Forced circulation solar water heater performance prediction by TRNSYS and ANN

The design and applicability of solar water heating systems requires a satisfactory prediction of collector outlet water temperature and the useful energy delivered over a wide range of climatic conditions. Transient system simulation program is extensively used for this purpose, and recently artifi...

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Main Authors: Wongsuwan W., Kumar S.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-23944493660&partnerID=40&md5=cb879da3b4f84bc10a1deef99fa02b42
http://cmuir.cmu.ac.th/handle/6653943832/1284
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-12842014-08-29T09:29:04Z Forced circulation solar water heater performance prediction by TRNSYS and ANN Wongsuwan W. Kumar S. The design and applicability of solar water heating systems requires a satisfactory prediction of collector outlet water temperature and the useful energy delivered over a wide range of climatic conditions. Transient system simulation program is extensively used for this purpose, and recently artificial neural networks have also been considered. This article presents the results of a study carried out to compare the performance prediction by these two methods in a tropical location under different climatic conditions. Experimental collector outlet temperature, storage tank temperatures and the useful energy values were compared with the results of the simulation by these two methods. Hourly and daily values under different conditions were also compared. Details of the experimental set up and observations, the módeling procedure used and the statistical measures to compare the capabilities of the two methods under clear, partly cloudy, and cloudy conditions have been described. The prediction of both the methods are found to be good for both hourly and daily estimations, and the specific requirements for satisfactory performance prediction of each of the methods have been detailed. © 2005 Taylor & Francis Ltd. 2014-08-29T09:29:04Z 2014-08-29T09:29:04Z 2005 Article 1478646X 10.1080/14786450512331329565 http://www.scopus.com/inward/record.url?eid=2-s2.0-23944493660&partnerID=40&md5=cb879da3b4f84bc10a1deef99fa02b42 http://cmuir.cmu.ac.th/handle/6653943832/1284 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description The design and applicability of solar water heating systems requires a satisfactory prediction of collector outlet water temperature and the useful energy delivered over a wide range of climatic conditions. Transient system simulation program is extensively used for this purpose, and recently artificial neural networks have also been considered. This article presents the results of a study carried out to compare the performance prediction by these two methods in a tropical location under different climatic conditions. Experimental collector outlet temperature, storage tank temperatures and the useful energy values were compared with the results of the simulation by these two methods. Hourly and daily values under different conditions were also compared. Details of the experimental set up and observations, the módeling procedure used and the statistical measures to compare the capabilities of the two methods under clear, partly cloudy, and cloudy conditions have been described. The prediction of both the methods are found to be good for both hourly and daily estimations, and the specific requirements for satisfactory performance prediction of each of the methods have been detailed. © 2005 Taylor & Francis Ltd.
format Article
author Wongsuwan W.
Kumar S.
spellingShingle Wongsuwan W.
Kumar S.
Forced circulation solar water heater performance prediction by TRNSYS and ANN
author_facet Wongsuwan W.
Kumar S.
author_sort Wongsuwan W.
title Forced circulation solar water heater performance prediction by TRNSYS and ANN
title_short Forced circulation solar water heater performance prediction by TRNSYS and ANN
title_full Forced circulation solar water heater performance prediction by TRNSYS and ANN
title_fullStr Forced circulation solar water heater performance prediction by TRNSYS and ANN
title_full_unstemmed Forced circulation solar water heater performance prediction by TRNSYS and ANN
title_sort forced circulation solar water heater performance prediction by trnsys and ann
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-23944493660&partnerID=40&md5=cb879da3b4f84bc10a1deef99fa02b42
http://cmuir.cmu.ac.th/handle/6653943832/1284
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