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...
Main Author: | |
---|---|
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 |