2016
DOI: 10.1016/j.solener.2016.05.061
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Combining solar resource mapping and energy system integration methods for realistic valuation of urban solar energy potential

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Cited by 64 publications
(26 citation statements)
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“…Having a better representation of building geometry is necessary in identifying where a solar panel could be installed (Martin, et al, 2015). since solar panels could both be installed on the roofs and the walls of a building, (Wegertseder, et al, 2016) since walls are larger in area than roofs and may also contribute to energy production (Jaugsch, et al, 2016). Indicating the Level of Detail of a generated building model is also important to determine the accuracy of solar radiation estimates, since complex geometries like the shape of roofs and wall extrusions are taken into account (Agugiaro, et al, 2011).…”
Section: D Modellingmentioning
confidence: 99%
“…Having a better representation of building geometry is necessary in identifying where a solar panel could be installed (Martin, et al, 2015). since solar panels could both be installed on the roofs and the walls of a building, (Wegertseder, et al, 2016) since walls are larger in area than roofs and may also contribute to energy production (Jaugsch, et al, 2016). Indicating the Level of Detail of a generated building model is also important to determine the accuracy of solar radiation estimates, since complex geometries like the shape of roofs and wall extrusions are taken into account (Agugiaro, et al, 2011).…”
Section: D Modellingmentioning
confidence: 99%
“…Zalamea [99] shows that roof area availability and architectural features of dwellings are determinants, so that in the same locality, it is feasible to take full advantage of irradiation, reaching a catchment that exceeds 100% of the demand if there is a surface without obstacles, compared to 10% if the roof is irregular and divided. However, in the same context, because of system restrictions of the existing grid and seasonal fluctuations, only between 15% and 27% could be covered [100].…”
Section: Photovoltaic Energymentioning
confidence: 99%
“…The first main challenge is the competition for the use of areas and/or land. For PV, solar thermal, and other uses on buildings, this aspect has already been done, for example, by Wegertseder et al., but not in a straightforward way, because it involves implicit assumptions on the respective preferences of the different technologies, which may at least partly depend on the building use and its occupants . The situation is similar for wind studies: if the issue of land competition is to be considered, this implies a judgment about the relative importance of specific land use categories for different end uses.…”
Section: Decentralized Energy‐system Modeling Of Low Carbon Technologmentioning
confidence: 99%
“…The second main challenge is to consider integration of the determined PV potentials into the energy system. Although this has already been done by some PV studies, for example, by Mainzer et al., Killinger et al., Srećković et al., and Wegertseder et al., these aspects are typically not considered by wind potential studies. So there is definitely scope to improve these methods, for example, by using real network topology and load flow data and/or also modeling other end‐use sectors.…”
Section: Decentralized Energy‐system Modeling Of Low Carbon Technologmentioning
confidence: 99%