Work

A blockchain-enhanced evolutionary game model for multi-agent collaboration in the photovoltaic industry chain

Year: 2026

Type: article

Abstract: Driven by the carbon neutrality agenda, the collaborative development of the photovoltaic (PV) industry chain faces dual challenges: behavioral heterogeneity among multiple stakeholders and the absence of a decentralized trust mechanism. Existing research exhibits notable limitations in the completeness of participant modeling, the quantification of blockchain effects, and the dynamic adaptability of incentive mechanisms. To address these gaps, this paper constructs a blockchain-enabled cooperative governance framework encompassing four core actors: PV power generation enterprises, power grids, users, and government entities. A four-party evolutionary game model is developed, integrating blockchain-based trust mechanisms and cost constraints. The model innovatively endogenizes default penalties, trust enhancement, and behavioral preferences into the payoff structure, and designs a multi-dimensional incentive system including subsidies, rewards, and penalties. Numerical simulations demonstrate that the blockchain platform significantly enhances the stability of cooperation and accelerates strategic convergence. Furthermore, appropriately calibrated subsidies and dynamic performance-based rewards effectively incentivize collaboration, while user power supply preferences and default penalties are identified as key variables influencing system evolution. Compared with a traditional three-party model, the proposed four-party model exhibits superior performance in terms of convergence speed and system stability. This study provides theoretical support for building a trustworthy, efficient, and sustainable governance system for the PV industry, and offers actionable policy recommendations in areas such as cost regulation, tiered incentives, differentiated tariffs, and smart contract implementation.

Source: Energy

DOI: 10.1016/j.energy.2026.140345

Authors: Wencheng Chen, Jun Wang, Jun Wang, Jeng-Shyang Pan, Jin Wang, Jin Wang

Institutions: Fuzhou University, Hunan University of Science and Technology, Nanjing University of Information Science and Technology

Language: English

Topic: Blockchain Technology Applications and Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Climate action

Open Access status: hybrid

Estimated APC paid: $4,260