Analysis of the Performance of a Passive Downdraught Evaporative Cooling System Driven by Solar Chimneys in a Residential Building by Using an Experimentally Validated TRNSYS Model

被引:7
|
作者
Soto, Andres [1 ]
Martinez, Pedro [1 ]
Soto, Victor M. [2 ]
Martinez, Pedro J. [1 ]
机构
[1] Miguel Hernandez Univ, Dept Mech Engn & Energy, Avda Univ S-N Ed Innova, Elche 03202, Spain
[2] Univ Politecn Valencia, Dept Appl Thermodynam, Camino Vera S-N, Valencia 46022, Spain
关键词
evaporative cooling; wind tower; solar chimneys; solar cooling; TRNSYS simulation; NATURAL VENTILATION; HOT;
D O I
10.3390/en14123486
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Natural ventilation, combined with a passive cooling system, can provide significant energy savings in the refrigeration of indoor spaces. The performance of these systems is highly dependent on outdoor climatic conditions. The objective of this study was to analyse the feasibility of a passive, downdraught, evaporative cooling system driven by solar chimneys in different climatic zones by using an experimentally validated simulation tool. This tool combined a ventilation model and a thermal model of the dwelling in which an empirical model of a direct evaporative system made of plastic mesh was implemented. For experimental validation of the combined model, sensors were installed in the dwelling and calibrated in the laboratory. The combined model was applied to Spanish and European cities with different climates. In the simulation, values of cooling energy per volume of air ranging between 0.53 Wh/m(3) and 0.79 Wh/m(3) were obtained for Alicante (hot climate with moderate humidity) and Madrid (hot and dry climate), respectively. In these locations, medium and high applicability was obtained, respectively, in comparison with Burgos (cold climate with moderate humidity) and Bilbao (cold and humid climate), which were low. The evaluation of the reference building in each location allowed establishing a classification in terms of performance, comfort and applicability for each climate.
引用
收藏
页数:16
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