2021
DOI: 10.1016/j.rser.2021.111357
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Innovative regression-based methodology to assess the techno-economic performance of photovoltaic installations in urban areas

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Cited by 19 publications
(6 citation statements)
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“…For the centroid of each of the remaining surfaces, the global irradiance is applied for all combinations of azimuth and tilt using the Liu and Jordan isotropic irradiance model [39], which is widely employed in urban areas due to its accuracy and simplicity [40,41]. The shadows cast by nearby obstacles and buildings are considered to calculate the skyline of surrounding obstacles, as detailed in a previous work [28,42,43]. The irradiance hourly time-series components and ambient temperatures are obtained from PVGIS for the year 2021 [31].…”
Section: Techno-economic Modelmentioning
confidence: 99%
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“…For the centroid of each of the remaining surfaces, the global irradiance is applied for all combinations of azimuth and tilt using the Liu and Jordan isotropic irradiance model [39], which is widely employed in urban areas due to its accuracy and simplicity [40,41]. The shadows cast by nearby obstacles and buildings are considered to calculate the skyline of surrounding obstacles, as detailed in a previous work [28,42,43]. The irradiance hourly time-series components and ambient temperatures are obtained from PVGIS for the year 2021 [31].…”
Section: Techno-economic Modelmentioning
confidence: 99%
“…Some cases require complex machine-learning models [26,27]. In addition to an economic payback (PB) regression model proposed by the authors [28], a study case was found in which the payback and NPV model are estimated, based on installation design parameters such as power, tilt and azimuth angles, inclinations, electricity prices, among others [29]. However, both models are not very flexible to other scenarios of electricity consumption and costs.…”
Section: Introductionmentioning
confidence: 99%
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“…The financial study determined that all the sites studied in [15,16] had a good profit margin based on IRR, NPV (net present value), and LCOE (levelized cost of electricity). Fuster-Palop et al in [17] showed that the shadow losses had the most significant impact on economic feasibility for urban areas, and Ameur et al in [18] estimated the LCOE for different PV module cell types for the Morocco region.…”
Section: Introductionmentioning
confidence: 99%
“…However, its analysis of future electrification scenarios showed that the optimal weight of solar PV generation systems decreases as electricity demand increases in contrast to wind turbines. Moreover, other studies have focused on PV self-consumption capacity at the municipal scale in urban areas of Spain, such as the cases of Seville [13], Irun [14], and Valencia [15]. In Seville, PV systems installed on the roofs of buildings (residential, services, and industrial) could virtually meet the electricity demand of the city.…”
Section: Introductionmentioning
confidence: 99%