Model predictive control for water management and energy security in arid/semiarid regions
This paper aims to develop a realistic operational optimal management of a water supply system in an arid/semiarid region under climate change conditions. The developed model considers the dynamic variation of water demand, rainfall, weather, and seasonal change in electricity price. It is mathemati...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2022-12-01
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| Series: | Journal of Automation and Intelligence |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949855422000016 |
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| author | D.M. Bajany L. Zhang X. Xia |
| author_facet | D.M. Bajany L. Zhang X. Xia |
| author_sort | D.M. Bajany |
| collection | DOAJ |
| description | This paper aims to develop a realistic operational optimal management of a water supply system in an arid/semiarid region under climate change conditions. The developed model considers the dynamic variation of water demand, rainfall, weather, and seasonal change in electricity price. It is mathematically developed as a multi-constraint non-linear programming model based on model predictive control principles. The model optimises the quantities of water supplied by each source every month and improves the energy efficiency in a water supply system with multiple types of sources. The effectiveness of the developed MPC model is verified by applying it to a case study and comparing the results with those obtained with an open loop model. Results showed that using the MPC model leads to a 4.16% increase in the water supply cost compared to the open loop model. However, when considering uncertainties in predicting water demands, aquifer recharges, rainfall, and evaporation rate, the MPC model was better than the open loop model. Indeed, the MPC model could meet the water demand at any period due to its predictability of variations, which was not the case with the open loop model. Moreover, a sensitivity analysis is conducted to verify the capacity of the developed model to deal with some phenomena due to climatic changes, such as in rainfall. |
| format | Article |
| id | doaj-art-591aa5a9b690478c8f3d7957486163f2 |
| institution | OA Journals |
| issn | 2949-8554 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Automation and Intelligence |
| spelling | doaj-art-591aa5a9b690478c8f3d7957486163f22025-08-20T01:49:31ZengKeAi Communications Co., Ltd.Journal of Automation and Intelligence2949-85542022-12-011110000110.1016/j.jai.2022.100001Model predictive control for water management and energy security in arid/semiarid regionsD.M. Bajany0L. Zhang1X. Xia2Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa; Corresponding author.School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, ChinaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South AfricaThis paper aims to develop a realistic operational optimal management of a water supply system in an arid/semiarid region under climate change conditions. The developed model considers the dynamic variation of water demand, rainfall, weather, and seasonal change in electricity price. It is mathematically developed as a multi-constraint non-linear programming model based on model predictive control principles. The model optimises the quantities of water supplied by each source every month and improves the energy efficiency in a water supply system with multiple types of sources. The effectiveness of the developed MPC model is verified by applying it to a case study and comparing the results with those obtained with an open loop model. Results showed that using the MPC model leads to a 4.16% increase in the water supply cost compared to the open loop model. However, when considering uncertainties in predicting water demands, aquifer recharges, rainfall, and evaporation rate, the MPC model was better than the open loop model. Indeed, the MPC model could meet the water demand at any period due to its predictability of variations, which was not the case with the open loop model. Moreover, a sensitivity analysis is conducted to verify the capacity of the developed model to deal with some phenomena due to climatic changes, such as in rainfall.http://www.sciencedirect.com/science/article/pii/S2949855422000016Water supply managementModel predictive controlEnergy-water nexus |
| spellingShingle | D.M. Bajany L. Zhang X. Xia Model predictive control for water management and energy security in arid/semiarid regions Journal of Automation and Intelligence Water supply management Model predictive control Energy-water nexus |
| title | Model predictive control for water management and energy security in arid/semiarid regions |
| title_full | Model predictive control for water management and energy security in arid/semiarid regions |
| title_fullStr | Model predictive control for water management and energy security in arid/semiarid regions |
| title_full_unstemmed | Model predictive control for water management and energy security in arid/semiarid regions |
| title_short | Model predictive control for water management and energy security in arid/semiarid regions |
| title_sort | model predictive control for water management and energy security in arid semiarid regions |
| topic | Water supply management Model predictive control Energy-water nexus |
| url | http://www.sciencedirect.com/science/article/pii/S2949855422000016 |
| work_keys_str_mv | AT dmbajany modelpredictivecontrolforwatermanagementandenergysecurityinaridsemiaridregions AT lzhang modelpredictivecontrolforwatermanagementandenergysecurityinaridsemiaridregions AT xxia modelpredictivecontrolforwatermanagementandenergysecurityinaridsemiaridregions |