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March 6, 2026Systems0 citationsOpen Access

R&D Cost Sharing of Intelligent Upgrading of Photovoltaic Power Stations

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YHYibo HuYCYuhan ChenLHLi Hou

Key Points

  • This study aims to analyze the impact of R&D cost sharing on photovoltaic power station upgrades between operators and suppliers.
  • Developed game models to compare R&D cost sharing and non-sharing scenarios.
  • Evaluated benefits for both PV project operators and technical equipment suppliers.
  • Analyzed the relationship between product demand and operator maintenance efforts.
  • Cost sharing improves R&D effort levels among operators.
  • Greater increases in power generation positively influence operators' motivation for cost sharing.
  • Setting an appropriate wholesale price balances profits for both parties.

Abstract

The intelligent upgrading of photovoltaic (PV) power stations can improve their power-generating capacity, reduce operation and maintenance (O&M) costs, and effectively conserve energy and reduce emissions. However, the pressure of research and development (R&D) investment, as well as market demand uncertainty faced by PV technical suppliers, has become an obstacle to intelligent upgrading. From the perspective of R&D cost sharing between PV project operators and technical equipment suppliers in the PV supply chain, this study presents game models for suppliers and operators under the modes of R&D cost sharing and non-sharing, and compares the benefits to both parties under the cost-sharing contract. The results show that under the cost-sharing mode, the operators share a certain proportion of R&D costs with the suppliers, which can improve the effort level of R&D. The greater the impact of the power generation increased by intelligent products on market demand, the better the operator’s maintenance efforts, and the more motivated the operator is to choose the cost-sharing strategy. By setting a reasonable wholesale price for products, both parties can balance their profits.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/69aa7048531e4c4a9ff59e31https://doi.org/10.3390/systems14030277
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