
doi: 10.3390/en11061333
The modern urban landscape creates numerous challenges for the deployment of solar Photovoltaic (PV) technology. The large structures that dominate the skyline of every city create compactness, which, in turn, limits the available rooftop area and creates unpredicted shading patterns. The majority of research today relies on modern applications such as geographical information system (GIS) software to evaluate urban morphology; however, this approach is computationally intensive and therefore it is usually limited to a small geographical area. In this paper, we approach this issue from another perspective, utilizing the enormous amount of high resolution PV yield data that is available for the Netherlands. Our results not only correlate performance losses with urban compactness indicators, but they also reveal a significant seasonality effect that can reach 15% in some cases.
System, urban compactness, Technology, Control and Optimization, Renewable Energy, Sustainability and the Environment, Urban compactness, T, Energy Engineering and Power Technology, system, GIS, performance ratio, PV module, Performance ratio, Population density, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, population density, Energy (miscellaneous)
System, urban compactness, Technology, Control and Optimization, Renewable Energy, Sustainability and the Environment, Urban compactness, T, Energy Engineering and Power Technology, system, GIS, performance ratio, PV module, Performance ratio, Population density, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, population density, Energy (miscellaneous)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
