Long-run power storage requirements for high shares of renewables: review and a new model

Zerrahn, Alexander; Schill, Wolf-Peter

doi:10.1016/j.rser.2016.11.098

Cited by 151 publications

(78 citation statements)

References 52 publications

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“…Modeling The simulations in chapter 2 to 4 are based on different versions the numerical electricity market model LORETTA 7 (Zerrahn and Schill, 2017). All numerical model simulations are performed with the General Algebraic Modeling System (GAMS) (Brooke et al, 1988), distribution 24.3.3.…”

Section: Methodology 131mentioning

confidence: 99%

Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation

2017

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Section: Methodology 131mentioning

confidence: 99%

Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation

2017

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“…This is due to the claim to capture the dynamics of variable power provision from renewable energy technologies. By this means, ESOMs typically rely on their highest resolved data and often use hourly input [27]. Exceptions can be found in studies that analyze the impact of different temporal resolutions in unit commitment approaches, e.g., in Deane et al [28] (5, 15, 30 and 60 min) or in O'Dwyer and Flynn [29] as well as in Pandzzic et al [30] who both compare a 15 min resolution with hourly modeling.…”

Section: Temporal Aggregationmentioning

confidence: 99%

Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models

et al. 2019

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Energy system optimization models used for capacity expansion and dispatch planning are established tools for decision-making support in both energy industry and energy politics. The ever-increasing complexity of the systems under consideration leads to an increase in mathematical problem size of the models. This implies limitations of today’s common solution approaches especially with regard to required computing times. To tackle this challenge many model-based speed-up approaches exist which, however, are typically only demonstrated on small generic test cases. In addition, in applied energy systems analysis the effects of such approaches are often not well understood. The novelty of this study is the systematic evaluation of several model reduction and heuristic decomposition techniques for a large applied energy system model using real data and particularly focusing on reachable speed-up. The applied model is typically used for examining German energy scenarios and allows expansion of storage and electricity transmission capacities. We find that initial computing times of more than two days can be reduced up to a factor of ten while having acceptable loss of accuracy. Moreover, we explain what we mean by “effectiveness of model reduction” which limits the possible speed-up with shared memory computers used in this study.

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“…For analysing aspects that cannot be expressed in numbers, qualitative methods can be applied. Systematic reviews of models and presentations of classification schemes [14][15][16][17] fall into this category and are important for modellers, model users, and decision makers to identify the potential application scope of a model. Similarly, qualitative model comparison helps to understand the details of and differences between models that are designed to answer similar research questions.…”

Section: Background and Motivationmentioning

confidence: 99%

A qualitative evaluation approach for energy system modelling frameworks

et al. 2018

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Background: The research field of energy system analysis is faced with the challenge of increasingly complex systems and their sustainable transition. The challenges are not only on a technical level but also connected to societal aspects. Energy system modelling plays a decisive role in this field, and model properties define how useful it is in regard to the existing challenges. For energy system models, evaluation methods exist, but we argue that many decisions upon properties are rather made on the model generator or framework level. Thus, this paper presents a qualitative approach to evaluate frameworks in a transparent and structured way regarding their suitability to tackle energy system modelling challenges. Methods: Current main challenges and framework properties that potentially contribute to tackle these challenges are derived from a literature review. The resulting contribution matrix and the described application procedure is then applied exemplarily in a case study in which the properties of the Open Energy Modelling Framework are checked for suitability to each challenge. Results: We identified complexity (1), scientific standards (2), utilisation (3), interdisciplinary modelling (4), and uncertainty (5) as the main challenges. We suggest three major property categories of frameworks with regard to their capability to tackle the challenges: open-source philosophy (1), collaborative modelling (2), and structural properties (3). General findings of the detailed mapping of challenges and properties are that an open-source approach is a precondition for complying with scientific standards and that approaches to tackle the challenges complexity and uncertainty counteract each other. More research in the field of complexity reduction within energy system models is needed. Furthermore, while framework properties can support to address problems of result communication and interdisciplinary modelling, an important part can only be addressed by communication and organisational structures, thus, on a behavioural and social level. Conclusions: We conclude that the relevance of energy system analysis tools needs to be reviewed critically. Their suitability for tackling the identified challenges deserves to be emphasised. The approach presented here is one contribution to improve current evaluation methods by adding this aspect.

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Long-run power storage requirements for high shares of renewables: review and a new model

Cited by 151 publications

References 52 publications

Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation

Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation

Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models

A qualitative evaluation approach for energy system modelling frameworks

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