动力与电气工程

基于谐波反应法的净化空调系统节能研究

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  • 1.中国科学院广州能源研究所∥中国科学院可再生能源与天然气水合物重点实验室,广东 广州 510640;2.华南理工大学 电力学院,广东 广州 510640
叶灿滔(1980-),男,工程师,主要从事可再生能源技术建筑一体化研究.

收稿日期: 2012-12-07

  修回日期: 2013-09-04

  网络出版日期: 2013-11-19

基金资助

国家科技支撑计划项目(2011BAG07B05-5);广东省科技计划项目(2012A010800039, 2012A010800024)

Research on Energy Saving for Clean Air Conditioning System Based on Harmonic Response Method

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  • 1.Key Laboratory of Renewable Energy and Gas Hydrate,Guangzhou Institute of Energy Conversion,Chinese Academy ofSciences,Guangzhou 510640,Guangdong,China; 2.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China
叶灿滔(1980-),男,工程师,主要从事可再生能源技术建筑一体化研究.

Received date: 2012-12-07

  Revised date: 2013-09-04

  Online published: 2013-11-19

Supported by

国家科技支撑计划项目(2011BAG07B05-5);广东省科技计划项目(2012A010800039, 2012A010800024)

摘要

结合夏热冬暖地区的气候特征,建立了一间洁净室的物理模型,采用谐波反应法对净化空调系统逐时冷、湿负荷进行了数值计算,分析围护结构和空气处理过程对冷负荷的影响,并将模型计算结果与实际工况进行了对比验证.结果表明:外遮阳装置的节能潜力较大,室内逐时冷负荷下降幅度最大可达13.6%;相同外界条件下,与一次回风处理过程相比,独立新风系统节能效果明显,节能率最大可达38.3%;与测试结果比较,冷负荷计算值平均误差为10%,表明所建立的模型可靠.

本文引用格式

叶灿滔 马伟斌 刘金平 刘雪峰 . 基于谐波反应法的净化空调系统节能研究[J]. 华南理工大学学报(自然科学版), 2013 , 41(12) : 81 -89 . DOI: 10.3969/j.issn.1000-565X.2013.12.014

Abstract

According to the characteristics of the climate in a zone with hot summer and warm winter,a physicalmodel of a clean room was built.Then,based on the harmonic response method,a numerical calculation of thehourly cooling and moisture load in the modeled clean room with a clean air conditioning system was carried out.Moreover,the effects of the building envelope and the hydrothermal process on the hourly cooling load were ana-lyzed,with the results being finally compared with the actual operation data.It is found that (1) the exterior win-dow shades are of great energy- saving potential,with an indoor hourly cooling load reduction being up to 13.6%;(2) under the same external conditions,the dedicated outdoor air system is superior to the primary return air sys-tem,with a maximum energy- saving rate being up to 38.3%; and (3) the average calculation error of cooling loadis only 10%,which means that the established physical model is reliable.

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