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A comparative evaluation of household preferences for solar photovoltaic standalone and mini-grid system: An empirical study in a costal village of Indian Sundarban

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  • Bhandari, Amit K.
  • Jana, Chinmoy

Abstract

Solar PhotoVoltaic (SPV) based systems have been widely accepted technology for rural electrification in developing countries. The standalone SPV home lighting system has increasingly been popular among rural households, while SPV mini-grid supply system is being promoted for rural electrification schemes. This study uses data from household survey to explore the impact of household characteristics on the preference for electrical energy from SPV systems. Econometric evidence shows heterogeneity in behavioural pattern for these two SPV systems. The flexibility in use and cost of systems might explain this difference. Household characteristics such as monthly household income, household size, occupational status of household head, number of room and type of house significantly influence household’s decision for SPV standalone home lighting systems. For SPV mini-grid supply household’s income and monthly expenditure on kerosene are significant predictors. The result reported in this paper might be a valuable input for policy makers to frame right policy mix with regard to provide subsidy on rural electrification programmes.

Suggested Citation

  • Bhandari, Amit K. & Jana, Chinmoy, 2010. "A comparative evaluation of household preferences for solar photovoltaic standalone and mini-grid system: An empirical study in a costal village of Indian Sundarban," Renewable Energy, Elsevier, vol. 35(12), pages 2835-2838.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:12:p:2835-2838
    DOI: 10.1016/j.renene.2010.05.006
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    Cited by:

    1. Haytham El-houari & Amine Allouhi & Shafiqur Rehman & Mahmut Sami Buker & Tarik Kousksou & Abdelmajid Jamil & Bouchta El Amrani, 2019. "Design, Simulation, and Economic Optimization of an Off-Grid Photovoltaic System for Rural Electrification," Energies, MDPI, vol. 12(24), pages 1-16, December.
    2. Irfan, Mohd & Yadav, Sarvendra & Shaw, Krishnendu, 2021. "The adoption of solar photovoltaic technology among Indian households: Examining the influence of entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Goel, Sonali & Sharma, Renu, 2017. "Performance evaluation of stand alone, grid connected and hybrid renewable energy systems for rural application: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1378-1389.
    4. Mathilde Brix Pedersen, 2016. "Deconstructing the concept of renewable energy-based mini-grids for rural electrification in East Africa," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(5), pages 570-587, September.
    5. Muhumuza, Ronald & Zacharopoulos, Aggelos & Mondol, Jayanta Deb & Smyth, Mervyn & Pugsley, Adrian, 2018. "Energy consumption levels and technical approaches for supporting development of alternative energy technologies for rural sectors of developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 90-102.
    6. Elizabeth Baldwin & Jennifer N. Brass & Sanya Carley & Lauren M. MacLean, 2015. "Electrification and rural development: issues of scale in distributed generation," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(2), pages 196-211, March.
    7. Tinta, Abdoulganiour Almame & Sylla, Ahmed Yves & Lankouande, Edmond, 2023. "Solar PV adoption in rural Burkina Faso," Energy, Elsevier, vol. 278(PB).
    8. Fetanat, Abdolvahhab & Shafipour, Gholamreza & Mohtasebi, Seyedeh-Maryam, 2019. "Measuring public acceptance of climate-friendly technologies based on creativity and cognitive approaches: Practical guidelines for reforming risky energy policies in Iran," Renewable Energy, Elsevier, vol. 134(C), pages 1248-1261.
    9. Zhang, Nan & Hwang, Bon-Gang & Lu, Yujie & Ngo, Jasmine, 2022. "A Behavior theory integrated ANN analytical approach for understanding households adoption decisions of residential photovoltaic (RPV) system," Technology in Society, Elsevier, vol. 70(C).
    10. Zhai, Pei & Williams, Eric D., 2012. "Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model," Renewable Energy, Elsevier, vol. 41(C), pages 350-357.
    11. Abhi Chatterjee & Daniel Burmester & Alan Brent & Ramesh Rayudu, 2019. "Research Insights and Knowledge Headways for Developing Remote, Off-Grid Microgrids in Developing Countries," Energies, MDPI, vol. 12(10), pages 1-19, May.
    12. Mishra, Pulak & Behera, Bhagirath, 2016. "Socio-economic and environmental implications of solar electrification: Experience of rural Odisha," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 953-964.
    13. Mandelli, Stefano & Barbieri, Jacopo & Mereu, Riccardo & Colombo, Emanuela, 2016. "Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1621-1646.
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    15. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.

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    More about this item

    Keywords

    Renewable energy; Customer choice; Logit model;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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