增强的粒子群集优化与对海上微型能源系统的混乱搜索
Weiguo Huang1, Wen Li1, Xuewen Pan1
1School of Information Engineering, Hunan University of Science and Engineering, Yonzhou, 425199, Hunan, China.
Scientific reports
|January 8, 2025
概括
使用新型模型优化离岸微型能源系统 (OMIES) 可以提高能源效率,降低成本和排放. 这项研究支持海上平台的可持续,低碳能源运营.
科学领域:
- 能源系统工程 能源系统工程
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 海上石油和天然气行业面临着越来越高的能源效率和减少环境影响的压力.
- 优化海上微型能源系统 (OMIES) 对可持续运营至关重要.
研究的目的:
- 开发和评估OMIES的多目标优化模型.
- 提高能源效率,降低运营成本,并尽量减少海上能源系统中的碳排放.
主要方法:
- 混沌局部搜索和粒子群优化 (PSO) 的整合.
- 开发一个考虑成本,排放,效率和风险的多目标优化模型.
- 在OMIES中探索可再生能源的整合.
主要成果:
- 在能源利用效率方面取得了显著的改善.
- 减少运营成本和环境污染.
- 在低碳运营中,证明了可再生能源的可行性.
结论:
- 建议的优化模型有效平衡运营成本,环境影响和能源效率.
- 这些发现为海上石油和天然气行业的可持续能源管理提供了有价值的策略.
- 该研究支持海上平台向低碳和安全能源的过渡.
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