Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/309269 
Year of Publication: 
2023
Citation: 
[Journal:] Operations Research Forum [ISSN:] 2662-2556 [Volume:] 4 [Issue:] 2 [Article No.:] 37 [Publisher:] Springer International Publishing [Place:] Cham [Year:] 2023
Publisher: 
Springer International Publishing, Cham
Abstract: 
Much of energy economics curricula involves the study of techno-economic aspects of energy systems with an increasing focus devoted to fostering an understanding of the interactions between innovative technologies and adaptive markets. As the interplay of these dynamics and their impacts on market equilibria and outcomes is quite complex, optimization models are well-suited to facilitate their study. This paper presents two exemplary model approaches and associated case studies, which can be employed to study market developments driving long-term adaptations in the portfolio of power-generation assets as well as scheduling problems of individual plant owners with a focus on assessing the impact of changing market conditions on the profitability of investments. The combination of these two modelling approaches constitutes an innovative means of facilitating students' understanding of how individual decisions of different market stakeholders lead to welfare-maximizing market equilibria under the assumption of perfect competition. The models are discussed along with the experiences acquired employing them in various forms as project assignments. In summary, the integration of modelling exercises and assignments into the curriculum of energy economics courses has proven to be a practical means of reinforcing and broadening lecture material that is both interesting and rewarding for students.
Subjects: 
Energy modelling
Electricity markets
Peak load pricing
Storage optimization
Energy economics
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
Document Version: 
Published Version

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