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An efficient sizing method for a stand-alone PV system in terms of the observed block extremes

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  • Chen, Shin-Guang

Abstract

This paper proposes a novel and fast sizing method under the constant daily load profile for sizing a stand-alone PV system. The term “efficient sizing” means that the approach did not use simulation but could get the result as good as those employing simulation. So, the sizing method is more efficient than the others. Traditionally, a typical day or a typical year’s solar irradiation profile is employed for the sizing task. However, facing the global warming crisis as well as the fact that no 2years would have the same weather condition for a single site, this approach statistically models the trend of climate change year by year and put it into the sizing formula, so that the results are optimal for the current weather condition and for the future as well. Hence, the suitable size for the PV array and the number of batteries are obtained by purely computation. This is different from the traditional sizing curve method. Although the traditional sizing curve method were satisfactory in the normal cases, they might fail in the extreme climate condition. This paper concludes the behavior of the extreme climate for at least 20years. So, the derived system may have statistical confidence for at least 20years of operation. A new reliability index (Loss of Power Probability) in terms of Extreme Value Theory is introduced. LPP provides upper bound reliability for application and rich information for many extreme events. A technological and economical comparison among the traditional daily energy balance method, sizing curve method and this approach is conducted and shows the usefulness of this approach.

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  • Chen, Shin-Guang, 2012. "An efficient sizing method for a stand-alone PV system in terms of the observed block extremes," Applied Energy, Elsevier, vol. 91(1), pages 375-384.
    • Handle: RePEc:eee:appene:v:91:y:2012:i:1:p:375-384
    DOI: 10.1016/j.apenergy.2011.09.043
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    References listed on IDEAS

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    1. Fragaki, A. & Markvart, T., 2008. "Stand-alone PV system design: Results using a new sizing approach," Renewable Energy, Elsevier, vol. 33(1), pages 162-167.
    2. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    3. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
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    2. Casares, F.J. & Lopez-Luque, R. & Posadillo, R. & Varo-Martinez, M., 2014. "Mathematical approach to the characterization of daily energy balance in autonomous photovoltaic solar systems," Energy, Elsevier, vol. 72(C), pages 393-404.
    3. Elma, Onur & Selamogullari, Ugur Savas, 2012. "A comparative sizing analysis of a renewable energy supplied stand-alone house considering both demand side and source side dynamics," Applied Energy, Elsevier, vol. 96(C), pages 400-408.
    4. Ibrahim, Ibrahim Anwar & Khatib, Tamer & Mohamed, Azah, 2017. "Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models," Energy, Elsevier, vol. 126(C), pages 392-403.
    5. Zubi, Ghassan & Dufo-López, Rodolfo & Pasaoglu, Guzay & Pardo, Nicolás, 2016. "Techno-economic assessment of an off-grid PV system for developing regions to provide electricity for basic domestic needs: A 2020–2040 scenario," Applied Energy, Elsevier, vol. 176(C), pages 309-319.
    6. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Mirjalili, Seyedali, 2020. "Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system," Renewable Energy, Elsevier, vol. 153(C), pages 1330-1345.
    7. Ren, Zhengen & Paevere, Phillip & Chen, Dong, 2019. "Feasibility of off-grid housing under current and future climates," Applied Energy, Elsevier, vol. 241(C), pages 196-211.
    8. Zhang, Peng & Li, Wenyuan & Li, Sherwin & Wang, Yang & Xiao, Weidong, 2013. "Reliability assessment of photovoltaic power systems: Review of current status and future perspectives," Applied Energy, Elsevier, vol. 104(C), pages 822-833.
    9. Sarhan, Ameen & Hizam, Hashim & Mariun, Norman & Ya'acob, M.E., 2019. "An improved numerical optimization algorithm for sizing and configuration of standalone photo-voltaic system components in Yemen," Renewable Energy, Elsevier, vol. 134(C), pages 1434-1446.
    10. Kaplani, E. & Kaplanis, S., 2012. "A stochastic simulation model for reliable PV system sizing providing for solar radiation fluctuations," Applied Energy, Elsevier, vol. 97(C), pages 970-981.
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