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Meteorological input data effect on sizing stand-alone photovoltaic systems

DOI:10.1016/j.egypro.2018.12.024 期刊:Energy Procedia 出版年份:2019 更新时间:2025-09-12 10:27:22
摘要: The exploitation of Renewable Energy Sources (RES) has already been proved as a promising power source for a sustainable future in energy supply, to cover the world’s energy demand. Solar energy is considered the most abundant RES of all, while being available in every part of our planet makes it favorable for distributed RES energy production systems. Solar-based stand-alone power systems, installed in remote areas far from the main local electricity networks, can be cost efficient and even provide energy security given that they have been carefully sized. Moreover, stand-alone photovoltaic systems can highly contribute to distributed renewable energy and microgrid networks even without other RES combination if they integrate with an appropriate energy storage (ES) system. During the sizing procedure of a photovoltaic (PV) plant, the solar potential of the area is the dominant parameter. The use of solar energy values, which may deviate from the actual values, has a relatively small impact on the overall energy assessment of interconnected photovoltaic installations. However, in the case of stand-alone PV systems, where the user requires energy autonomy, it is necessary to use hourly solar radiation along with air temperature values with increased reliability in order to determine the most cost effective combination of PV-ES system. Although there is an extended literature on stand-alone PV systems sizing procedures, the effect of using different input meteorological data on system’s size has not been sufficiently addressed. In this context, the present study examines the use of different meteorological input data of solar radiation and air temperature with data series from 12 individual years, a Mean Year (MY) and a Typical Meteorological Year (TMY). Although the TMY has been mainly used in building’s energy calculations, the results of the present work prove that the use of a TMY increases the power system reliability if compared with sizing the system by using time series of individual years or a MY. The case study presented in the specific work concerns an application of combined PV-ES able to provide energy autonomy to a domestic consumer, in a remote area in the island of Rhodes.
作者: Kosmas A. Kavadias,Emily Karamanou
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Investigating the effect of different meteorological input data on the sizing of stand-alone photovoltaic systems for energy autonomy in remote areas.

The use of TMY time series presented higher reliability in sizing stand-alone PV-ES system than using annual time series of historical years or the Mean Year. The PV-ES size was highly affected by the month of January which is the month with the lower solar radiation values and the higher energy demand. The results of the study showed that TMY as input data can provide increased reliability compared with installations resulted from the historical years, and can be used to determine a PV-ES system size able to fully cover the electrical requirements of the domestic consumer.

The study is limited to the use of specific meteorological data series and a specific geographical location (Rhodes). The results may vary with different data sets or locations.

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