Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys
One of the major challenges that the energy system is facing is how 100% renewable electricity generation should be designed and controlled. So far, utility-scale solar photovoltaic (PV) parks, have dominated the international market and is expected to grow in Sweden. In order for this expansion to...
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Uppsala universitet, Institutionen för teknikvetenskaper
2019
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ndltd-UPSALLA1-oai-DiVA.org-uu-4015012020-01-10T15:44:30ZSolbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analyssweUtility-Scale Solar Guide for System and Resource Efficient Planning of PV-power parksLindberg, OskarBirging, AlfredUppsala universitet, Institutionen för teknikvetenskaperUppsala universitet, Institutionen för teknikvetenskaper2019SolcellsparksolbruksplanelnätsanalyseffektflödelokalnätkarteringGISMCAEnergy SystemsEnergisystemOne of the major challenges that the energy system is facing is how 100% renewable electricity generation should be designed and controlled. So far, utility-scale solar photovoltaic (PV) parks, have dominated the international market and is expected to grow in Sweden. In order for this expansion to thrive it needs to be done in a resource and system-efficient way. In this study, a methodology for a utility-scale solar guide (from Swedish 'Solbruksplan') is developed. This is done through electrical grid simulations and geographical analysis in order to find strategic locations for PV parks, without grid reinforcements, using Herrljunga municipality as a case study. The electrical grid is analyzed through power flow simulations and the geographical assessment is done using multi-criteria analysis (MCA) with a Boolean approach. Three different sizes of PV parks, 1, 3, and 5 MW, were simulated and assessed. The results show that 8.6% of the total area in the municipality, or 78,500 square meters per substation, is suitable for locating 1 MW PV parks. The majority of the grid’s substations (about 90%) also have enough capacity for a PV park of 1 MW. Furthermore, parts of the grid can host PV parks of 3 and 5 MW, but limited to the proximity of the urban areas. However, 3 and 5 MW PV parks are not suitable due to limited land availability in urban areas. The results highlight that a utility-scale solar guide can be used to effectively identify possible areas for PV parks, considering geography and grid capacity. Hence, it can function as a tool for utility companies, municipalities, PV companies and land-owners to find resource and system-efficient locations for PV parks. Solbruksplaner för system- och resurseffektiv utbyggnad av solelproduktionStudent thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-401501UPTEC STS, 1650-8319 ; 19048application/pdfinfo:eu-repo/semantics/openAccess |
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Others
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Solcellspark solbruksplan elnätsanalys effektflöde lokalnät kartering GIS MCA Energy Systems Energisystem |
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Solcellspark solbruksplan elnätsanalys effektflöde lokalnät kartering GIS MCA Energy Systems Energisystem Lindberg, Oskar Birging, Alfred Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys |
description |
One of the major challenges that the energy system is facing is how 100% renewable electricity generation should be designed and controlled. So far, utility-scale solar photovoltaic (PV) parks, have dominated the international market and is expected to grow in Sweden. In order for this expansion to thrive it needs to be done in a resource and system-efficient way. In this study, a methodology for a utility-scale solar guide (from Swedish 'Solbruksplan') is developed. This is done through electrical grid simulations and geographical analysis in order to find strategic locations for PV parks, without grid reinforcements, using Herrljunga municipality as a case study. The electrical grid is analyzed through power flow simulations and the geographical assessment is done using multi-criteria analysis (MCA) with a Boolean approach. Three different sizes of PV parks, 1, 3, and 5 MW, were simulated and assessed. The results show that 8.6% of the total area in the municipality, or 78,500 square meters per substation, is suitable for locating 1 MW PV parks. The majority of the grid’s substations (about 90%) also have enough capacity for a PV park of 1 MW. Furthermore, parts of the grid can host PV parks of 3 and 5 MW, but limited to the proximity of the urban areas. However, 3 and 5 MW PV parks are not suitable due to limited land availability in urban areas. The results highlight that a utility-scale solar guide can be used to effectively identify possible areas for PV parks, considering geography and grid capacity. Hence, it can function as a tool for utility companies, municipalities, PV companies and land-owners to find resource and system-efficient locations for PV parks. === Solbruksplaner för system- och resurseffektiv utbyggnad av solelproduktion |
author |
Lindberg, Oskar Birging, Alfred |
author_facet |
Lindberg, Oskar Birging, Alfred |
author_sort |
Lindberg, Oskar |
title |
Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys |
title_short |
Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys |
title_full |
Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys |
title_fullStr |
Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys |
title_full_unstemmed |
Solbruksplan för effektiv utbyggnad av solcellsparker : Kartering genom elnätssimulering och geografisk analys |
title_sort |
solbruksplan för effektiv utbyggnad av solcellsparker : kartering genom elnätssimulering och geografisk analys |
publisher |
Uppsala universitet, Institutionen för teknikvetenskaper |
publishDate |
2019 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-401501 |
work_keys_str_mv |
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