基于PII-AWOA的压缩制冷系统中冷却水温度的同步优化
Na Dong1, Xianzheng Li1, Changbin Li1
1Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
ISA transactions
|April 23, 2025
概括
这项研究引入了一种新方法,通过同步冷却水的温度与蒸发和凝结压力来优化空调的能源使用. 一个先进的优化算法显著降低了能源消耗,提高了系统效率.
科学领域:
- 工程 工程师 工程师 工程师
- 能源科学 能源科学
- 计算机科学 计算机科学
背景情况:
- 空调系统是主要的能源消费者,推动了提高效率的需求.
- 在全球范围内优化蒸汽压缩制冷系统仍然是一个复杂的挑战.
- 冷水温度是系统效率的一个关键参数.
研究的目的:
- 为蒸汽压缩制冷系统提出一种新的优化策略.
- 为了减少空调系统的能源消耗.
- 开发一个增强的优化算法,以提高性能.
主要方法:
- 同步冷却水温度与蒸发和凝结压力,以同时优化.
- 开发基于人口信息交互 (PII-AWOA) 的自适应性鱼优化算法.
- 实施人口信息利用和适应性措施,以平衡勘探和开发.
主要成果:
- 拟议的战略在稳定状态运行时显著降低了能源消耗.
- PII-AWOA算法显示出卓越的收精度,并避免了测试函数的局部最小值.
- 对比分析表明,PII-AWOA比ZOA算法更快地趋同,并具有比ZOA算法更好的节能潜力.
结论:
- 新的优化策略有效降低了制冷系统的能源消耗.
- PII-AWOA算法为优化任务提供了更高的精度和稳定性.
- 这种方法代表了节能空调的重大进步.
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