@misc{MuesgensRadkePanitz, author = {M{\"u}sgens, Felix and Radke, Silvian M. and Panitz, Felix}, title = {Solar infeed during low demand hours - a problem?}, series = {2025 21st International Conference on the European Energy Market (EEM)}, journal = {2025 21st International Conference on the European Energy Market (EEM)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {979-8-3315-1278-1}, issn = {2165-4093}, doi = {10.1109/EEM64765.2025.11050359}, pages = {1 -- 6}, abstract = {This paper addresses negative electricity prices resulting from the integration of renewable energy sources into power systems. We show that a significant share of renewable capacity, particularly solar and wind, are unresponsive to negative prices. The study presents two scenarios for future excess generation in the German electricity system: a business-as-usual scenario and a scenario with enhanced demand-side flexibility. Results show that without increased demand flexibility, the system could face excess generation, i.e. supply exceeding demand at the lowest price currently allowed (-500E/MWh), of up to 15 GW by 2027, with negative prices causing significant market disruption. Conversely, the extended demand flexibility scenario could mitigate these issues significantly. The findings underscore the necessity for demand-side flexibility and efficient curtailment of RES output.}, language = {en} } @techreport{MuesgensLienert, author = {M{\"u}sgens, Felix and Lienert, Martin}, title = {Voraussetzungen einer optimalen Integration erneuerbarer Energien in das Stromversorgungssystem}, address = {K{\"o}ln [u.a.]}, language = {de} } @techreport{MuesgensLienert, author = {M{\"u}sgens, Felix and Lienert, Martin}, title = {F{\"o}rderung der Direktvermarktung und der bedarfsgerechten Einspeisung von Strom aus Erneuerbaren Energien}, address = {K{\"o}ln [u.a.]}, pages = {VI, 133}, language = {de} } @techreport{MuesgensLienertHildebrandt, author = {M{\"u}sgens, Felix and Lienert, Martin and Hildebrandt, Elmar}, title = {{\"O}konomische Auswirkungen einer Laufzeitverl{\"a}ngerung deutscher Kernkraftwerke}, publisher = {BDI}, address = {K{\"o}ln [u.a.]}, language = {de} } @misc{MuesgensBade, author = {M{\"u}sgens, Felix and Bade, Alexander}, title = {Optimierungsstrategien im Portfoliomanagement von Gasversorgungsunternehmen}, series = {GWF : das Gas- und Wasserfach}, volume = {151}, journal = {GWF : das Gas- und Wasserfach}, number = {11}, issn = {0016-4909}, pages = {732 -- 736}, language = {de} } @misc{MuesgensPeek, author = {M{\"u}sgens, Felix and Peek, Markus}, title = {Sind Kapazit{\"a}tsm{\"a}rkte in Deutschland erforderlich? - Eine kritische Analyse vor dem Hintergrund der {\"o}konomischen Theorie}, series = {Zeitschrift f{\"u}r neues Energierecht}, volume = {15}, journal = {Zeitschrift f{\"u}r neues Energierecht}, number = {6}, issn = {1434-3339}, pages = {576 -- 583}, language = {de} } @misc{MuesgensSteinhaus, author = {M{\"u}sgens, Felix and Steinhaus, Burkhard}, title = {Portfoliomanagement: Optimale Energiebeschaffung unter Beruecksichtigung von Risiken}, language = {de} } @misc{KreuzMuesgensWissen, author = {Kreuz, Sebastian and M{\"u}sgens, Felix and Wissen, Ralf}, title = {Was kosten die EEG-Bestandsanlagen bis 2030?}, series = {Energiewirtschaftliche Tagesfragen : ET}, volume = {64}, journal = {Energiewirtschaftliche Tagesfragen : ET}, number = {9}, pages = {60 -- 63}, language = {de} } @misc{MuesgensPeek, author = {M{\"u}sgens, Felix and Peek, Markus}, title = {Economics and Design of Balancing Power Markets in Germany}, series = {International Journal of Electrical Power \& Energy Systems}, journal = {International Journal of Electrical Power \& Energy Systems}, number = {55}, issn = {2070-3767}, pages = {392 -- 401}, language = {en} } @misc{MuesgensGrothe, author = {M{\"u}sgens, Felix and Grothe, Oliver}, title = {The Influence of Spatial Effects on Wind Power Revenues under Direct Marketing Rules}, series = {Energy Policy}, journal = {Energy Policy}, number = {58}, issn = {0301-4215}, doi = {10.1016/j.enpol.2013.03.004}, pages = {237 -- 247}, abstract = {In many countries, investments in renewable technologies have been accelerated by fixed feed-in tariffs for electricity from renewable energy sources (RES). While fixed tariffs accomplish this purpose, they lack incentives to align the RES production with price signals. Today, the intermittency of most RES increases the volatility of electricity prices and makes balancing supply and demand more complicated. Therefore, support schemes for RES have to be modified. Recently, Germany launched a scheme which gives wind power operators the monthly choice to either receive a fixed tariff or to risk a - subsidized - access to the wholesale electricity market. This paper quantifies revenues of wind turbines under this new subsidy and analyzes whether, when and where producers may profit. We find that the position of the wind turbine within the country significantly influences revenues in terms of EUR/MWh. The results are important for wind farm operators deciding whether electricity should be sold in the fixed feed-in tariff or in the wholesale market. However, no location is persistently, i.e., in every calendar month of the year, above the average. This limits the effect of the new subsidy scheme on investment locations and long term improvements in the aggregated wind feed-in profile.}, language = {en} } @inproceedings{MuesgensLienert, author = {M{\"u}sgens, Felix and Lienert, Martin}, title = {Political Shocks and Efficient Investment in Electricity Markets}, series = {European Energy Market (EEM), 2012 9th International Conference on the}, booktitle = {European Energy Market (EEM), 2012 9th International Conference on the}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-0834-2}, doi = {10.1109/EEM.2012.6491508}, pages = {1 -- 9}, abstract = {This paper presents a fundamental electricity market model capturing many essential features of investments in electricity markets - fuel price developments, investment and generation costs, demand and dynamic effects such as start-up costs and (pump) storage dispatch. The partial equilibrium model minimizes the total costs of the electricity system ensuring demand coverage. The model optimizes both long-run investment as well as short-run dispatch decisions. From the optimal solution, the optimal future generation technology mix and dispatch can be derived. Furthermore, using the concept of shadow prices in mathematical programming, we calculate electricity price predictions. The model is applied to analyze the effect of recent political shocks in German nuclear energy policy on the electricity market and the power plant portfolio. The effect is quantified using the example of a specific combined cycle gas turbine project. We find a significant impact on the future net revenues.}, language = {en} } @misc{MuesgensOckenfelsPeek, author = {M{\"u}sgens, Felix and Ockenfels, Axel and Peek, Markus}, title = {Balancing Power Markets in Germany: Timing Matters}, series = {Zeitschrift f{\"u}r Energiewirtschaft}, volume = {36}, journal = {Zeitschrift f{\"u}r Energiewirtschaft}, number = {1}, issn = {1866-2765}, pages = {1 -- 7}, abstract = {This paper analyzes timing issues on the German balancing power market. We focus the analysis on the length of the bidding period, i.e. the length of the time period a supplier has to provide balancing power capacities, and the question of how far before the beginning of a bidding period the auction should be carried out. We show that different load levels require different plants for the optimal provision of balancing power. In a longer bidding period, the power plants that have the lowest average cost in the bidding period are unlikely to be efficient in all hours of the bidding period. Hence, shortening bidding periods can increase efficiency. Furthermore, we show that an early commitment on a power plant's mode of operation (when uncertainty about resulting spot prices is still relatively high) also reduces efficiency. This suggests that the auction should be held relatively close to the beginning of the bidding period. Furthermore, we discuss some advantages of a liquid real time market.}, language = {en} } @misc{MuesgensSeeliger, author = {M{\"u}sgens, Felix and Seeliger, Andreas}, title = {Fracking in Deutschland und Europa - Hype oder Chance}, series = {ifo Schnelldienst}, volume = {66}, journal = {ifo Schnelldienst}, number = {24}, pages = {3 -- 10}, abstract = {Welche Chancen und Risiken ergeben sich aus der Schiefergasf{\"o}rderung in Europa und speziell in Deutschland?}, language = {de} } @misc{Muesgens, author = {M{\"u}sgens, Felix}, title = {Quantifying Market power in the German Wholesale Electricity Market Using a Dynamic Multi-Regional Dispatch Model}, series = {Journal of Industrial Economics}, volume = {54}, journal = {Journal of Industrial Economics}, number = {4}, issn = {1467-6451}, pages = {471 -- 498}, abstract = {This paper quantifies the degree of market power in the German wholesale electricity market. A dispatch model simulates competitive marginal costs. In addition to common input factors like plant capacities, fuel prices and load structures, the model also incorporates international power exchange and dynamic effects like start-up costs and hydro storage plant dispatch. The simulated prices are subsequently used as a benchmark for observed electricity prices. The analysis reveals significant market power in the German electricity market, mainly exhibited during peak periods. Producer surplus is also increased significantly due to strategic behavior.}, language = {en} } @inproceedings{BartelsMuesgens, author = {Bartels, Michael and M{\"u}sgens, Felix}, title = {Do Technology Specific CO2-Allocations Distort Investments?}, series = {Securing energy in insecure times, 29th IAEE International Conference, 7-10 June 2006 in Potsdam}, booktitle = {Securing energy in insecure times, 29th IAEE International Conference, 7-10 June 2006 in Potsdam}, publisher = {IAEE}, address = {Cleveland}, pages = {367 -- 374}, language = {en} } @misc{GrowitschMuesgens, author = {Growitsch, Christian and M{\"u}sgens, Felix}, title = {The Economics of Restructuring the German Electricity Sector}, series = {Zeitschrift f{\"u}r Energiewirtschaft}, volume = {29}, journal = {Zeitschrift f{\"u}r Energiewirtschaft}, number = {3}, issn = {0343-5377}, pages = {221 -- 230}, abstract = {The debate about the development of German electricity prices after the liberalization of energy markets in 1998 raises the question of failures in market restructuring. However, a general statement would be misleading for two main reasons. Firstly, the price development, analyzed for the exemplary case of household prices, shows significant differences among the stages of the value chain. Secondly, the underlying cost structure might have changed from 1998 to 2004. While such effects can be expected to level out over time, they can distort the comparison of a small period of observation. For these reasons, we analyzed the different price components at a detailed level, finding a considerable price reduction of about 32\% in generation and a much lower reduction of 13\% in transmission and distribution tariffs. These decreases have been mostly compensated by a significant increase in taxes and subsidies (+56\%).}, language = {en} } @inproceedings{KreuzbergerMuesgens, author = {Kreuzberger, M. and M{\"u}sgens, Felix}, title = {Der Einfluss der Speicherkrafftwerke in der Alpenregion auf die Strompreise in Deutschland}, series = {2. Internationale Energiewirtschaftstagung, IEWT 2001 Wien}, booktitle = {2. Internationale Energiewirtschaftstagung, IEWT 2001 Wien}, publisher = {Institut f{\"u}r Elektrische Anlagen und Energiewirtschaft}, address = {Wien}, language = {de} } @misc{MuesgensPeichertPerneretal., author = {M{\"u}sgens, Felix and Peichert, Patrick and Perner, Jens and Riechmann, Christoph and Wissen, Ralf}, title = {Emissionshandel oder F{\"o}rderung Erneuerbarer in Europa: Wer sollte langfristig das Steuer {\"u}bernehmen?}, series = {ET Energiewirtschaftliche Tagesfragen}, journal = {ET Energiewirtschaftliche Tagesfragen}, number = {9}, issn = {0720-6240}, pages = {8 -- 12}, language = {de} } @incollection{MuesgensSeeliger, author = {M{\"u}sgens, Felix and Seeliger, Andreas}, title = {Nicht-konventionelle Erdgasvorkommen in den USA und ihre Auswirkungen auf Europa}, series = {Energie f{\"u}r Deutschland 2013 : Fakten, Perspektiven und Positionen im globalen Kontext}, booktitle = {Energie f{\"u}r Deutschland 2013 : Fakten, Perspektiven und Positionen im globalen Kontext}, publisher = {Weltenergierat - Deutschland e.V.}, address = {Berlin}, pages = {1 -- 31}, language = {de} } @incollection{MuesgensOckenfels, author = {M{\"u}sgens, Felix and Ockenfels, Axel}, title = {Marktdesign in der Energiewirtschaft}, series = {Umwelt und Energie : Wirtschaftswissenschaftliches Seminar Ottobeuren}, booktitle = {Umwelt und Energie : Wirtschaftswissenschaftliches Seminar Ottobeuren}, editor = {Franz, Wolfgang and Ramser, Hans-J{\"u}rgen and Stadler, Manfred}, publisher = {Mohr Siebeck}, address = {T{\"u}bingen}, isbn = {978-3-16-149104-7}, pages = {247 -- 272}, language = {de} } @inproceedings{ScholzMuesgens, author = {Scholz, Daniel and M{\"u}sgens, Felix}, title = {Increasing flexibility of combined heat and power plants with Power-to-Heat}, series = {Proceedings, 12th International Conference on the European Energy Market (EEM), Lisbon, 19-22 May 2015}, booktitle = {Proceedings, 12th International Conference on the European Energy Market (EEM), Lisbon, 19-22 May 2015}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-6692-2}, doi = {10.1109/EEM.2015.7216771}, pages = {5}, language = {en} } @inproceedings{MoebiusMuesgens, author = {M{\"o}bius, Thomas and M{\"u}sgens, Felix}, title = {The Effect of Variable Renewable Energy Sources on the Volatility of Wholesale Electricity Prices - A Stylized Full Cost Approach}, series = {Proceedings, 12th International Conference on the European Energy Market (EEM), Lisbon, 19-22 May 2015}, booktitle = {Proceedings, 12th International Conference on the European Energy Market (EEM), Lisbon, 19-22 May 2015}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-6692-2}, doi = {10.1109/EEM.2015.7216772}, pages = {5}, language = {en} } @misc{MuesgensOckenfels, author = {M{\"u}sgens, Felix and Ockenfels, Axel}, title = {Design von Informationsfeedback in Regelenergiem{\"a}rkten}, series = {Zeitschrift f{\"u}r Energiewirtschaft}, volume = {35}, journal = {Zeitschrift f{\"u}r Energiewirtschaft}, number = {4}, issn = {1866-2765}, doi = {10.1007/s12398-011-0062-0}, pages = {249 -- 256}, abstract = {Auf vielen kontinentaleurop{\"a}ischen Energiem{\"a}rkten werden derzeit die Regeln f{\"u}r das Feedback auf Regelenergiem{\"a}rkten diskutiert: welche Informationen zu vergangenen Auktionen sollen wann ver{\"o}ffentlicht werden? Dieser Artikel beleuchtet Vor- und Nachteile verschiedener Feedbackpolitiken am Beispiel der Schweizer Regelenergiem{\"a}rkte. Die Ver{\"o}ffentlichung des Grenzleistungspreises ist in der Regel zu empfehlen. Dies gilt jedoch nicht f{\"u}r weitere Informationen (insbesondere extramarginale Gebote). Die optimale Feedbackpolitik h{\"a}ngt allerdings vom jeweiligen Marktdesign und von der Marktstruktur ab}, language = {de} } @misc{MuesgensBartels, author = {M{\"u}sgens, Felix and Bartels, Michael}, title = {Is a Cap-and-Trade System always efficient? The Case of New Entrants in the Emission Trading System of the EU}, series = {Journal of Energy Engineering}, volume = {134}, journal = {Journal of Energy Engineering}, number = {2}, issn = {0733-9402}, pages = {33 -- 39}, language = {en} } @misc{KuntzMuesgens, author = {Kuntz, Ludwig and M{\"u}sgens, Felix}, title = {Modelling Start-Up Costs of Multiple Technologies in Electricity Markets}, series = {Mathematical Methods of Operations Research}, volume = {66}, journal = {Mathematical Methods of Operations Research}, number = {1}, issn = {1432-2994}, doi = {10.1007/s00186-007-0148-y}, pages = {21 -- 32}, language = {en} } @incollection{MuesgensPeekSchulz, author = {M{\"u}sgens, Felix and Peek, Markus and Schulz, W.}, title = {Investigation on the Demand for Transmission Capacity - Investigation for France-Italy based on a Generation Dispatch Model}, series = {Analysis of Electricity Network Capacities and Identification of Congestion}, booktitle = {Analysis of Electricity Network Capacities and Identification of Congestion}, editor = {Haubrich, Hans-J{\"u}rgen}, publisher = {IAEW}, address = {Aachen}, language = {en} } @techreport{MuesgensSchulz, author = {M{\"u}sgens, Felix and Schulz, Walter}, title = {Energiereport IV: Die Entwicklung der Energiem{\"a}rkte bis zum Jahr 2030 - Energiewirtschaftliche Referenzprognose}, publisher = {Vulkan Verlag}, address = {Essen}, language = {de} } @phdthesis{Muesgens, author = {M{\"u}sgens, Felix}, title = {The Economics of Wholesale Electricity Markets}, publisher = {Universit{\"a}t}, address = {K{\"o}ln}, pages = {VII, 119}, abstract = {Die Dissertation analysiert die {\"o}konomischen Zusammenh{\"a}nge und Wechselwirkungen auf Großhandelsm{\"a}rkten f{\"u}r Strom.}, language = {en} } @misc{GrotheMuellerMuesgens, author = {Grothe, Oliver and M{\"u}ller, Christoph and M{\"u}sgens, Felix}, title = {Modellierung von Energiepreisrisiken durch Bindefristen bei {\"o}ffentlichen Ausschreibungen}, series = {Zeitschrift f{\"u}r Energie, Markt und Wettbewerb}, journal = {Zeitschrift f{\"u}r Energie, Markt und Wettbewerb}, number = {6}, pages = {59 -- 62}, language = {de} } @misc{GrowitschMuesgens, author = {Growitsch, Christian and M{\"u}sgens, Felix}, title = {Die Liberalisierung des deutschen Strommarktes - ein Erfolgsmodell?}, series = {Wirtschaft im Wandel}, journal = {Wirtschaft im Wandel}, number = {12}, issn = {0947-3211}, pages = {383 -- 387}, language = {de} } @inproceedings{KreuzMuesgens, author = {Kreuz, Sebastian and M{\"u}sgens, Felix}, title = {Asymmetries in the German Diesel Retail Market}, series = {IEEE Conference Proceeding EEM 2016}, booktitle = {IEEE Conference Proceeding EEM 2016}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5090-1298-5}, doi = {10.1109/EEM.2016.7521192}, pages = {5}, abstract = {Economists often analyze asymmetric cost passthrough between retail fuel prices and oil prices ('Rockets and Feathers') as a proxy for market power. Such symmetries have been analyzed for different countries and time periods. However, few studies have been conducted for the German market. Furthermore, no study has differentiated between company types in this context. In this paper, we analyze market behavior in the German diesel market. We compare the pricing strategies of independent petrol stations with the general diesel market. Independent petrol stations have no connection with popular fuel brands and therefore might decrease market power of dominating brand stations. We use an error correction model for the period from 2011 to 2012 to evaluate the specific market behavior. We conclude that asymmetric pricing behavior is given for independent petrol stations as well as for the whole German market.}, language = {en} } @inproceedings{KaesoMuesgensGrothe, author = {K{\"a}so, Mathias and M{\"u}sgens, Felix and Grothe, Oliver}, title = {Dynamic Forecast Combinations of Improved Individual Forecasts for the Prediction of Wind Energy}, series = {IEEE Conference Proceedings EEM 2016}, booktitle = {IEEE Conference Proceedings EEM 2016}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5090-1298-5}, doi = {10.1109/EEM.2016.7521228}, pages = {5}, abstract = {We study the prediction performance of different improved individual wind energy forecasts in various static and dynamic ombination processes. To this end, we develop a combined error minimization model (CEMM) based on nonlinear functions. This approach reflects the nonlinear nature of weather and especially of wind energy prediction problems. Based on the model, we construct significantly improved individual forecasts. The corresponding time dependent model coefficients are determined by dynamic OLS (ordinary least squares) regression and Kalman filter methods. The former method shows a slightly better performance than the Kalman filter based approaches. Further improvements can be achieved by a combination of these improved wind energy forecasts. In this case, the combination coefficients are calculated from a static and two dynamic OLS regressions. The resulting forecasts are characterized by a further increased prediction accuracy compared to the combination of the uncorrected forecast data and can outperform a given benchmark.}, language = {en} } @techreport{MuesgensKaeso, author = {M{\"u}sgens, Felix and K{\"a}so, Mathias}, title = {Auktionsdesign f{\"u}r Photovoltaikanlagen auf Freifl{\"a}chen}, publisher = {r2b energy consulting GmbH [u.a.]}, address = {K{\"o}ln ; Cottbus}, pages = {39}, language = {de} } @techreport{BadeKaesoLienertetal., author = {Bade, Alexander and K{\"a}so, Mathias and Lienert, Martin and M{\"u}sgens, Felix and Schmitz, Christoph and Wissen, Ralf}, title = {Ausgestaltung eines Auktionsmodells f{\"u}r EE-Anlagen in Deutschland}, publisher = {r2b energy consulting GmbH [u.a.]}, address = {K{\"o}ln ; Cottbus}, pages = {90}, language = {de} } @techreport{MuesgensRiepinPoudineh, author = {M{\"u}sgens, Felix and Riepin, Iegor and Poudineh, Rahmat}, title = {A Note on Climate Policy Negotiations at the Threshold of COP-21 in Paris}, pages = {6}, language = {en} } @misc{BadeMuesgens, author = {Bade, Alexander and M{\"u}sgens, Felix}, title = {Verteilungsaspekte einer Harmonisierung der europ{\"a}ischen Klimaschutzmaßnahmen}, series = {Zeitschrift f{\"u}r Energiewirtschaft}, volume = {40}, journal = {Zeitschrift f{\"u}r Energiewirtschaft}, number = {1}, issn = {0343-5377}, doi = {10.1007/s12398-016-0170-y}, pages = {33 -- 40}, language = {de} } @misc{BadeMuesgens, author = {Bade, Alexander and M{\"u}sgens, Felix}, title = {Auswirkungen eines 'Wassertiefenbonus' bei Ausschreibungen f{\"u}r Windenergieanlagen auf See}, series = {ET Energiewirtschaftliche Tagesfragen}, volume = {66}, journal = {ET Energiewirtschaftliche Tagesfragen}, number = {10}, issn = {0013-743X}, pages = {25 -- 27}, language = {de} } @inproceedings{Muesgens, author = {M{\"u}sgens, Felix}, title = {Roads to Transition in German Energy Policy}, series = {The road to Paris \& multi-level carbon pricing: Getting the incentives right at the global, European \& national level}, booktitle = {The road to Paris \& multi-level carbon pricing: Getting the incentives right at the global, European \& national level}, publisher = {Potsdam-Institut f{\"u}r Klimafolgenforschung}, address = {Potsdam, Cottbus}, pages = {46 -- 57}, language = {en} } @techreport{BadeMuesgens, author = {Bade, Alexander and M{\"u}sgens, Felix}, title = {Warum brauchen wir eine st{\"a}rkere Harmonisierung der Energiepolitik in der EU?}, publisher = {r2b energy consulting GmbH [u.a.]}, address = {K{\"o}ln ; Cottbus}, language = {de} } @techreport{BadeGrowitschLienertetal., author = {Bade, Alexander and Growitsch, Christian and Lienert, Martin and M{\"u}sgens, Felix and Schmitz, Christoph and Wolf, A.}, title = {Aktionsprogramm Klimaschutz 2020: Konsequenzen potenzieller Kraftwerksstilllegungen}, publisher = {r2b energy consulting GmbH [u.a.]}, address = {K{\"o}ln ; Hamburg ; Cottbus}, pages = {48}, language = {de} } @inproceedings{ScholzMuesgens, author = {Scholz, Daniel and M{\"u}sgens, Felix}, title = {How to improve standard load profiles: Updating, regionalization and smart meter data}, series = {14th International Conference on the European Energy Market (EEM), Dresden Germany, 6-9 June 2017}, booktitle = {14th International Conference on the European Energy Market (EEM), Dresden Germany, 6-9 June 2017}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5090-5499-2}, doi = {10.1109/EEM.2017.7981939}, pages = {6}, language = {en} } @inproceedings{MoebiusMuesgens, author = {M{\"o}bius, Thomas and M{\"u}sgens, Felix}, title = {Electricity Market Equilibria and Intermittent Renewables - A Stochastic Approach}, series = {14th International Conference on the European Energy Market (EEM), Dresden Germany, 6-9 June 2017}, booktitle = {14th International Conference on the European Energy Market (EEM), Dresden Germany, 6-9 June 2017}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5090-5499-2}, doi = {10.1109/EEM.2017.7981988}, pages = {5}, language = {en} } @misc{KreuzMuesgens, author = {Kreuz, Sebastian and M{\"u}sgens, Felix}, title = {The German Energiewende and its Roll-Out of Renewable Energies: An Economic Perspective}, series = {Frontiers in Energy}, volume = {11}, journal = {Frontiers in Energy}, number = {2}, issn = {2095-1698}, doi = {10.1007/s11708-017-0467-5}, pages = {126 -- 134}, language = {en} } @misc{MuesgensSeeliger, author = {M{\"u}sgens, Felix and Seeliger, Andreas}, title = {Der Shale Gas-Boom in den USA und die {\"o}konomischen Auswirkungen auf Deutschland}, series = {ifo Schnelldienst}, volume = {66}, journal = {ifo Schnelldienst}, number = {24}, issn = {0018-974X}, pages = {3 -- 5}, language = {de} } @incollection{KreuzMuesgens, author = {Kreuz, Sebastian and M{\"u}sgens, Felix}, title = {Energiewirtschaft - Ver{\"a}nderung und Wandel}, series = {Kommunikation erneuerbarer Energieversorgung}, booktitle = {Kommunikation erneuerbarer Energieversorgung}, editor = {Hipp, Christiane and Kaelber, Claus and M{\"u}ller, Jens}, publisher = {e-transform}, address = {Augsburg}, pages = {30 -- 37}, language = {de} } @incollection{MuesgensSeeliger, author = {M{\"u}sgens, Felix and Seeliger, Andreas}, title = {Unkonventionelle Erdgasvorkommen und ihre Auswirkungen auf Europa}, series = {Energie f{\"u}r Deutschland 2013 : Fakten, Perspektiven und Positionen im globalen Kontext}, booktitle = {Energie f{\"u}r Deutschland 2013 : Fakten, Perspektiven und Positionen im globalen Kontext}, publisher = {Weltenergierat - Deutschland e.V.}, address = {Berlin}, pages = {7 -- 31}, language = {de} } @techreport{LenzenLienertMuesgens, author = {Lenzen, V. and Lienert, Martin and M{\"u}sgens, Felix}, title = {Effizientes Regime f{\"u}r den Ausbau der EE, Weiterentwicklung des Energy-Only-Marktes und Erhaltung des EU-ETS}, publisher = {Frontier Economics [u.a.]}, address = {Brussels [u.a.]}, pages = {150}, language = {de} } @misc{Muesgens, author = {M{\"u}sgens, Felix}, title = {{\"O}konomische Besonderheiten des Energiemarktes}, series = {EnWZ : Zeitschrift f{\"u}r das gesamte Recht der Energiewirtschaft}, volume = {6}, journal = {EnWZ : Zeitschrift f{\"u}r das gesamte Recht der Energiewirtschaft}, number = {7}, issn = {2195-2841}, pages = {243 -- 247}, language = {de} } @misc{Muesgens, author = {M{\"u}sgens, Felix}, title = {Equilibrium prices and investment in electricity systems with CO₂-emission trading and high shares of renewable energies}, series = {Energy Economics}, volume = {86}, journal = {Energy Economics}, issn = {0140-9883}, doi = {10.1016/j.eneco.2018.07.028}, pages = {8}, language = {en} } @inproceedings{KreuzbergMuesgens, author = {Kreuzberg, Martin and M{\"u}sgens, Felix}, title = {Der Einfluss der Speicherkraftwerke in der Alpenregion auf die Strompreise in Deutschland - Eine modellgest{\"u}tzte Analyse}, series = {2. Internationale Energiewirtschaftstagung, IEWT 2001, 21. bis 23. Februar 2001, Wien}, booktitle = {2. Internationale Energiewirtschaftstagung, IEWT 2001, 21. bis 23. Februar 2001, Wien}, publisher = {Institut f{\"u}r Elektrische Anlagen und Energiewirtschaft}, address = {Wien}, language = {de} } @techreport{KreuzMuesgensWissen, author = {Kreuz, Sebastian and M{\"u}sgens, Felix and Wissen, Ralf}, title = {Absch{\"a}tzung von F{\"o}rderkosten der Bestandsanlagen erneuerbarer Energien bis zum Jahr 2030}, publisher = {Brandenburgische Technische Universit{\"a}t}, address = {Cottbus ; Senftenberg}, pages = {26}, language = {de} } @techreport{MuesgensNeuhoff, author = {M{\"u}sgens, Felix and Neuhoff, Karsten}, title = {Modelling Dynamic Constraints in Electricity Markets and the Costs of Uncertain Wind Output}, publisher = {University of Cambridge, Electricity Policy Research Group}, address = {Cambridge}, pages = {26}, language = {en} } @techreport{Muesgens, author = {M{\"u}sgens, Felix}, title = {Sektorziele verteuern den Klimaschutz und behindern die Sektorenkopplung}, publisher = {acatech - Deutsche Akademie der Technikwissenschaften}, address = {Berlin}, language = {de} } @inproceedings{RiepinMoebiusMuesgens, author = {Riepin, Iegor and M{\"o}bius, Thomas and M{\"u}sgens, Felix}, title = {Integrated Electricity and Gas Market Modeling - Effects of Gas Demand Uncertainty}, series = {15th International Conference on the European Energy Market (EEM), 27-29 June 2018, Lodz, Poland}, booktitle = {15th International Conference on the European Energy Market (EEM), 27-29 June 2018, Lodz, Poland}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5386-1488-4}, doi = {10.1109/EEM.2018.8469790}, pages = {5}, abstract = {This paper develops an integrated fundamental investment model which considers both the gas and electricity sector. Furthermore, we adopt the theory of stochastic programming with recourse in the combined model to account for uncertainty in the gas market. This approach enables us to analyze how uncertain gas demand in other sectors affects decisions to invest in electricity generation capacities. We find an overall decrease and a reallocation of investments in gas-fired power plants. We also quantify the expected costs of ignoring uncertainty.}, language = {en} } @inproceedings{MuesgensRiepin, author = {M{\"u}sgens, Felix and Riepin, Iegor}, title = {Is Offshore Already Competitive? Analyzing German Offshore Wind Auctions}, series = {15th International Conference on the European Energy Market (EEM), 27-29 June 2018, Lodz, Poland}, booktitle = {15th International Conference on the European Energy Market (EEM), 27-29 June 2018, Lodz, Poland}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5386-1488-4}, doi = {10.1109/EEM.2018.8469851}, pages = {6}, abstract = {Two German offshore wind auctions in 2017 and 2018 saw more than 50\% of winning capacity with "zero bids". The nature of these surprisingly low bids is, however, not yet clear. In our paper, we discuss four hypotheses for possible causes for the auction results: (i) the bids are expected to be profitable due to market development and technological progress, (ii) bids can be perceived as "options to build" that can be realized if projects are profitable, (iii) bids are adjusted to secure grid access, and (iv) other long term reasons not primarily driven by the profitability of the winning bids. Our results suggest that there is evidence for all hypotheses to influence the decision making of auction bidders. In fact, we suggest to see the four hypothesis as cumulative value components, which reveal the true value of winning the auction at "zero cost" in aggregate.}, language = {en} } @misc{KreuzMuesgens, author = {Kreuz, Sebastian and M{\"u}sgens, Felix}, title = {Measuring the cost of renewable energy in Germany}, series = {The Electricity Journal}, volume = {31}, journal = {The Electricity Journal}, number = {4}, issn = {1040-6190}, pages = {29 -- 33}, abstract = {Electricity generation from renewable energy is increasing globally. However, in most electricity systems this growth comes at a price in the form of increased costs. This paper quantifies the costs for renewable energy installations built in Germany between 2000 and 2011. Our analysis sheds light on the 'Energiewende' in Germany, which is a front runner in the worldwide renewables rollout. To evaluate cost, benefits and policy instruments, the methodology can also be applied to other countries.}, language = {en} } @misc{EngelhornMuesgens, author = {Engelhorn, Thorsten and M{\"u}sgens, Felix}, title = {How to estimate wind-turbine infeed with incomplete stock data: A general framework with an application to turbine-specific market values in Germany}, series = {Energy Economics}, volume = {72}, journal = {Energy Economics}, issn = {0140-9883}, pages = {542 -- 557}, abstract = {This paper analyses market values of wind energy converters at the individual turbine level on a very large scale. Such an analysis is usually precluded by the lack of detailed public data on the stock of wind turbines. We therefore present a general method to estimate incomplete turbine stock data and generate hourly yields of individual turbines based on completed turbine stock data and highly disaggregated hourly wind speed data. On this basis, we calculate hourly infeed and annual market values of up to 25,700 wind turbines in Germany from 2005 to 2015. We show the spread in market values on turbine level, quantify regional differences and discuss the effect of turbine age on market values. We show that turbines in central Germany have, on average, lower market values than turbines in the north, south or far west of Germany. Furthermore, we show that modern turbines reach higher market values than older turbines. We also analyse the drivers of market values, differentiating between infeed-price correlation and standard deviation.}, language = {en} } @techreport{KreuzMuesgens, author = {Kreuz, Sebastian and M{\"u}sgens, Felix}, title = {Asymmetric Diesel Retail Pricing Strategies: Depending on Brands and Population Densities?}, publisher = {Brandenburgische Technische Universit{\"a}t}, address = {Cottbus ; Senftenberg}, pages = {30}, abstract = {Asymmetric cost pass-through between crude oil and retail fuel prices "Rockets and Feathers" has been analysed for different countries and time periods. However, few studies have been conducted for the German market. Furthermore, this study differentiates between company types and regions in this context. We compare price setting behaviour of independent and major brand stations following oil price changes. Furthermore, we differentiate between regions with higher and lower population densities. We establish an error correction model with a novel data set from the years 2011 to 2012. Our results confirm significant differences between price setting behaviour after oil price changes of major brand stations and other stations.}, language = {en} } @misc{KreuzMuesgens, author = {Kreuz, Sebastian and M{\"u}sgens, Felix}, title = {Asymmetric Diesel Retail Pricing Strategies: Depending on Brands and Population Densities?}, series = {Zeitschrift f{\"u}r Energiewirtschaft}, volume = {43}, journal = {Zeitschrift f{\"u}r Energiewirtschaft}, number = {2}, issn = {0343-5377}, doi = {10.1007/s12398-019-00252-x}, pages = {117 -- 130}, language = {en} } @techreport{RiepinMuesgens, author = {Riepin, Iegor and M{\"u}sgens, Felix}, title = {Seasonal Flexibility in the European Natural Gas Market}, publisher = {University of Cambridge, Energy Policy Research Group}, address = {Cambridge}, pages = {28}, language = {en} } @techreport{EngelhornMuesgens, author = {Engelhorn, Thorsten and M{\"u}sgens, Felix}, title = {Why is Germany's energy transition so expensive? Quantifying costs from wind energy decentralisation}, publisher = {Brandenburgische Technische Universit{\"a}t}, address = {Cottbus ; Senftenberg}, pages = {35}, language = {en} } @techreport{MuesgensKreuz, author = {M{\"u}sgens, Felix and Kreuz, Sebastian}, title = {{\"U}ber eine CO2-Bepreisung zur Sektorenkopplung: Ein neues Marktdesign f{\"u}r die Energiewende}, pages = {26}, abstract = {Dieser Impuls stellt Zwischenergebnisse der ESYS Arbeitsgruppe „Strommarktdesign" vor. Ein Schwerpunkt der Arbeitsgruppe ist ein verbessertes Marktdesign f{\"u}r die Sektorenkopplung, dessen wesentlicher Bestandteil eine wirksame CO2-Bepreisung ist. Aufgrund der aktuellen klimapolitischen Debatten und der damit verbundenen großen Dynamik hat die Arbeitsgruppe dieses Impuls mit besonderem Fokus auf dem CO2-Preis verfasst. Die Gesamtergebnisse werden 2020 in einer ausf{\"u}hrlichen Studie ver{\"o}ffentlicht, die auch weitere Aspekte des Strommarktdesigns umfasst.}, language = {de} } @misc{ScholzZundelMuesgens, author = {Scholz, Daniel and Zundel, Stefan and M{\"u}sgens, Felix}, title = {Price and Employment Effects triggered by a German Coal Phase-Out - A Discourse Analysis}, series = {16th International Conference on the European Energy Market (EEM)}, journal = {16th International Conference on the European Energy Market (EEM)}, publisher = {IEEE}, isbn = {978-1-7281-1257-2}, issn = {2165-4093}, doi = {10.1109/EEM.2019.8916478}, pages = {1}, language = {en} } @misc{BatzLineiroMuesgens, author = {Batz Li{\~n}eiro, Taimyra and M{\"u}sgens, Felix}, title = {A first analysis of the photovoltaic auction program in Germany}, series = {16th International Conference on the European Energy Market (EEM)}, journal = {16th International Conference on the European Energy Market (EEM)}, isbn = {978-1-7281-1257-2}, issn = {2165-4093}, doi = {10.1109/EEM.2019.8916472}, pages = {5}, language = {en} } @misc{JansenStaffellKitzingetal., author = {Jansen, Malte and Staffell, Iain and Kitzing, Lena and Quoilin, Sylvain and Wiggelinkhuizen, Edwin and Bulder, Bernard and Riepin, Iegor and M{\"u}sgens, Felix}, title = {Offshore wind competitiveness in mature markets without subsidy}, series = {Nature Energy}, volume = {5}, journal = {Nature Energy}, number = {8}, issn = {2058-7546}, doi = {10.1038/s41560-020-0661-2}, pages = {614 -- 622}, language = {en} } @misc{MuesgensRiepin, author = {M{\"u}sgens, Felix and Riepin, Iegor}, title = {Offshore-Windenergie - subventionsfrei?}, series = {e|m|w.Trends : das Innovationsmagazin von ener|gate}, journal = {e|m|w.Trends : das Innovationsmagazin von ener|gate}, number = {5}, issn = {1611-2997}, language = {de} } @techreport{RiepinJansenStaffelletal., author = {Riepin, Iegor and Jansen, Malte and Staffell, Iain and M{\"u}sgens, Felix}, title = {The era of 'negative-subsidy' offshore wind power has almost arrived}, language = {en} } @techreport{WeyerMuesgens, author = {Weyer, Hartmut and M{\"u}sgens, Felix}, title = {Netzengp{\"a}sse als Herausforderung f{\"u}r das Stromversorgungssystem. Regelungsfelder, Status quo und Handlungsoptionen}, address = {M{\"u}nchen}, isbn = {978-3-9820053-2-4}, pages = {98}, language = {de} } @misc{BatzLineiroMuesgens, author = {Batz Li{\~n}eiro, Taimyra and M{\"u}sgens, Felix}, title = {Evaluating the German PV auction program: The secrets of individual bids revealed}, series = {Energy Policy}, journal = {Energy Policy}, issn = {0301-4215}, doi = {10.1016/j.enpol.2021.112618}, abstract = {Auctions have become the primary instrument for promoting renewable energy around the world. However, the data published on such auctions are typically limited to aggregated information (e.g., total awarded capacity, average payments). These data constraints hinder the evaluation of realisation rates and other relevant auction dynamics. In this study, we present an algorithm to overcome these data limitations in German renewable energy auction programme by combining publicly available information from four different databases. We apply it to the German solar auction programme and evaluate auctions using quantitative methods. We calculate realisation rates and—using correlation and regression analysis—explore the impact of PV module prices, competition, and project and developer characteristics on project realisation and bid values. Our results confirm that the German auctions were effective. We also found that project realisation took, on average, 1.5 years (with 28\% of projects finished late and incurring a financial penalty), nearly half of projects changed location before completion (again, incurring a financial penalty) and small and inexperienced developers could successfully participate in auctions.}, language = {en} } @misc{RiepinMoebiusMuesgens, author = {Riepin, Iegor and M{\"o}bius, Thomas and M{\"u}sgens, Felix}, title = {Modelling uncertainty in coupled electricity and gas systems - is it worth the effort?}, series = {Applied Energy}, volume = {285}, journal = {Applied Energy}, issn = {1872-9118}, doi = {10.1016/j.apenergy.2020.116363}, pages = {14}, abstract = {The interdependence of electricity and natural gas markets is becoming a major topic in energy research. Integrated energy models are used to assist decision-making for businesses and policymakers addressing challenges of energy transition and climate change. The analysis of complex energy systems requires large-scale models, which are based on extensive databases, intertemporal dynamics and a multitude of decision variables. Integrating such energy system models results in increased system complexity. This complexity poses a challenge for energy modellers to address multiple uncertainties that affect both markets. Stochastic optimisation approaches enable an adequate consideration of uncertainties in investment and operation planning; however, stochastic modelling of integrated large-scale energy systems further scales the level of complexity. In this paper, we combine integrated and stochastic optimisation problems and parametrise our model for European electricity and gas markets. We analyse and compare the impact of uncertain input parameters, such as gas and electricity demand, renewable energy capacities and fuel and CO2 prices, on the quality of the solution obtained in the integrated optimisation problem. Our results quantify the value of encoding uncertainty as a part of a model. While the methodological contribution should be of interest for energy modellers, our findings are relevant for industry experts and stakeholders with an empirical interest in the European energy system.}, language = {en} } @misc{EngelhornMuesgens, author = {Engelhorn, Thorsten and M{\"u}sgens, Felix}, title = {Why is Germany's energy transition so expensive? Quantifying costs from wind energy decentralisation}, series = {Resource and Energy Economics}, volume = {65}, journal = {Resource and Energy Economics}, issn = {1873-0221}, doi = {10.1016/j.reseneeco.2021.101241}, pages = {18}, abstract = {This paper discusses the efficiency of promotion schemes for renewable energy sources using the example of onshore wind energy in Germany. We analyse whether the scheme incentivised a cost-minimal capacity build-up by developing a model to derive two cost-minimal benchmark scenarios, which are then compared to the historical capacity build-up between 1995 and 2015. The costs of the two cost-minimising benchmark scenarios are significantly lower than those of the historical build-up. The benchmark cost reduction largely stems from greater efficiency—fewer turbines are being constructed overall but they are being placed at better wind sites so the annual production of wind energy remains unchanged. Hence, aggregated turbine land use is also significantly down in these scenarios. Furthermore, we compare costs for consumers, as protecting consumers from price discrimination of producers is sometimes used to justify higher payments for low-wind sites. However, our results show that the efficiency gain from building at high wind sites outweighs the distributional effect, even from a consumer's perspective.}, language = {en} } @misc{AntweilerMuesgens, author = {Antweiler, Werner and M{\"u}sgens, Felix}, title = {On the long-term merit order effect of renewable energies}, series = {Energy Economics}, volume = {99}, journal = {Energy Economics}, issn = {0140-9883}, doi = {10.1016/j.eneco.2021.105275}, pages = {19}, abstract = {The merit order effect describes the lowering of the average wholesale electricity price due to increased capacity of renewable energies. This effect has been observed in many places. While it is beneficial for consumers, it has triggered concerns about the economic viability of legacy plants. Is this merit order effect a permanent feature of high shares of renewable energy, or merely a transitory phase? This article develops a simple theoretical model to shed light on this question. It introduces intermittent renewable energies into a conventional mix of base load and peak load and investigates the effect when base and peak load remain unchanged in the short-term, and when they fully adjust in the long-term. We find that the merit order effect is a temporary phenomenon that is caused by the slow pace of capacity adjustments. We also find that the introduction of renewables has a mild beneficial long-term effect when base load is provided monopolistically, as renewables compete with base load to a limited extent. Consequently, concerns about the adverse consequences for conventional power plants resulting from renewable capacity are only partially justified. While in the short-term the generation portfolio suffers from "stranded assets", market forces will gradually reduce overcapacity. We also confirm that renewable expansion can be complemented by energy-only markets to incentivize efficient investment in conventional capacity.}, language = {en} } @misc{RiepinMuesgens, author = {Riepin, Iegor and M{\"u}sgens, Felix}, title = {Seasonal flexibility in the European natural gas market}, series = {The Energy Journal}, volume = {43}, journal = {The Energy Journal}, number = {1}, issn = {1944-9089}, doi = {10.5547/01956574.43.1.irie}, pages = {117 -- 138}, abstract = {This paper focuses on seasonal demand swings in the European natural gas market. We quantify and compare the role of different flexibility options (domestic production, gas storage, and pipeline and LNG imports) to assess European demand fluctuations in monthly resolution. We contribute to the existing literature on seasonal flexibility by addressing the problem with a mathematical gas market optimization model. Our paper provides valuable empirical insights into the decline of gas production in northwestern Europe. Furthermore, we focus on how specific flexibility features differ between pipeline supplies and LNG supplies and between gas imports and storage dispatch. In terms of methodology, we construct a bottom-up market optimization model and publish the complete source code (which is uncommon for gas market models). Furthermore, we propose a new metric—the scaled coefficient of variation—to quantify the importance of supply sources for seasonal flexibility provision.}, language = {en} } @misc{NikodinoskaKaesoMuesgens, author = {Nikodinoska, Dragana and K{\"a}so, Mathias and M{\"u}sgens, Felix}, title = {Solar and wind power generation forecasts using elastic net in time-varying forecast combinations}, series = {Applied Energy}, volume = {306, Part A}, journal = {Applied Energy}, issn = {1872-9118}, doi = {10.1016/j.apenergy.2021.117983}, pages = {17}, abstract = {Precise renewable energy feed-in forecasts are essential for an effective and efficient integration of renewables into energy systems, and research contributions that help to reduce the uncertainty related to renewables are in high demand. This importance will increase in the future, as renewable energies are the world's fastest growing electricity generation capacities. Forecast combinations have been empirically proven to outperform individual forecasting models in many disciplines. Our work uses an elastic net method, with cross-validation and rolling window estimation, in the context of renewable energy forecasts. Namely, the forecast combinations are obtained using regional data from Germany for both solar photovoltaic and wind feed-in during the period 2010-2018, with quarter-hourly frequency. The dynamic elastic net estimation, preceded by dynamic data pre-processing, improves forecasting accuracy for both photovoltaic and wind power feed-in forecasts. Moreover, our forecasting framework outperforms benchmarks such as simple average and individual forecasts. Our forecasting framework can be applied widely to estimate renewable power in other countries, systems, or individual power plants.}, language = {en} } @misc{JansenBeiterRiepinetal., author = {Jansen, Malte and Beiter, Philipp and Riepin, Iegor and M{\"u}sgens, Felix and Guajardo-Fajardo, Victor Juarez and Staffell, Iain and Bulder, Bernard and Kitzing, Lena}, title = {Policy choices and outcomes for the competitive procurement of offshore wind energy globally}, series = {Energy Policy}, volume = {167}, journal = {Energy Policy}, issn = {0301-4215}, doi = {10.1016/j.enpol.2022.113000}, abstract = {Offshore wind energy is rapidly expanding, facilitated largely through auctions run by governments. We provide a detailed quantified overview of utilised auction schemes, including geographical spread, volumes, results, and design specifications. Our comprehensive global dataset reveals heterogeneous designs. Although most auction designs provide some form of revenue stabilisation, their specific instrument choices vary and include feed-in tariffs, one-sided and two-sided contracts for difference, mandated power purchase agreements, and mandated renewable energy certificates. We review the schemes used in all eight major offshore wind jurisdictions across Europe, Asia, and North America and evaluate bids in their jurisdictional context. We analyse cost competitiveness, likelihood of timely construction, occurrence of strategic bidding, and identify jurisdictional aspects that might have influenced auction results. We find that auctions are embedded within their respective regulatory and market design context, and are remarkably diverse, though with regional similarities. Auctions in each jurisdiction have evolved and tend to become more exposed to market price risks over time. Less mature markets are more prone to make use of lower-risk designs. Still, some form of revenue stabilisation is employed for all auctioned offshore wind energy farms analysed here, regardless of the specific policy choices. Our data confirm a coincidence of declining costs and growing diffusion of auction regimes.}, language = {en} } @misc{NguyenMuesgens, author = {Nguyen, Thi Ngoc and M{\"u}sgens, Felix}, title = {What drives the accuracy of PV output forecasts?}, series = {Applied Energy}, volume = {323}, journal = {Applied Energy}, issn = {1872-9118}, doi = {10.1016/j.apenergy.2022.119603}, abstract = {In this paper, 180 papers on photovoltaic (PV) output forecasting were reviewed and a database of forecast errors was extracted for statistical analysis. The paper shows that among the forecast models, hybrid models are most likely to become the primary form of PV output forecasting in the future. The use of data processing techniques is positively correlated with the forecast quality, while the lengths of the forecast horizons and out-of-sample test sets have negative effects on the forecast accuracy. The paper also found that the use of data normalization, the wavelet transform, and the inclusion of clear sky index and numerical weather prediction variables are the most effective data processing techniques. Furthermore, the paper found some evidence of "cherry picking" in the reporting of errors and we recommend that the test sets be at least one year long to avoid any distortion in the performance of the models.}, language = {en} } @misc{RiepinSchmidtBaringoetal., author = {Riepin, Iegor and Schmidt, Matthew and Baringo, Luis and M{\"u}sgens, Felix}, title = {Adaptive robust optimization for European strategic gas infrastructure planning}, series = {Applied Energy}, volume = {324}, journal = {Applied Energy}, issn = {1872-9118}, doi = {10.1016/j.apenergy.2022.119686}, abstract = {An adaptive robust optimization model for a gas transmission expansion problem. Analysis of Projects of Common Interests' value in maintaining gas system resilience. Endogenous realizations of cold-winter demand spikes and supply shortages. Publicly available source code for the entire project.}, language = {en} } @misc{JalboutGengeRiepinetal., author = {Jalbout, Eddy and Genge, Lucien and Riepin, Iegor and M{\"u}sgens, Felix}, title = {What do we know about green hydrogen supply costs?}, series = {18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia}, journal = {18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-6654-0896-7}, issn = {2165-4093}, doi = {10.1109/EEM54602.2022.9921127}, pages = {1 -- 7}, abstract = {This paper is set up to answer the question: What do we know about future hydrogen import costs on the European border? Our work focuses on breaking down, structuring and analysing the body of literature on hydrogen supply chains. We provide a comprehensive analysis on (i) What ranges of costs exist in the literature for specific steps of hydrogen supply chains? (ii) Which assumptions show the highest uncertainty? (iii) Related, what assumption seems to have the most substantial effect on the resulting EUR/kgH2 import cost estimate? While we narrow our discussion focus on North Africa and Australia to Europe in 2050, we hope policymakers, research fellows and energy-sector stakeholders around the globe might be interested in our results.}, language = {en} } @misc{BerneckerRiepinMuesgens, author = {Bernecker, Maximilian and Riepin, Iegor and M{\"u}sgens, Felix}, title = {Modeling of Extreme Weather Events—Towards Resilient Transmission Expansion Planning}, series = {18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia}, journal = {18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-6654-0896-7}, issn = {2165-4093}, doi = {10.1109/EEM54602.2022.9921145}, pages = {1 -- 7}, abstract = {In this paper, we endogenously compute worst-case weather events in a transmission system expansion planning problem using the robust optimization approach. Mathematically, we formulate a three-level mixed-integer optimization problem, which we convert to a bi-level problem via the strong duality concept. We solve the problem using a constraint-and-column generation algorithm. We use cardinality-constrained uncertainty sets to model the effects of extreme weather realizations on supply from renewable generators.}, language = {en} } @misc{NguyenMuesgens, author = {Nguyen, Thi Ngoc and M{\"u}sgens, Felix}, title = {A Meta-Analysis of Solar Forecasting Based on Skill Score}, series = {arXiv}, journal = {arXiv}, doi = {10.48550/arXiv.2208.10536}, pages = {1 -- 55}, abstract = {We conduct the first comprehensive meta-analysis of deterministic solar forecasting based on skill score, screening 1,447 papers from Google Scholar and reviewing the full texts of 320 papers for data extraction. A database of 4,687 points was built and analyzed with multivariate adaptive regression spline modelling, partial dependence plots, and linear regression. The marginal impacts on skill score of ten factors were quantified. The analysis shows the non-linearity and complex interaction between variables in the database. Forecast horizon has a central impact and dominates other factors' impacts. Therefore, the analysis of solar forecasts should be done separately for each horizon. Climate zone variables have statistically significant correlation with skill score. Regarding inputs, historical data and spatial temporal information are highly helpful. For intra-day, sky and satellite images show the most importance. For day-ahead, numerical weather predictions and locally measured meteorological data are very efficient. All forecast models were compared. Ensemble-hybrid models achieve the most accurate forecasts for all horizons. Hybrid models show superiority for intra-hour while image-based methods are the most efficient for intra-day forecasts. More training data can enhance skill score. However, over-fitting is observed when there is too much training data (longer than 2000 days). There has been a substantial improvement in solar forecast accuracy, especially in recent years. More improvement is observed for intra-hour and intra-day than day-ahead forecasts. By controlling for the key differences between forecasts, including location variables, our findings can be applied globally.}, language = {en} } @misc{JalboutGengeMuesgens, author = {Jalbout, Eddy and Genge, Lucien and M{\"u}sgens, Felix}, title = {H2Europe: an analysis of long-term hydrogen import-potentials from the MENA region}, series = {18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia}, journal = {18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-6654-0896-7}, issn = {2165-4093}, doi = {10.1109/EEM54602.2022.9921055}, pages = {1 -- 7}, abstract = {Our paper assesses the economic viability of green hydrogen exports from the middle east and north Africa to the EU in the long-term (for the year 2050). For this purpose, we simulate a techno-economic hydrogen supply chain based on generation from renewable energy sources. The chain of production, conversion, and transportation costs, in combination with potentials, yields a merit order of hydrogen supply. The paper focuses on one low-cost option for imports from the middle east and north Africa region. In addition, it provides a classification of additional options. We find that due to proximity, retrofitting and potentially even installing new pipelines from Morocco, Algeria and Tunisia could provide nearly half the expected European demand of 60 million tons p.a. by 2050. Based on our assumptions, the costs would be around 2 €/kgH 2 .}, language = {en} } @incollection{MuesgensRadke, author = {M{\"u}sgens, Felix and Radke, Silvian}, title = {Warmer Lichtsturm - Umgang mit Erzeugungsspitzen aus PV und Wind : Arbeitspaket 1}, series = {Warmer Lichtsturm - Umgang mit Erzeugungsspitzen aus PV und Wind}, volume = {2024}, booktitle = {Warmer Lichtsturm - Umgang mit Erzeugungsspitzen aus PV und Wind}, pages = {13 -- 30}, abstract = {{\"U}ber das Scientific Advisory \& Project Board Die vorliegende Kurzstudie wurde von einem Konsortium entwickelt, das sich aus Mitgliedern des 50Hertz Scientific Advisory and Project Boards (SAPB) zusammensetzt. Das SAPB ist ein Kreis von Professorinnen und Professoren, die 50Hertz darin unterst{\"u}tzen, neue Denk- und L{\"o}sungsans{\"a}tze zu entwickeln und Erkenntnisse aus der Forschung - wo angemessen - in die Praxis von 50Hertz zu {\"u}bernehmen. Disclaimer Im Kontext der durch 50Hertz beauftragten SAPB-Studien forschen die beteiligten Wissenschaftlerinnen und Wissenschaftler frei und ergebnisoffen. Alle durch das Konsortium entwickelten Handlungsempfehlungen werden von 50Hertz eingehend gepr{\"u}ft und diskutiert, letztendlich entsprechen aber nicht alle Positionen denen von 50Hertz.}, language = {de} } @misc{MuesgensGenge, author = {M{\"u}sgens, Felix and Genge, Lucien}, title = {European hydrogen infrastructure planning : insights from the TransHyDE project system analysis}, series = {Flagship Project TransHyDE}, volume = {2024}, journal = {Flagship Project TransHyDE}, pages = {67}, abstract = {The white paper was developed by a selected authorship of the TransHyDE Project System Analysis. The contents of the TransHyDE publications are produced in the project independently of the Federal Ministry of Education and Research.}, language = {en} } @book{MuesgensBade, author = {M{\"u}sgens, Felix and Bade, Alexander}, title = {Energy trading and risk management}, edition = {1. Auflage}, publisher = {Springer Link}, address = {Schweiz}, isbn = {978-3-031-57237-1}, doi = {10.1007/978-3-031-57238-8}, pages = {211}, abstract = {This book offers important insights into the intricacies of energy trading and risk management to students and professionals in the liberalized electricity and natural gas markets. In its opening chapter, the book delves into fundamental concepts, including price formation on wholesale markets. The various market places and trading products are presented, and the distinguishing characteristics of electricity and natural gas compared to other commodities are emphasised. Moving forward, the next chapter concentrates on portfolio management, offering insights into the trading process through the perspectives of various agents. It begins with proprietary traders and progresses to encompass the portfolio management activities of integrated companies responsible for both generation assets and a retail client base. The book then looks at risk management, explaining the diverse risks that impact the value of energy portfolios inthe market. It places emphasis on credit risk, price risk, quantity risk, and product liquidity risk as the most influential factors and presents effective practices for their management. Furthermore, readers will gain a comprehensive understanding of how to manage quantity risk and its interconnectedness with price risk. Additionally, the book addresses the measurement of product liquidity and its disparities across different energy market products. The book then looks at risk management, explaining the diverse risks that impact the value of energy portfolios inthe market. It places emphasis on credit risk, price risk, quantity risk, and product liquidity risk as the most influential factors and presents effective practices for their management. Furthermore, readers will gain a comprehensive understanding of how to manage quantity risk and its interconnectedness with price risk. Additionally, the book addresses the measurement of product liquidity and its disparities across different energy market products. In summary, this book is an accessible introduction and a concise reference for students and professionals across all fields of energy.}, language = {en} } @misc{BenAmorAkkalDeviMuesgens, author = {Ben Amor, Souhir and Akkal Devi, Prashanth and M{\"u}sgens, Felix}, title = {Meta-forecasting for solar power generation: algorithm-based swarm intelligence}, series = {20th International Conference on the European Energy Market (EEM)}, journal = {20th International Conference on the European Energy Market (EEM)}, publisher = {IEEE}, issn = {2165-4093}, doi = {10.1109/EEM60825.2024.10608959}, pages = {5}, abstract = {Our paper introduces a dynamic meta-forecasting approach that optimizes the weights of several available forecasts using a swarm intelligence algorithm, named Particle Swarm Optimization. This algorithm was chosen for its efficiency and convergence performance in solving optimization problems. We apply the methodology to solar photovoltaic day-ahead forecasts utilizing regional data from Germany. Our sample covers the period between 2019 and 2022 at a quarter-hourly frequency. We provide day-ahead forecasts using a rolling estimation window. Alongside benchmark models, Particle Swarm Optimization predictive accuracy is comparable to state-of-the-art models, particularly a dynamic elastic net benchmark model. However, there are slight differences. The investor can choose between Particle Swarm Optimization for its simple implementation and computational efficiency, or dynamic elastic net models for its parameters explainability.}, language = {en} } @misc{GrueblerMuesgens, author = {Gr{\"u}bler, Lene Marie and M{\"u}sgens, Felix}, title = {Applying spatial decomposition in energy system models}, series = {20th International Conference on the European Energy Market (EEM)}, volume = {2024}, journal = {20th International Conference on the European Energy Market (EEM)}, issn = {2165-4093}, doi = {10.1109/EEM60825.2024.10608869}, pages = {8}, abstract = {The European energy transition requires the expansion of renewable generators and consequently, the expansion of grid infrastructure and flexibility options. When modelling complex energy systems, the application of decomposition techniques is reasonable to keep models computationally tractable. Our paper focuses on the efficient optimization of energy systems covering large geographic areas. To accelerate the solving process, we apply a variant of Benders decomposition, which does not only apply temporal but also spatial decomposition. We show that by applying our decomposition approach, the solving time decreases up to 75\% compared to the runtime of the equivalent monolithic model solved by a commercial solver and the barrier algorithm. Furthermore, we show that additionally applying spatial decomposition results in time savings compared to an only temporally decomposed approach.}, language = {en} } @misc{BenAmorMoebiusMuesgens, author = {Ben Amor, Souhir and M{\"o}bius, Thonas and M{\"u}sgens, Felix}, title = {Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting}, series = {General Economics (econ.GN)}, volume = {2024}, journal = {General Economics (econ.GN)}, doi = {10.48550/arXiv.2411.04880}, pages = {1 -- 49}, abstract = {This paper combines a techno-economic energy system model with an econometric model to maximise electricity price forecasting accuracy. The proposed combination model is tested on the German day-ahead wholesale electricity market. Our paper also benchmarks the results against several econometric alternatives. Lastly, we demonstrate the economic value of improved price estimators maximising the revenue from an electric storage resource. The results demonstrate that our integrated model improves overall forecasting accuracy by 18 \%, compared to available literature benchmarks. Furthermore, our robustness checks reveal that a) the Ensemble Deep Neural Network model performs best in our dataset and b) adding output from the techno-economic energy systems model as econometric model input improves the performance of all econometric models. The empirical relevance of the forecast improvement is confirmed by the results of the exemplary storage optimisation, in which the integration of the techno-economic energy syst}, language = {en} } @misc{SgarciuMuesgensOsorioetal., author = {Sgarciu, Smaranda and M{\"u}sgens, Felix and Osorio, Sebastian and Pahle, Michael}, title = {Is Germany on track to achieve 2030 climate and energy targets?}, series = {List Forum f{\"u}r Wirtschafts- und Finanzpolitik}, volume = {49}, journal = {List Forum f{\"u}r Wirtschafts- und Finanzpolitik}, issn = {2364-3943}, doi = {10.1007/s41025-023-00255-0}, pages = {93 -- 107}, abstract = {The future development of CO2emissions in the German electricity sector by 2030 is unclear: On the one hand, the amendment to the Climate Protection Act (from August 2021) aims to tighten emission reduction targets in order to promote the path to a decarbonised energy system. On the other hand, the complex interplay between the main instruments for reducing carbon emissions, fuel prices and the current energy shortage as a result of Russia's attack on Ukraine is creating pressure for an increase in emissions. In our study, we examine whether Germany is on track to achieve its climate protection targets for 2030 and which measures can increase the likelihood. To do this, we use an energy system model parameterized to reflect the situation in the energy market in 2021, i.e. before Russia's attack on Ukraine. In addition to the quantitative side, we provide a qualitative analysis of the energy market in the light of recent events. We stress the importance of introducing a carbon price floor that can be dynamically changed in response to the development of other market forces and policies. This instrument would institutionalize a more plausible path to decarbonization and provide reassurance to investors.}, language = {en} } @misc{HoffmannByrukuriGangadharMuesgens, author = {Hoffmann, Christin and Byrukuri Gangadhar, Shanmukha Srinivas and M{\"u}sgens, Felix}, title = {Smells Like Green Energy - Quasi-Experimental Evidence on the Impact of Bioenergy Production on Residential Property Values}, series = {SSRN eLibrary}, journal = {SSRN eLibrary}, issn = {1556-5068}, doi = {10.2139/ssrn.4760312}, pages = {1 -- 26}, abstract = {Residents' acceptance of bioenergy is a prerequisite for its fast and efficient development but is ambiguously discussed in practice and research. We interpret a causal impact of bioenergy plant commissioning on housing prices in their vicinity as the average net external effects for residents. We utilize bioenergy plant construction data in Germany between 2007 and 2022 as a quasi-experiment with naturally occurring control groups in their vicinity and apply recently improved difference-in-difference estimation procedures to analyze instantaneous and heterogeneous treatment effects. We find a significant and negative impact on housing prices if plants use gaseous biofuel, generate electricity on-site, and are medium-sized. The magnitude of the effect is comparable to those for solar fields. In contrast, we find no impact for small and large bioenergy plants and those that use solid or liquid biofuels.}, language = {en} } @misc{SgarciuScholzMuesgens, author = {Sgarciu, Smaranda and Scholz, Daniel and M{\"u}sgens, Felix}, title = {How CO2 prices accelerate decarbonisation - The case of coal-fired generation in Germany}, series = {Energy Policy}, volume = {173}, journal = {Energy Policy}, issn = {0301-4215}, doi = {10.1016/j.enpol.2022.113375}, abstract = {This paper analyses the potential impact of the world's two main coal phase-out instruments: 1) direct regulatory intervention restricting the operation of existing coal-fired generation capacity and prohibiting investment in new capacity and 2) market-based CO2-pricing instruments that make emission-intensive coal-fired generation less competitive. We quantify these instruments' potential effects in the empirical setting of Germany, where both instruments are employed concurrently. However, this paper's approach and methodology can be applied in any jurisdiction or energy system worldwide. Our paper provides quantitative results with a pan-European partial-equilibrium electricity system model. The model applies an innovative three-step approach. Step 1 solves an investment and dispatch problem with reduced technical and temporal complexity for European countries. Step 2 computes the dispatch problem at a bihourly resolution and step 3 solves the investment and dispatch problem for Germany with increased technical complexity. Our results confirm that both a regulated phase-out as well as a price on CO2 emissions can reduce the amount of coal-fired generation in an electricity system. If CO2 prices remain at current levels, coal-fired power plants leave the market significantly before the regulated phase-out date, reducing demand for employees in the Lusatian lignite industry. Regions and federal governments should take this finding into account when planning and preparing for structural change.}, language = {en} } @misc{GengeSchellerMuesgens, author = {Genge, Lucien and Scheller, Fabian and M{\"u}sgens, Felix}, title = {Supply costs of green chemical energy carriers at the European border: A meta-analysis}, series = {International Journal of Hydrogen Energy}, volume = {48}, journal = {International Journal of Hydrogen Energy}, number = {98}, issn = {0360-3199}, doi = {10.1016/j.ijhydene.2023.06.180}, pages = {38766 -- 38781}, abstract = {Importing green chemical energy carriers is crucial for meeting European climate targets. However, estimating the costs of supplying these energy carriers to Europe remains challenging, leading to a wide range of reported supply-cost estimates. This study analyzes the estimated supply costs of green chemical energy carriers at the European border using a dataset of 1050 data points from 30 studies. The results reveal significant variations in supply costs, with a projected four-fold difference in 2030 and a five-fold difference in 2050 across all energy carriers. The main drivers of cost differences are varying production costs, particularly influenced by the weighted average costs of capital and capital expenditures of renewable energy sources, electrolyzers, and carrier-specific conversion processes. Transport costs also contribute to variations, mainly influenced by the choice of energy carrier and the weighted average costs of capital. To optimize cost-efficiency and sustainability in the chemical energy carrier sector, this paper recommends prioritizing transparency and sensitivity analyses of key input parameters, classifying energy carriers based on technological and economic status, and encouraging research and development to reduce production costs.}, language = {en} } @misc{WatermeyerMoebiusGrotheetal., author = {Watermeyer, Mira and M{\"o}bius, Thomas and Grothe, Oliver and M{\"u}sgens, Felix}, title = {A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling}, series = {arXiv}, journal = {arXiv}, doi = {10.48550/arXiv.2304.09336}, pages = {1 -- 38}, abstract = {The accurate prediction of short-term electricity prices is vital for effective trading strategies, power plant scheduling, profit maximisation and efficient system operation. However, uncertainties in supply and demand make such predictions challenging. We propose a hybrid model that combines a techno-economic energy system model with stochastic models to address this challenge. The techno-economic model in our hybrid approach provides a deep understanding of the market. It captures the underlying factors and their impacts on electricity prices, which is impossible with statistical models alone. The statistical models incorporate non-techno-economic aspects, such as the expectations and speculative behaviour of market participants, through the interpretation of prices. The hybrid model generates both conventional point predictions and probabilistic forecasts, providing a comprehensive understanding of the market landscape. Probabilistic forecasts are particularly valuable because they account for market uncertainty, facilitating informed decision-making and risk management. Our model delivers state-of-the-art results, helping market participants to make informed decisions and operate their systems more efficiently.}, language = {en} } @misc{MoebiusWatermeyerGrotheetal., author = {M{\"o}bius, Thomas and Watermeyer, Mira and Grothe, Oliver and M{\"u}sgens, Felix}, title = {Enhancing energy system models using better load forecasts}, series = {Energy Systems}, journal = {Energy Systems}, issn = {1868-3975}, doi = {10.1007/s12667-023-00590-3}, pages = {1 -- 30}, abstract = {Since energy system models require a large amount of technical and economic data, their quality significantly affects the reliability of the results. However, some publicly available data sets, such as the transmission system operators' day-ahead load forecasts, are known to be biased and inaccurate, leading to lower energy system model performance. We propose a time series model that enhances the accuracy of transmission system operators' load forecast data in real-time, using only the load forecast error's history as input. We further present an energy system model developed specifically for price forecasts of the short-term day-ahead market. We demonstrate the effectiveness of the improved load data as input by applying it to this model, which shows a strong reduction in pricing errors, particularly during periods of high prices and tight markets. Our results highlight the potential of our method the enhance the accuracy of energy system models using improved input data.}, language = {en} } @misc{BatzLineiroMuesgens, author = {Batz Li{\~n}eiro, Taimyra and M{\"u}sgens, Felix}, title = {Evaluating the German onshore wind auction programme: An analysis based on individual bids}, series = {Energy Policy}, volume = {172}, journal = {Energy Policy}, issn = {1873-6777}, doi = {10.1016/j.enpol.2022.113317}, abstract = {Auctions are a highly demanded policy instrument for the promotion of renewable energy sources. Their flexible structure makes them adaptable to country-specific conditions and needs. However, their success depends greatly on how those needs are operationalised in the design elements. Disaggregating data from the German onshore wind auction programme into individual projects, we evaluated the contribution of auctions to the achievement of their primary (deployment at competitive prices) and secondary (diversity) objectives and have highlighted design elements that affect the policy's success or failure. We have shown that, in the German case, the auction scheme is unable to promote wind deployment at competitive prices, and that the design elements used to promote the secondary objectives not only fall short at achieving their intended goals, but create incentives for large actors to game the system.}, language = {en} } @misc{MoebiusRiepinMuesgensetal., author = {M{\"o}bius, Thomas and Riepin, Iegor and M{\"u}sgens, Felix and van der Weijde, Adriaan H.}, title = {Risk aversion and flexibility options in electricity markets}, series = {Energy Economics}, volume = {126}, journal = {Energy Economics}, issn = {0140-9883}, abstract = {Investments in electricity transmission and generation capacity must be made despite significant uncertainty about the future developments. The sources of this uncertainty include, among others, the future levels and spatiotemporal distribution of electricity demand, fuel costs and future energy policy. In recent years, these uncertainties have increased due to the ongoing evolution of supply- and demand-side technologies and rapid policy changes designed to encourage a transition to low-carbon energy systems. Because transmission and generation investments have long lead times and are difficult to reverse, they are subject to a considerable - and arguably growing - amount of risk.}, language = {en} } @misc{HoffmannZiemannPenskeetal., author = {Hoffmann, Christin and Ziemann, Niklas and Penske, Franziska and M{\"u}sgens, Felix}, title = {The value of secure electricity supply for increasing acceptance of green hydrogen - First experimental evidence from the virtual reality lab}, series = {19th International Conference on the European Energy Market (EEM), 06-08 June 2023, Lappeenranta, Finland}, journal = {19th International Conference on the European Energy Market (EEM), 06-08 June 2023, Lappeenranta, Finland}, isbn = {979-8-3503-1258-4}, issn = {2165-4093}, doi = {10.1109/EEM58374.2023.10161844}, pages = {9}, abstract = {To unlock the high potential of green hydrogen in reaching the ambitious 1.5 °C goal declared by the Paris Agreement, enormous (public) investments are needed. Social acceptance of these investments is required in order to implement hydrogen technologies as fast and efficiently as possible. This study investigates which benefits associated with green hydrogen foster its social acceptance. Using a between-subject design, we implement two different treatments. Both treatments have in common that the participants experience the transformation into a hydrogen economy in a virtual reality scenario. In "Info Security of Supply", we provide the participants information about the benefits of green hydrogen regarding the security of energy supply and climate protection. In Control, we inform them only about the benefits of climate protection. Subsequently, the participants decide about the financial support of a hydrogen project. Our preliminary results show a higher support if the focus is solely on the positive impact of green hydrogen for climate protection.}, language = {en} } @misc{RiepinSgarciuBerneckeretal., author = {Riepin, Iegor and Sgarciu, Smaranda and Bernecker, Maximilian and M{\"o}bius, Thomas and M{\"u}sgens, Felix}, title = {Grok It and Use It: Teaching Energy Systems Modeling}, series = {SSRN eLibrary}, journal = {SSRN eLibrary}, issn = {1556-5068}, doi = {10.2139/ssrn.4320978}, abstract = {This article details our experience developing and teaching an "Energy Systems Modeling" course, which sought to introduce graduate-level students to operations research, energy economics, and system modeling using the General Algebraic Modeling System (GAMS). In this paper, we focus on (i) the mathematical problems discussed in the course, (ii) the energy-related empirical interpretations of these mathematical problems, and (iii) the best teaching practices (i.e., our experiences regarding how to make the content interesting and accessible for students).}, language = {en} } @misc{HoffmannByrukuriGangadharMuesgens, author = {Hoffmann, Christin and Byrukuri Gangadhar, Shanmukha Srinivas and M{\"u}sgens, Felix}, title = {Smells like green energy the impact of bioenergy production on residential property values in Germany}, series = {Science Direkt}, volume = {145}, journal = {Science Direkt}, publisher = {Elsevier B.V.}, address = {Amsterdam}, doi = {10.1016/j.eneco.2025.108404}, pages = {1 -- 16}, abstract = {One requirement for the fast and efficient development of bioenergy is a clear understanding of the negative externalities bioenergy facilities cause. At this point, discussions in practice and research as to which externalities have an impact and how strong this potential impact actually is remain inconclusive. We utilize bioenergy plant construction data from Germany between 2007 and 2022 and match it with information about real estate in the plants' vicinity. Applying improved difference-in-difference estimation procedures to analyze heterogeneous treatment effects, we interpret a causal impact of bioenergy plant commissioning on housing prices in the vicinity in terms of the average net external effects affecting the vicinity. Overall, we find a minor negative impact of -0,5 \% on home prices within 1 km of bioenergy plants but no statistically significant effect beyond this distance. This suggests that visual pollution has a limited role as an externality of bioenergy plants. However, if we restrict the sample to homes downwind of bioenergy plants, we find a significant yet small negative impact on home prices, ranging from -1,0 \% to - 1,3 \%. Additionally, homes near bioenergy plants that use gaseous inputs - which emit stronger odors - experience price reductions between -0,4 \% to -0,7 \%. This lets us conclude that, besides visual pollution, odor emission may play a more significant role in affecting nearby home prices.}, language = {en} } @misc{HoffmannJalboutVillanuevaetal., author = {Hoffmann, Christin and Jalbout, Eddy and Villanueva, Monica and Batz Li{\~n}eiro, Taimyra and M{\"u}sgens, Felix}, title = {Positive and Negative Externalities from Renewable and Conventional Power Plants in the Backyard: The Value of Participation}, series = {SSRN eLibrary}, journal = {SSRN eLibrary}, issn = {1556-5068}, doi = {10.2139/ssrn.4203184}, pages = {1 -- 33}, abstract = {We quantify the net external effects of conventional and renewable electricity generators by analyzing housing prices in their vicinity. Using a Differences-in-Differences approach, we find that (1) wind turbines reduce prices significantly, (2) solar fields have no significant impact, and (3) conventional plants over 1 km away show positive net effects. We set out to explain this result by disentangling the positive local external effects of energy generation, which we measure in terms of local purchasing power and tax revenues. Our results show that the commissioning of conventional power stations results in a significant increase in both purchasing power and business tax income in the vicinity. We thus conclude that significant financial participation of the local public in the development of renewable energy projects, especially wind turbines, could be key to increasing their acceptance and accelerating their expansion.}, language = {en} } @misc{BerneckerGebhardtBenAmoretal., author = {Bernecker, Maximilian and Gebhardt, Marc and Ben Amor, Souhir and Wolter, Martin and M{\"u}sgens, Felix}, title = {Quantifying the impact of load forecasting accuracy on congestion management in distribution grids}, series = {International journal of electrical power \& energy systems}, volume = {168}, journal = {International journal of electrical power \& energy systems}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0142-0615}, doi = {10.1016/j.ijepes.2025.110713}, pages = {1 -- 27}, abstract = {Digitalization is a global trend in energy systems and beyond. However, it is often unclear what digitalization means exactly in the context of energy systems and how the benefits of digitalization can be quantified. Providing additional information, e.g., through sensors and metering equipment, is one concrete angle where digitalization contributes. This paper provides a framework to quantify the value of such additional information in distribution grids. We analyze to what extent smart meters improve the accuracy of day-ahead load forecasts and quantify the savings in congestion management costs resulting from the improved accuracy. To quantify the cost reduction, we conduct a case study employing a simplified IEEE test system. Historical electricity load data from over 6,000 smart meters was used to improve day-ahead load forecasts. We assessed and compared the forecasting performance to estimates based on standard load profiles with multiple load forecast simulations in the network based on uncertainty parameterizations from forecasts with and without smart meter data. Calculating redispatch cost in the distribution grid, we find that the forecast based on smart meter data reduces key redispatch parameters such as the share of expected voltage violations, the amount of rescheduled generation by more than 90\%. These improvements translate into a reduction in congestion management costs by around 97\%. Furthermore, we shed light on whether the gains increase linearly with the number of smart meters and available data in the grid. When smart meter shares are increased uniformly throughout the grid, savings are concave, i.e., the first 10\% of smart meters reduces congestion management costs by around 20\% while the last 10\% reduces these costs only marginally. Focusing smart meter installation on the most congested nodes reduces congestion management costs by around 60\% with just 10\% smart meter coverage, significantly outperforming a uniform rollout. However, savings in congestion management alone are not likely to recover the installation and operation costs of the installed smart meter.}, language = {en} }