Challenges and opportunities of assessing renewable energy projects from open data

The ENIAN start-up has a renewable energy project database with key metrics collected from open sources. ENIAN’s aim is to use this data to feed a data-driven mechanism (REPSCORE) to assess renewable energy projects. It was reviewed the ENIAN’s database, focusing on the solar PV technology. The data...

Descripción completa

Detalles Bibliográficos
Autor: Torres Valencia, Juan Guillermo
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2017
País:Chile
OAI Identifier:oai:repositorio.anid.cl:10533/246355
Acceso en línea:https://hdl.handle.net/10533/246355
Access Level:acceso abierto
Palabra clave:Ingeniería y Tecnología
id CL_2cdd734ab282a49dc08795f35d2ed1ef
oai_identifier_str oai:repositorio.anid.cl:10533/246355
network_acronym_str CL
network_name_str Chile
repository_id_str
dc.title.es_CL.fl_str_mv Challenges and opportunities of assessing renewable energy projects from open data
title Challenges and opportunities of assessing renewable energy projects from open data
spellingShingle Challenges and opportunities of assessing renewable energy projects from open data
Torres Valencia, Juan Guillermo
Ingeniería y Tecnología
title_short Challenges and opportunities of assessing renewable energy projects from open data
title_full Challenges and opportunities of assessing renewable energy projects from open data
title_fullStr Challenges and opportunities of assessing renewable energy projects from open data
title_full_unstemmed Challenges and opportunities of assessing renewable energy projects from open data
title_sort Challenges and opportunities of assessing renewable energy projects from open data
dc.creator.none.fl_str_mv Torres Valencia, Juan Guillermo
author Torres Valencia, Juan Guillermo
author_facet Torres Valencia, Juan Guillermo
author_role author
dc.contributor.advisor.none.fl_str_mv Friedrich, Daniel
dc.contributor.institution.es_CL.fl_str_mv UNIVERSITY OF EDINBURGH
dc.subject.oecd1n.es_CL.fl_str_mv Ingeniería y Tecnología
topic Ingeniería y Tecnología
description The ENIAN start-up has a renewable energy project database with key metrics collected from open sources. ENIAN’s aim is to use this data to feed a data-driven mechanism (REPSCORE) to assess renewable energy projects. It was reviewed the ENIAN’s database, focusing on the solar PV technology. The dataset was analysed and manually cleaned to fit a linear regression model to predict the unitary cost (specific capital cost) of a project based on three predictors: country, completion year and stage of development. The unitary cost was used to estimate the LCOE (levelized cost of electricity) of a project, to feed REPSCORE. The study was narrowed to South American projects, and the unitary cost and LCOE estimation were focused on the country of Chile. The results show that commercial information is often missing (over 30%), and almost every unusual value needs deep revision before fitting the model. Automatic cleaning of atypical values was not successful. The predictive performance of the model shows a prediction interval of ± 40% or greater predicting the unitary costs beyond 2017. The LCOE prediction is consistent with this uncertainty. Further research can be done to improve the model: add more predictors, consider the data quality in the model, and use imputation methods to recover missing data. Finally, adding more metrics to the ENIAN’s dataset should improve their usefulness.
publishDate 2017
dc.date.issued.es_CL.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-10-08T20:52:54Z
2022-08-16T18:09:43Z
dc.date.available.none.fl_str_mv 2020-10-08T20:52:54Z
2022-08-16T18:09:43Z
dc.date.embargo.es_CL.fl_str_mv info:eu-repo/date/embargoEnd/2022-03-06
dc.type.driver.es_CL.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.openaire.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.tesis.none.fl_str_mv Tesis
format masterThesis
status_str publishedVersion
dc.identifier.folio.es_CL.fl_str_mv 73171637
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10533/246355
identifier_str_mv 73171637
url https://hdl.handle.net/10533/246355
dc.relation.none.fl_str_mv instname: Conicyt
reponame: Repositorio Digital RI2.0
dc.relation.projectid.es_CL.fl_str_mv info:eu-repo/grantAgreement//73171637
dc.relation.set.none.fl_str_mv info:eu-repo/semantics/dataset/hdl.handle.net/10533/93488
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Chile
dc.rights.driver.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Chile
http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
eu_rights_str_mv openAccess
bitstream.url.fl_str_mv https://repositorio.anid.cl/bitstreams/21c0652f-64ff-4a66-b6e7-6287e64bbd72/download
https://repositorio.anid.cl/bitstreams/00a34185-2a8b-4de7-95c7-be03fcc4009c/download
https://repositorio.anid.cl/bitstreams/51d74c7e-87ac-4733-b16f-d5e7503b0a6b/download
https://repositorio.anid.cl/bitstreams/06e571c1-d066-4c45-926a-d4f2273c7a1a/download
https://repositorio.anid.cl/bitstreams/6a96f246-af40-4808-aa03-ca9ee91a28cb/download
bitstream.checksum.fl_str_mv 0899134960fb57974ec3e7cf905cc8f1
593a6e7305c66c56041a9f9e15a649c1
f97bcfdf58f3e17b5cec231112dab5b1
cbad3218f09b3ca696e06a34b97d59f5
9893842ef303228b5e24687dc6131630
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio ANID
repository.mail.fl_str_mv aletelier@anid.cl
_version_ 1843518727605190656
spelling UNIVERSITY OF EDINBURGHTorres Valencia, Juan Guillermo2017https://hdl.handle.net/10533/246355http://purl.org/coar/access_right/c_abf2Ingeniería y TecnologíaChallenges and opportunities of assessing renewable energy projects from open dataFriedrich, DanielUNIVERSITY OF EDINBURGHReino UnidoTorres Valencia, Juan Guillermo2020-10-08T20:52:54Z2022-08-16T18:09:43Z2020-10-08T20:52:54Z2022-08-16T18:09:43Zinfo:eu-repo/date/embargoEnd/2022-03-062017The ENIAN start-up has a renewable energy project database with key metrics collected from open sources. ENIAN’s aim is to use this data to feed a data-driven mechanism (REPSCORE) to assess renewable energy projects. It was reviewed the ENIAN’s database, focusing on the solar PV technology. The dataset was analysed and manually cleaned to fit a linear regression model to predict the unitary cost (specific capital cost) of a project based on three predictors: country, completion year and stage of development. The unitary cost was used to estimate the LCOE (levelized cost of electricity) of a project, to feed REPSCORE. The study was narrowed to South American projects, and the unitary cost and LCOE estimation were focused on the country of Chile. The results show that commercial information is often missing (over 30%), and almost every unusual value needs deep revision before fitting the model. Automatic cleaning of atypical values was not successful. The predictive performance of the model shows a prediction interval of ± 40% or greater predicting the unitary costs beyond 2017. The LCOE prediction is consistent with this uncertainty. Further research can be done to improve the model: add more predictors, consider the data quality in the model, and use imputation methods to recover missing data. Finally, adding more metrics to the ENIAN’s dataset should improve their usefulness.Acuerdo de confidencialidad firmado con la startup ENIAN Ltd (5 años a partir de 2017-03-06)73171637https://hdl.handle.net/10533/246355instname: Conicytreponame: Repositorio Digital RI2.0info:eu-repo/grantAgreement//73171637info:eu-repo/semantics/dataset/hdl.handle.net/10533/93488Attribution-NonCommercial-NoDerivs 3.0 Chileinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/Ingeniería y TecnologíaChallenges and opportunities of assessing renewable energy projects from open datainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/publishedVersionTesisTesishttps://hdl.handle.net/10533/246355906de3fa-8178-4311-921b-be7759cbfb0fvirtual::48753-1906de3fa-8178-4311-921b-be7759cbfb0fvirtual::48753-1ORIGINALS1634857 Dissertation.pdfapplication/pdf2830395https://repositorio.anid.cl/bitstreams/21c0652f-64ff-4a66-b6e7-6287e64bbd72/download0899134960fb57974ec3e7cf905cc8f1MD51LICENSElicense.txttext/plain1779https://repositorio.anid.cl/bitstreams/00a34185-2a8b-4de7-95c7-be03fcc4009c/download593a6e7305c66c56041a9f9e15a649c1MD52CC-LICENSElicense_rdfapplication/octet-stream1232https://repositorio.anid.cl/bitstreams/51d74c7e-87ac-4733-b16f-d5e7503b0a6b/downloadf97bcfdf58f3e17b5cec231112dab5b1MD53TEXTS1634857 Dissertation.pdf.txtExtracted texttext/plain174321https://repositorio.anid.cl/bitstreams/06e571c1-d066-4c45-926a-d4f2273c7a1a/downloadcbad3218f09b3ca696e06a34b97d59f5MD54THUMBNAILS1634857 Dissertation.pdf.jpgIM Thumbnailimage/jpeg3179https://repositorio.anid.cl/bitstreams/6a96f246-af40-4808-aa03-ca9ee91a28cb/download9893842ef303228b5e24687dc6131630MD5510533/246355oai:repositorio.anid.cl:10533/2463552023-07-24 10:13:05.033http://creativecommons.org/licenses/by-nc-nd/3.0/cl/info:eu-repo/semantics/embargoedAccesshttps://repositorio.anid.clRepositorio ANIDaletelier@anid.clTGljZW5jaWEgZGUgRGlzdHJpYnVjacOzbiBObyBFeGNsdXNpdmEKCkFsIGZpcm1hciB5IHByZXNlbnRhciBlc3RhIGxpY2VuY2lhICwgdXN0ZWQgKGVsIGF1dG9yKGVzKSBvIHRpdHVsYXIgZGUgZGVyZWNob3MgZGUgYXV0b3IpIGdhcmFudGl6YSBhIGxhIENvbWlzacOzbiBOYWNpb25hbCBkZSBJbnZlc3RpZ2FjacOzbiBDaWVudMOtdGljYSB5IFRlY25vbMOzZ2ljYSAoQ09OSUNZVCkgZWwgZGVyZWNobyBubyBleGNsdXNpdm8gZGUgcmVwcm9kdWNpciAsIHRyYWR1Y2lyIChjb21vIHNlIGRlZmluZSBtw6FzIGFiYWpvKSAsIHkvbyBkaXN0cmlidWlyIHN1IGRvY3VtZW50byAoaW5jbHV5ZW5kbyBlbCByZXN1bWVuKSBlbiB0b2RvIGVsIG11bmRvIGVuIGZvcm1hIGltcHJlc2EgeSBlbiBmb3JtYXRvIGVsZWN0csOzbmljbyB5IGVuIGN1YWxxdWllciBtZWRpbywgaW5jbHV5ZW5kbywgcGVybyBubyBsaW1pdGFkbyBhLCBhdWRpbyBvIHbDrWRlby4KClVzdGVkIGFjZXB0YSBxdWUgQ09OSUNZVCBwdWVkZSwgc2luIGFsdGVyYXIgc3UgY29udGVuaWRvLCBjb252ZXJ0aXJsbyBhIGN1YWxxdWllciBtZWRpbyBvIGZvcm1hdG8gcGFyYSBlbCBmaW4gZGUgbGEgY29uc2VydmFjacOzbi4KClRhbWJpw6luIGFjZXB0YSBxdWUgQ09OSUNZVCBwdWVkZSB0ZW5lciBtw6FzIGRlIHVuYSBjb3BpYSBkZSBlc3RlIGRvY3VtZW50byBwYXJhIGZpbmVzIGRlIHNlZ3VyaWRhZCwgY29waWFzIGRlIHNlZ3VyaWRhZCB5IGNvbnNlcnZhY2nDs24uCgpVc3RlZCBkZWNsYXJhIHF1ZSBlbCBkb2N1bWVudG8gZXMgdW4gdHJhYmFqbyBvcmlnaW5hbCwgeSBxdWUgdXN0ZWQgdGllbmUgZWwgZGVyZWNobyBkZSBvdG9yZ2FyIGxvcyBkZXJlY2hvcyBjb250ZW5pZG9zIGVuIGVzdGEgbGljZW5jaWEuIFRhbWJpw6luIGRlY2xhcmEgcXVlIHN1IHBldGljacOzbiBubywgYSBsbyBtZWpvciBkZSBzdSBjb25vY2ltaWVudG8sIGluZnJpbmdlIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBkZSBuYWRpZS4KClNpIGVsIGRvY3VtZW50byBjb250aWVuZSBtYXRlcmlhbGVzIGRlIGxvcyBxdWUgbm8gdGllbmVuIGRlcmVjaG9zIGRlIGF1dG9yICwgdXN0ZWQgZGVjbGFyYSBxdWUgaGEgb2J0ZW5pZG8gZWwgcGVybWlzbyBzaW4gcmVzdHJpY2Npw7NuIGRlbCBwcm9waWV0YXJpbyBkZSBsb3MgZGVyZWNob3MgcmVxdWVyaWRvcyBwb3IgZXN0YSBsaWNlbmNpYSB5IHF1ZSBlc2UgbWF0ZXJpYWwgY3V5b3MgZGVyZWNob3Mgc29uIGRlIHRlcmNlcm9zIGVzdMOhIGNsYXJhbWVudGUgaWRlbnRpZmljYWRvIHkgcmVjb25vY2lkbyBlbiBlbCB0ZXh0byBvIGNvbnRlbmlkbyBkZWwgZG9jdW1lbnRvIGVudHJlZ2Fkby4KClNJIEVMIEVOVsONTyBTRSBCQVNBIEVOIEVMIFRSQUJBSk8gUVVFIEhBIFNJRE8gUEFUUk9OQURPIE8gQVBPWUFETyBQT1IgQUxHVU5BIElOU1RJVFVDScOTTiBRVUUgTk8gU0VBIENPTklDWVQsIFVTVEVEIEFDRVBUQSBRVUUgSEEgQ1VNUExJRE8gQSBDVUFMUVVJRVIgREVSRUNITyBERSBSRVZJU0nDk04gVSBPVFJBUyBPQkxJR0FDSU9ORVMgUkVRVUVSSURBUyBQT1IgRElDSE8gQ09OVFJBVE8gTyBBQ1VFUkRPLgoKQ09OSUNZVCBpZGVudGlmaWNhcsOhIGNsYXJhbWVudGUgc3Ugbm9tYnJlKGVzKSBjb21vIGVsIGF1dG9yKGVzKSBvIHByb3BpZXRhcmlvKHMpIGRlIGxhIHByZXNlbnRhY2nDs24gLCB5IG5vIGhhcsOhIG5pbmd1bmEgYWx0ZXJhY2nDs24sIGV4Y2VwdG8gc2Vnw7puIGxvIHBlcm1pdGlkbyBwb3IgbGEgbGljZW5jaWEsIHBhcmEgc3UgcHJlc2VudGFjacOzbi4K
score 15,811543

Similares en LA Referencia