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Assessing solar potential and battery instalment for self-sufficient buildings with simplified model

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  • Kovač, Marko
  • Stegnar, Gašper
  • Al-Mansour, Fouad
  • Merše, Stane
  • Pečjak, Andrej

Abstract

The current governing economic policies and models are favoring maximizing overall solar panel power production in an effort to mitigate climate change. Those were adequate for relative low share of solar power within entire energy mix. As the share of photovoltaic energy production rises, those principles directly cause high mid-day summer productions peaks and even negative prices for the electricity, when solar power is in abundance. This prompts for different approach for calculating solar technical and economic potential, which can offer valuable data for planning future energy sources. This paper uses a simplified model to evaluate prevailing self-sustainable rooftop solar electricity production for typical households and micro-grids in combination with battery storage (Solar Plus). The used model is nevertheless covering most important features of solar power production: the weather pattern, load curves and roof orientation and can be used either for single home-owners or small businesses. Typical applications and main benefits of the assessment are discussed and critically reviewed. The used model is suitable for use on single households or house clusters in scattered populated area and was developed based on extensive empirical knowledge.

Suggested Citation

  • Kovač, Marko & Stegnar, Gašper & Al-Mansour, Fouad & Merše, Stane & Pečjak, Andrej, 2019. "Assessing solar potential and battery instalment for self-sufficient buildings with simplified model," Energy, Elsevier, vol. 173(C), pages 1182-1195.
    • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:1182-1195
    DOI: 10.1016/j.energy.2019.02.024
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    Cited by:

    1. Hassan, Masood Ul & Saha, Sajeeb & Haque, Md Enamul, 2021. "PVAnalytX: A MATLAB toolkit for techno-economic analysis and performance evaluation of rooftop PV systems," Energy, Elsevier, vol. 223(C).
    2. Lukač, Niko & Špelič, Denis & Štumberger, Gorazd & Žalik, Borut, 2020. "Optimisation for large-scale photovoltaic arrays’ placement based on Light Detection And Ranging data," Applied Energy, Elsevier, vol. 263(C).
    3. Malandra, F. & Kizilkale, A.C. & Sirois, F. & Sansò, B. & Anjos, M.F. & Bernier, M. & Gendreau, M. & Malhamé, R.P., 2020. "Smart Distributed Energy Storage Controller (smartDESC)," Energy, Elsevier, vol. 210(C).
    4. Chih-Chiang Wei, 2019. "Evaluation of Photovoltaic Power Generation by Using Deep Learning in Solar Panels Installed in Buildings," Energies, MDPI, vol. 12(18), pages 1-18, September.

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