Prediction-based online optimal control of outdoor air of multi-zone VAV air conditioning systems

Xinqiao Jin; Haigang Ren; Xiaokun Xiao

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Prediction-based online optimal control of outdoor air of multi-zone VAV air conditioning systems

机译：基于预测的多区域VAV空调系统室外空气在线最优控制

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摘要

An optimal strategy for outdoor air control is developed using a system approach based on prediction to minimize energy consumption. ARMA model is used to predict the energy performance which is expressed by an energy-increment equation. The energy-increment equation is formed to involve the real-time variations of AHU load and energy use of reheaters of VAV terminals. To minimize the Energy-increment equation by genetic algorithm, the optimal settings of outdoor air ratio of AHU and reheating could be obtained. The strategy is tested and evaluated in a simulated environment under various outdoor and indoor conditions.

机译：使用基于预测的系统方法来开发室外空气控制的最佳策略，以最大程度地减少能耗。 ARMA模型用于预测由能量增量方程表示的能量性能。能量增加方程式的形成涉及AHU负载的实时变化和VAV终端再热器的能量使用。为了通过遗传算法使能量增加方程最小化，可以得到AHU室外空气比和再热的最佳设置。该策略在各种室外和室内条件下的模拟环境中进行测试和评估。

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来源
《Energy and Buildings》 |2005年第9期|p.939-944|共6页
作者
Xinqiao Jin; Haigang Ren; Xiaokun Xiao;
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作者单位

Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类房屋建筑设备;
关键词
VAV air conditioning systems; outdoor air control; energy-increment equation;

机译：变风量空调系统;室外空气控制;能量增量方程;

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1. A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method [J] . Li Wenzhuo, Wang Shengwei, Koo Choongwan Applied Energy . 2021,第Apra1期

机译：采用基于多功能代理的分布式优化方法的多区VAV空调系统实时最优控制策略
2. A model-based optimal ventilation control strategy of multi-zone VAV air-conditioning systems [J] . Xinhua Xu, Shengwei Wang, Zhongwei Sun, Applied thermal engineering: Design, processes, equipment, economics . 2009,第1期

机译：多区域VAV空调系统基于模型的最佳通风控制策略
3. Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PICA method [J] . Jin XQ, Du ZM Applied thermal engineering: Design, processes, equipment, economics . 2006,第11a12期

机译：使用PICA方法对VAV空调系统中的室外空气和AHU送风温度进行容错控制
4. Research on multi-zone VAV air conditioning system modeling [C] . Wei Dong, Liu Xi 2012 10th World Congress on Intelligent Control and Automation. . 2012

机译：多区域VAV空调系统建模研究
5. Impact of Implementing a Dedicated Outdoor Air System in Parallel with a Multi-Zone Variable-Air Volume System on Energy Consumption, Thermal Comfort, and Life Cycle Cost [D] . Alghamdi, Khaled. 2019

机译：在能耗，热舒适度和生命周期成本上平行实施专用室外空气系统的影响。
6. Impact of Air Conditioning Systems on the Outdoor Thermal Environment during Summer in Berlin Germany [O] . Luxi Jin, Sebastian Schubert, Mohamed Hefny Salim, 2020

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7. A model-based optimal ventilation control strategy of multi-zone VAV air-conditioning systems [O] . Xu X, Wang S, Sun Z, 2009

机译：多区域VAV空调系统基于模型的最佳通风控制策略
8. Energy Cost and IAQ Performance of Ventilation Systems and Controls. Report 3: Assessment of CV and VAV Ventilation Systems and Outdoor Air Control Strategies for Large Office Buildings. Zonal Distribution of Outdoor Air and Thermal Comfort Control. [R] . 2000

机译：通风系统和控制的能源成本和IaQ性能。报告3：评估大型办公楼的CV和VaV通风系统和室外空气控制策略。室外空气的区域分布和热舒适控制。

Prediction-based online optimal control of outdoor air of multi-zone VAV air conditioning systems

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