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  <titleInfo>
    <title>Optimal design of inter-plant water network with centralized regeneration system</title>
  </titleInfo>
  <name type="personal">
    <namePart>Hazlinda Sapee</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiv, 64 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM</extent>
  </physicalDescription>
  <abstract>Water is a basic raw material in an industry. Without it, the production cannot run or will be hindered. But, nowadays we are lacking reliable sources of water.  In the future, two thirds of the world population will face water crisis or stress by the year 2025. In 2025, industrial growth will rapidly speed up, hence the sources of water will be limited. The negative effect of lack of sources of water make the cost of the water will be increasing. Hence, a new model has been developing based on water network superstructure to simultaneously generate the maximum water recovery targets and design minimum water network. Nowadays, water system integration becomes the research focus, because the technology is effective for saving fresh water and reducing wastewater generation. The purpose of this study is to develop a systematic technique for designing the minimum water network for inter-plant with centralized regeneration system. This  problem  is formulated  as  mixed  integer  nonlinear  programming  (MINLP)  based on water network superstructure and is implemented  in  Generalized  Algebraic  Modeling  System (GAMS) in order to obtain simultaneous minimum water targets and design of water networks. The effectiveness of the proposed model is illustrated by using an industrial case study. A significant reduction of fresh water consumption and waste water generation has been achieved, illustrating the effectiveness of the proposed approach. The result show the potential maximum freshwater and wastewater reduction are 53.63% and 61.65% respectively.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Hazlinda Sapee</note>
  <note>Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2012</note>
  <note>Bibliography : p. 39-40</note>
  <subject authority="lcsh">
    <topic>Sustainable engineering</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Chemical processes</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Chemical industry</topic>
    <topic>Energy conservation</topic>
  </subject>
  <identifier type="isbn">THE0003770(Local)</identifier>
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    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">121205</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204523.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000067404</recordIdentifier>
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