基于大数据分析的制冷站运行预测及节能优化
Operation prediction and energy saving optimization of refrigeration stations based on big data analysis
摘要：
通过对深圳地区某研究基地建筑群空调能耗的分析，利用大数据预测分析手段，结合专家规则库，开发了适用的能效管理平台。给出了制冷机房一天内的节能运行策略，在满足末端需求的基础上有效降低了系统运行电耗，提升了制冷站的能效水平，减少了人工干预的不利影响。
关键词：制冷站运行,大数据分析,冷量预测,系统优化,节能
Abstract：
Based on the analysis of air conditioning energy consumption of a research base in Shenzhen, develops a suitable energy efficiency management platform by big data prediction analysis method and expert rule base. Proposes an energy saving operation strategy of the refrigeration station in one day, which can meet the terminal demand as well as effectively reduce the power consumption of the system, improve the energy efficiency level of the refrigeration station, and reduce the adverse effects of manual intervention.
Keywords:refrigeration station operation, big data analysis, cooling capacity prediction, system optimization, energy saving