生物启发的计算智能基于元启发的优化和灵敏度分析方法,以确定燃料电池车辆气加油站的技术经济可行性
Paul C Okonkwo1, Samuel Chukwujindu Nwokolo2, Saad S Alarifi3
1Mechanical and Mechatronics Engineering Department, College of Engineering, Dhofar University, Salalah, Oman.
Scientific reports
|April 11, 2025
概括
光伏风力轮机电池 (PV-WT-B) 系统是阿曼气加油站最具成本效益的可再生能源解决方案. 这种混合系统为可持续运输提供了最低的成本和最佳投资回报.
科学领域:
- 可再生能源系统可再生能源系统
- 经济 经济
- 优化算法 优化算法
背景情况:
- 加油站 (HRS) 需要可靠且具有成本效益的电源.
- 奥曼的目标是通过可再生能源的整合来实现运输部门的脱碳.
- 评估混合可再生能源系统对于优化HRS经济至关重要.
研究的目的:
- 对阿曼尼兹瓦的HRS可再生混合动力系统进行全面的经济和技术评估.
- 通过使用高级优化来确定最具成本效益和效率的混合动力能源系统配置.
- 评估不同混合系统的可行性,包括光伏风力轮机电池 (PV-WT-B),光伏风能燃料电池电池 (PV-WT-FC-B) 和风力轮机电池 (WT-B).
主要方法:
- 基于净当前成本 (NPC),水平化能源成本 (LCOE) 和水平化成本 (LCOH) 的三个混合系统 (PV-WT-B,PV-WT-FC-B,WT-B) 的评估.
- 应用先进的优化技术:五月算法,遗传算法,CUKO搜索,灰狼优化器 (GWO),受约束粒子群优化 (CPSO),和搜索 (HS) 和花粉算法.
- 灵敏度分析以确定光伏容量和可再生能源部分等关键参数的影响.
主要成果:
- 约束粒子群优化 (CPSO) 产生了最低的NPC,LCOE和LCOH.
- 与WT-B相比,集光伏和风力轮机 (PV-WT-B,PV-WT-FC-B) 的混合系统显著减少了NPC.
- 增加的光伏 (PV) 容量与成本指标有着强烈的反向相关性,提高了经济可行性.
- 光伏-电-B系统表现出最佳的年度价值和投资回报,使其成为首选选择.
结论:
- 光伏风力轮-电池 (PV-WT-B) 系统是阿曼气加油站最经济可行和技术合适的解决方案.
- 太阳能 (PV) 的更高整合提高了混合动力系统的可持续性和成本效益.
- 这项研究为优化气生产和推进阿曼运输部门清洁能源转型提供了一个框架.
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