Strategien für die Bibliothek als Ort in den Goethe-Instituten weltweit

Klauser, Hella; Umlauf, Konrad; Werner, K.; Kaufmann, Andrea

doi:10.1515/9783110481037-013

Cited by 1 publication

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We focus on the period 1991-2021, when we have data in both datasets. Finally, we also used the solar potential of Soonendach.ch developed for SFOE [6], which contains buildings geometries and solar potential per rooftop in Switzerland.…”

Section: Data Collectionmentioning

confidence: 99%

“…As the PV panels dataset does not include this distinction, we used Geographic Information Systems (GIS) to identify these two types among the installations labeled as attached. We spatially matched the location of PV installations [4] with the nearest rooftop [6] (i) excluding 1.5% installations without location (ii) only selecting roofs with good, very good or excellent solar potential [18] (iii) comparing installed power of installation and available roof surface (considering 6 m 2 /kWp, [6]) to validate the spatial match. 21% of the attached installations in the dataset were found to be on a rooftop with less than 8.5º tilt (15%, [19]) and considered as attached -complex.…”

Section: Pv Modulesmentioning

confidence: 99%

“…To calculate the energy produced per PV plant per year, we divided the total energy produced per year [5] by the installed power of each PV plant [4]. We validated the result using a spatial dataset that contains data on solar potential per roof [6] and applying the GIS-based spatial matching method explained in section 2.2. Once we obtained the solar potential per PV plant based on their location, we used the methodology of Sonnendach-ch and SFOE [6] (to calculate the energy produced by installation, considering: Electricity yield (kWhe/year) = total radiation (kWh/m 2 year) * module efficiency (%) * performance ratio (%) * surface (m 2 ) * performance loss (%).…”

Section: Net Energy Producedmentioning

confidence: 99%

“…Once we obtained the solar potential per PV plant based on their location, we used the methodology of Sonnendach-ch and SFOE [6] (to calculate the energy produced by installation, considering: Electricity yield (kWhe/year) = total radiation (kWh/m 2 year) * module efficiency (%) * performance ratio (%) * surface (m 2 ) * performance loss (%). We selected the calculated mean annual irradiation per square meter accounting for shading [6]. We considered 17% of module efficiency [6], 80% performance ratio [6], and a performance loss of 0.69% per year [29], considering that all PV installations are still functioning [6].…”

Section: Net Energy Producedmentioning

confidence: 99%

“…We selected the calculated mean annual irradiation per square meter accounting for shading [6]. We considered 17% of module efficiency [6], 80% performance ratio [6], and a performance loss of 0.69% per year [29], considering that all PV installations are still functioning [6]. We used the power installed provided in the dataset for each installation to obtain their respective surface using a ratio of 6m 2 /1 kWp [6].…”

Section: Net Energy Producedmentioning

confidence: 99%

See 4 more Smart Citations

What is the net PV energy production in Switzerland and how can we maximize it?

Martinez-Alcaraz,

Serra-Coch,

Alonso-Montolio

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Maximizing solar energy production in Switzerland is key to meet energy transition goals. Understanding in detail the current situation, and the potential for expansion is important to develop effective strategies. With this study, we want to contribute to federal and academic efforts to measure solar energy by estimating the net energy produced by photovoltaic (PV) installations when considering their embodied energy. We calculated the values of all energy produced by PV installations across Switzerland from 1991-2021 and subtracted the embodied energy used to manufacture the PV panels and their mounting system. We considered four different types: freestanding, attached-complex, attached-simple and integrated, with progressively decreasing values of embodied energy for the supporting structure. The results show that in 2022, 50% of PV installations were producing net energy, which accounts for an accumulated historical value of 1.000 GWh, implying that 6% of the historical PV generation is net energy. If mounting systems were minimized, the accumulated net energy would reach 23%, showing the importance of integrating PV panels in building elements. These findings suggest that policies to support the diffusion of photovoltaic panels should also ensure long term use of existing installations and consider the mounting systems’ embodied energy for new ones.

show abstract

Section: Data Collectionmentioning

confidence: 99%

Section: Pv Modulesmentioning

confidence: 99%