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Investigation of climate, buildingcommunity scale and buildingtype impacts on the peer-to-peersolar power sharing potential
Dalarna University, School of Information and Engineering.
2021 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Due to environmental issues and decreasing fossil fuel resources, the use of renewableenergy resources, such as solar and wind energy, is increasing in today's world. Peer-to-peer(P2P) energy sharing technologies are the solar industry's future. This is because they allowhouseholds in the community to share energy and benefit from cheaper and clean energy atany time of day. Moreover, they offer an alternative to costly grid reinforcements.The thesis aims to investigate the climate, building community scale and building typeimpacts on P2P solar power sharing performances. For this study, different weatherconditions are selected in Sweden (Stockholm), Italy (Rome), and India (Bengaluru) toevaluate the energy sharing potential. Moreover, all the selected buildings are grouped toform communities and the energy sharing potential for buildings inside a community isevaluated. In addition, the impact of energy sharing is studied in different types of buildingssuch as villas (single houses), multifamily and commercials.To achieve this goal, the study follows six basic steps. Firstly, a set of real buildings areselected, and their dimensions are measured using the Google Earth platform. Secondly, theconfiguration of design alternatives is examined, and a 3D model is developed in a formatthat can be imported into the energy performance simulation software. In the third step,power demand is calculated for each building considering the daily consumption of theelectric devices, such as lamps, cooking stoves, refrigerators, washing machines, dryers, etc.In the fourth step, an energy performance simulation software, i.e., the energy matchingtool, is used to reveal the photovoltaic (PV) power production results. This platform needsinput files such as building model, PV area of building, surrounding area, and weather datafile. It will give outputs as hourly PV production and economic analysis. The fifth step is toevaluate the energy sharing potential in different communities by using building demand andPV power supply data. Supply is subtracted from demand using Excel, where negative valuesof energy (which indicates surplus PV power production) can be shared in the community.Furthermore, the percentage ratio of power sharing in each community is calculated.The results of this study are obtained in the last step. The results are calculated in the formof how much energy can be shared in the community considering the different factorsmentioned above. The results of the simulation reflect that more power can be shared if thecommunity consists of 60% villa, 30% multifamily and 10% commercial buildings.Moreover, the findings also in

Place, publisher, year, edition, pages
2021.
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:du-39527OAI: oai:DiVA.org:du-39527DiVA, id: diva2:1638046
Subject / course
Energy Technology
Available from: 2022-02-15 Created: 2022-02-15

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf