Guo Qiang, Hasani Reza
School of Management, Xinxiang University, Xinxiang, 453003, Henan, China.
Islamic Azad University Central Tehran Branch, Tehran, Iran.
Heliyon. 2024 Aug 29;10(17):e36870. doi: 10.1016/j.heliyon.2024.e36870. eCollection 2024 Sep 15.
This study investigates the impact of water resource restrictions on thermoelectric and hydroelectric stations, analyzing its influence on demand and electricity prices. It uses General Circulation Models (GCMs) and Soil and Water Assessment Tools (SWAT) to forecast future temperature trends and estimate river flow patterns. The research provides insights into climate change's potential effects on water resources and electricity potential. The study shows a significant decrease in river flow, indicating potential issues with hydroelectric and thermoelectric systems. The study also uses an optimized Echo State Network (ESN) for accurate electricity demand, using the Modified Snow Leopard Optimization (MSLO) algorithm as a new metaheuristic model. The simulation results show a consistent increase in electricity demand scenarios, which is expected to lead to higher supply prices due to decreased production capacity. This could have significant economic effects. The investigation provides a comprehensive understanding of water resource management challenges in power production, aiding in informed decisions in the future energy industry.
本研究调查了水资源限制对热电厂和水电站的影响,分析其对需求和电价的影响。它使用通用环流模型(GCMs)和土壤与水评估工具(SWAT)来预测未来的温度趋势并估计河流流量模式。该研究提供了关于气候变化对水资源和电力潜力的潜在影响的见解。研究表明河流流量显著减少,这表明水电和热电系统可能存在问题。该研究还使用优化的回声状态网络(ESN)来准确预测电力需求,采用改进的雪豹优化(MSLO)算法作为一种新的元启发式模型。模拟结果显示电力需求情景持续增加,由于产能下降,预计这将导致供应价格上涨。这可能会产生重大的经济影响。该调查全面了解了电力生产中的水资源管理挑战,有助于未来能源行业做出明智决策。