Evaluation of a Solar Power Plant at Longyearbyen

The world faces one of the greatest challenges by changing the economy in a direction where higher resource productivity and lower greenhouse gas emis- sions are the main focus. The most prominent solution to reduce green house gases is a greater utilisation of renewable energy sources. With a rapid...

Full description

Bibliographic Details
Main Author: Enoksen, Thomas Oxlund
Format: Master Thesis
Language:English
Published: UiT The Arctic University of Norway 2020
Subjects:
Online Access:https://hdl.handle.net/10037/19116
id ftunivtroemsoe:oai:munin.uit.no:10037/19116
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/19116 2023-05-15T15:02:06+02:00 Evaluation of a Solar Power Plant at Longyearbyen Enoksen, Thomas Oxlund 2020-06-15 https://hdl.handle.net/10037/19116 eng eng UiT The Arctic University of Norway UiT Norges arktiske universitet https://hdl.handle.net/10037/19116 openAccess Copyright 2020 The Author(s) VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410 VDP::Mathematics and natural science: 400::Mathematics: 410 EOM-3901 Master thesis Mastergradsoppgave 2020 ftunivtroemsoe 2021-06-25T17:57:37Z The world faces one of the greatest challenges by changing the economy in a direction where higher resource productivity and lower greenhouse gas emis- sions are the main focus. The most prominent solution to reduce green house gases is a greater utilisation of renewable energy sources. With a rapid tech- nological advancement, solar energy is now one of the least expensive forms of power in two thirds of the world (Olson, 2019). The main aim of the thesis is to find the solar energy potential at Spitsbergen by creating a model of a solar plant at Longyearbyen in PVsyst and simulate it. The model is a replica of the solar plant at Svalbard Airport. If the simulations of the plant are accurate with the power yield of the solar plant, the model in PVsyst is confirmed. The model can be used for finding areas of improvement on the plant, and quantify these areas. Further, to find the best use of solar energy in the Arctic, simulations of an optimal generic 10 kW system for standard and bifacial modules with meteorological data from Longyearbyen are run. A similar model is run with meteorological data in Munich to see how the results compare with locations in another climate. This part of the study also includes data from solar modules at the University of Tromsø for comparison. The results from simulations of the model show a higher total power pro- duction than the power yielded from the Airport in 2019 of 9,6%, with mul- tiple areas for improvements on the plant, e. g—oversized inverters and snow cover. Results from simulations of the generic 10 kW system show that the benefits of bifacial modules are more prominent in an Arctic climate than in Munich. Master Thesis Arctic Longyearbyen Svalbard Spitsbergen University of Tromsø University of Tromsø: Munin Open Research Archive Arctic Longyearbyen Svalbard Tromsø
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410
VDP::Mathematics and natural science: 400::Mathematics: 410
EOM-3901
spellingShingle VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410
VDP::Mathematics and natural science: 400::Mathematics: 410
EOM-3901
Enoksen, Thomas Oxlund
Evaluation of a Solar Power Plant at Longyearbyen
topic_facet VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410
VDP::Mathematics and natural science: 400::Mathematics: 410
EOM-3901
description The world faces one of the greatest challenges by changing the economy in a direction where higher resource productivity and lower greenhouse gas emis- sions are the main focus. The most prominent solution to reduce green house gases is a greater utilisation of renewable energy sources. With a rapid tech- nological advancement, solar energy is now one of the least expensive forms of power in two thirds of the world (Olson, 2019). The main aim of the thesis is to find the solar energy potential at Spitsbergen by creating a model of a solar plant at Longyearbyen in PVsyst and simulate it. The model is a replica of the solar plant at Svalbard Airport. If the simulations of the plant are accurate with the power yield of the solar plant, the model in PVsyst is confirmed. The model can be used for finding areas of improvement on the plant, and quantify these areas. Further, to find the best use of solar energy in the Arctic, simulations of an optimal generic 10 kW system for standard and bifacial modules with meteorological data from Longyearbyen are run. A similar model is run with meteorological data in Munich to see how the results compare with locations in another climate. This part of the study also includes data from solar modules at the University of Tromsø for comparison. The results from simulations of the model show a higher total power pro- duction than the power yielded from the Airport in 2019 of 9,6%, with mul- tiple areas for improvements on the plant, e. g—oversized inverters and snow cover. Results from simulations of the generic 10 kW system show that the benefits of bifacial modules are more prominent in an Arctic climate than in Munich.
format Master Thesis
author Enoksen, Thomas Oxlund
author_facet Enoksen, Thomas Oxlund
author_sort Enoksen, Thomas Oxlund
title Evaluation of a Solar Power Plant at Longyearbyen
title_short Evaluation of a Solar Power Plant at Longyearbyen
title_full Evaluation of a Solar Power Plant at Longyearbyen
title_fullStr Evaluation of a Solar Power Plant at Longyearbyen
title_full_unstemmed Evaluation of a Solar Power Plant at Longyearbyen
title_sort evaluation of a solar power plant at longyearbyen
publisher UiT The Arctic University of Norway
publishDate 2020
url https://hdl.handle.net/10037/19116
geographic Arctic
Longyearbyen
Svalbard
Tromsø
geographic_facet Arctic
Longyearbyen
Svalbard
Tromsø
genre Arctic
Longyearbyen
Svalbard
Spitsbergen
University of Tromsø
genre_facet Arctic
Longyearbyen
Svalbard
Spitsbergen
University of Tromsø
op_relation https://hdl.handle.net/10037/19116
op_rights openAccess
Copyright 2020 The Author(s)
_version_ 1766334094669512704