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City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China
KTH Royal Institute of Technology.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Institute of Technology.ORCID iD: 0000-0002-1351-9245
Tsinghua University, Beijing, China.
2019 (English)In: Nature Energy, ISSN 2058-7546, Vol. 4, no 8, p. 709-717Article in journal (Refereed) Published
Abstract [en]

In recent years, China has become not just a large producer but a major market for solar photovoltaics (PV), increasing interest in solar electricity prices in China. The cost of solar PV electricity generation is affected by many local factors, making it a challenge to understand whether China has reached the threshold at which a grid-connected solar PV system supplies electricity to the end user at the same price as grid-supplied power or the price of desulfurized coal electricity, or even lower. Here, we analyse the net costs and net profits associated with building and operating a distributed solar PV project over its lifetime, taking into consideration total project investments, electricity outputs and trading prices in 344 prefecture-level Chinese cities. We reveal that all of these cities can achieve—without subsidies—solar PV electricity prices lower than grid-supplied prices, and around 22% of the cities’ solar generation electricity prices can compete with desulfurized coal benchmark electricity prices.

Place, publisher, year, edition, pages
Nature Publishing Group , 2019. Vol. 4, no 8, p. 709-717
Keywords [en]
Commerce, Electric power generation, Electric power transmission networks, Profitability, Solar concentrators, Solar energy, Solar power generation, Coal electricities, Electricity generation, Electricity output, Electricity prices, Solar electricity, Solar photovoltaic electricity, Solar photovoltaics, Solar PV systems, Costs
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-45100DOI: 10.1038/s41560-019-0441-zScopus ID: 2-s2.0-85070785396OAI: oai:DiVA.org:mdh-45100DiVA, id: diva2:1346674
Available from: 2019-08-28 Created: 2019-08-28 Last updated: 2019-08-28Bibliographically approved

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Yang, YingCampana, Pietro Elia

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CiteExportLink to record
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