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Towards a 100% Renewable Energy Electricity Generation System in Sweden
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science. Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong. (Electric Power Engineering Group)ORCID iD: 0000-0002-8852-9747
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science. (Electric Power Engineering Group)ORCID iD: 0000-0003-4074-9529
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science. (Electric Power Engineering Group)ORCID iD: 0000-0002-4004-0352
2021 (English)In: Renewable energy, ISSN 0960-1481, E-ISSN 1879-0682, Vol. 171, p. 812-824Article in journal (Refereed) Published
Abstract [en]

Swedish government’s target is to have 100 per cent renewable electricity production by 2040. Currently, hydropower contributes the majority of renewable electricity generation of the country. The wind power capacity has increased significantly in the past decade. In this paper, practical data is used to study the possibility of reaching the 100% renewable electricity generation goal by replacing existing thermal generations with wind power generations. It is found that the Swedish electricity generation system can reach 100% renewable by tripling the existing wind power capacity combined with the existing hydropower in the country. Based on current growth rate of wind power installation, the goal could be reached within 20 years. Hourly simulation shows that 100 % renewable energy generation system composed by wind power and hydropower satisfy hourly operation requirements.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 171, p. 812-824
Keywords [en]
100% renewable energy, wind power, hydropower, energy storage
National Category
Energy Systems
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-83183DOI: 10.1016/j.renene.2021.02.153ISI: 000637526200009Scopus ID: 2-s2.0-85102071517OAI: oai:DiVA.org:ltu-83183DiVA, id: diva2:1534525
Funder
Swedish Research Council Formas, 942-2016-118
Note

Validerad;2021;Nivå 2;2021-04-19 (alebob)

Available from: 2021-03-05 Created: 2021-03-05 Last updated: 2024-04-23Bibliographically approved

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Zhong, JinBollen, MathRönnberg, Sarah

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