期刊文献+

基于精准按需供能的中央空调开机调度研究

Research on central air conditioning start-up scheduling based on accurate energy supply according to the demand
下载PDF
导出
摘要 为满足企业节能降耗要求,解决生产车间中央空调开机调度问题,提出一种基于精准按需供能的调度方法。为获取中央空调系统的运作信息,通过分析不同季节的空调机理总结出运行工况,获取空调机组的运行参数,使用温湿度采集器采集数据,并利用加权平均计算出不同区域的温湿度。针对机器设备故障和温湿度变化两种扰动因素,采用双反馈机制重调度策略并设置预留安全值。为解决具有动态联动关系的空调机组调度问题,以调控时间和能源损耗为优化目标函数,构建以精准按需供能的调度模型。相比于原调度方法,该调度模型时间效率提升了22.08%,能源损耗降低了16.7%。 In order to solve the start-up scheduling problem of central air conditioning in production workshops and meet the requirements of energy saving and consumption reduction in enterprises,a scheduling method based on precise energy supply is proposed.In order to acquire the operation information of the central air conditioning system,the operating conditions are summarized by analyzing the air conditioning mechanism in different seasons,and the operating parameters of the air conditioning unit are obtained.The temperature and humidity collector is used to collect data,and the temperature and humidity information of different regions is calculated by weighted average.The rescheduling strategy is proposed and the reserved safety value is set according to the two disturbance factors such as machine and equipment failure and temperature and humidity change.In order to solve the scheduling problem of air conditioning units with dynamic linkage relationship,a scheduling model with accurate energy supply according to the demand is constructed.The objective function of optimization is control time and energy loss.Compared with the original scheduling method,the scheduling model improves the time efficiency by 22.08%and reduces the energy consumption by 16.7%.
作者 王可 何利力 WANG Ke;HE Lili(School of Informatics Science and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China)
出处 《智能计算机与应用》 2022年第6期110-115,共6页 Intelligent Computer and Applications
基金 浙江省重点研发计划项目(2021C01110)
关键词 中央空调 开机调度 动态联动关系 能源损耗 按需供能 central air conditioning start-up scheduling dynamic linkage relationship energy loss accurate energy supply according to the demand
  • 相关文献

参考文献4

二级参考文献27

  • 1张超勇,饶运清,刘向军,李培根.基于POX交叉的遗传算法求解Job-Shop调度问题[J].中国机械工程,2004,15(23):2149-2153. 被引量:111
  • 2程线,程森林,蒋阳.生产调度系统实时数据库平台建设[J].重庆大学学报(自然科学版),2005,28(2):89-92. 被引量:5
  • 3张洁,王玮,方海松,程扬.基于双反馈控制和分阶段调度的光纤生产调度[J].机械工程学报,2006,42(11):125-130. 被引量:3
  • 4刘飞,鄢萍,贺德强.网络化制造系统中的多功能交互式信息终端:中国,ZL02113585.1[P].2003-10-22.
  • 5鞠全勇,朱剑英.多目标批量生产柔性作业车间优化调度[J].机械工程学报,2007,43(8):148-154. 被引量:64
  • 6LIU S Q, ONG H L, NG K M . Metaheuristics for minimizing the makespan of the dynamic shop scheduling problem [ J ]. Advances in Engineering Software, 2005, 36(3) :199- 205.
  • 7LI L, JIANG Z. Self-adaptive dynamic scheduling of virtual production systems[J]. International Journal of Production Research, 2007, 45(9):1937-1951.
  • 8LIU S, SHIH K. Construction rescheduling based on a manufacturing rescheduling framework [ J ]. Automation in Construction, 2009, 18(6) :715-723.
  • 9HE L, LIU Y, XIE H, et al. Job shop dynamic scheduling model based on multi-agent[C]// Chinese Control and Decision Conference 2008, Yantai, China, July 2 4, 2008. [s. l. ]: Institute of Electrical and Electronics Engineers Inc, 2008:829-833.
  • 10GHOLAMI M, ZANDIEH M. Integrating simulation and genetic algorithm to schedule a dynamic flexible job shop[J]. Journal of Intelligent Manufacturing, 2009, 20(4) : 481-498.

共引文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部