Optimal carbon capture and storage deployment strategies for fossil-energy power supply chain with service-based provision and consumer environmental recognition: a differential game analysis

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a dynamic game-theoretic framework for analyzing CCS adoption with service provision and consumer feedback, useful for modeling similar decarbonization technologies.

🏢実務担当者:Offers insights into optimal CCS deployment and pricing strategies under third-party services, relevant for power supply chain managers and CCS service providers.

🏛政策担当者:Highlights the role of carbon pricing and demand management in enabling commercial CCS, and the efficiency gains from centralized coordination.

Carbon capture and storage (CCS) is a key technology for decarbonizing fossil-energy power systems while maintaining reliable electricity supply, whose large-scale deployment is often constrained by high investment costs and infrastructure-coordination barriers. Emerging third-party CCS services provide a potential pathway for reducing these barriers, but it remains unclear how such service-based arrangements affect CCS adoption and electricity pricing. To fill this gap, this study performs a differential game analysis to explore optimal CCS deployment and electricity pricing decisions in fossil-energy power supply chains under third-party CCS services and consumer environmental recognition. The analysis characterizes dynamic strategic interactions among supply chain participants and captures goodwill evolution as the demand feedback induced by CCS adoption. Equilibrium strategies are derived under alternative trading models with different levels of cooperation and goodwill recognition. Numerical analysis is conducted to reveal the impacts of carbon price, generation cost, electricity demand, and consumer environmental recognition on the outcomes. The results show that: (1) consumer environmental recognition generates stable goodwill dynamics to reinforce CCS adoption incentives across trading models; (2) centralized decision-making improves supply chain efficiency and strengthens the market viability of service-based CCS deployment; and (3) electricity demand significantly affects the equilibrium outcomes, with critical demand thresholds reshaping CCS adoption and electricity pricing. This study provides a theoretical framework and decision outcomes for the fossil-energy power supply chain to achieve optimal CCS deployment and electricity-pricing decisions under third-party CCS services, thereby facilitating commercially viable large-scale CCS deployment while maintaining compatibility with existing electricity pricing levels.

• openalex https://doi.org/10.3389/fenvs.2026.1885359first seen 2026-07-15 05:03:24