Pricing the risk due to weather conditions in small variable renewable energy projects
Risk analysis based on weather variables allows estimating the premium even if the insurance company lacks information about past RE projects with similar characteristics. The proposed methodology could be used to price the risk of a given VRE project when only weather series and technology features...
- Autores:
-
Mosquera López, Stephania
Uribe, Jorge M.
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_1864
- Fecha de publicación:
- 2022
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/31973
- Acceso en línea:
- https://hdl.handle.net/10784/31973
- Palabra clave:
- Rights
- License
- openAccess
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2022-12-05T16:27:58Z2023-02-192022-12-05T16:27:58Zhttps://hdl.handle.net/10784/31973reponame: Repositorio Institucional Universidad EAFITinstname: Universidad EAFITRisk analysis based on weather variables allows estimating the premium even if the insurance company lacks information about past RE projects with similar characteristics. The proposed methodology could be used to price the risk of a given VRE project when only weather series and technology features are available and, therefore, is of interest as well for banks and investors in the energy sector. This study illustrates the proposed technique with solar panels, where the modeling of solar radiation (i.e., its natural input for electricity generation) allows them to find an optimal way to measure the risk of generation, particularly associated with weather factors’’engUniversidad EAFITNota de Política;9openAccessAcceso abiertohttp://purl.org/coar/access_right/c_abf2Pricing the risk due to weather conditions in small variable renewable energy projectsinfo:eu-repo/semantics/otherotherNoticiaacceptedVersionhttp://purl.org/redcol/resource_type/ARTOTRhttp://purl.org/coar/resource_type/c_1864Escuela de Finanzas, Economía y GobiernoMosquera López, Stephaniae6544dce-bedc-4782-9734-ffd7297a98a1-1Uribe, Jorge M.4c66a4d1-74fb-4947-9789-5975cdd717ef-1EAFIT UniversityUniversitat Oberta de Catalunya, ESADE Business SchoolValor Público EAFITLICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/f76b6313-d4c0-4388-8077-bda2856f91e0/download76025f86b095439b7ac65b367055d40cMD51ORIGINALPlicy Note N9.pdfPlicy Note N9.pdfPolicy Note 9application/pdf548075https://repository.eafit.edu.co/bitstreams/2d4e588b-d0a8-4d67-b4f1-065f94be635a/download3f7b7e0a372c25f45ae239a912d3f15fMD5210784/31973oai:repository.eafit.edu.co:10784/319732024-12-04 11:50:16.736open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
| dc.title.eng.fl_str_mv |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| title |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| spellingShingle |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| title_short |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| title_full |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| title_fullStr |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| title_full_unstemmed |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| title_sort |
Pricing the risk due to weather conditions in small variable renewable energy projects |
| dc.creator.fl_str_mv |
Mosquera López, Stephania Uribe, Jorge M. |
| dc.contributor.department.none.fl_str_mv |
Escuela de Finanzas, Economía y Gobierno |
| dc.contributor.author.none.fl_str_mv |
Mosquera López, Stephania Uribe, Jorge M. |
| dc.contributor.affiliation.spa.fl_str_mv |
EAFIT University Universitat Oberta de Catalunya, ESADE Business School |
| dc.contributor.researchgroup.none.fl_str_mv |
Valor Público EAFIT |
| description |
Risk analysis based on weather variables allows estimating the premium even if the insurance company lacks information about past RE projects with similar characteristics. The proposed methodology could be used to price the risk of a given VRE project when only weather series and technology features are available and, therefore, is of interest as well for banks and investors in the energy sector. This study illustrates the proposed technique with solar panels, where the modeling of solar radiation (i.e., its natural input for electricity generation) allows them to find an optimal way to measure the risk of generation, particularly associated with weather factors’’ |
| publishDate |
2022 |
| dc.date.available.none.fl_str_mv |
2022-12-05T16:27:58Z |
| dc.date.accessioned.none.fl_str_mv |
2022-12-05T16:27:58Z |
| dc.date.issued.none.fl_str_mv |
2023-02-19 |
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info:eu-repo/semantics/other other |
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Noticia |
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acceptedVersion |
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http://purl.org/redcol/resource_type/ARTOTR |
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http://purl.org/coar/resource_type/c_1864 |
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http://purl.org/coar/resource_type/c_1864 |
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https://hdl.handle.net/10784/31973 |
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reponame: Repositorio Institucional Universidad EAFIT |
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instname: Universidad EAFIT |
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https://hdl.handle.net/10784/31973 |
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reponame: Repositorio Institucional Universidad EAFIT instname: Universidad EAFIT |
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eng |
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eng |
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Nota de Política;9 |
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openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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Acceso abierto |
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Universidad EAFIT |
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