﻿<?xml version="1.0" encoding="UTF-8"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>Journal of Food and Nutrition Research</journalTitle>
    <eissn>2333-1240</eissn>
    <publicationDate>2014-09-03</publicationDate>
    <volume>2</volume>
    <issue>9</issue>
    <startPage>567</startPage>
    <endPage>574</endPage>
    <doi>10.12691/jfnr-2-9-7</doi>
    <publisherRecordId>JFNR2014297</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Flow Field Analysis and Defrosting Cycle Optimization in a Large-scale Industrial Cold- storage Facility</title>
    <authors>
      <author>
        <name>Enhai Liu</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Tingting Yu</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Shengyong Liu</name>
        <email>ndshyliu@163.com</email>
        <affiliationId>2</affiliationId>
      </author>
      <author>
        <name>Hongwei Liu</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">School of Energy and Building Environment Engineering, Henan University of Urban Construction, Pingdingshan, China</affiliationName>
      <affiliationName affiliationId="2">Key Laboratory of Renewable Energy of Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China</affiliationName>
    </affiliationsList>
    <abstract language="eng">We report a joint theoretical and experiment analysis of an industrial cold-storage unit for a large-scale poultry processing enterprise in the Central Plains Economic Zone of China. The flow field inside the unit was analyzed using computational fluid dynamics, which identified an optimum forced air supply of 2.05 m s-1. The defrosting cycle was then optimized experimentally, resulting in an improved defrosting method and a monthly saving of 5,530 RMB in electricity costs. Furthermore, we achieved a reduction in the temperature variation of 1.82% and in the coefficient of performance variation of 1.89%. The refrigerating capacity and electricity costs per unit of production were decreased by 8.30% and 10.20%, respectively.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/jfnr/2/9/7/jfnr-2-9-7.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>
        <b>
        </b>cold storage</keyword>
      <keyword>numerical simulation</keyword>
      <keyword>flow-field characteristics</keyword>
      <keyword>defrosting cycle</keyword>
      <keyword>optimization</keyword>
    </keywords>
  </record>
</records>