Simultaneous optimization of size and short-term operation for an RO plant
The single day operation and size of a seawater reverse osmosis (RO) plant subject to a half-hourly varying electricity price is optimized. The study herein is an extension of Ghobeity and Mitsos, 2010 Desalination. Their model is modified to have a variable plant size controlled by the number of mo...
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Published in | Desalination Vol. 301; pp. 42 - 52 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Amsterdam
Elsevier B.V
03.09.2012
Elsevier |
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Online Access | Get full text |
ISSN | 0011-9164 1873-4464 |
DOI | 10.1016/j.desal.2012.06.009 |
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Abstract | The single day operation and size of a seawater reverse osmosis (RO) plant subject to a half-hourly varying electricity price is optimized. The study herein is an extension of Ghobeity and Mitsos, 2010 Desalination. Their model is modified to have a variable plant size controlled by the number of modules. The operating and capital costs are calculated as a function of size and operation. The objective of the optimization is to minimize the total annualized cost of the plant. The number of modules and the half-hourly varying operating frequency constitute the decision variables. The operation and size are optimized for four different electricity price functions: constant, moderately fluctuating, highly fluctuating, and actual electricity prices from a given day in Spain. The results show that variable operation and oversizing can produce savings of up to 7% for a highly fluctuating electricity price. The plant has a higher operating frequency when electricity is cheap and shuts off during periods of high electricity price when oversized. The size and day-by-day operation are also optimized for one year subject to Spain's electricity price. Little savings via oversizing are obtainable for the day-by-day optimization due to low fluctuations in the electricity price during the year.
► Optimized RO plant size and operation simultaneously with total annualized cost model ► Highly fluctuating electricity prices result in high TAC savings. ► Oversizing and long shut-off duration produce high TAC savings. ► Reducing operation costs can be more beneficial than reducing capital costs. ► TAC savings are also possible for day-by-day operation over a year with oversizing. |
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AbstractList | The single day operation and size of a seawater reverse osmosis (RO) plant subject to a half-hourly varying electricity price is optimized. The study herein is an extension of Ghobeity and Mitsos, 2010 Desalination. Their model is modified to have a variable plant size controlled by the number of modules. The operating and capital costs are calculated as a function of size and operation. The objective of the optimization is to minimize the total annualized cost of the plant. The number of modules and the half-hourly varying operating frequency constitute the decision variables. The operation and size are optimized for four different electricity price functions: constant, moderately fluctuating, highly fluctuating, and actual electricity prices from a given day in Spain. The results show that variable operation and oversizing can produce savings of up to 7% for a highly fluctuating electricity price. The plant has a higher operating frequency when electricity is cheap and shuts off during periods of high electricity price when oversized. The size and day-by-day operation are also optimized for one year subject to Spain's electricity price. Little savings via oversizing are obtainable for the day-by-day optimization due to low fluctuations in the electricity price during the year. The single day operation and size of a seawater reverse osmosis (RO) plant subject to a half-hourly varying electricity price is optimized. The study herein is an extension of Ghobeity and Mitsos, 2010 Desalination. Their model is modified to have a variable plant size controlled by the number of modules. The operating and capital costs are calculated as a function of size and operation. The objective of the optimization is to minimize the total annualized cost of the plant. The number of modules and the half-hourly varying operating frequency constitute the decision variables. The operation and size are optimized for four different electricity price functions: constant, moderately fluctuating, highly fluctuating, and actual electricity prices from a given day in Spain. The results show that variable operation and oversizing can produce savings of up to 7% for a highly fluctuating electricity price. The plant has a higher operating frequency when electricity is cheap and shuts off during periods of high electricity price when oversized. The size and day-by-day operation are also optimized for one year subject to Spain's electricity price. Little savings via oversizing are obtainable for the day-by-day optimization due to low fluctuations in the electricity price during the year. ► Optimized RO plant size and operation simultaneously with total annualized cost model ► Highly fluctuating electricity prices result in high TAC savings. ► Oversizing and long shut-off duration produce high TAC savings. ► Reducing operation costs can be more beneficial than reducing capital costs. ► TAC savings are also possible for day-by-day operation over a year with oversizing. |
Author | Williams, Christopher M. Mitsos, Alexander Pak, Alex J. Ghobeity, Amin |
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Keywords | Time-dependent optimal operation RO total annualized cost Optimal RO plant size Reverse osmosis Scheduling Short term Membrane separation Desalination Modeling Optimization Capital cost Seawater |
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SubjectTerms | Applied sciences Chemical engineering desalination Drinking water and swimming-pool water. Desalination Economics. Management. Design assessment electricity Exact sciences and technology Membrane separation (reverse osmosis, dialysis...) Natural water pollution operating capital Optimal RO plant size Pollution prices Reverse osmosis RO total annualized cost Scheduling seawater Seawaters, estuaries Spain Time-dependent optimal operation Water treatment and pollution |
Title | Simultaneous optimization of size and short-term operation for an RO plant |
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