Integration of risk and uncertainty on levelized cost of electricity calculation

Bibliographic Details
Main Author: Cunha, Jorge
Publication Date: 2019
Other Authors: Ferreira, Paula Varandas
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/70912
Summary: The electric sector is still largely dependent on non-renewable energy sources. The importance of using renewable energies is increasingly recognized all across the world yet they are not fully ready to compete with the mature and ancient technologies that use non-renewable energies. The economic characteristics of different energy technologies can be compared by using the method of levelized cost of electricity (LCOE). LCOE represents the total cost of a power plant including investment and operation and maintenance costs over the assumed life-cycle and discounted to account for the time-value of money. In this paper, an analysis of the levelized costs is proposed for two renewable technologies in Portugal: wind power and solar photovoltaic. Firstly, a deterministic value of LCOE was computed for both technologies. Secondly, recognizing the uncertainty associated with all the assumed parameters, a probabilistic risk analysis was conducted with Monte Carlo simulation to complement the analysis. The results show the high variability of the obtained LCOE values, largely influenced by the investment values and load factors.
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spelling Integration of risk and uncertainty on levelized cost of electricity calculationLevelized cost of electricity (LCOE)Probabilistic risk analysisRenewable energy sourcesThe electric sector is still largely dependent on non-renewable energy sources. The importance of using renewable energies is increasingly recognized all across the world yet they are not fully ready to compete with the mature and ancient technologies that use non-renewable energies. The economic characteristics of different energy technologies can be compared by using the method of levelized cost of electricity (LCOE). LCOE represents the total cost of a power plant including investment and operation and maintenance costs over the assumed life-cycle and discounted to account for the time-value of money. In this paper, an analysis of the levelized costs is proposed for two renewable technologies in Portugal: wind power and solar photovoltaic. Firstly, a deterministic value of LCOE was computed for both technologies. Secondly, recognizing the uncertainty associated with all the assumed parameters, a probabilistic risk analysis was conducted with Monte Carlo simulation to complement the analysis. The results show the high variability of the obtained LCOE values, largely influenced by the investment values and load factors.INCT-EN - Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção(UID/CEC/00319/2013)SpringerUniversidade do MinhoCunha, JorgeFerreira, Paula Varandas20192019-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/70912eng97833199133391876-110010.1007/978-3-319-91334-6_113https://link.springer.com/chapter/10.1007/978-3-319-91334-6_113info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:49:53Zoai:repositorium.sdum.uminho.pt:1822/70912Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:59:52.339249Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Integration of risk and uncertainty on levelized cost of electricity calculation
title Integration of risk and uncertainty on levelized cost of electricity calculation
spellingShingle Integration of risk and uncertainty on levelized cost of electricity calculation
Cunha, Jorge
Levelized cost of electricity (LCOE)
Probabilistic risk analysis
Renewable energy sources
title_short Integration of risk and uncertainty on levelized cost of electricity calculation
title_full Integration of risk and uncertainty on levelized cost of electricity calculation
title_fullStr Integration of risk and uncertainty on levelized cost of electricity calculation
title_full_unstemmed Integration of risk and uncertainty on levelized cost of electricity calculation
title_sort Integration of risk and uncertainty on levelized cost of electricity calculation
author Cunha, Jorge
author_facet Cunha, Jorge
Ferreira, Paula Varandas
author_role author
author2 Ferreira, Paula Varandas
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Cunha, Jorge
Ferreira, Paula Varandas
dc.subject.por.fl_str_mv Levelized cost of electricity (LCOE)
Probabilistic risk analysis
Renewable energy sources
topic Levelized cost of electricity (LCOE)
Probabilistic risk analysis
Renewable energy sources
description The electric sector is still largely dependent on non-renewable energy sources. The importance of using renewable energies is increasingly recognized all across the world yet they are not fully ready to compete with the mature and ancient technologies that use non-renewable energies. The economic characteristics of different energy technologies can be compared by using the method of levelized cost of electricity (LCOE). LCOE represents the total cost of a power plant including investment and operation and maintenance costs over the assumed life-cycle and discounted to account for the time-value of money. In this paper, an analysis of the levelized costs is proposed for two renewable technologies in Portugal: wind power and solar photovoltaic. Firstly, a deterministic value of LCOE was computed for both technologies. Secondly, recognizing the uncertainty associated with all the assumed parameters, a probabilistic risk analysis was conducted with Monte Carlo simulation to complement the analysis. The results show the high variability of the obtained LCOE values, largely influenced by the investment values and load factors.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/70912
url http://hdl.handle.net/1822/70912
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9783319913339
1876-1100
10.1007/978-3-319-91334-6_113
https://link.springer.com/chapter/10.1007/978-3-319-91334-6_113
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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