An Integrated and Iterative Multiscale Modeling Framework for Robust Capacity Expansion Planning
Author:
Funder
U.S. Department of Energy
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40518-024-00238-5.pdf
Reference41 articles.
1. Reichenberg L, Hedenus F. The error induced by using representative periods in capacity expansion models: system cost, total capacity mix and regional capacity mix. Energy Syst. 2024;15(1):215–32. https://doi.org/10.1007/s12667-022-00533-4.
2. Rosende C, Sauma E, Harrison GP. Effect of climate change on wind speed and its impact on optimal power system expansion planning: the case of Chile. Energy Econ. 2019;80:434–51. https://doi.org/10.1016/j.eneco.2019.01.012.
3. Frysztacki MM, Hagenmeyer V, Brown T. Inverse methods: how feasible are spatially low-resolved capacity expansion modelling results when disaggregated at high spatial resolution? Energy. 2023;281:128133. https://doi.org/10.1016/j.energy.2023.128133.
4. Brinkerink M, Zakeri B, Huppmann D, Glynn J, Gallachóir BÓ, Deane P. Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework. Environ Model Softw. 2022;150:105336. https://doi.org/10.1016/j.envsoft.2022.105336.
5. Boyd E. Power sector modeling 101. Washington D.C: US department of energy; 2016.
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