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Beyond the Diffusion of Residential Solar Photovoltaic Systems at Scale: Allegorising the Battery Energy Storage Adoption Behaviour

Author

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  • Mohammad Alipour

    (School of Engineering and Built Environment, Griffith University, Southport, QLD 4222, Australia
    Cities Research Institute, Griffith University, Southport, QLD 4222, Australia)

  • Rodney A. Stewart

    (School of Engineering and Built Environment, Griffith University, Southport, QLD 4222, Australia
    Cities Research Institute, Griffith University, Southport, QLD 4222, Australia)

  • Oz Sahin

    (School of Engineering and Built Environment, Griffith University, Southport, QLD 4222, Australia
    Cities Research Institute, Griffith University, Southport, QLD 4222, Australia
    Griffith Climate Change Response Program, Griffith University, Southport, QLD 4222, Australia)

Abstract

Understanding the residential adoption decision of battery energy storage systems (BESSs) is central to the implementation of successful intervention policies. However, when the residential solar photovoltaics (PV) becomes a widely accepted technology across a society, accurately modelling the behaviour shows a higher degree of complexity. In this vein, the uptake pathway of BESS and PV coupled with BESS (PV–BESS) would predictably exhibit similar attitudinal traits to that of PV consumption. This notion implies that the antecedent PV decision can be regarded as the past behaviour of the BESS adopter by creating attitudinal implications. The PV use status also yields a higher degree of heterogeneity through the emergence of four new household groups and the inherent imbalances in the involvement of the interwoven financial, technical, sociodemographic, and psychological predictors. This perspective employs the Reasoned Action Approach (RAA) to allegorise a decision-making model of BESS and PV–BESS adoption behaviour in a mature PV market (Australia). It argues that the particularised background factors will likely shape the individual’s attitudes and perceived norms for intention, and showcases affordability and the use of PV as the two control components that dictate the final decision.

Suggested Citation

  • Mohammad Alipour & Rodney A. Stewart & Oz Sahin, 2021. "Beyond the Diffusion of Residential Solar Photovoltaic Systems at Scale: Allegorising the Battery Energy Storage Adoption Behaviour," Energies, MDPI, vol. 14(16), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5015-:d:615024
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    References listed on IDEAS

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    Cited by:

    1. Alipour, M. & Irannezhad, Elnaz & Stewart, Rodney A. & Sahin, Oz, 2022. "Exploring residential solar PV and battery energy storage adoption motivations and barriers in a mature PV market," Renewable Energy, Elsevier, vol. 190(C), pages 684-698.
    2. Qi Huang & Aihua Jiang & Yu Zeng & Jianan Xu, 2022. "Community Flexible Load Dispatching Model Based on Herd Mentality," Energies, MDPI, vol. 15(13), pages 1-18, June.
    3. Alipour, Mohammad & Taghikhah, Firouzeh & Irannezhad, Elnaz & Stewart, Rodney A. & Sahin, Oz, 2022. "How the decision to accept or reject PV affects the behaviour of residential battery system adopters," Applied Energy, Elsevier, vol. 318(C).
    4. Ludwik Wicki & Robert Pietrzykowski & Dariusz Kusz, 2022. "Factors Determining the Development of Prosumer Photovoltaic Installations in Poland," Energies, MDPI, vol. 15(16), pages 1-19, August.
    5. Nikita Dmitrievich Senchilo & Denis Anatolievich Ustinov, 2021. "Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption," Energies, MDPI, vol. 14(21), pages 1-25, October.
    6. Sara Ghaboulian Zare & Reza Hafezi & Mohammad Alipour & Reza Parsaei Tabar & Rodney A. Stewart, 2021. "Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision," Energies, MDPI, vol. 14(20), pages 1-26, October.

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