Abstract
Investment costs are significantly decreasing along the years for some electricity generation technologies (such as wind or solar), making them an attractive option for generation capacity expansion. Nevertheless, most of the available capacity expansion models, either minimizing cost or maximizing profit, annualize investment costs exogenously (usually distributing them uniformly along the plant life span) or consider overall investment costs, but without an adequate representation of residual value. Both approaches are misleading if investment cost decrease along the years. This paper introduces a cost minimization model for capacity expansion planning that considers overall investment costs, with a coherent representation of the residual value. This method-ology distributes endogenously the cost recovery along the years, in an optimal way. The presented case study results indicate that uniform annualization may misestimate optimal investment and it is not the most adequate option in this context. This approach opens the possibility of a deeper analysis of the optimal recovery cost path, improving planning of any electrical assets in minimization-cost planning models or market-equilibrium-based ones.
Original language | English |
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Title of host publication | 2021 IEEE Madrid PowerTech |
Publisher | Institute of Electrical and Electronics Engineers |
ISBN (Electronic) | 9781665435970 |
DOIs | |
Publication status | Published - 28 Jun 2021 |
Externally published | Yes |
Event | 2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021 |
Conference
Conference | 2021 IEEE Madrid PowerTech, PowerTech 2021 |
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Country/Territory | Spain |
City | Madrid |
Period | 28/06/21 → 2/07/21 |
Keywords
- costing
- generation power planning
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment