Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation

For many water-intensive processes, water reuse can reduce water consumption as well as effluent generation. Process integration approach based on graphical pinch methodology for targeting and water network synthesis is often employed. The integrity of water network design to achieve the minimum wat...

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Main Authors: Tan, Raymond R., Foo, Dominic C. Y., Abdul Manan, Zainuddin
Format: Article
Published: Pergamon-elsevier Science Ltd 2007
Subjects:
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author Tan, Raymond R.
Foo, Dominic C. Y.
Abdul Manan, Zainuddin
author_facet Tan, Raymond R.
Foo, Dominic C. Y.
Abdul Manan, Zainuddin
author_sort Tan, Raymond R.
collection ePrints
description For many water-intensive processes, water reuse can reduce water consumption as well as effluent generation. Process integration approach based on graphical pinch methodology for targeting and water network synthesis is often employed. The integrity of water network design to achieve the minimum water targets is highly sensitive to the availability of reliable process data. Existing network design process, however, assume that process data are fixed and well-defined, whereas the actual operating conditions such as water flowrate and the corresponding mass loads may fluctuate over time. These fluctuations in processing conditions can lead to process disruptions and product quality problems. This work demonstrates the use of Monte Carlo simulation in assessing the vulnerability of water networks to noisy mass loads. A case study illustrates the procedure of selecting the most robust network configuration from three alternative designs that achieve comparable water savings. (c) 2006 Elsevier Ltd. All rights reserved.
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spelling utm.eprints-86832017-10-19T00:59:15Z http://eprints.utm.my/8683/ Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation Tan, Raymond R. Foo, Dominic C. Y. Abdul Manan, Zainuddin TP Chemical technology For many water-intensive processes, water reuse can reduce water consumption as well as effluent generation. Process integration approach based on graphical pinch methodology for targeting and water network synthesis is often employed. The integrity of water network design to achieve the minimum water targets is highly sensitive to the availability of reliable process data. Existing network design process, however, assume that process data are fixed and well-defined, whereas the actual operating conditions such as water flowrate and the corresponding mass loads may fluctuate over time. These fluctuations in processing conditions can lead to process disruptions and product quality problems. This work demonstrates the use of Monte Carlo simulation in assessing the vulnerability of water networks to noisy mass loads. A case study illustrates the procedure of selecting the most robust network configuration from three alternative designs that achieve comparable water savings. (c) 2006 Elsevier Ltd. All rights reserved. Pergamon-elsevier Science Ltd 2007 Article PeerReviewed Tan, Raymond R. and Foo, Dominic C. Y. and Abdul Manan, Zainuddin (2007) Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation. Computers & Chemical Engineering, 31 (10). pp. 1355-1363. ISSN 0098-1354 http://dx.doi.org/10.1016/j.compchemeng.2006.11.005 10.1016/j.compchemeng.2006.11.005
spellingShingle TP Chemical technology
Tan, Raymond R.
Foo, Dominic C. Y.
Abdul Manan, Zainuddin
Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
title Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
title_full Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
title_fullStr Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
title_full_unstemmed Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
title_short Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
title_sort assessing the sensitivity of water networks to noisy mass loads using monte carlo simulation
topic TP Chemical technology
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AT abdulmananzainuddin assessingthesensitivityofwaternetworkstonoisymassloadsusingmontecarlosimulation