Reliability options: Regulatory recommendations for the next generation of capacity remuneration mechanisms
Paolo Mastropietro,
Pablo Rodilla,
Michel Rivier and
Carlos Batlle
Energy Policy, 2024, vol. 185, issue C
Abstract:
The policy and regulatory debate raised after the 2022 energy crisis has reaffirmed capacity remuneration mechanisms (CRMs) as a key element of the electricity market design required to drive the much-needed energy transition. Reliability options are a CRM product that effectively addresses the market failures impacting security of supply, while minimising the interference with the different segments of the energy market. This article provides a comprehensive and detailed assessment of the design elements of reliability options and advances recommendations that can be useful for regulators who may consider introducing this scheme in their electricity markets. The analysis benefits from lessons learned in those power sectors where reliability options have been implemented (Colombia, ISO New England, Ireland, Italy, and Belgium). This allows to narrow the gap between the theoretical debate and the real-world implementation of these mechanisms.
Keywords: Reliability options; Capacity mechanisms; Capacity markets; Resource adequacy; Strike price; Financial hedge (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030142152300544X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:185:y:2024:i:c:s030142152300544x
DOI: 10.1016/j.enpol.2023.113959
Access Statistics for this article
Energy Policy is currently edited by N. France
More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().