Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Recolector de Cienci...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DYNA INGENIERIA E INDUSTRIA
Article . 2019 . Peer-reviewed
Data sources: Crossref
versions View all 2 versions
addClaim

LEVELIZED COST OF ELECTRICITY: KEY DRIVERS AND VALUATION METHODS

Authors: LUIS MARIA ABADIE MUÑOZ; JOSE MANUEL CHAMORRO GOMEZ;

LEVELIZED COST OF ELECTRICITY: KEY DRIVERS AND VALUATION METHODS

Abstract

The aim of this paper is to propose an improvement over traditional approaches to the levelized cost of electricity (LCOE). Basically there are two methods available. The first one considers a yearly timeframe, so it yields a yearly estimate of the LCOE. The second one, instead, keeps the whole lifetime of the facility when computing its LCOE; it thus results in a life-cycle estimate. This said, they share some features, for example, their reliance on the net-present-value methodology and the scant use of market prices. Unfortunately, they also stumble on some common issues, such as the proper way to account for risk. The focus here falls on two power generating technologies from renewable sources, namely wind and solar. Section 1 gives a quick overview of their widespread deployment across the world. Section 2 provides a thorough review of the two approaches to the LCOE at a theoretical level. It also includes some remarks about their underlying assumptions and pinpoints some of their limitations. Section 3 shows numerical estimates of LCOE for different technologies and countries following the two approaches. It also looks at recent trends of LCOE estimates over time. Then Section 4 presents a proposal for an improved LCOE, one that uses public information available on the markets and deals with the discounting of risk more properly. There is also a numerical application to a standard wind park. Section 5 concludes. Key Words: Electricity generation, renewable energies, solar farms, wind farms, investment valuation, futures markets

Keywords

Electricity generation, investment valuation, renewable energies, wind farms, solar farms, futures markets

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!