Renewable energy support policy evaluation: The role of long-term uncertainty in market modelling
Ian J. Scott,
Audun Botterud,
Pedro M.S. Carvalho and
Carlos A. Santos Silva
Applied Energy, 2020, vol. 278, issue C, No S0306261920311430
Abstract:
Policy makers are tasked with selecting, designing, and implementing policies to support the transition to a sustainable power system. As part of the task, they often turn to models to quantify and compare the options available to them. In this work, we investigate the importance of the approach to representing long-term uncertainty in the modelling used to evaluate different decarbonisation or renewable support policies. We compare six different policies options; a cap on CO2 emissions (as with a cap and trade scheme), a CO2 price, a renewable capacity target, a green certificates scheme, a renewable generation subsidy, and a renewable capital grant.
Keywords: Renewable energy policy; Uncertainty; Electricity market modelling; Generation expansion planning; Quantities vs. prices (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261920311430
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:appene:v:278:y:2020:i:c:s0306261920311430
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2020.115643
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().