A Simplified Method For Estimating The Peak Load In The Large Cold Stores

In this paper a simplified method for estimating the peak load in the large coldstores is found and its occurrence day by utilizing two new variables A & B. Thefirst variable represents the number of days that is necessary for cooling theproduct (storage) up to the needed temperature according t...

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Main Authors: Aziz. J. Aziz, Obaid T. Fadhil, Ahmed A. M. Saleh
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2009-07-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_38169_6c0fb55dc2c4f16290019a37514f204e.pdf
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author Aziz. J. Aziz
Obaid T. Fadhil
Ahmed A. M. Saleh
author_facet Aziz. J. Aziz
Obaid T. Fadhil
Ahmed A. M. Saleh
author_sort Aziz. J. Aziz
collection DOAJ
description In this paper a simplified method for estimating the peak load in the large coldstores is found and its occurrence day by utilizing two new variables A & B. Thefirst variable represents the number of days that is necessary for cooling theproduct (storage) up to the needed temperature according to the daily temperaturedifferences only. The second variable represents the number of days required forcooling the total product (storage) depending upon the daily storage mass onlywithout returning back to the details of distribution of the daily thermal load that isfollowed in calculating thermal load for cold stores.By the demonstrative and analysis of the thermal load in cold stores with detailingstudy for each effective factors in estimating the thermal load characteristic isobserved that the factors daily temperature differences (D T) and storage mass(m) per day affect significantly in estimating the peak load values and day ofoccurrence.
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spelling doaj.art-20a6bc9f3a094d06a27f56f1c5588f1b2024-02-04T17:49:42ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582009-07-0127102132214110.30684/etj.27.10.1738169A Simplified Method For Estimating The Peak Load In The Large Cold StoresAziz. J. AzizObaid T. FadhilAhmed A. M. SalehIn this paper a simplified method for estimating the peak load in the large coldstores is found and its occurrence day by utilizing two new variables A & B. Thefirst variable represents the number of days that is necessary for cooling theproduct (storage) up to the needed temperature according to the daily temperaturedifferences only. The second variable represents the number of days required forcooling the total product (storage) depending upon the daily storage mass onlywithout returning back to the details of distribution of the daily thermal load that isfollowed in calculating thermal load for cold stores.By the demonstrative and analysis of the thermal load in cold stores with detailingstudy for each effective factors in estimating the thermal load characteristic isobserved that the factors daily temperature differences (D T) and storage mass(m) per day affect significantly in estimating the peak load values and day ofoccurrence.https://etj.uotechnology.edu.iq/article_38169_6c0fb55dc2c4f16290019a37514f204e.pdfcold storepeak load calculationdaily temperature differencedaily storage mass
spellingShingle Aziz. J. Aziz
Obaid T. Fadhil
Ahmed A. M. Saleh
A Simplified Method For Estimating The Peak Load In The Large Cold Stores
Engineering and Technology Journal
cold store
peak load calculation
daily temperature difference
daily storage mass
title A Simplified Method For Estimating The Peak Load In The Large Cold Stores
title_full A Simplified Method For Estimating The Peak Load In The Large Cold Stores
title_fullStr A Simplified Method For Estimating The Peak Load In The Large Cold Stores
title_full_unstemmed A Simplified Method For Estimating The Peak Load In The Large Cold Stores
title_short A Simplified Method For Estimating The Peak Load In The Large Cold Stores
title_sort simplified method for estimating the peak load in the large cold stores
topic cold store
peak load calculation
daily temperature difference
daily storage mass
url https://etj.uotechnology.edu.iq/article_38169_6c0fb55dc2c4f16290019a37514f204e.pdf
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