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1.6 Million transactions replicate distributed PV market slowdown by COVID-19 lockdown
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Univ Tokyo, Ctr Spatial Informat Sci, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-0300-0762
Univ Tokyo, Ctr Spatial Informat Sci, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan..
Int Inst Appl Syst Anal IIASA, Forestry Program, Schlosspl 1, A-2361 Laxenburg, Austria..
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2021 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 283, article id 116341Article in journal (Refereed) Published
Abstract [en]

Solar PV has seen a spectacular market development in recent years and has become a cost competitive source of electricity in many parts of the world. Yet, prospective observations show that the coronavirus pandemic could impact renewable energy projects, especially in the distributed market. Tracking and attributing the economic footprint of COVID-19 lockdowns in the photovoltaic sector poses a significant research challenge. Based on millions of financial transaction records and 44 thousand photovoltaic installation records, we tracked the spatiotemporal sale network of the distributed photovoltaic market and explored the extent of market slowdown. We found that a two-month lockdown duration can be assessed as a high-risk threshold value. When the lockdown duration exceeds the threshold value, the monthly value-added loss reaches 67.7%, and emission reduction capacity is cut by 64.2% over the whole year. We show that risks of a slowdown in PV deployment due to COVID19 lockdowns can be mitigated by comprehensive incentive strategies for the distributed PV market amid market uncertainties.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2021. Vol. 283, article id 116341
Keywords [en]
COVID-19, Distributed PV market, Transaction, Economy slowdown
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-53655DOI: 10.1016/j.apenergy.2020.116341ISI: 000613288700006Scopus ID: 2-s2.0-85099001024OAI: oai:DiVA.org:mdh-53655DiVA, id: diva2:1538123
Available from: 2021-03-18 Created: 2021-03-18 Last updated: 2021-03-22Bibliographically approved

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Yan, JinyueWallin, Fredrik

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Zhang, HaoranYan, JinyueJiang, MingkunWallin, Fredrik
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