Design, modeling, and thermo-economic optimization of an innovative continuous solar-powered hybrid desalination plant integrated with latent heat thermal energy storage

Kaabinejadian, Amirreza; Moghimi, Mahdi; Fakhari, Iman

doi:10.1016/j.applthermaleng.2022.119576

Cited by 9 publications

(3 citation statements)

References 50 publications

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“…To make the MED process sustainable and to compete it with the state-of-the-art reverse osmosis (RO), the MED/MED-TVC process is further integrated with renewable energy sources or is connected with cogeneration processes. − It is fairly true that multiobjective optimization (MOO) can play a vital role in finding a way for efficient utilization of resources, reduced energy consumption, and improved cost-effectiveness. In fact, MOO enables the system to operate at its highest potential, thereby contributing to a sustainable and economically viable seawater desalination process. − Evolutionary algorithms (EAs) have emerged as one of the most suitable approaches for MOO since they can effectively handle multiple conflicting objectives and find feasible (Pareto-optimal) solutions by exploring diverse solution spaces . Multiple studies on MOO using EA for MED are reported in the open literature. − In those studies, the MED/MED-TVC is dealt as an integral component of a cogeneration process, rather than as an independent isolated process.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Optimization of Multieffect Seawater Distillation to Gain Insights into Various Feeding Patterns: Productivity, Thermodynamic, Economic, and Environmental Perspectives

Mukherjee,

Sachar,

Jana

2024

Ind. Eng. Chem. Res.

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Seawater desalination is consistently gaining research interest, as water scarcity looms globally. Multieffect distillation with thermal vapor compression (MED-TVC) has emerged as a promising solution to the freshwater scarcity problem. In this contribution, we put forward a way to gain physical insights into various feeding patterns of MED-TVC and identify a suitable pattern to treat saline water effectively. For this, a dynamic model for a MED-TVC with parallel cross feed (PCF) is first formulated and then validated it with data sets of two different plants showing excellent matching. This validated model is further extended for dynamic multiobjective genetic algorithm-based optimization by framing four conflicting objectives in the aspects of performance ratio (PR), second law efficiency (η II ), freshwater production cost (FWPC), and CO 2 emission. With this, we formulate the technique for order of preference by similarity to ideal solution (TOPSIS) embedded nondominated sorting genetic algorithm-II (NSGA-II). A systematic comparison is presented between the optimal performance of the three feeding patterns, namely, forward, parallel, and parallel cross feed MED-TVC operating under optimal configurations. The relative merits and demerits of each feeding pattern are discussed, and among them, the PCF comes out as the front-runner with minimum cost (FWPC) and emission level and maximum performance ratio and thermodynamic efficiency. This study provides a clear and optimal picture based on the stated objectives and properly guides to choose a suitable feeding methodology for seawater desalination in MED-TVC.

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Section: Introductionmentioning

confidence: 99%

Dynamic Optimization of Multieffect Seawater Distillation to Gain Insights into Various Feeding Patterns: Productivity, Thermodynamic, Economic, and Environmental Perspectives

Mukherjee,

Sachar,

Jana

2024

Ind. Eng. Chem. Res.

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“…In this regard, evolutionary algorithms (EAs) are considered to be one of the most suitable solution methodologies, as they can efficiently handle multiple conflicting objectives and find pareto optimal solutions by stochastically searching the solution space. These algorithms mainly include the genetic algorithm (GA), , gray wolf optimizer, particle swarm optimizer, and simulated annealing approach . Due to the heuristic nature and stochastic optimization strategy, GA has gained tremendous popularity as a robust global optimizer.…”

Section: Introductionmentioning

confidence: 99%

A Carbon-Neutral Highly Productive Solar-Powered Desalination Process: Improving Economic Performance with Carbon Pricing

Mukherjee,

Mondal,

Jana

2024

Ind. Eng. Chem. Res.

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This work proposes a carbon-neutral desalination process. For this, at first a rigorous theoretical framework for multieffect desalination coupled with a thermal vapor compressor (MED-TVC) is developed to validate with the data set of a plant operated in Libya and to show the outperformance over an existing model. A mechanical vapor compressor (MVC) is proposed to integrate with MED, and the hot brine and distillate withdrawn from that MED are employed for feed preheating. A multiobjective genetic algorithm -based optimizer is formulated with three conflicting objectives, namely, productivity, CO 2 emission, and production cost that includes carbon tax. The proposed MED-MVC outperforms MED-TVC in terms of all of those performance metrics. Subsequently, we move to transform this MED-MVC process to a carbon-neutral unit by introducing solar energy to generate makeup steam and electricity. This innovative sustainable zeroemission desalination process secures higher productivity at a lower cost than the existing MED-TVC plant scenario.

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“…In this context, the evolutionary algorithm (EA) presents the suitable solution as it can handle multiple conflicting objectives and stochastically search for the optimal solution in the search space. Various EA approaches have been implemented for the MOO of MED processes. − Among them, the elitist non-dominated sorting genetic algorithm-II (NSGA-II) has demonstrated superior performance in handling multiple objectives related to chemical processes. , A few studies have applied the NSGA-II tool to MED. − However, the environmental performance index is rarely considered as an objective function.…”

Section: Introductionmentioning

confidence: 99%

Solar-Driven Thermal and Mechanical Vapor Compressor Integrated Desalination System: Zero Emission, High Yield, and Cost Reduction

Mukherjee,

Jana

2024

ACS Sustainable Chem. Eng.

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Water scarcity has become one of the top risks, along with global warming, primarily caused by increasing energy usage. The problem of desalinating water that is a highly energy intensive process gets intensified due to its complex water-energy nexus. Our key objective is to break this nexus by introducing a hybrid solar-thermal multieffect desalination system. More specifically, to unlock the thermodynamic limitation and acquire the benefits of both the thermal (TVC) and mechanical vapor compressor (MVC), an attempt is made to hybridize them for integration with the multieffect distillation (MED) that consequently enhances the yield of water. Ensuring globally optimal performance of this hybrid MED-TVC-MVC configuration, it is proposed to further integrate with a solar cell with the aim of achieving carbon neutrality at the cost of increased capital investment. Imposing a carbon tax is inevitable, and with adding this, we finally explore the techno-economic feasibility of the sustainable solar MED-TVC-MVC. This novel desalination system secures zero carbon emission with reduced freshwater production cost (FWPC) and enhanced recovery ratio with respect to the real-time MED-TVC plant.

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Design, modeling, and thermo-economic optimization of an innovative continuous solar-powered hybrid desalination plant integrated with latent heat thermal energy storage

Cited by 9 publications

References 50 publications

Dynamic Optimization of Multieffect Seawater Distillation to Gain Insights into Various Feeding Patterns: Productivity, Thermodynamic, Economic, and Environmental Perspectives

Dynamic Optimization of Multieffect Seawater Distillation to Gain Insights into Various Feeding Patterns: Productivity, Thermodynamic, Economic, and Environmental Perspectives

A Carbon-Neutral Highly Productive Solar-Powered Desalination Process: Improving Economic Performance with Carbon Pricing

Solar-Driven Thermal and Mechanical Vapor Compressor Integrated Desalination System: Zero Emission, High Yield, and Cost Reduction

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