Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates
In the last years, a significant interest in research in stand-alone (SA) and grid-connected (GC) photovoltaic (PV)-wind hybrid renewable energy systems (HRES) is observed for their complementary in the satisfaction of the electrical energy demand in many sectors. However, direct comparisons between...
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Online Access: | https://hdl.handle.net/11587/441242 https://doi.org/10.1016/j.apenergy.2020.115507 |
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ftunivsalento:oai:iris.unisalento.it:11587/441242 2024-04-14T08:10:04+00:00 Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates Mazzeo, Domenico Matera, Nicoletta De Luca, Pierangelo Baglivo, Cristina Maria Congedo, Paolo Oliveti, Giuseppe Mazzeo, Domenico Matera, Nicoletta De Luca, Pierangelo Baglivo, Cristina Maria Congedo, Paolo Oliveti, Giuseppe 2020 ELETTRONICO https://hdl.handle.net/11587/441242 https://doi.org/10.1016/j.apenergy.2020.115507 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000570977000001 volume:276 firstpage:1 lastpage:46 numberofpages:46 journal:APPLIED ENERGY https://hdl.handle.net/11587/441242 doi:10.1016/j.apenergy.2020.115507 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85089079131 https://doi.org/10.1016/j.apenergy.2020.115507 info:eu-repo/semantics/restrictedAccess Hybrid renewable systems Worldwide mapping Koppen classification Optimization Stand-alone Grid-connected info:eu-repo/semantics/article 2020 ftunivsalento https://doi.org/10.1016/j.apenergy.2020.115507 2024-03-21T18:17:03Z In the last years, a significant interest in research in stand-alone (SA) and grid-connected (GC) photovoltaic (PV)-wind hybrid renewable energy systems (HRES) is observed for their complementary in the satisfaction of the electrical energy demand in many sectors. However, direct comparisons between the techno-economic performance of two system modes under the same operating conditions are rarely carried out. Additionally, most of the researches are limited to specific weather conditions. This work aims to bridge the lack of this type of investigations providing a worldwide techno-economic mapping and optimization of SA and GC PV-wind HRES to supply the electrical demand of an office building district. For this purpose, energy and economic optimization problems were formulated to find the optimal SA and GC systems worldwide among 343 HRES system power configurations located in 48 different localities, uniformly divided in the sub-group of the Koppen classification. The energy reliability and economic profitability of optimal systems were geographically mapped worldwide. In general, the energy or economic optimizations of SA HRES do not lead to highly profitable systems; instead, feed-in-tariff to sell the energy in excess assures viable GC HRES in many localities. However, economically optimal SA and GC HRES, respectively, do not everywhere comply with the threshold value of 70% of the satisfied energy required by the load and are characterized by a high level of energy exchanged with the grid. The study highlighted that the most suitable climate conditions to install a SA HRES are: (i) Toamasina (Madagascar) from an energy point of view, with 76% of load satisfied and 76% of the energy generated utilized to supply the load; (ii) Cambridge Bay (Canada) from an economic point of view, with 11.1% of the capital cost recovered each year; instead, the most suitable climate conditions to install a GC HRES are: (iii) New Delhi (India) from an energy point of view, with 48% of energy exchanged with the grid per each ... Article in Journal/Newspaper Cambridge Bay Università del Salento: CINECA IRIS Canada Cambridge Bay ENVELOPE(-105.130,-105.130,69.037,69.037) Geiger ENVELOPE(-62.900,-62.900,-64.300,-64.300) Koppen ENVELOPE(13.327,13.327,66.509,66.509) Applied Energy 276 115507 |
institution |
Open Polar |
collection |
Università del Salento: CINECA IRIS |
op_collection_id |
ftunivsalento |
language |
English |
topic |
Hybrid renewable systems Worldwide mapping Koppen classification Optimization Stand-alone Grid-connected |
spellingShingle |
Hybrid renewable systems Worldwide mapping Koppen classification Optimization Stand-alone Grid-connected Mazzeo, Domenico Matera, Nicoletta De Luca, Pierangelo Baglivo, Cristina Maria Congedo, Paolo Oliveti, Giuseppe Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates |
topic_facet |
Hybrid renewable systems Worldwide mapping Koppen classification Optimization Stand-alone Grid-connected |
description |
In the last years, a significant interest in research in stand-alone (SA) and grid-connected (GC) photovoltaic (PV)-wind hybrid renewable energy systems (HRES) is observed for their complementary in the satisfaction of the electrical energy demand in many sectors. However, direct comparisons between the techno-economic performance of two system modes under the same operating conditions are rarely carried out. Additionally, most of the researches are limited to specific weather conditions. This work aims to bridge the lack of this type of investigations providing a worldwide techno-economic mapping and optimization of SA and GC PV-wind HRES to supply the electrical demand of an office building district. For this purpose, energy and economic optimization problems were formulated to find the optimal SA and GC systems worldwide among 343 HRES system power configurations located in 48 different localities, uniformly divided in the sub-group of the Koppen classification. The energy reliability and economic profitability of optimal systems were geographically mapped worldwide. In general, the energy or economic optimizations of SA HRES do not lead to highly profitable systems; instead, feed-in-tariff to sell the energy in excess assures viable GC HRES in many localities. However, economically optimal SA and GC HRES, respectively, do not everywhere comply with the threshold value of 70% of the satisfied energy required by the load and are characterized by a high level of energy exchanged with the grid. The study highlighted that the most suitable climate conditions to install a SA HRES are: (i) Toamasina (Madagascar) from an energy point of view, with 76% of load satisfied and 76% of the energy generated utilized to supply the load; (ii) Cambridge Bay (Canada) from an economic point of view, with 11.1% of the capital cost recovered each year; instead, the most suitable climate conditions to install a GC HRES are: (iii) New Delhi (India) from an energy point of view, with 48% of energy exchanged with the grid per each ... |
author2 |
Mazzeo, Domenico Matera, Nicoletta De Luca, Pierangelo Baglivo, Cristina Maria Congedo, Paolo Oliveti, Giuseppe |
format |
Article in Journal/Newspaper |
author |
Mazzeo, Domenico Matera, Nicoletta De Luca, Pierangelo Baglivo, Cristina Maria Congedo, Paolo Oliveti, Giuseppe |
author_facet |
Mazzeo, Domenico Matera, Nicoletta De Luca, Pierangelo Baglivo, Cristina Maria Congedo, Paolo Oliveti, Giuseppe |
author_sort |
Mazzeo, Domenico |
title |
Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates |
title_short |
Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates |
title_full |
Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates |
title_fullStr |
Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates |
title_full_unstemmed |
Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates |
title_sort |
worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across köppen-geiger climates |
publishDate |
2020 |
url |
https://hdl.handle.net/11587/441242 https://doi.org/10.1016/j.apenergy.2020.115507 |
long_lat |
ENVELOPE(-105.130,-105.130,69.037,69.037) ENVELOPE(-62.900,-62.900,-64.300,-64.300) ENVELOPE(13.327,13.327,66.509,66.509) |
geographic |
Canada Cambridge Bay Geiger Koppen |
geographic_facet |
Canada Cambridge Bay Geiger Koppen |
genre |
Cambridge Bay |
genre_facet |
Cambridge Bay |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000570977000001 volume:276 firstpage:1 lastpage:46 numberofpages:46 journal:APPLIED ENERGY https://hdl.handle.net/11587/441242 doi:10.1016/j.apenergy.2020.115507 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85089079131 https://doi.org/10.1016/j.apenergy.2020.115507 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1016/j.apenergy.2020.115507 |
container_title |
Applied Energy |
container_volume |
276 |
container_start_page |
115507 |
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1796307549266378752 |