Optimal exergetic, exergoeconomic and exergoenvironmental design of polygeneration system based on gas Turbine-Absorption Chiller-Solar parabolic trough collector units integrated with multi-effect desalination-thermal vapor compressor- reverse osmosis desalination systems
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- @Article{VAZINIMODABBER:2021:RE,
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author = "Hossein {Vazini Modabber} and
Mohammad Hasan {Khoshgoftar Manesh}",
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title = "Optimal exergetic, exergoeconomic and
exergoenvironmental design of polygeneration system
based on gas Turbine-Absorption Chiller-Solar parabolic
trough collector units integrated with multi-effect
desalination-thermal vapor compressor- reverse osmosis
desalination systems",
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journal = "Renewable Energy",
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volume = "165",
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pages = "533--552",
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year = "2021",
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ISSN = "0960-1481",
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DOI = "
doi:10.1016/j.renene.2020.11.001",
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URL = "
https://www.sciencedirect.com/science/article/pii/S0960148120317262",
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keywords = "genetic algorithms, genetic programming,
Polygeneration, Desalination, Multi objective
optimization, Economic, Environmental",
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abstract = "In the recent years, considering aridity problem of
the country and high potential of desalinating the
seawater in the southern and northern coasts, focusing
on the poly-generation cycles of power and distillate
with the lowest possible cost and emission of the
pollutants has been increased. In this research, the
study of the trigeneration system of power, heat and
desal water located in the Qeshm island has been
conducted. The potentials of the existing unit have
been evaluated and the different scenarios have been
proposed to improve the performance of the system.
Setting the inlet air cooling system up to the gas
cycle is one of the schemes proposed to diminish the
undesirable effects of the ambient conditions. Also
integrating the existing MED desalination unit with RO
system and using solar thermal collector field in order
to improve the performance of the system and to propose
the optimal scheme for the operating unit has been
investigated. The conventional and the advanced exergy,
exergo-economic and exergo-environmental analyzes based
on life cycle assessment have been used to evaluate the
existing and the proposed systems. The multi objective
optimization process has been performed to maximize the
exergetic efficiency and to minimize the cost and
environmental impact of the product of the system.
Considering the complexity of the problem, using the
genetic programming to generate the objective functions
has been conducted. In order to apply the optimization
process on the existing and the proposed system, multi
objective genetic algorithm (MOGA) and multi objective
water cycle algorithm (MOWCA) have been used. Multi
objective water cycle algorithm has been performed for
the first time at the energy problems in this research.
The results shows that using the inlet air cooling
system has decreased the fuel consumption, total costs
and environmental impacts of the system by 1019
tons/year, 914 k$/year and 197 kpts/year, respectively.
Also integrating the existing unit with the solar
thermal collector field to achieve an increase of
4.77percent in efficiency of the system has been
investigated. Five different types of STC at two
configurations have been evaluated and the
thermodynamic, economic and environmental optimal
solution has led to calculate 9081 m2 area of required
collectors. Using RO desalination unit in the
downstream of MED has prevented the energy leakage and
increased the distillate production rate by 255.12
tons/h. The optimization processes using two methods
shows the capability of the MOWCA and lead to an
increase of 12.66percent in exergetic efficiency and
decreased the total cost and environmental impact rate
of the system by 47.4$/h and 49.2 pts/h, respectively",
- }
Genetic Programming entries for
Hossein Vazini Modabber
Mohammad Hasan Khoshgoftar Manesh
Citations
