Renewable energy targets and unintended storage cycling: Implications for energy modeling

Kittel, Martin; Schill, Wolf-Peter

doi:10.1016/j.isci.2022.104002

Cited by 14 publications

(15 citation statements)

References 72 publications

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“…For instance, USC across space may occur in multi-regional model settings through simultaneous charging in one region and discharging in another region for the sole purpose of dissipating surplus renewable energy instead of curtailing it, notably in the absence of transmission costs. Similarly, USC across time represents unintended simultaneous charging and discharging cycles across multiple periods [3]. The fact that USC is not limited to one point in space and time aligns with the non-guaranteed operational uniqueness in scenarios with multiple storage assets [4].…”

Section: Introductionmentioning

confidence: 99%

“…One model artifact distorting optimal model results is unintended storage cycling (USC) [3], which is observed in 12 of 18 well-established energy system models, as reviewed by Kittel and Schill (2022) [3]. The effect impacts storage use.…”

Section: Introductionmentioning

confidence: 99%

“…USC is not the only such misleading effect. There is a group of related effects classified under the term unintended energy losses, which arise in a cyclic manner [3]. Unintended, because they distort optimization results.…”

Section: Introductionmentioning

confidence: 99%

“…While the above literature provides solutions on USC arising in models that abstain from binding renewable energy targets, Kittel and Schill (2022) [3] investigate USC arising in models that are constrained by a binding renewable energy target. In these models, USC causes an increase of VRE generation, which can be realised without additional renewable capacity installations.…”

Section: Introductionmentioning

confidence: 99%

“…However, the novel solution presented in Kittel and Schill [3] is not applicable to model formulations without binding renewable targets [10][11][12][13], which are more frequently used than models with binding renewable targets [3]. In models without binding renewable targets, USC is caused by a different mechanism: It may arise if one or multiple options to dissipate unused energy from the system are available and come at e.g.…”

Section: Introductionmentioning

confidence: 99%

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A prospect theory extension of data envelopment analysis model for wave‐wind energy site selection in New Zealand

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Renewable energy sources have been utilized by countries worldwide, but offshore energy exploitation projects remain highly promising for both the world and New Zealand specifically. The selection of equipment installation locations can be challenging and requires significant investment, prompting the need for optimization in offshore energy exploitation. Wind and wave location (WWL) integrated sites offer a highly potential solution for reducing installation costs and enhancing efficiency in renewable energy exploitation. However, the decision‐making process for selecting equipment locations is crucial and directly affects the outcome. This study aims to evaluate and consider sustainable and effective equipment installation sites based on both quantitative indicators and behavioral psychology of decision making. To achieve this goal, the study utilizes the prospect theory Data Envelopment Analysis (PT‐DEA) model, which builds on PT to analyze and evaluate the effectiveness of offshore installation site selection with consideration for human psychology. By combining the results of quantitative indicators and decision‐making behavior, the study identifies sustainable and effective offshore installation sites, recommending appropriate equipment installation locations WWL. The study is also compared and referenced with relevant plans, projects, and development policies in New Zealand for confirmation.

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Reflecting the energy transition from a European perspective and in the global context—Relevance of solar photovoltaics benchmarking two ambitious scenarios

Breyer

Bogdanov

Ram

et al. 2022

Progress in Photovoltaics

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Multiple energy‐related crises require a fast transition towards a sustainable energy system. The European Green Deal aims for zero CO2 emission by 2050, while accelerating climate change impacts obligate a faster phase‐out of fossil fuels. Energy transition studies for Europe at and near 100% renewable energy are used as a benchmark for two newly introduced scenarios for Europe reaching zero CO2 emissions by 2050 and 2040. A technology‐rich energy system model was applied in hourly resolution for Europe in 20 interconnected regions and in full sector coupling covering all energy demands. The results reveal a cost‐neutral energy transition towards 2050 based on declining levelised cost of electricity and a pathway with 9% higher energy costs leading to 17% lower total CO2 emissions with an accelerated energy transition by 2040. The two scenarios find shares of solar photovoltaic (PV) in total generation of 61%–63% by 2050, the highest ever estimated for Europe, still below the highest global average shares ranging between 75% and 77% form three independent studies. The central energy system components are solar PV, wind power, batteries, electrolysers and CO2 direct air capture for carbon capture and utilisation. The core characteristic of the European energy future may be best described by a power‐to‐X economy, which may evolve on the global scale to a solar‐to‐X economy.

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Renewable energy targets and unintended storage cycling: Implications for energy modeling

Cited by 14 publications

References 72 publications

Reducing energy system model distortions from unintended storage cycling through variable costs

Reducing energy system model distortions from unintended storage cycling through variable costs

A prospect theory extension of data envelopment analysis model for wave‐wind energy site selection in New Zealand

Reflecting the energy transition from a European perspective and in the global context—Relevance of solar photovoltaics benchmarking two ambitious scenarios

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