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Viability study of the use of grid connected photovoltaic system in agriculture: Case of Algerian dairy farms

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  • Bey, M.
  • Hamidat, A.
  • Benyoucef, B.
  • Nacer, T.

Abstract

To meet the rising electricity demand and decreasing produced gas, the Algerian government plans for the installation of 22GW of renewable energy by 2030 and it ensures the purchase of the produced electricity. The photovoltaic energy will be the first energy with 13.5GW. In this paper, the performances of the photovoltaic systems destined to supplying the dairy farm and the grid in a rural environment have been studied. The methodology is based on the irrigation and lighting optimization. Whereby, the quality of lighting (150–250lx) in cow building and irrigation has a direct impact on the production of milk and the growth of crop plants, respectively. The system is optimized by computational program, using global solar radiation and the electricity consumption profile of the dairy farm. A computational program is developed to define the appropriate motor-pump, number of lamps, photovoltaic surface and investment cost. After optimization, the farm becomes a complementary source of photovoltaic electricity 34MWh/year. The consumed energy of farm from the grid decreases with 67%, and the injected energy is estimated at 30.9MWh/year, the produced milk increases with 8% and the CO2 emission decreases with 68%. Hence, the dairy farm becomes an electricity producer instead of electricity consumer with less environmental damage.

Suggested Citation

  • Bey, M. & Hamidat, A. & Benyoucef, B. & Nacer, T., 2016. "Viability study of the use of grid connected photovoltaic system in agriculture: Case of Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 333-345.
    • Handle: RePEc:eee:rensus:v:63:y:2016:i:c:p:333-345
    DOI: 10.1016/j.rser.2016.05.066
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    3. Breen, M. & Upton, J. & Murphy, M.D., 2020. "Photovoltaic systems on dairy farms: Financial and renewable multi-objective optimization (FARMOO) analysis," Applied Energy, Elsevier, vol. 278(C).
    4. Natalia Iwaszczuk & Mariusz Trela, 2021. "Analysis of the Impact of the Assumed Moment of Meeting Total Energy Demand on the Profitability of Photovoltaic Installations for Households in Poland," Energies, MDPI, vol. 14(6), pages 1-15, March.
    5. Jian Chen & Lingjun Wang & Yuanyuan Li, 2022. "Research on Niche Evaluation of Photovoltaic Agriculture in China," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    6. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
    7. Barros, Murillo Vetroni & Salvador, Rodrigo & de Francisco, Antonio Carlos & Piekarski, Cassiano Moro, 2020. "Mapping of research lines on circular economy practices in agriculture: From waste to energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    8. Maammeur, H. & Hamidat, A. & Loukarfi, L. & Missoum, M. & Abdeladim, K. & Nacer, T., 2017. "Performance investigation of grid-connected PV systems for family farms: case study of North-West of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1208-1220.
    9. Marcin Bukowski & Janusz Majewski & Agnieszka Sobolewska, 2021. "Macroeconomic Efficiency of Photovoltaic Energy Production in Polish Farms," Energies, MDPI, vol. 14(18), pages 1-19, September.
    10. Antonio José Steidle Neto & Daniela de Carvalho Lopes, 2021. "Technical analysis of photovoltaic energy generation for supplying the electricity demand in Brazilian dairy farms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1355-1370, February.
    11. Laib, I. & Hamidat, A. & Haddadi, M. & Ramzan, N. & Olabi, A.G., 2018. "Study and simulation of the energy performances of a grid-connected PV system supplying a residential house in north of Algeria," Energy, Elsevier, vol. 152(C), pages 445-454.
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