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dc.contributor.author
Chatzigeorgiou, Eleni
en
dc.date.accessioned
2022-06-14T10:10:27Z
dc.date.available
2022-06-14T10:10:27Z
dc.date.issued
2022-06-14
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29966
dc.rights
Default License
dc.subject
Solar cadastre
en
dc.subject
Solar energy
en
dc.title
Solar Cadastre of building stock for assessment of near-zero energy districts
en
heal.type
masterThesis
en_US
heal.dateAvailable
2022-05-23
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Energy Building Design
en_US
heal.publicationDate
2021-12-02
heal.abstract
The present study deals with the subject of solar potential estimation for a selected urban area in Thessaloniki, Greece. Solar potential mapping has been a subject of interest in the past decades as a result of the growing increase in solar energy conversion systems demand globally. A main drive behind this increase in demand in Greece is the recently imposed European legislation regarding the minimization of the total energy consumption in the building sector, which was proven to be among the largest energy consumers. The legislation dictates that all buildings constructed from the beginning of 2021 onwards need to classify as nearly-zero energy buildings, meaning that their energy requirements need to be minimized and the remaining needs have to be covered by renewable energy to the highest possible extent. Solar energy presents as the most readily available solution to this problem, since it is abundant and easily convertible, especially in the context of Greece. Systems that can utilize solar energy for the production of heat or electricity have been consistently improving regarding their efficiency and applicability, recently presenting the opportunity to be used as building integrated systems, in addition to building applied solutions. For the correct selection and dimensioning of a solar energy conversion system, a dynamic solar potential estimation through solar mapping is essential and therefore included in this study. The buildings and surrounding environment of the selected area are recreated in a digital 3D environment, using the Energy3D CAD and simulation software. The model is simulated for one day every month of the year regarding the solar potential of the created surfaces and the results are presented and analyzed. Additionally, an indicative comparative analysis of the potential photovoltaic electricity production is carried out, by placing a single photovoltaic panel on each available surface of the model and trying to determine which surfaces offer the greatest electricity production potential and why. Finally, the annual solar potential of the examined area is determined, while an indicative solar map of the area is constructed. Regarding the electricity production calculations, it was concluded that horizontally placed PV panels were the most productive within the span of a year, followed by vertically placed panels on the northeast facades.
en
heal.advisorName
Martinopoulos, Georgios
el
heal.committeeMemberName
Panaras, Georgios
en
heal.committeeMemberName
Theodoridou, Ifigeneia
en
heal.academicPublisher
IHU
el
heal.academicPublisherID
ihu
en_US


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