Potential assessment of photovoltaic power generation in China

Qiu, Tianzhi; Wang, Lunche; Lu, Yehu; Zhang, Ming; Qin, Wenmin; Wang, Shaoqiang; Wang, Lizhe

doi:10.1016/j.rser.2021.111900

Cited by 116 publications

(45 citation statements)

References 40 publications

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“…[16], but lower than Ref. [17,18]. This is mainly because we have considered stricter policy conditions.…”

Section: Comparison With Other Studiesmentioning

confidence: 86%

“…The relevant results of PV power generation potential in this study and the comparison with [16][17][18] are summarized in Table 7, and those studies also evaluate the PV power generation potential in China. These differences are attributable to solar irradiation data and analysis techniques, PV module technologies, and physical constraints on available PV sites.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

“…[17] the upper limit of the slope is set to 7%, in Ref. [18] it is set to 15%, and in this study, the upper limit is set to 3%. The main reason for this setting is that the land use requirements for PV power station projects are becoming more and more strict [44].…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

“…However, current policymakers are not clear about "can China's wind and solar energy endowment support its energy transition?". Many studies have conducted initial assessments of wind and solar resources within China as a necessary precursor to utilization [8][9][10][11][12][13][14][15][16][17][18]. Wind energy assessments primarily use reanalysis data sets and meteorological station observations [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…However, wind speeds from reanalysis data sets are not usually validated against wind mast data, while meteorological stations only measure the near-surface wind speed (at 10 m), which needs to be adjusted to the wind turbine hub height (typically 80-100 m), creating large uncertainties. Solar energy assessments typically rely on solar irradiation observations from meteorological stations [16][17][18], but less than 100 irradiation stations are operational in China, too few to accurately represent regional solar characteristics. Interpolating this limited network over China as a whole inevitably introduces large uncertainties.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of wind and photovoltaic power potential in China

et al. 2022

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Decarbonization of the energy system is the key to China’s goal of achieving carbon neutrality by 2060. However, the potential of wind and photovoltaic (PV) to power China remains unclear, hindering the holistic layout of the renewable energy development plan. Here, we used the wind and PV power generation potential assessment system based on the Geographic Information Systems (GIS) method to investigate the wind and PV power generation potential in China. Firstly, the high spatial-temporal resolution climate data and the mainstream wind turbines and PV modules, were used to assess the theoretical wind and PV power generation. Then, the technical, policy and economic (i.e., theoretical power generation) constraints for wind and PV energy development were comprehensively considered to evaluate the wind and solar PV power generation potential of China in 2020. The results showed that, under the current technological level, the wind and PV installed capacity potential of China is about 56.55 billion kW, which is approximately 9 times of those required under the carbon neutral scenario. The wind and PV power generation potential of China is about 95.84 PWh, which is approximately 13 times the electricity demand of China in 2020. The rich areas of wind power generation are mainly distributed in the western, northern, and coastal provinces of China. While the rich areas of PV power generation are mainly distributed in western and northern China. Besides, the degree of tapping wind and PV potential in China is not high, and the installed capacity of most provinces in China accounted for no more than 1% of the capacity potential, especially in the wind and PV potential-rich areas.

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“…[16], but lower than Ref. [17,18]. This is mainly because we have considered stricter policy conditions.…”

Section: Comparison With Other Studiesmentioning

confidence: 86%

Section: Comparison With Other Studiesmentioning

confidence: 99%

Section: Comparison With Other Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Assessment of wind and photovoltaic power potential in China

et al. 2022

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Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Bin Abu Sofian,

Lim,

Siti Halimatul Munawaroh

et al. 2024

Sustainable Development

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This article evaluates the present global condition of solar and wind energy adoption and explores their benefits and limitations in meeting energy needs. It examines the historical and evolutionary growth of solar and wind energy, global trends in the usage of renewable energy, and upcoming technologies, including floating solar and vertical‐axis wind turbines. The importance of smart grid technology and energy storage alternatives for enhancing the effectiveness and dependability of renewable energy is explored. In addition, the role of Electric Vehicles (EVs) in a modern smart grid has been assessed. Furthermore, the economic benefits, and most recent technological developments of solar and wind energy and their environmental and social ramifications. The potential of solar and wind energy to meet the increasing global energy demand and the problems and opportunities facing the renewable energy industry have shown excellent promise. Machine learning applications for solar and wind energy generation are vital for sustainable energy production. Machine learning can help in design, optimization, cost reduction, and, most importantly, in improving the efficacy of solar and wind energy, including advancing energy storage. This assessment is a crucial resource for policymakers, industry leaders, and researchers who aim to make the world cleaner and more sustainable. Ultimately, this review has shown the great potential of solar and wind energy in meeting global energy demands and sustainable goals.

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Research Progress of Snowmelt Promotion and Snowmelt Monitoring Technology on Photovoltaic Modules

Zhu,

Li,

Gao

et al. 2024

IEEJ Transactions Elec Engng

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The accumulation of snow is one of the essential reasons for the significant decrease in the power generation efficiency of PV stations in winter. For this reason, this paper firstly provides a detailed review of the current research into the physical processes and shedding reasons for the natural melting of snow on PV module surfaces. Then, several common techniques to promote snow and ice melting on PV surfaces are discussed, and the feasibility and shortcoming of ultrasonic technology in removing high‐density snow and ice are analyzed in detail. Finally, this paper proposes two snow sensing technologies for PV modules, namely, image processing method and interdigital capacitance method. Among them, the image method based on fixed camera and UAV detection is more suitable for wide area PV power stations, while the interdigital capacitance method is helpful in obtaining snow characteristic parameters, such as icing type and LWC. The relevant research has certain reference significance for PV power stations to formulate a more reasonable snow removal plan and power generation forecast. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Potential assessment of photovoltaic power generation in China

Cited by 116 publications

References 40 publications

Assessment of wind and photovoltaic power potential in China

Assessment of wind and photovoltaic power potential in China

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Research Progress of Snowmelt Promotion and Snowmelt Monitoring Technology on Photovoltaic Modules

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