TY - JOUR A1 - Blume-Werry, Eike A1 - Faber, Thomas A1 - Hirth, Lion A1 - Huber, Claus A1 - Everts, Martin T1 - Eyes on the Price: Which Power Generation Technologies Set the Market Price? JF - Economics of Energy & Environmental Policy N2 - Upon discussion of price setting on electricity wholesale markets, many refer to the so-called merit order model. Conventional wisdom holds that during most hours of the year, coal- or natural gas-fired power plants set the price on European markets. In this context, this paper analyses price setting on European power markets. We use a fundamental electricity market model of interconnected bidding zones to determine hourly price-setting technologies for the year 2020. We find a price-setting pattern that is more complex and nuanced than the conventional wisdom suggests: across all researched countries, coal- and natural gas-fired power plants set the price for only 40 per cent of all hours. Other power generation technologies such as wind, biomass, hydro and nuclear power plants as well as lignite-fired plants set the price during the rest of the year. On some markets, the price setting is characterised by a high level of interconnectivity and thus foreign influence – as illustrated by the example of the Netherlands. During some 75 per cent of hours, foreign power plants set the price on the Dutch market, whilst price setting in other more isolated markets is barely affected by foreign markets. Hence, applying the price setting analysis to the proposed Dutch carbon price floor, we show that different carbon prices have little effect on the technological structure of the price-setting units. In this respect, the impacts of the unilateral initiative are limited. There are, however, considerable changes to be observed in wholesale power prices, import/export balances as well as production volumes and subsequent CO2 outputs of lignite-, coal- and gas-fired power plants. Y1 - 2021 U6 - https://doi.org/10.5547/2160-5890.10.1.eblu VL - 10 IS - 1 ER - TY - RPRT A1 - Ehrhart, Karl-Martin A1 - Eicke, Anselm A1 - Hirth, Lion A1 - Ocker, Fabian A1 - Ott, Marion A1 - Schlecht, Ingmar A1 - Wang, Runxi T1 - Analysis of a Capacity-Based Redispatch Mechanism N2 - This paper discusses a capacity-based redispatch mechanism in which awarded market participants are compensated for their availability for redispatch, rather than activation. The rationale is to develop a market design that prevents so-called “inc-dec gaming” when including flexible consumers with a market-based approach. We conduct a game-theoretical analysis of a capacity-based redispatch mechanism. Our analysis reveals that despite its intention, the capacity-based redispatch is prone to undesirable behavior of market participants. The reason is that the availability payment incentivizes participants to change their energy consumption (generation) behavior. However, this also applies to undesired participants who increase the redispatch requirement through participation. Under certain assumptions, the additional redispatch potential equals the additional redispatch demand it creates. Consequently, the mechanism does not resolve network constraints, while causing costs for the compensation payments. Furthermore, we study three alternative implementation options, none of which resolves the underlying problem. It follows from our analysis that a mechanism can only be promising if it is capable to distinguish between the potential participants to exclude the undesirable ones. Y1 - 2024 U6 - https://doi.org/10.2139/ssrn.4830366 PB - ZEW – Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH CY - Mannheim ER - TY - RPRT A1 - Tiedemann, Silvana A1 - Sanchez Canales, Jorge A1 - Schur, Felix A1 - Sgarlato, Raffaele A1 - Hirth, Lion A1 - Ruhnau, Oliver A1 - Peters, Jonas T1 - Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs N2 - The price elasticity of demand can be estimated from observational data using instrumental variables (IV). However, naive IV estimators may be inconsistent in settings with autocorrelated time series. We argue that causal time graphs can simplify IV identification and help select consistent estimators. To do so, we propose to first model the equilibrium condition by an unobserved confounder, deriving a directed acyclic graph (DAG) while maintaining the assumption of a simultaneous determination of prices and quantities. We then exploit recent advances in graphical inference to derive valid IV estimators, including estimators that achieve consistency by simultaneously estimating nuisance effects. We further argue that observing significant differences between the estimates of presumably valid estimators can help to reject false model assumptions, thereby improving our understanding of underlying economic dynamics. We apply this approach to the German electricity market, estimating the price elasticity of demand on simulated and real-world data. The findings underscore the importance of accounting for structural autocorrelation in IV-based analysis. Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2409.15530 PB - arXiv ER - TY - JOUR A1 - Ehrhart, Karl-Martin A1 - Eicke, Anselm A1 - Hirth, Lion A1 - Ocker, Fabian A1 - Ott, Marion A1 - Schlecht, Ingmar A1 - Wang, Runxi T1 - Analysis of a capacity-based redispatch mechanism JF - Energy Economics N2 - This paper discusses a capacity-based redispatch mechanism in which awarded market participants are compensated for their availability for redispatch, rather than activation. The rationale is to develop a market design that prevents so-called “inc-dec gaming” when including flexible consumers with a market-based approach. We conduct a game-theoretical analysis of a capacity-based redispatch mechanism. Our analysis reveals that despite its intention, the capacity-based redispatch is prone to undesirable behavior of market participants. The reason is that the availability payment incentivizes participants to change their energy consumption or generation behavior. However, this also applies to undesired participants who increase the redispatch requirement through participation. Under certain assumptions, the additional redispatch potential equals the additional redispatch requirement it creates. Consequently, the mechanism does not resolve network constraints, while causing costs for the compensation payments. Furthermore, we study three alternative implementation options, none of which resolves the underlying problem. It follows from our analysis that a mechanism can only be promising if it is capable to distinguish between the potential participants to exclude the undesired ones. Y1 - 2025 U6 - https://doi.org/10.1016/j.eneco.2025.108751 VL - 149 PB - Elsevier BV ER - TY - RPRT A1 - Ehrhart, Karl-Martin A1 - Eicke, Anselm A1 - Hirth, Lion A1 - Ocker, Fabian A1 - Ott, Marion A1 - Schlecht, Ingmar A1 - Wang, Runxi T1 - Congestion Management Games in Electricity Markets N2 - This paper proposes a game-theoretic model to analyze the strategic behavior of inc-dec gaming in market-based congestion management (redispatch). We extend existing models by considering incomplete information about competitors’ costs and a finite set of providers. We find that these extensions do not dissolve inc-dec gaming, which already occurs in our setup of two regions. We also benchmark market-based redispatch against grid investment, cost-based redispatch, and the Vickrey-Clarke-Groves mechanism. The comparison highlights a significant inefficiency of market-based redispatch and inflated redispatch payments. Finally, we study seven variations of our basic model to assess whether different market fundamentals or market design changes mitigate inc-dec gaming. None of these variations eliminate inc-dec gaming entirely. Y1 - 2022 U6 - https://doi.org/10.2139/ssrn.4300874 PB - ZEW – Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH CY - Mannheim ER - TY - JOUR A1 - Hirth, Lion A1 - Khanna, Tarun M. A1 - Ruhnau, Oliver T1 - How aggregate electricity demand responds to hourly wholesale price fluctuations JF - Energy Economics N2 - Electricity needs to be consumed at the very moment of production, leading wholesale prices to fluctuate widely at (sub-)hourly time scales. This article investigates the response of aggregate electricity demand to such price variations. Using wind energy as an instrument, we estimate a significant and robust short-term price elasticity of about −0.05 in Germany and attribute this to industrial consumers. As the share of consumption that is exposed to real-time prices (currently less than 25%) expands, we expect the aggregated price elasticity to grow. Y1 - 2024 U6 - https://doi.org/10.1016/j.eneco.2024.107652 SN - 0140-9883 VL - 135 PB - Elsevier BV ER - TY - JOUR A1 - Ruhnau, Oliver A1 - Stiewe, Clemens A1 - Muessel, Jarusch A1 - Hirth, Lion T1 - Natural gas savings in Germany during the 2022 energy crisis JF - Nature Energy N2 - Russia curbed its natural gas supply to Europe in 2021 and 2022, creating a grave energy crisis. This paper empirically estimates the crisis response of natural gas consumers in Germany—for decades the largest export market for Russian gas. Using a multiple regression model, we estimate the response of small consumers, industry, and power stations separately, controlling for the non-linear temperature-heating relationship, seasonality, and trends. We find significant and substantial gas savings for all consumer groups, but with differences in timing and size. For instance, industry started reducing consumption as early as September 2021, while small consumers saved substantially only since March 2022. Across all sectors, gas consumption during the second half of 2022 was 23% below the temperature-adjusted baseline. We discuss the drivers behind these savings and draw conclusions on their role in coping with the crisis. Y1 - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b1570-opus4-49445 U6 - https://doi.org/10.48462/opus4-4944 N1 - This is a post-peer-review, pre-copyedit version of an article published in Nature Energy. The final authenticated version is available online at: https://doi.org/10.1038/s41560-023-01260-5 ER - TY - JOUR A1 - Schlecht, Ingmar A1 - Maurer, Christoph A1 - Hirth, Lion T1 - Financial contracts for differences: The problems with conventional CfDs in electricity markets and how forward contracts can help solve them JF - Energy Policy N2 - Contracts for differences are widely seen as a cornerstone of Europe's future electricity market design. This paper is about designing such contracts. We identify the dispatch and investment distortions that conventional CfDs cause, the patches used to overcome these shortcomings, and the problems these fixes introduce. We then propose an alternative contract we call “financial” CfD. This hybrid between conventional CfDs and forward contracts mitigates revenue risk to a substantial degree while providing undistorted incentives. Like conventional CfDs, it is long-term and tailored to technology-specific (wind, solar, nuclear) generation patterns but, like forwards, decouples payments from actual generation. The proposed contract mitigates volume risk and avoids margin calls by accepting physical assets as collateral. KW - Management, Monitoring, Policy and Law KW - General Energy Y1 - 2024 U6 - https://doi.org/10.1016/j.enpol.2024.113981 VL - 186 ER - TY - RPRT A1 - Hirth, Lion A1 - Khanna, Tarun A1 - Ruhnau, Oliver T1 - The (very) short-term price elasticity of German electricity demand N2 - Electricity is a peculiar economic good, the most important reason being that it needs to be supplied at the very moment of consumption. As a result, wholesale electricity prices fluctuate widely at hourly or sub-hourly time scales, regularly reaching multiples of their average, and even turn negative. This paper examines whether the demand for electricity responds to such price variations in the very short term. To solve the classical identification problem when estimating a demand curve, we use weather-driven wind energy generation as an instrument. Our robustness checks confirm that wind energy is indeed a strong and valid instrument. Using data from Germany, we estimate that a 1 €/MWh increase in the wholesale electricity price causes the aggregate electricity demand to decline by 67–80 MW or 0.12–0.14%, contradicting the conventional wisdom that electricity demand is highly price-inelastic. These estimates are statistically significant and robust across model specifications, estimators, and sensitivity analyses. At average price and demand, our estimates correspond to a price elasticity of demand of about –0.05. Comparing situations with high and low wind energy (5–95th percentile), we estimate that prices vary by 26 €/MWh, and the corresponding demand response to wholesale electricity prices is about 2 GW, or 2.6% of peak load. Our analysis suggests that the demand response in Germany can be attributed primarily to industrial consumers. KW - Electricity markets KW - Price elasticity KW - Demand response KW - Instrumental variables KW - Centre for Sustainability Y1 - 2022 UR - https://www.econstor.eu/handle/10419/249570 ER - TY - JOUR A1 - Ruhnau, Oliver A1 - Eicke, Anselm A1 - Sgarlato, Raffaele A1 - Tröndle, Tim A1 - Hirth, Lion T1 - Cost-Potential Curves of Onshore Wind Energy: the Role of Disamenity Costs JF - Environmental and Resource Economics N2 - Numerical optimization models are used to develop scenarios of the future energy system. Usually, they optimize the energy mix subject to engineering costs such as equipment and fuel. For onshore wind energy, some of these models use cost-potential curves that indicate how much electricity can be generated at what cost. These curves are upward sloping mainly because windy sites are occupied first and further expanding wind energy means deploying less favorable resources. Meanwhile, real-world wind energy expansion is curbed by local resistance, regulatory constraints, and legal challenges. This presumably reflects the perceived adverse effect that onshore wind energy has on the local human population, as well as other negative external effects. These disamenity costs are at the core of this paper. We provide a comprehensive and consistent set of cost-potential curves of wind energy for all European countries that include disamenity costs, and which can be used in energy system modeling. We combine existing valuation of disamenity costs from the literature that describe the costs as a function of the distance between turbine and households with gridded population data, granular geospatial data of wind speeds, and additional land-use constraints to calculate such curves. We find that disamenity costs are not a game changer: for most countries and assumptions, the marginal levelized cost of onshore wind energy increase by 0.2–12.5 €/MWh. KW - Centre for Sustainability Y1 - 2022 U6 - https://doi.org/10.1007/s10640-022-00746-2 ER - TY - RPRT A1 - Stiewe, Clemens A1 - Ruhnau, Oliver A1 - Hirth, Lion T1 - European industry responds to high energy prices: The case of German ammonia production. N2 - Since September 2021, European natural gas prices are at record-high levels. On average, they have been six to seven times higher than pre-pandemic price levels. While the post-pandemic recovery of global natural gas demand has driven up prices around the world, the most important drivers for European gas prices were Russia's less-than-usual supply since mid-2021 and its invasion of Ukraine in February 2022. Western efforts to abandon Russian gas imports altogether mean that high natural gas prices are likely to stay for longer. While high gas prices may be the new normal, there is uncertainty about the economic reaction to this shock. How do energy-intensive industries react? Do global value chains collapse if intermediate goods produced in Europe become uneconomic because of high energy prices? Our preliminary analysis shows that industry response to has in fact been visible from the very onset of the energy crisis. A closer look at German fertilizer production, which heavily relies on natural gas as fuel and feedstock to produce ammonia as an intermediate product, reveals that increased ammonia imports have allowed domestic fertilizer production to remain remarkably stable. KW - Energy Demand KW - Demand response KW - European energy crisis KW - Natural gas KW - Centre for Sustainability Y1 - 2022 UR - https://www.econstor.eu/handle/10419/253251 ER - TY - JOUR A1 - Winzer, Christian A1 - Ramírez-Molina, Héctor A1 - Hirth, Lion A1 - Schlecht, Ingmar T1 - Profile contracts for electricity retail customers JF - Energy Policy N2 - Decarbonization involves a large-scale expansion of low-carbon generators such as wind and solar and the electrification of heating and transport. Both space heating and battery-electric cars have significant embedded flexibility potential. Granular price signals that convey abundance or scarcity of electricity are a precondition for customers or aggregators acting on their behalf to exploit this flexibility. However, unmitigated real-time prices expose customers to electricity price risks. To tackle the dual need of providing flexibility incentives while protecting customers from cost shocks, real-time tariffs with a hedging component can be a solution. In such contracts customers pre-agree an amount of energy and a consumption profile, while hourly deviations are charged at spot prices. In this paper we analyze design options by using a dataset of anonymized smart meter data and show that profile tariffs can bring electricity bill volatility to similarly low levels as fixed tariffs while providing full flexibility incentives from spot prices. Y1 - 2024 U6 - https://doi.org/10.1016/j.enpol.2024.114358 SN - 0301-4215 VL - 195 PB - Elsevier BV ER - TY - RPRT A1 - Xu, Alice Lixuan A1 - Sánchez Canales, Jorge A1 - Fusar Bassini, Chiara A1 - Kaack, Lynn H. A1 - Hirth, Lion T1 - Market power abuse in wholesale electricity markets N2 - In wholesale electricity markets, prices fluctuate widely from hour to hour and electricity generators price-hedge their output using longer-term contracts, such as monthly base futures. Consequently, the incentives they face to drive up the power prices by reducing supply has a high hourly specificity, and because of hedging, they regularly also face an incentive to depress prices by inflating supply. In this study, we explain the dynamics between hedging and market power abuse in wholesale electricity markets and use this framework to identify market power abuse in real markets. We estimate the hourly economic incentives to deviate from competitive behavior and examine the empirical association between such incentives and observed generation patterns. Exploiting hourly variation also controls for potential estimation bias that do not correlate with economic incentives at the hourly level, such as unobserved cost factors. Using data of individual generation units in Germany in a six-year period 2019-2024, we find that in hours where it is more profitable to inflate prices, companies indeed tend to withhold capacity. We find that the probability of a generation unit being withheld increases by about 1 % per euro increase in the net profit from withholding one megawatt of capacity. The opposite is also true for hours in which companies benefit financially from lower prices, where we find units being more likely to be pushed into the market by 0.3 % per euro increase in the net profit from capacity push-in. We interpret the result as empirical evidence of systematic market power abuse. Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2506.03808 PB - arXiv ER - TY - RPRT A1 - Fusar Bassini, Chiara A1 - Xu, Alice Lixuan A1 - Sánchez Canales, Jorge A1 - Hirth, Lion A1 - Kaack, Lynn T1 - Revealing the empirical flexibility of gas units through deep clustering N2 - The flexibility of a power generation unit determines how quickly and often it can ramp up or down. In energy models, it depends on assumptions on the technical characteristics of the unit, such as its installed capacity or turbine technology. In this paper, we learn the empirical flexibility of gas units from their electricity generation, revealing how real-world limitations can lead to substantial differences between units with similar technical characteristics. Using a novel deep clustering approach, we transform 5 years (2019-2023) of unit-level hourly generation data for 49 German units from 100 MWp of installed capacity into low-dimensional embeddings. Our unsupervised approach identifies two clusters of peaker units (high flexibility) and two clusters of non-peaker units (low flexibility). The estimated ramp rates of non-peakers, which constitute half of the sample, display a low empirical flexibility, comparable to coal units. Non-peakers, predominantly owned by industry and municipal utilities, show limited response to low residual load and negative prices, generating on average 1.3 GWh during those hours. As the transition to renewables increases market variability, regulatory changes will be needed to unlock this flexibility potential. Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2504.16943 PB - arXiv ER - TY - RPRT A1 - Fusar Bassini, Chiara A1 - Xu, Alice Lixuan A1 - Sánchez Canales, Jorge A1 - Hirth, Lion A1 - Kaack, Lynn H. T1 - Flexibility of German gas-fired generation: evidence from clustering empirical operation N2 - A key input to energy models are assumptions about the flexibility of power generation units, i.e., how quickly and often they can start up. These assumptions are usually calibrated on the technical characteristics of the units, such as installed capacity or technology type. However, even if power generation units technically can dispatch flexibly, service obligations and market incentives may constrain their operation. Here, we cluster over 60% of German national gas generation (generation units of 100 MWp or above) based on their empirical flexibility. We process the hourly dispatch of sample units between 2019 and 2023 using a novel deep learning approach, that transforms time series into easy-to-cluster representations. We identify two clusters of peaker units and two clusters of non-peaker units, whose different empirical flexibility is quantified by cluster-level ramp rates. Non-peaker units, around half of the sample, are empirically less flexible than peakers, and make up for more than 83% of sample must-run generation. Regulatory changes addressing the low market responsiveness of non-peakers are needed to unlock their flexibility. Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2504.16943 PB - arXiv ER - TY - RPRT A1 - Tiedemann, Silvana A1 - Sgarlato, Raffaele A1 - Hirth, Lion T1 - Price elasticity of electricity demand: Using instrumental variable regressions to address endogeneity and autocorrelation of high-frequency time series N2 - This paper examines empirical methods for estimating the response of aggregated electricity demand to high-frequency price signals, the short-term elasticity of electricity demand. We investigate how the endogeneity of prices and the autocorrelation of the time series, which are particularly pronounced at hourly granularity, affect and distort common estimators. After developing a controlled test environment with synthetic data that replicate key statistical properties of electricity demand, we show that not only the ordinary least square (OLS) estimator is inconsistent (due to simultaneity), but so is a regular instrumental variable (IV) regression (due to autocorrelation). Using wind as an instrument, as it is commonly done, may result in an estimate of the demand elasticity that is inflated by an order of magnitude. We visualize the reason for the Thams bias using causal graphs and show that its magnitude depends on the autocorrelation of both the instrument, and the dependent variable. We further incorporate and adapt two extensions of the IV estimation, conditional IV and nuisance IV, which have recently been proposed by Thams et al. (2022). We show that these extensions can identify the true short-term elasticity in a synthetic setting and are thus particularly promising for future empirical research in this field. Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2306.12863 PB - arXiv ER - TY - RPRT A1 - Sánchez Canales, Jorge A1 - Xu, Alice Lixuan A1 - Fusar Bassini, Chiara A1 - Kaack, Lynn H. A1 - Hirth, Lion T1 - An empirical estimate of the electricity supply curve from market outcomes N2 - Researchers and electricity sector practitioners frequently require the supply curve of electricity markets and the price elasticity of supply for purposes such as price forecasting, policy analyses or market power assessment. It is common practice to construct supply curves from engineering data such as installed capacity and fuel prices. In this study, we propose a data-driven methodology to estimate the supply curve of electricity market empirically, i.e. from observed prices and quantities without further modeling assumptions. Due to the massive swings in fuel prices during the European energy crisis, a central task is detecting periods of stable supply curves. To this end, we implement two alternative clustering methods, one based on the fundamental drivers of electricity supply and the other directly on observed market outcomes. We apply our methods to the German electricity market between 2019 and 2024. We find that both approaches identify almost identical regimes shifts, supporting the idea of stable supply regimes stemming from stable drivers. Supply conditions are often stable for extended periods, but evolved rapidly during the energy crisis, triggering a rapid succession of regimes. Fuel prices were the dominant drivers of regime shifts, while conventional plant availability and the nuclear phase-out play a comparatively minor role. Our approach produces empirical supply curves suitable for causal inference and counterfactual analysis of market outcomes. Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2511.23068 PB - arXiv ER - TY - JOUR A1 - Dertinger, Andrea A1 - Hirth, Lion T1 - Reforming the electric power industry in developing economies: Evidence on efficiency and electricity access outcomes JF - Energy Policy N2 - Since the 1990s, many developing countries have restructured their electric power industry. Policies such as breaking up, commercializing and privatizing utilities, allowing for independent power producers, installing independent regulators, and introducing competitive wholesale markets were meant to improve the industry's efficiency and service quality. We exploit more than 30 years of data from over 100 countries to investigate the impact of power sector reforms on efficiency (represented by network losses) and access to electricity (represented by connection rates and residential power consumption). Crucially, reforms are likely to be endogenous with respect to sector performance: a crisis in electricity supply might well trigger reform efforts. We deal with endogeneity using reform activity in neighboring countries as an instrument. Our results suggest that reforms strongly and positively impact electricity access. According to our preferred specification, a full reform program would increase connection rates by 20 percentage points and per capita consumption by 62 percent: these are large effects that are stable across a range of robustness checks. Moreover, the effect of improving access is largest in South Asian countries. In contrast to previous studies, we do not find robust evidence to support the theory that reforms reduce network losses. Y1 - 2020 U6 - https://doi.org/10.1016/j.enpol.2020.111348 IS - 139 ER - TY - JOUR A1 - Hirth, Lion T1 - Open Data for Electricity Modeling: Legal Aspects JF - Energy Strategy Reviews N2 - Power system modeling is data intensive. In Europe, electricity system data is often available from sources such as statistical offices or system operators. However, it is often unclear if these data can be legally used for modeling, and in particular if such use infringes intellectual property rights. This article reviews the legal status of power system data, both as a guide for data users and for data publishers. It is based on interpretation of the law, a review of the secondary literature, an analysis of the licenses used by major data distributors, expert interviews, and a series of workshops. A core finding is that in many cases the legality of current practices is doubtful: in fact, it seems likely that modelers infringe intellectual property rights quite regularly. This is true for industry analysis but also academic researchers. A straightforward solution is open data – the idea that data can be freely used, modified, and shared by anyone for any purpose. To be open, it is not sufficient for data to be accessible free of cost, it must also come with an open data license, the most common types of which are also reviewed in this paper. Y1 - 2020 U6 - https://doi.org/10.1016/j.esr.2019.100433 IS - 27 ER - TY - JOUR A1 - Cloete, Schalk A1 - Hirth, Lion T1 - Flexible power and hydrogen production: Finding synergy between CCS and variable renewables JF - Energy N2 - The expansion of wind and solar power is creating a growing need for power system flexibility. Dispatchable power plants with CO2 capture and storage (CCS) offer flexibility with low CO2 emissions, but these plants become uneconomical at the low running hours implied by renewables-based power systems. To address this challenge, the novel gas switching reforming (GSR) plant was recently proposed. GSR can alternate between electricity and hydrogen production from natural gas, offering flexibility to the power system without reducing the utilization rate of the capital stock embodied in CCS infrastructure. This study assesses the interplay between GSR and variable renewables using a power system model, which optimizes investment and hourly dispatch of 13 different technologies. Results show that GSR brings substantial benefits relative to conventional CCS. At a CO2 price of €100/ton, inclusion of GSR increases the optimal wind and solar share by 50%, lowers total system costs by 8%, and reduces system emissions from 45 to 4 kgCO2/MWh. In addition, GSR produces clean hydrogen equivalent to about 90% of total electricity demand, which can be used to decarbonize transport and industry. GSR could therefore become a key enabling technology for a decarbonization effort led by wind and solar power. Y1 - 2020 U6 - https://doi.org/10.1016/j.energy.2019.116671 VL - 192 ER - TY - JOUR A1 - Khanna, Tarun A1 - Baiocchi, Giovanni A1 - Callaghan, Max A1 - Creutzig, Felix A1 - Guias, Horia A1 - Haddaway, Neal R. A1 - Hirth, Lion A1 - Javaid, Aneeque A1 - Koch, Nicolas A1 - Laukemper, Sonja A1 - Löschel, Andreas A1 - del Mar Zamora Dominguez, Maria A1 - Minx, Jan C. T1 - A multi-country meta-analysis on the role of behavioural change in reducing energy consumption and CO2 emissions in residential buildings JF - Nature Energy N2 - Despite the importance of evaluating all mitigation options to inform policy decisions addressing climate change, a comprehensive analysis of household-scale interventions and their emissions reduction potential is missing. Here, we address this gap for interventions aimed at changing individual households’ use of existing equipment, such as monetary incentives or feedback. We have performed a machine learning-assisted systematic review and meta-analysis to comparatively assess the effectiveness of these interventions in reducing energy demand in residential buildings. We extracted 360 individual effect sizes from 122 studies representing trials in 25 countries. Our meta-regression confirms that both monetary and non-monetary interventions reduce the energy consumption of households, but monetary incentives, of the sizes reported in the literature, tend to show on average a more pronounced effect. Deploying the right combinations of interventions increases the overall effectiveness. We have estimated a global carbon emissions reduction potential of 0.35 GtCO2 yr−1, although deploying the most effective packages of interventions could result in greater reduction. While modest, this potential should be viewed in conjunction with the need for de-risking mitigation pathways with energy-demand reductions. Y1 - 2021 U6 - https://doi.org/10.1038/s41560-021-00866-x VL - 6 SP - 925 EP - 932 ER - TY - RPRT A1 - Ruhnau, Oliver A1 - Stiewe, Clemens A1 - Muessel, Jarusch A1 - Hirth, Lion T1 - Gas demand in times of crisis. The response of German households and industry to the 2021/22 energy crisis N2 - Europe is in the midst of the most severe energy crisis in a generation, at the core of which is the continuously plummeting supply of Russian natural gas. With alternative supply options being limited, natural gas prices have surged. This paper empirically estimates the response of natural gas demand to the price increase, using data from Germany—the so far largest consumer of Russian natural gas. We identify the crisis response of small and large consumers separately, controlling for temperature, gas-fired power generation, and economic activity. For small consumers, including mostly households, we find a substantial demand reduction of 6% from March onwards—most likely due to political and ethical considerations after the start of Russia’s invasion of Ukraine. For industrial consumers, demand reductions started much earlier in August 2021, when wholesale prices for natural gas started to surge, with an average reduction of 11%. We conclude that voluntary industrial demand response has played a significant role in coping with the energy crisis so far. KW - Energy Demand KW - Demand Response KW - European energy crisis KW - Natural gas KW - Centre for Sustainability Y1 - 2022 ER - TY - RPRT A1 - Tiedemann, Silvana A1 - Stiewe, Clemens A1 - Kratzke, Corinna A1 - Hirth, Lion A1 - Jentsch, Mareike A1 - Damm, Nicolai A1 - Gerhardt, Norman A1 - Pape, Carsten T1 - Gebotszonenteilung: Auswirkungen auf den Marktwert der Erneuerbaren Energien im Jahr 2030 N2 - Eine Teilung des deutschen Marktgebietes würde die Marktwerte erneuerbarer Energien beeinflussen. Wind und Photovoltaik (PV) im Süden Deutschlands würden an Wert gewinnen, während Erneuerbare im Norden Erlöse einbüßen würden. Bei einer auch zukünftig stärkeren Konzentration von erneuerbaren Energien im Norden bedeutet dies insgesamt einen höheren Förderbedarf für PV – Wind wäre trotz niedriger Marktwerte in den meisten Regionen wirtschaftlich. Wenn eine regionale Steuerung erreicht werden soll, müsste die auszuzahlende Förderung für neue PV-Anlagen anhand des zonenübergreifenden Referenzmarktwertes berechnet werden. Durchschnittliche Börsenstrompreise würden durch eine Gebotszonenteilung im Süden Deutschlands leicht angehoben und im Norden gesenkt, die Effekte auf Endkundenpreise und damit verbundene Anreize zur Standortwahl von Industrieunternehmen sind allerdings als gering einzuschätzen. KW - ARIADNE Y1 - 2024 UR - https://ariadneprojekt.de/publikation/gebotszonenteilung-auswirkungen-auf-den-marktwert-der-erneuerbaren-energien-im-jahr-2030/ U6 - https://doi.org/10.48485/pik.2024.002 PB - Kopernikus-Projekt Ariadne CY - Potsdam ER - TY - RPRT A1 - Stiewe, Clemens A1 - Xu, Alice Lixuan A1 - Eicke, Anselm A1 - Hirth, Lion T1 - Cross-border cannibalization: Spillover effects of wind and solar energy on interconnected European electricity markets N2 - The average revenue, or market value, of wind and solar energy tends to fall with increasing market shares, as is now evident across European electricity markets. At the same time, these markets have become more interconnected. In this paper, we empirically study the multiple cross-border effects on the value of renewable energy: on one hand, interconnection is a flexibility resource that allows to export energy when it is locally abundant, benefitting renewables. On the other hand, wind and solar radiation are correlated across space, so neighboring supply adds to the local one to depress domestic prices. We estimate both effects, using spatial panel regression on electricity market data from 2015 to 2023 from 30 European bidding zones. We find that domestic wind and solar value is not only depressed by domestic, but also by neighboring renewables expansion. The better interconnected a market is, the smaller the effect of domestic but the larger the effect of neighboring renewables. While wind value is stabilized by interconnection, solar value is not. If wind market share increases both at home and in neighboring markets by one percentage point, the value factor of wind energy is reduced by just above 1 percentage points. For solar, this number is almost 4 percentage points. Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2405.17166 PB - arXiv ER - TY - JOUR A1 - Stiewe, Clemens A1 - Xu, Alice Lixuan A1 - Eicke, Anselm A1 - Hirth, Lion T1 - Cross-border cannibalization: Spillover effects of wind and solar energy on interconnected European electricity markets JF - Energy Economics N2 - The average per-MWh revenue, or market value, of wind and solar energy tends to fall with increasing market share, as is now evident across European electricity markets. At the same time, these markets are becoming more interconnected. In this paper, we empirically study cross-border effects on the value of renewable energy: On one hand, interconnection is a flexibility resource that allows to export energy when it is locally abundant, benefitting renewables. On the other hand, wind and solar patterns are correlated between countries, so neighboring supply adds to the local one to depress domestic prices. We estimate both effects, using spatial panel regression on electricity market data from 2015 to 2023 from 30 European bidding zones. We find that domestic wind and solar value is not only depressed by domestic, but also by neighboring renewables expansion. The better interconnected a market is, the smaller the effect of domestic but the larger the effect of neighboring renewables. While wind value is stabilized by interconnection, the data suggest that solar value is not. These results can be used to estimate the impact of simultaneous domestic and neighboring capacity expansion: If wind market share increases both at home and in neighboring markets by one percentage point, the value factor of wind energy is reduced by just above 1 percentage point. For solar, this number is almost 4 percentage points. Y1 - 2025 U6 - https://doi.org/10.1016/j.eneco.2025.108251 SN - 0140-9883 N1 - Open Access publication is funded by the Hertie School Library VL - 143 PB - Elsevier BV ER - TY - RPRT A1 - Hirth, Lion A1 - Tiedemann, Silvana A1 - Schill, Wolf-Peter T1 - Was sind eigentlich Netzentgelte? Y1 - 2024 UR - https://ariadneprojekt.de/publikation/hintergrund-was-sind-eigentlich-netzentgelte/ U6 - https://doi.org/10.48485/pik.2024.020 PB - Kopernikus-Projekt Ariadne CY - Potsdam ER - TY - JOUR A1 - Ehrhart, Karl-Martin A1 - Eicke, Anselm A1 - Hirth, Lion A1 - Ocker, Fabian A1 - Ott, Marion A1 - Schlecht, Ingmar A1 - Wang, Runxi T1 - Congestion Management Games in Electricity Markets JF - The Energy Journal N2 - This paper proposes a game-theoretic model to analyze the strategic behavior of inc-dec gaming in market-based congestion management (redispatch). We extend existing models by considering incomplete information about competitors’ costs and a finite set of providers. We find that these extensions do not dissolve inc-dec gaming, which already occurs in our setup of two regions. We also benchmark market-based redispatch against grid investment, cost-based redispatch, and the Vickrey-Clarke-Groves mechanism. The comparison highlights a significant inefficiency of market-based redispatch and inflated redispatch payments. Finally, we study seven variations of our basic model to assess whether different market fundamentals or market design changes mitigate inc-dec gaming. None of these variations eliminate inc-dec gaming entirely. Y1 - 2026 U6 - https://doi.org/10.1177/01956574251365606 VL - 47 IS - 1 SP - 77 EP - 108 ER -