Simulation and optimization of multi effect desalination coupled to a gas turbine plant with HRSG consideration

Shakib, Seyed Ehsan; Amidpour, Majid; Aghanajafi, Cyrus

doi:10.1016/j.desal.2011.10.028

Cited by 85 publications

(23 citation statements)

References 24 publications

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“…3). Because the required motive steam is saturated, the boiler does not need the superheater section [10].…”

Section: Heat Recovery Steam Generatormentioning

confidence: 99%

“…In this study, both pinch point and approach point are included in the modeling. The following equations define these two parameters [10]:…”

Section: Heat Recovery Steam Generatormentioning

confidence: 99%

“…They illustrated that this integrated technology is expected to be promising in the Most of the available literature considered the gas turbine power cycle as the cogeneration system in combination with thermal desalination unit. It is illustrated that the integration of large MED-MSF desalination unit with the gas turbine power cycle is economic [10]. As mentioned above, the special economic and geographical conditions of the south of Iran make the distributed power generation feasible more than other parts of the country.…”

Section: Introductionmentioning

confidence: 98%

“…The calculation results show that the gain ratio could be increased by 74.1%, the brine concentration in each stage could be reduced by 21.8% on average, and the mean annual capital cost of freshwater production will decrease by 10.7% in comparison with conventional MSF when the extracting quotient of flash vapor increased to its maximum value (0.773). Shakib et al [10] studied the simulation and optimization of multi-effect desalination coupled to a gas turbine plant with HRSG consideration. Two heuristic algorithms, namely genetic algorithm and particle swarm optimization, are used in optimization process.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulation and economic evaluation of small-scale SOFC-GT-MED

Meratizaman

Monadizadeh

Amidpour

2015

Desalination and Water Treatment

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A B S T R A C TThermal nature of multiple effect distillation (MED) process causes the integration of a desalination unit with a high-temperature power cycle like gas turbine in combination with the solid oxide fuel cell. The improvement in energy efficiency is achieved as a result of this combination. This configuration can be introduced as an effective system for the electrical energy-freshwater production. The electrical efficiency of solid oxide fuel cell-gas turbine (SOFC-GT) is reported about 60%. Small-scale MED unit is presented as a solution for heat recovery in the 300-1,000 kW range of (size of SOFC) SOFC-GT power cycle. The exhausted heat of SOFC-GT power cycle is used in heat recovery steam generator to produce a required motive steam for the desalination unit. Simulation, parametric studies, and economic analysis of proposed system are carried out to investigate the system performance. Economic analyses are applied based on the annualized cost of system method. Results show that the combination of MED with SOFC-GT power cycle makes the system more economic.

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“…3). Because the required motive steam is saturated, the boiler does not need the superheater section [10].…”

Section: Heat Recovery Steam Generatormentioning

confidence: 99%

“…In this study, both pinch point and approach point are included in the modeling. The following equations define these two parameters [10]:…”

Section: Heat Recovery Steam Generatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation and economic evaluation of small-scale SOFC-GT-MED

Meratizaman

Monadizadeh

Amidpour

2015

Desalination and Water Treatment

Self Cite

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“…The PSO method is a stochastic optimization, evolutionary and simulating algorithm and its purpose is to find the optimum solution of an objective function by performing a stochastic search based on a population. PSO opted because of the benefits it presents; it can optimize continuous and discrete variables simultaneously, it requires less memory space and central processing unit (CPU) speed [42], and it presents good results in energy systems optimizations [43,44]. The PSO settings that were used are presented in Table 1 [15,18].…”

Section: Optimization Methodsmentioning

confidence: 99%

A Game Theory Approach to Multi-Agent Decentralized Energy Management of Autonomous Polygeneration Microgrids

2017

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Abstract:Energy management systems are essential and indispensable for the secure and optimal operation of autonomous polygeneration microgrids which include distributed energy technologies and multiple electrical loads. In this paper, a multi-agent decentralized energy management system was designed. In particular, the devices of the microgrid under study were controlled as interactive agents. The energy management problem was formulated here through the application of game theory, in order to model the set of strategies between two players/agents, as a non-cooperative power control game or a cooperative one, according to the level of the energy produced by the renewable energy sources and the energy stored in the battery bank, for the purpose of accomplishing optimal energy management and control of the microgrid operation. The Nash equilibrium was used to compromise the possible diverging goals of the agents by maximizing their preferences. The proposed energy management system was then compared with a multi-agent decentralized energy management system where all the agents were assumed to be cooperative and employed agent coordination through Fuzzy Cognitive Maps. The results obtained from this comparison, demonstrate that the application of game theory based control, in autonomous polygeneration microgrids, can ensure operational and financial benefits over known energy management approaches incorporating distributed intelligence.

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