Idris, Ahmad Muzammil and Ho, Wai Shin and Hui, Liu Wen and Ramli, Ahmad Fakrul and Mohtar, Aminullah and Hashim, Haslenda and Muis, Zarina Ab and Lim, Jeng Shiun and Liew, Peng Yen (2018) Water-Energy Nexus Cascade Analysis (WENCA) for simultaneous water-energy system optimisation. Chemical Engineering Transactions, 63 . pp. 271-276. ISSN 2283-9216
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Official URL: http://dx.doi.org/10.3303/CET1863046
Abstract
This paper presents a new numerical method called the Water-Energy Nexus Cascade Analysis (WENCA), developed based on the principal of Pinch Analysis. Water and energy are both valuable resources that are majorly used in industrial processes. Both water and energy are interdependent where increasing water demand will increase the energy demand and vice versa. In this paper, WENCA is introduced to simultaneously optimise both water and energy system that is interdependent. The methodology applies Cascade Analysis to individually optimise both system. As both systems are interdependent, altering one of the system will result in a change to the other system. An iterative method is then introduced to converge the analysis to obtain the optimal result for both systems. A case study comprising of both electricity and water demand of 6,875 kWh and 3,000 m3 from a residential area with 1,000 unit of houses is applied in this work. The electricity demand is met using fuel cell where hydrogen is produced through coal gasification (which utilised water as it raw material), a water treatment plant (WTP) is also introduced for water treatment to fulfil the water demands. The optimal result reveals that the WTP capacity is 3,200.73 m3, its corresponding water storage tank capacity is 175 m3, hydrogen power plant is 9 MW and its corresponding energy storage capacity is 4.13 MW.
Item Type: | Article |
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Uncontrolled Keywords: | energy system, Cascade Analysis |
Subjects: | T Technology > T Technology (General) |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 84376 |
Deposited By: | Widya Wahid |
Deposited On: | 28 Dec 2019 01:55 |
Last Modified: | 28 Dec 2019 01:55 |
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