变风量末端测点优化与智能补偿协调研究

项目名称： 变风量末端测点优化与智能补偿协调研究

项目编号： No.51508446

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 建筑科学

项目作者： 闫秀英

作者单位： 西安建筑科技大学

项目金额： 20万元

中文摘要： 变风量空调系统融合了建筑、环境与信息控制等技术，受确定与不确定性因素影响，面临很多挑战。变风量末端作为核心部分，其控制、节能措施直接影响整个系统运行效果。本项目以空调系统节能降耗为目标，以人体舒适度与室内空气质量为指导，末端解耦协调为突破点，采用理论分析、仿真与实验相结合的方法，对变风量末端测点进行优化与补偿协调研究。采用粒子群—支持向量机模型预测控制方法进行负荷预测模型研究，利用信息融合技术揭示气候变化对空调系统的影响规律，研究补偿措施。仿真模拟与实验结合研究室内最佳温度检测点，利用关联预测平衡协调策略，以在线混合协调优化控制结构为总体框架，协调各末端补偿器，解决房间耦合，优化系统运行工况。研究末端系统多目标协同优化，为提高建筑环境质量和节能降耗提供基础理论与技术支撑，有重要的理论意义和科学价值。

中文关键词： 变风量末端；补偿；协调；优化

英文摘要： The variable air volume air-conditioning system is a fusion of architecture, environment and information and control technologies, and faces many challenges under certain and uncertain factors. Variable air volume teminal, whose control and energy-saving measures directly influence the operation efficiency of the whole system, is the core part.Taking energy-saving as the objective, human comfort and indoor air quality as guidance, terminal decouping coordination may bring a breakthrough in the research on detection optimization and compensation coordination in air-conditioning terminal system with combining theoretical analysis, simulation and experiment methods. Load prediction model will be studied through particle swarm-support prediction method. Laws of the effects of climate change on the air conditioning system are revealed. And compensation is researched. The optimized indoor temperature detection point will be obtained by simulation and experiment. With interaction prediction balance method, the online hybrid coordination optimal control frame is formed to coordinate and decouple terminal compensation. Then the system works in optimal operational conditions with optimized paratmeters. The research on collaborative optimal scheme with multi-objectives provides theoretical foundation and technical support for improving built environment quality and energy-saving, and has important theoretical meaning and scientific value.

英文关键词： Variable Air Volume Termina;Compensation;Coordination;Optimization