Integration of risk and uncertainty on levelized cost of electricity calculation
Main Author: | |
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Publication Date: | 2019 |
Other Authors: | |
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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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 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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Springer |
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Springer |
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