基于人工原生动物优化器的光伏/柴油混合系统的修改能源管理策略,以减少柴油消耗
Rania G Mohamed1, Amal A Hassan2, Shady H E Abdel Aleem1
1Department of Electrical Engineering, Institute of Aviation Engineering and Technology, Giza, 12658, Egypt.
Scientific reports
|February 5, 2025
概括
本研究介绍了光伏 (PV) /柴油混合系统的优化能源管理策略. 新方法显著减少了柴油使用和碳排放,同时促进了工业应用的太阳能利用.
科学领域:
- 可再生能源系统可再生能源系统
- 可持续的工业运作 可持续的工业运作
- 混合动力发电是混合动力发电的一种方式.
背景情况:
- 光伏 (PV) /柴油混合系统 (PV / D-HS) 对于满足工业能源需求至关重要.
- 优化这些系统是减少对化石燃料的依赖和环境影响的关键.
- 目前的策略往往不能最大限度地利用太阳能,并最大限度地减少柴油消耗.
研究的目的:
- 开发和评估用于PV/D-HS的改进能源管理策略.
- 通过减少柴油消耗和增加太阳能能量分数 (SEF) 来提高光伏/D-HS的性能.
- 通过优化混合系统,尽量减少工业能源发电对环境的影响.
主要方法:
- 对于光伏/D-HS的动态电源管理策略.
- 在不同的太阳能条件和能源需求下,基于模拟的性能分析.
- 对传统能源管理方法进行比较评估.
主要成果:
- 与独立的柴油发电机相比,碳排放量减少了38% (从每天62公斤降至每天38公斤).
- 太阳能分数 (SEF) 提高了23% (从12%提高到35%).
- 证明了柴油消耗和运营成本的降低.
结论:
- 拟议的能源管理战略显著提高了光伏/D-HS的可持续性.
- 该战略有效降低了温室气体排放和对化石燃料的依赖.
- 这种方法为可持续的工业能源需求提供了实用和可靠的解决方案.
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