TY - CHAP A1 - Käso, Mathias A1 - Müsgens, Felix A1 - Grothe, Oliver T1 - Dynamic Forecast Combinations of Improved Individual Forecasts for the Prediction of Wind Energy T2 - IEEE Conference Proceedings EEM 2016 N2 - 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. Y1 - 2016 UR - http://ieeexplore.ieee.org/document/7521228/ SN - 978-1-5090-1298-5 U6 - https://doi.org/10.1109/EEM.2016.7521228 PB - IEEE CY - Piscataway, NJ ER - TY - RPRT A1 - Müsgens, Felix A1 - Käso, Mathias T1 - Auktionsdesign für Photovoltaikanlagen auf Freiflächen KW - optimales Auktionsdesign KW - Erneuerbare Energien Y1 - 2014 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/Gutachten_Auktionsdesign_BTU_r2b_2014.pdf PB - r2b energy consulting GmbH [u.a.] CY - Köln ; Cottbus ER - TY - RPRT A1 - Bade, Alexander A1 - Käso, Mathias A1 - Lienert, Martin A1 - Müsgens, Felix A1 - Schmitz, Christoph A1 - Wissen, Ralf T1 - Ausgestaltung eines Auktionsmodells für EE-Anlagen in Deutschland KW - optimales Auktionsdesign KW - Erneuerbare Energien Y1 - 2015 UR - https://www.b-tu.de/fg-energiewirtschaft/publikationen/publikationsliste UR - https://www.r2b-energy.com/uploads/media/20151001_r2b_BTU_Auktionsdesign_EE_01.pdf PB - r2b energy consulting GmbH [u.a.] CY - Köln ; Cottbus ER - TY - RPRT A1 - Müsgens, Felix A1 - Riepin, Iegor A1 - Poudineh, Rahmat T1 - A Note on Climate Policy Negotiations at the Threshold of COP-21 in Paris KW - climate change KW - global warming KW - carbon price KW - cap-and-trade Y1 - 2015 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/A_Note_on_Climate_Policy_Negotiations.pdf ER - TY - GEN A1 - Bade, Alexander A1 - Müsgens, Felix T1 - Verteilungsaspekte einer Harmonisierung der europäischen Klimaschutzmaßnahmen T2 - Zeitschrift für Energiewirtschaft Y1 - 2016 U6 - https://doi.org/10.1007/s12398-016-0170-y SN - 0343-5377 SN - 1866-2765 VL - 40 IS - 1 SP - 33 EP - 40 ER - TY - GEN A1 - Bade, Alexander A1 - Müsgens, Felix T1 - Auswirkungen eines ‘Wassertiefenbonus’ bei Ausschreibungen für Windenergieanlagen auf See T2 - ET Energiewirtschaftliche Tagesfragen Y1 - 2016 SN - 0013-743X SN - 0720-6240 VL - 66 IS - 10 SP - 25 EP - 27 ER - TY - CHAP A1 - Müsgens, Felix T1 - Roads to Transition in German Energy Policy T2 - The road to Paris & multi-level carbon pricing: Getting the incentives right at the global, European & national level Y1 - 2015 UR - http://www.r2b-energy.com/uploads/media/Workshop_Report_Multi-level_Carbon_Pricing.pdf SP - 46 EP - 57 PB - Potsdam-Institut für Klimafolgenforschung CY - Potsdam, Cottbus ER - TY - RPRT A1 - Bade, Alexander A1 - Müsgens, Felix T1 - Warum brauchen wir eine stärkere Harmonisierung der Energiepolitik in der EU? Y1 - 2014 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/20141022_Thesenpapier_EU_Harmonisierung.pdf PB - r2b energy consulting GmbH [u.a.] CY - Köln ; Cottbus ER - TY - RPRT A1 - Bade, Alexander A1 - Growitsch, Christian A1 - Lienert, Martin A1 - Müsgens, Felix A1 - Schmitz, Christoph A1 - Wolf, A. T1 - Aktionsprogramm Klimaschutz 2020: Konsequenzen potenzieller Kraftwerksstilllegungen Y1 - 2014 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/2014_11_19_r2b_HWWI_Gutachten_BDI_Klimaschutz.pdf PB - r2b energy consulting GmbH [u.a.] CY - Köln ; Hamburg ; Cottbus ER - TY - CHAP A1 - Scholz, Daniel A1 - Müsgens, Felix T1 - How to improve standard load profiles: Updating, regionalization and smart meter data T2 - 14th International Conference on the European Energy Market (EEM), Dresden Germany, 6-9 June 2017 Y1 - 2017 SN - 978-1-5090-5499-2 U6 - https://doi.org/10.1109/EEM.2017.7981939 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Möbius, Thomas A1 - Müsgens, Felix T1 - Electricity Market Equilibria and Intermittent Renewables – A Stochastic Approach T2 - 14th International Conference on the European Energy Market (EEM), Dresden Germany, 6-9 June 2017 Y1 - 2017 SN - 978-1-5090-5499-2 U6 - https://doi.org/10.1109/EEM.2017.7981988 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Kreuz, Sebastian A1 - Müsgens, Felix T1 - The German Energiewende and its Roll-Out of Renewable Energies: An Economic Perspective T2 - Frontiers in Energy KW - Energiewende KW - Renewable Energies Y1 - 2017 U6 - https://doi.org/10.1007/s11708-017-0467-5 SN - 2095-1698 VL - 11 IS - 2 SP - 126 EP - 134 ER - TY - GEN A1 - Müsgens, Felix A1 - Seeliger, Andreas T1 - Der Shale Gas-Boom in den USA und die ökonomischen Auswirkungen auf Deutschland T2 - ifo Schnelldienst Y1 - 2013 SN - 0018-974X VL - 66 IS - 24 SP - 3 EP - 5 ER - TY - CHAP A1 - Kreuz, Sebastian A1 - Müsgens, Felix ED - Hipp, Christiane ED - Kaelber, Claus ED - Müller, Jens T1 - Energiewirtschaft – Veränderung und Wandel T2 - Kommunikation erneuerbarer Energieversorgung KW - Energiewende Y1 - 2014 UR - https://www.hs-augsburg.de/~jmueller/e-transform/downloads/booklet1.pdf SP - 30 EP - 37 PB - e-transform CY - Augsburg ER - TY - CHAP A1 - Müsgens, Felix A1 - Seeliger, Andreas T1 - Unkonventionelle Erdgasvorkommen und ihre Auswirkungen auf Europa T2 - Energie für Deutschland 2013 : Fakten, Perspektiven und Positionen im globalen Kontext KW - Fracking Y1 - 2013 UR - www.weltenergierat.de/wp-content/uploads/2014/06/30739_DNK_Energie_final_150dpi.pdf SP - 7 EP - 31 PB - Weltenergierat – Deutschland e.V. CY - Berlin ER - TY - RPRT A1 - Lenzen, V. A1 - Lienert, Martin A1 - Müsgens, Felix T1 - Effizientes Regime für den Ausbau der EE, Weiterentwicklung des Energy-Only-Marktes und Erhaltung des EU-ETS Y1 - 2013 PB - Frontier Economics [u.a.] CY - Brussels [u.a.] ER - TY - GEN A1 - Müsgens, Felix T1 - Ökonomische Besonderheiten des Energiemarktes T2 - EnWZ : Zeitschrift für das gesamte Recht der Energiewirtschaft KW - Energiewirtschaft Y1 - 2017 SN - 2195-2841 VL - 6 IS - 7 SP - 243 EP - 247 ER - TY - GEN A1 - Müsgens, Felix T1 - Equilibrium prices and investment in electricity systems with CO₂-emission trading and high shares of renewable energies T2 - Energy Economics Y1 - 2020 U6 - https://doi.org/10.1016/j.eneco.2018.07.028 SN - 0140-9883 VL - 86 ER - TY - CHAP A1 - Kreuzberg, Martin A1 - Müsgens, Felix T1 - Der Einfluss der Speicherkraftwerke in der Alpenregion auf die Strompreise in Deutschland - Eine modellgestützte Analyse T2 - 2. Internationale Energiewirtschaftstagung, IEWT 2001, 21. bis 23. Februar 2001, Wien Y1 - 2001 PB - Institut für Elektrische Anlagen und Energiewirtschaft CY - Wien ER - TY - RPRT A1 - Kreuz, Sebastian A1 - Müsgens, Felix A1 - Wissen, Ralf T1 - Abschätzung von Förderkosten der Bestandsanlagen erneuerbarer Energien bis zum Jahr 2030 Y1 - 2014 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/EEG-Differenzkosten_Working_Paper_final.pdf PB - Brandenburgische Technische Universität CY - Cottbus ; Senftenberg ER - TY - RPRT A1 - Müsgens, Felix A1 - Neuhoff, Karsten T1 - Modelling Dynamic Constraints in Electricity Markets and the Costs of Uncertain Wind Output Y1 - 2006 UR - https://www.eprg.group.cam.ac.uk/wp-content/uploads/2014/01/eprg0514.pdf PB - University of Cambridge, Electricity Policy Research Group CY - Cambridge ER - TY - RPRT A1 - Müsgens, Felix T1 - Sektorziele verteuern den Klimaschutz und behindern die Sektorenkopplung KW - Energiewennde KW - Emissionshandel KW - Sektorziele Y1 - 2018 UR - https://energiesysteme-zukunft.de/themen/debatte/sektorziele/ N1 - ESYS-Debattenbeitrag zum Thema: Helfen Sektorziele, den Klimaschutz effizient voranzutreiben? PB - acatech – Deutsche Akademie der Technikwissenschaften CY - Berlin ER - TY - CHAP A1 - Riepin, Iegor A1 - Möbius, Thomas A1 - Müsgens, Felix T1 - Integrated Electricity and Gas Market Modeling – Effects of Gas Demand Uncertainty T2 - 15th International Conference on the European Energy Market (EEM), 27-29 June 2018, Lodz, Poland N2 - 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. KW - electricity market KW - integrated energy system modeling KW - natural gas market KW - stochastic modeling Y1 - 2018 UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469790 SN - 978-1-5386-1488-4 U6 - https://doi.org/10.1109/EEM.2018.8469790 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Müsgens, Felix A1 - Riepin, Iegor T1 - Is Offshore Already Competitive? Analyzing German Offshore Wind Auctions T2 - 15th International Conference on the European Energy Market (EEM), 27-29 June 2018, Lodz, Poland N2 - 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. KW - renewable energy auction KW - offshore wind Y1 - 2018 UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469851 SN - 978-1-5386-1488-4 U6 - https://doi.org/10.1109/EEM.2018.8469851 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Kreuz, Sebastian A1 - Müsgens, Felix T1 - Measuring the cost of renewable energy in Germany T2 - The Electricity Journal N2 - 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. KW - energy modelling KW - electricity system KW - renewable energy KW - cost-benefit analysis Y1 - 2018 UR - https://doi.org/10.1016/j.tej.2018.04.002 SN - 1040-6190 VL - 31 IS - 4 SP - 29 EP - 33 ER - TY - GEN A1 - Engelhorn, Thorsten A1 - Müsgens, Felix T1 - How to estimate wind-turbine infeed with incomplete stock data: A general framework with an application to turbine-specific market values in Germany T2 - Energy Economics N2 - 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. KW - renewable energy sources KW - wind energy KW - bottom-up modeling KW - cost minimization KW - market value KW - power curves Y1 - 2018 UR - https://doi.org/10.1016/j.eneco.2018.04.022 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/WP_Engelhorn_Muesgens_2017.pdf UR - https://www.youtube.com/watch?v=tX4x3kUQBlk&t=15s SN - 0140-9883 VL - 72 SP - 542 EP - 557 ER - TY - RPRT A1 - Kreuz, Sebastian A1 - Müsgens, Felix T1 - Asymmetric Diesel Retail Pricing Strategies: Depending on Brands and Population Densities? N2 - 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. KW - diesel price KW - error correc tion model KW - oil price KW - reta il fuel KW - rockets and feathers KW - spatial analysis Y1 - 2018 UR - https://www-docs.b-tu.de/fg-energiewirtschaft/public/Veroeffentlichungen/WorkingPaper/2018(1)_Working-Paper_Asymmetric%20Diesel%20Retail%20Pricing%20Strategies_12_2018.pdf PB - Brandenburgische Technische Universität CY - Cottbus ; Senftenberg ER - TY - GEN A1 - Kreuz, Sebastian A1 - Müsgens, Felix T1 - Asymmetric Diesel Retail Pricing Strategies: Depending on Brands and Population Densities? T2 - Zeitschrift für Energiewirtschaft KW - Diesel price KW - Error correction model KW - Oil price KW - Retail fuel KW - Rockets and feathers KW - Spatial analysis Y1 - 2019 U6 - https://doi.org/10.1007/s12398-019-00252-x SN - 0343-5377 SN - 1866-2765 VL - 43 IS - 2 SP - 117 EP - 130 ER - TY - RPRT A1 - Riepin, Iegor A1 - Müsgens, Felix T1 - Seasonal Flexibility in the European Natural Gas Market KW - European gas market KW - market modelling KW - seasonality Y1 - 2019 UR - https://www.eprg.group.cam.ac.uk/eprg-working-paper-1931/ PB - University of Cambridge, Energy Policy Research Group CY - Cambridge ER - TY - RPRT A1 - Engelhorn, Thorsten A1 - Müsgens, Felix T1 - Why is Germany’s energy transition so expensive? Quantifying costs from wind energy decentralisation KW - costs from wind energy KW - germany’s energy transition KW - wind power KW - energy policy KW - support scheme KW - market design KW - cost minimisation KW - efficiency Y1 - 2019 UR - https://www.b-tu.de/fg-energiewirtschaft/publikationen/publikationsliste PB - Brandenburgische Technische Universität CY - Cottbus ; Senftenberg ER - TY - RPRT A1 - Müsgens, Felix A1 - Kreuz, Sebastian T1 - Über eine CO2-Bepreisung zur Sektorenkopplung: Ein neues Marktdesign für die Energiewende N2 - Dieser Impuls stellt Zwischenergebnisse der ESYS Arbeitsgruppe „Strommarktdesign“ vor. Ein Schwerpunkt der Arbeitsgruppe ist ein verbessertes Marktdesign für 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 ausführlichen Studie veröffentlicht, die auch weitere Aspekte des Strommarktdesigns umfasst. KW - Energiesysteme der Zukunft KW - Energiewende KW - CO2-Bepreisung Y1 - 2019 UR - https://www.b-tu.de/fg-energiewirtschaft/publikationen/publikationsliste ER - TY - GEN A1 - Scholz, Daniel A1 - Zundel, Stefan A1 - Müsgens, Felix T1 - Price and Employment Effects triggered by a German Coal Phase-Out – A Discourse Analysis T2 - 16th International Conference on the European Energy Market (EEM) KW - Policy Brief zu Strompreis- und Arbeitsplatzeffekten eines Kohleausstiegs KW - Kohleausstieg KW - Strompreis KW - Arbeitsplatzeffekt Y1 - 2019 SN - 978-1-7281-1257-2 SN - 978-1-7281-1258-9 U6 - https://doi.org/10.1109/EEM.2019.8916478 SN - 2165-4093 SN - 2165-4077 PB - IEEE ER - TY - GEN A1 - Batz Liñeiro, Taimyra A1 - Müsgens, Felix T1 - A first analysis of the photovoltaic auction program in Germany T2 - 16th International Conference on the European Energy Market (EEM) KW - photovoltaic auction program KW - Auction KW - Competition KW - Germany KW - Photovoltaics KW - Project completion KW - Renewable energy Y1 - 2019 SN - 978-1-7281-1257-2 SN - 978-1-7281-1256-5 U6 - https://doi.org/10.1109/EEM.2019.8916472 SN - 2165-4093 SN - 2165-4077 ER - TY - GEN A1 - Jansen, Malte A1 - Staffell, Iain A1 - Kitzing, Lena A1 - Quoilin, Sylvain A1 - Wiggelinkhuizen, Edwin A1 - Bulder, Bernard A1 - Riepin, Iegor A1 - Müsgens, Felix T1 - Offshore wind competitiveness in mature markets without subsidy T2 - Nature Energy Y1 - 2020 UR - https://www.nature.com/articles/s41560-020-0661-2 U6 - https://doi.org/10.1038/s41560-020-0661-2 SN - 2058-7546 VL - 5 IS - 8 SP - 614 EP - 622 ER - TY - GEN A1 - Müsgens, Felix A1 - Riepin, Iegor T1 - Offshore-Windenergie - subventionsfrei? T2 - e|m|w.Trends : das Innovationsmagazin von ener|gate KW - Offshore-Windenergie KW - Nature Energy KW - Offshore-Windtechnologien Y1 - 2020 UR - https://www.emw-online.com/trends/artikel/205364/offshore-windenergie-subventionsfrei SN - 1611-2997 IS - 5 ER - TY - RPRT A1 - Riepin, Iegor A1 - Jansen, Malte A1 - Staffell, Iain A1 - Müsgens, Felix T1 - The era of ‘negative-subsidy’ offshore wind power has almost arrived KW - offshore wind farms KW - Nature Energy KW - Offshore wind auctions KW - offshore wind Y1 - 2020 UR - https://www.carbonbrief.org/guest-post-the-era-of-negative-subsidy-offshore-wind-power-has-almost-arrived ER - TY - RPRT A1 - Weyer, Hartmut A1 - Müsgens, Felix T1 - Netzengpässe als Herausforderung für das Stromversorgungssystem. Regelungsfelder, Status quo und Handlungsoptionen KW - Energiesysteme KW - Schriftenreihe Energiesysteme der Zukunft KW - Stromversorgungssystem KW - Netzengpässe KW - erneuerbare Energien Y1 - 2020 UR - https://energiesysteme-zukunft.de/publikationen/analyse/analyse-netzengpaesse SN - 978-3-9820053-2-4 CY - München ER - TY - GEN A1 - Batz Liñeiro, Taimyra A1 - Müsgens, Felix T1 - Evaluating the German PV auction program: The secrets of individual bids revealed T2 - Energy Policy N2 - 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. KW - Energy markets and pricing Y1 - 2021 UR - https://linkinghub.elsevier.com/retrieve/pii/S0301421521004845 U6 - https://doi.org/10.1016/j.enpol.2021.112618 SN - 0301-4215 ER - TY - GEN A1 - Riepin, Iegor A1 - Möbius, Thomas A1 - Müsgens, Felix T1 - Modelling uncertainty in coupled electricity and gas systems - is it worth the effort? T2 - Applied Energy N2 - 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. KW - Energy markets and pricing Y1 - 2021 UR - https://www.sciencedirect.com/science/article/abs/pii/S0306261920317426?via%3Dihub U6 - https://doi.org/10.1016/j.apenergy.2020.116363 SN - 1872-9118 VL - 285 ER - TY - GEN A1 - Engelhorn, Thorsten A1 - Müsgens, Felix T1 - Why is Germany’s energy transition so expensive? Quantifying costs from wind energy decentralisation T2 - Resource and Energy Economics N2 - 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. KW - Energy markets and pricing Y1 - 2021 UR - https://www.sciencedirect.com/science/article/pii/S0928765521000269 U6 - https://doi.org/10.1016/j.reseneeco.2021.101241 SN - 1873-0221 VL - 65 ER - TY - GEN A1 - Antweiler, Werner A1 - Müsgens, Felix T1 - On the long-term merit order effect of renewable energies T2 - Energy Economics N2 - 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. KW - Energy markets and pricing Y1 - 2021 UR - https://www.sciencedirect.com/science/article/pii/S0140988321001808?via%3Dihub U6 - https://doi.org/10.1016/j.eneco.2021.105275 SN - 0140-9883 SN - 1873-6181 VL - 99 ER - TY - GEN A1 - Riepin, Iegor A1 - Müsgens, Felix T1 - Seasonal flexibility in the European natural gas market T2 - The Energy Journal N2 - 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. KW - Energy markets and pricing Y1 - 2022 UR - https://www.iaee.org/energyjournal/article/3779 U6 - https://doi.org/10.5547/01956574.43.1.irie SN - 1944-9089 SN - 0195-6574 VL - 43 IS - 1 SP - 117 EP - 138 ER - TY - GEN A1 - Nikodinoska, Dragana A1 - Käso, Mathias A1 - Müsgens, Felix T1 - Solar and wind power generation forecasts using elastic net in time-varying forecast combinations T2 - Applied Energy N2 - 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. KW - Energy markets and pricing Y1 - 2022 U6 - https://doi.org/10.1016/j.apenergy.2021.117983 SN - 1872-9118 VL - 306, Part A ER - TY - GEN A1 - Jansen, Malte A1 - Beiter, Philipp A1 - Riepin, Iegor A1 - Müsgens, Felix A1 - Guajardo-Fajardo, Victor Juarez A1 - Staffell, Iain A1 - Bulder, Bernard A1 - Kitzing, Lena T1 - Policy choices and outcomes for the competitive procurement of offshore wind energy globally T2 - Energy Policy N2 - 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. KW - Renewable energy KW - Tender design KW - Auction database KW - Support scheme KW - Policy analysis KW - Remuneration Mechanism KW - Revenue stabilisation Y1 - 2022 U6 - https://doi.org/10.1016/j.enpol.2022.113000 SN - 0301-4215 VL - 167 ER - TY - GEN A1 - Nguyen, Thi Ngoc A1 - Müsgens, Felix T1 - What drives the accuracy of PV output forecasts? T2 - Applied Energy N2 - 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. KW - Solar energy forecasting KW - Photovoltaics forecasting KW - Evaluating forecasts KW - Forecasting practice KW - Model selection KW - Statistical analysis Y1 - 2022 U6 - https://doi.org/10.1016/j.apenergy.2022.119603 SN - 1872-9118 SN - 0306-2619 VL - 323 ER - TY - GEN A1 - Riepin, Iegor A1 - Schmidt, Matthew A1 - Baringo, Luis A1 - Müsgens, Felix T1 - Adaptive robust optimization for European strategic gas infrastructure planning T2 - Applied Energy N2 - 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. KW - Adaptive robust optimization KW - Capacity planning KW - European gas market KW - Uncertainty Y1 - 2022 U6 - https://doi.org/10.1016/j.apenergy.2022.119686 SN - 1872-9118 SN - 0306-2619 VL - 324 ER - TY - GEN A1 - Jalbout, Eddy A1 - Genge, Lucien A1 - Riepin, Iegor A1 - Müsgens, Felix T1 - What do we know about green hydrogen supply costs? T2 - 18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia N2 - 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. KW - Industries KW - Costs KW - Uncertainty KW - Hydrogen KW - Supply chains KW - Europe KW - IEEE Fellows Y1 - 2022 SN - 978-1-6654-0896-7 SN - 978-1-6654-0897-4 U6 - https://doi.org/10.1109/EEM54602.2022.9921127 SN - 2165-4093 SN - 2165-4077 SP - 1 EP - 7 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Bernecker, Maximilian A1 - Riepin, Iegor A1 - Müsgens, Felix T1 - Modeling of Extreme Weather Events—Towards Resilient Transmission Expansion Planning T2 - 18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia N2 - 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. KW - Adaptation models KW - Renewable energy sources KW - Wind KW - Uncertainty KW - Mathematical models KW - Power systems KW - Planning Y1 - 2022 SN - 978-1-6654-0896-7 SN - 978-1-6654-0897-4 U6 - https://doi.org/10.1109/EEM54602.2022.9921145 SN - 2165-4093 SN - 2165-4077 SP - 1 EP - 7 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Nguyen, Thi Ngoc A1 - Müsgens, Felix T1 - A Meta-Analysis of Solar Forecasting Based on Skill Score T2 - arXiv N2 - 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. Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2208.10536 SP - 1 EP - 55 ER - TY - GEN A1 - Jalbout, Eddy A1 - Genge, Lucien A1 - Müsgens, Felix T1 - H2Europe: an analysis of long-term hydrogen import-potentials from the MENA region T2 - 18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia N2 - 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 . KW - Renewable energy sources KW - Costs KW - Pipelines KW - Supply chains KW - Green products KW - Europe KW - Hydrogen Y1 - 2022 SN - 978-1-6654-0896-7 SN - 978-1-6654-0897-4 U6 - https://doi.org/10.1109/EEM54602.2022.9921055 SN - 2165-4093 SN - 2165-4077 SP - 1 EP - 7 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Müsgens, Felix A1 - Radke, Silvian T1 - Warmer Lichtsturm - Umgang mit Erzeugungsspitzen aus PV und Wind : Arbeitspaket 1 T2 - Warmer Lichtsturm - Umgang mit Erzeugungsspitzen aus PV und Wind N2 - Über 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 unterstützen, neue Denk- und Lösungsansätze zu entwickeln und Erkenntnisse aus der Forschung – wo angemessen – in die Praxis von 50Hertz zu übernehmen. 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 geprüft und diskutiert, letztendlich entsprechen aber nicht alle Positionen denen von 50Hertz. KW - Wind-Einspeisungsspitzen KW - PV-Zubau Y1 - 2024 UR - https://www.50hertz.com/xspProxy/api/staticfiles/50hertz-client/dokumente/unternehmen/partnerschaften/scientific%20advisory%20project%20board/berichte%20warmer%20lichtsturm/sapb_warmer-lichtsturm_langfassung.pdf VL - 2024 SP - 13 EP - 30 ER -