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An assessment of PV accommodation capacity in power plants: a case study of china
Key Laboratory of Pressure Systems and Safety (MOE), School of Mechanical Engineering, East China University of Science and Technology, Shanghai, 200237, China.
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, PR China.
State Key Laboratory of clean and efficient coal-fired power generation and pollution control, Nanjing, 210000, China.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering, Energy Processes. Key Laboratory of Pressure Systems and Safety (MOE), School of Mechanical Engineering, East China University of Science and Technology, Shanghai, 200237, China; School of Business Society and Technology, Mälardalen University, Västerås, Sweden.ORCID iD: 0000-0003-0300-0762
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2019 (English)In: ICAE 2019 - International Conference on Applied Energy, Applied Energy Innovation Institute (AEii) , 2019, article id 1191Conference paper, Published paper (Refereed)
Abstract [en]

As China delivering on the promise on energy transition, its photovoltaics(PV) market has become the biggest in the world, the total installed PV capacity has reached 180 GW. However, to meet the goal on 20% of total energy consumption from renewable sources, PV potential is appealing to continue release. Currently, PV deployment in China mainly focuses on residential rooftop PV systems and utility-scale PV plants, and is somehow stuck by curtailment. Distributed PV system for industrial users that has have many advantages is promising to achieve completely consumption onsite yet is still lack of investigation. Here, we present an assessment on the potential PV accommodation capacity in China’s power plants by using abundant real data from power plants and geographic information system(GIS). The results show the accommodation capability of PV is 31.30 GW in power generation sector, or 3.73×1010 kWh for auxiliary power demand and is able to reduce 5.81×107 tons of CO2 and 9.70×103 tons of PM2.5 annually.

Place, publisher, year, edition, pages
Applied Energy Innovation Institute (AEii) , 2019. article id 1191
Keywords [en]
auxiliary power, Emissions reduction, Power generation, PV accommodation capability, PV potential
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-353528DOI: 10.46855/energy-proceedings-3869Scopus ID: 2-s2.0-85202631618OAI: oai:DiVA.org:kth-353528DiVA, id: diva2:1899203
Conference
11th International Conference on Applied Energy, ICAE 2019, August 12-15, 2019, Västerås, Sweden
Note

QC 20240925

Available from: 2024-09-19 Created: 2024-09-19 Last updated: 2024-09-25Bibliographically approved

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Yan, Jinyue

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