2020
DOI: 10.1016/j.jobe.2020.101528
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Assessment of rooftop solar power technical potential in Hanoi city, Vietnam

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Cited by 32 publications
(14 citation statements)
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“…The uniform distribution of both solar potential and LCOE are good conditions for solar PV development here. The high availability of rooftops and the speed of urbanization are good conditions for RTS deployment here [45,49,82]. Nevertheless, the high population density and the need for space for other economic sectors are constraints on the development of SPP in the south region [68].…”
Section: Relatively High Levelized Cost Of Electricitymentioning
confidence: 99%
See 2 more Smart Citations
“…The uniform distribution of both solar potential and LCOE are good conditions for solar PV development here. The high availability of rooftops and the speed of urbanization are good conditions for RTS deployment here [45,49,82]. Nevertheless, the high population density and the need for space for other economic sectors are constraints on the development of SPP in the south region [68].…”
Section: Relatively High Levelized Cost Of Electricitymentioning
confidence: 99%
“…As a result, applications of SPP boomed here in 2019, especially in the south-central area [4,42,81]. In contrast, the development of RTS here is limited due to the low number of available roofs and the distance between the FIT and the LCOE not being as attractive as in the south region [45,49]. The total installed capacity of solar PV in the south region was about 2 GWp in 2019 and 6.3 GWp in 2020 [43,44,64,65].…”
Section: Relatively High Levelized Cost Of Electricitymentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, for the investment efficiency evaluation, the payback in actual operations was about a year longer than the theoretical calculation. Finally, the total generated electricity of rooftop solar power was estimated at 37,591,481 MWh [49].…”
Section: Artificial Intelligence Approachmentioning
confidence: 99%
“…Fourthly, there was an attempt in Hanoi, Vietnam, to use technology to save energy, generate economic benefits, and reduce greenhouse gas emissions through the evaluation of the implementation of remote sensing technology. (Phap, Huong, Hanh, Duy & Binh, 2020). Finally, in Thailand, there have been ongoing quantitative studies and the recent one is the use of a quantitative model that coupled weather forecasting with chemistry to simulate carbon concentrations in Thailand in 2017 with the goal of assessing the contributions of local emissions and regional transportation of Thailand.…”
Section: Introductionmentioning
confidence: 99%