A comprehensive framework for thermoeconomic analysis of desalination systems

Jamil, Muhammad Ahmad; Shahzad, Muhammad Wakil; Zubair, Syed M.

doi:10.1016/j.enconman.2020.113188

Cited by 40 publications

(13 citation statements)

References 114 publications

(94 reference statements)

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“…A multi-location (six locations in Saudi Arabia) analysis has concluded that the highest annual output is noted for Sharurah and lowest for Dhahran. Similarly, Jamil et al [34] also reported the thermoeconomics of desalination system and concluded that the levelized cost of water production can be variable for various type of desalination system, for example, the production cost of reverse osmosis, mechanical vapour compression, multi-effect evaporation/desalination, multistage flash, and thermal vapour compression are 0.9 ± 0.3$/m 3 , 1.0 ± 0.5$/m 3 , 1.5 ± 0.5$/m 3 , 2.0 ± 0.5$/m 3 , and 2.7 ± 0.8$/m 3 , respectively. Likewise, Jamil et al [34] presented that the hybrid desalination plants like energy recovery devices along with the reverse osmosis can have the lowest water production cost at 0.7 ± 0.2$/m 3 , leading us to the conclusion that further system improvement is needed to cope with the uncertain water security situation in the future.…”

Section: Introductionmentioning

confidence: 90%

Mathematical Approach to Improve the Thermoeconomics of a Humidification Dehumidification Solar Desalination System

et al. 2020

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Water desalination presents a need to address the growing water-energy nexus. In this work, a literature survey is carried out, along an application of a mathematical model is presented to enhance the freshwater productivity rate of a solar-assisted humidification-dehumidification (HDH) type of desalination system. The prime novelty of this work is to recover the waste heat by reusing the feedwater at the exit of the condenser in the brackish water storage tank and to carry out the analysis of its effectiveness in terms of the system’s yearly thermoeconomics. The developed mathematical model for each of the components of the plant is solved through an iterative procedure. In a parametric study, the influence of mass flow rates (MFRs) of inlet air, saline water, feedwater, and air temperature on the freshwater productivity is shown with and without the waste heat recovery from the condensing coil. It is reported that the production rate of water is increased to a maximum of 15% by recovering the waste heat. Furthermore, yearly analysis has shown that the production rate of water is increased to a maximum of 16% for June in the location of Taxila, Pakistan. An analysis is also carried out on the economics of the proposed modification, which shows that the cost per litre of the desalinated water is reduced by ~13%. It is concluded that the water productivity of an HDH solar desalination plant can be significantly increased by recovering the waste heat from the condensing coil.

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Section: Introductionmentioning

confidence: 90%

Mathematical Approach to Improve the Thermoeconomics of a Humidification Dehumidification Solar Desalination System

et al. 2020

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“…For each component, an exergoeconomic analysis is performed for both configurations as described above. The cost flow method is applied to the system as given by [51][52][53][54][55]. In this method, the cost of each flow stream of the system through all components is calculated by combining the fixed cost and stream cost.…”

Section: Exergoeconomic Modelmentioning

confidence: 99%

Exergoeconomic optimization of a forward feed multi-effect desalination system with and without energy recovery

et al. 2021

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“…A comprehensive theoretical framework for a componentbased exergoeconomic analysis and optimization of the whole plant is presented in Eq. 47-57 [92].…”

Section: Parametersmentioning

confidence: 99%

Exergoeconomic optimization of a shell-and-tube heat exchanger

Jamil

Goraya

Shahzad

et al. 2020

Energy Conversion and Management

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The paper presents an economic optimization of STHX with two commonly adopted (i.e., Kern and Bell-Delaware) and one rarely explored (i.e., Wills-Johnston) methods. A detailed numerical code concerning thermal, hydraulic, exergy, and economic analysis of STHX is developed for all three methods. Normalized sensitivity analysis, parametric study, and Genetic Algorithm are used to ascertain the most influential parameters and optimize the total cost. It is observed that the calculations made using the Wills-Johnston method were reasonably close to the Bell-Delaware method. While the Kern method showed a significant deviation in the shell side calculations because of the several assumptions in this method. The parametric analysis showed that increasing the mass flow rate and the number of baffles increased the operating cost because of an exponential increase in the pressure drops. Finally, the optimization reduced the heat transfer area by ~26.4%, capital cost by ~20%, operational cost by ~50%, total cost by ~22%, and the stream cost by ~21%.

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A comprehensive framework for thermoeconomic analysis of desalination systems

Cited by 40 publications

References 114 publications

Mathematical Approach to Improve the Thermoeconomics of a Humidification Dehumidification Solar Desalination System

Mathematical Approach to Improve the Thermoeconomics of a Humidification Dehumidification Solar Desalination System

Exergoeconomic optimization of a forward feed multi-effect desalination system with and without energy recovery

Exergoeconomic optimization of a shell-and-tube heat exchanger

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