Multi-objective optimization of two double-flash geothermal power plants integrated with absorption heat transformation and water desalination

Salehi, S.; Mahmoudi, S.M.S.; Yari, Mortaza; Rosen, Marc A.

doi:10.1016/j.jclepro.2018.05.234

Cited by 64 publications

(6 citation statements)

References 27 publications

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“…(1) Construction cycle constraint Due to the constraints of the project cycle, the construction of the grid within the cycle is the total duration constraint, and should meet the following constraints: T total ≤ P t (11) where P t is the power grid construction cycle, expressed in days.…”

Section: Constraint Conditionsmentioning

confidence: 99%

“…In addition, multi-objective optimization models and algorithms are used in many areas of the power system. For example, the following have been recorded in the literature: maintenance schemes for nuclear power plants [10], design optimization of geothermal power generation and solid waste power plants [11,12], multi-objective optimization of water energy emissions from coal-fired power plants [13], optimization of hybrid renewable energy power systems [14], optimal planning of power systems with wind farms [15,16], optimal integrating renewable energy sources into power grid [17,18] and multi-objective combined heat and power units [19]. Meanwhile, there are many types of multi-objective optimization algorithms, and they can provide valuable reference for investment decision making for power grid construction projects, with examples of these algorithms including the simulated annealing-chaotic search [20], multi-objective hybrid grey wolf optimizer [21], multi-objective dragonfly [22] and multi-objective enhanced immune algorithms [23].…”

Section: Introductionmentioning

confidence: 99%

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An Investment Decision-Making Approach for Power Grid Projects: A Multi-Objective Optimization Model

Gao

2022

Energies

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With the reform of the power system in China, investments in power grid projects across the whole power system are increasing. However, there are various objectives to achieve in the investment decision processes of power grid projects, so the rational investments of a grid project can be seen as a multi-objective optimization problem. Meanwhile, these issues have rarely been studied at home and abroad, and this paper will fill this gap. As a result, this study critically analyzed the application of a multi-objective optimization model to power grid investment. Firstly, the objective factors of grid investments were explored, which were quantified through quantitative methods. Secondly, based on the characteristics of power grid investment, a multi-objective optimization model was established, and the assumptions and constraints of the model were presented. Finally, NSGA-II was used for solving the multi-objective optimization model. The results show that: (1) Multi-objective optimization models are suitable for the study of and deriving solutions for power grid investment by establishing suitable objective functions, assumptions and constraints, (2) According to the conventional steps of NSGA-II, suitable steps can be established to search for an optimal solution to the objective set of a power grid investment and (3) Due to the different concerns of different project scenarios, Pareto frontier solutions can be selected as the practical references of power grid projects. Therefore, the solution set makes the implementation scheme more flexible.

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Section: Constraint Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Investment Decision-Making Approach for Power Grid Projects: A Multi-Objective Optimization Model

Gao

2022

Energies

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“…Salehi et al investigated the feasibility of producing distilled water with a geothermal power system [174]. They applied a three-objective optimization procedure on a geothermal power plant using a genetic algorithm, focused on optimizing electricity output, product unit cost, and distilled water flowrate.…”

Section: Modelling Of Hybrid Desalination Technologiesmentioning

confidence: 99%

Mathematical and optimization modelling in desalination: State-of-the-art and future direction

et al. 2019

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The growing water demand across the world necessitates the need for new and improved processes as well as for a better understanding of existing processes. This level of understanding includes predicting system performance in scenarios that cannot always be evaluated experimentally. Mathematical modelling is a crucial component of designing new and improved engineering processes. Through mathematically modelling real life systems, we gain a deeper understanding of processes while being able to predict performance more effectively. Advances in computational capacity and the ease of assessing systems allow researchers to study the feasibility of various systems. Mathematical modelling studies enable optimization performance parameters while minimizing energy requirements and, as such, have been an active area of research in desalination. In this review, the most recent developments in mathematical and optimization modelling in desalination are discussed with respect to transport phenomena, energy consumption, fouling predictions, and the integration of multiple scaling evolution on heat transfer surfaces has been reviewed. Similarly, developments in optimization of novel reverse osmosis (RO) configurations have been analyzed from an energy consumption perspective. Transport models for membranebased desalination processes, including relatively less understood processes such as nanofiltration and forward osmosis are presented, with recent modifications to allow for different solutes and solutions. Mathematical modelling of hybrid systems integrated with RO has also been reviewed. A survey of the literature shows that mathematical and optimization modelling of desalination processes is an exciting area for researchers in which future scholarship includes coupling of renewable energy systems with desalination technologies, as well as more advanced descriptions of fouling evolution other than that of cake filtration in membrane-based processes.

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“…As a proposed solution for the problem in zone E5, a geothermal heat exchanger was proposed, since the soil temperature was lower than ambient and was constant throughout the year; hence, it would be a preferred alternative to use solar thermal heat source for places with hot climates. Salehi et al 45 studied and optimized a double‐flash geothermal power plant which was integrated with absorption chiller and freshwater production unit. It was concluded that the integration of absorption chiller was performing 17% better than the other layout.…”

Section: Introductionmentioning

confidence: 99%

Space cooling using geothermal single‐effect water/lithium bromide absorption chiller

Assad

Sadeghzadeh

Ahmadi

et al. 2021

Energy Science & Engineering

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This research is proposed to fully investigate the performance of a single‐effect water/lithium bromide absorption chiller driven by geothermal energy. Since absorption cycles are considered as low‐grade energy cycles, this innovative idea of rejecting fluid from a single‐flash geothermal power plant with low‐grade energy would serve as efficient, economical, and promising technology. In order to examine the feasibility of this approach, a residential building which is located in Sharjah, UAE, considered to evaluate its cooling capacity of 39 kW which is calculated using MATLAB software. Based on the obtained cooling load, modeling of the required water/lithium bromide single‐effect absorption chiller machine is implemented and discussed. A detailed performance analysis of the proposed model under different conditions is performed using Engineering Equation Solver software (EES). Based on the obtained results, the major factors in the design of the proposed system are the size of the heat exchangers and the input heat source temperature. The results are presented graphically to find out the geofluid temperature and mass flow and solution heat exchanger effectiveness effects on the chiller thermal performance. Moreover, the effects of the size of all components of the absorption chiller on the cooling load to meet the space heating are presented. The thermal efficiency of the single‐flash geothermal power plant is about 13% when the power plant is at production well temperature 250℃, separator pressure 0.24 MPa, and condenser pressure 7.5 kPa. The results show that the coefficient of performance (COP) reaches about 0.87 at solution heat exchanger effectiveness of 0.9, when the geofluid temperature is 120℃.

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Multi-objective optimization of two double-flash geothermal power plants integrated with absorption heat transformation and water desalination

Cited by 64 publications

References 27 publications

An Investment Decision-Making Approach for Power Grid Projects: A Multi-Objective Optimization Model

An Investment Decision-Making Approach for Power Grid Projects: A Multi-Objective Optimization Model

Mathematical and optimization modelling in desalination: State-of-the-art and future direction

Space cooling using geothermal single‐effect water/lithium bromide absorption chiller

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