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handle: 1942/32870
Currently, photovoltaic (PV) installations target a maximization of annual energy yield. In the future however, electricity generation may need to match better with the load profiles in a given environment and climate. In particular this will be a challenge for generation across the seasons, where electrical storage is less suitable, and in the built environment, where wind turbines for generation are much more difficult to integrate. In this paper we discuss how this challenge may be addressed with climate- and consumption-specific PV module technology. In particular, we demonstrate how the temperature coefficient of a PV system can impact the energy yield throughout the year. After explaining the concept, we apply our electrical-optical-thermal model to do very accurate physics-based bottom-up simulations in different climates. As such, depending on the climate and latitude, a higher temperature coefficient of the PV module may lead to higher energy yields, mostly during the colder season. We also demonstrate that, if higher temperature coefficients are accompanied by improved low-light performance (tunable using the module’s series resistance), the seasonal gain can be much higher. We indicate the relevance of our assumptions by basing the module performance in the simulations on (datasheets of) commercial modules.
Temperature coefficient, PV module technology, 600, Low-light performance, Seasonal balancing by tuning PV generation, 333, 213, PV module Technology, Energy yield simulation
Temperature coefficient, PV module technology, 600, Low-light performance, Seasonal balancing by tuning PV generation, 333, 213, PV module Technology, Energy yield simulation
| 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). | 9 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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