Technology review and data analysis for cost assessment of water treatment systems

Bhojwani, Sumay; Topolski, Kevin; Mukherjee, Rabindra Nath; Sengupta, Debalina; El‐Halwagi, Mahmoud M.

doi:10.1016/j.scitotenv.2018.09.363

Cited by 155 publications

(58 citation statements)

References 51 publications

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“…The CO 2 emission value of the desalination does not exceed the emission limit for CO 2 emissions and is as Eq (16).…”

Section: Target Function Optimizationmentioning

confidence: 99%

“…Based on the studies, the effects of saline effluent discharge can be observed for tens or hundreds of meters (10,11), or in extreme cases, several kilometers from the effluent discharge site (12). Few studies on the environmental issues of intake and brine discharge of SWRO, have shown that proper design of SWRO based on the environmental impact analysis, can minimize the environmental impacts and the costs of environmental protection for desalination plants were analyzed (5,(13)(14)(15)(16). Most of the above-mentioned models focused on optimizing the economic dimension of water supply systems and often overlook the details of the environmental aspects.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of environmental aspects related to reverse osmosis desalination supply chain

Mehrgan

Mahdiraji

Binaee

et al. 2020

Environ Health Eng Manag

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Background: This study aimed to model optimization of strategic environmental management decisions in the operation of reverse osmosis desalination, emphasizing the costs required for the environmental protection during the production of freshwater using reverse osmosis technology. Methods: This analytical research was conducted in five cities of Hormozgan province in Iran for 18 months from February 2018 to September 2019. The research includes eight phases of defining the research problem, data collection, preliminary data analysis and decision criteria, mathematical modeling, model validation, information preparation, analysis and finally discussion, conclusions and suggestions. The main environmental issues were the carbon dioxide (CO2 ) release rate due to power demand and rejected brine water (RBW) were entered the mathematical model. Results: The desalination plants of Abu Musa, Bandar Abbas, Qeshm, Sirik, and Hormoz with water production flow rate of 2100, 89 000, 5300, 3300 and 1500 m3 /d can generate 2360.82, 100053.80, 5958.260, 3709.86 and 1686.30 tons/year of CO2 emissions respectively. This output requires 1.35, 57.47, 3.42, 2.13 and 0.97 million USD for controlling the process, respectively. For reduction of the negative effect of RBW 0.75, 22.79, 1.78, 1.15 and 0.55 million USD respectively, is needed. Conclusion: Recommendations for environmental impacts protection of RBW, for desalination capacity up to 50 000 m3 /d, are; (a) for desalination capacity up to 50 000 m3 /d; dilution the RBW using raw water before entering into the sea, (b) for capacity of 50 000-100 000 m3 /d; dispersing RBW in sea using diffuser, and (c) for capacity more than 100 000 m3 /d; hybrid water desalination plants and power plant. Application of power plant cooling water to dilute RBW may reduce cost.

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“…The CO 2 emission value of the desalination does not exceed the emission limit for CO 2 emissions and is as Eq (16).…”

Section: Target Function Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling of environmental aspects related to reverse osmosis desalination supply chain

Mehrgan

Mahdiraji

Binaee

et al. 2020

Environ Health Eng Manag

View full text Add to dashboard Cite

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“…To manage the water sources optimally, it is essential to adapt the production to the demand. This fact is especially significant when considering desalination facilities in the water network (as happens in Almería) as the costs associated with the production of desalinated water are still relatively high [8], and they depend directly on production. The work presented by Roca et al [9] demonstrated how a desalination facility can be efficiently coupled to a greenhouse by using MPC techniques.…”

Section: Introductionmentioning

confidence: 99%

An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)

Muñoz

Gil

Roca

et al. 2020

Sensors

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The current agricultural water panorama in many Mediterranean countries is composed by desalination facilities, wells (frequently overexploited), the water public utility network, and several consumer agents with different water needs. This distributed water network requires centralized management methods for its proper use, which are difficult to implement as the different agents are usually geographically separated. In this sense, the use of enabling technologies such as the Internet of Things can be essential to the proper operation of these agroindustrial systems. In this paper, an Internet of Things cloud architecture based on the FIWARE standard is proposed for interconnecting the several agents that make up the agroindustrial system. In addition, this architecture includes an efficient management method based on a model predictive control technique, which is aimed at minimizing operating costs. A case study inspired by three real facilities located in Almería (southeast of Spain) is used as the simulation test bed. The obtained results show how around 75% of the total operating costs can be saved with the application of the proposed approach, which could be very significant to decrease the costs of desalinated water and, therefore, to maintain the sustainability of the agricultural system.

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“…Industrial wastewater treatment is a major global problem, mainly due to the restricted quantities of water that can be re-used along with the high cost of purification. In recent years, appropriate technologies for the treatment of wastewater and other effluents have raised great interest due to more strict laws and regulations [1]. The literature reports a variety of processes to water treatment and there are a lot of technologies used for this purpose.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Large-Scale Production of Chitosan Microbeads Modified with Nanoparticles Based on Exergy Analysis

2019

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Novel technologies for bio-adsorbent production are being evaluated on the lab-scale in order to find the most adequate processing alternative under technical parameters. However, the poor energy efficiency of promising technologies can be a drawback for large-scale production of these bio-adsorbents. In this work, exergy analysis was used as a computer-aided tool to evaluate from the energy point of view, the behavior of three bio-adsorbent production topologies at large scale for obtaining chitosan microbeads modified with magnetic and photocatalytic nanoparticles. The routes were modeled using an industrial process simulation software, based on experimental results and information reported in literature. Mass, energy and exergy balances were performed for each alternative, physical and chemical exergies of streams and chemical species were calculated according to the thermodynamic properties of biomass components and operating conditions of stages. Exergy efficiencies, total process irreversibilities, energy consumption, and exergy destruction were calculated for all routes. Route 2 presents the highest process irreversibilities and route 3 has the highest exergy of utilities. Exergy efficiencies were similar for all simulated cases, which did not allow to choose the best alternative under energy viewpoint. Exergy sinks for each topology were detected. As values of exergy efficiency were under 3%, it was shown that there are process improvement opportunities in product drying stages and washing water recovery for the three routes.

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Technology review and data analysis for cost assessment of water treatment systems

Cited by 155 publications

References 51 publications

Modeling of environmental aspects related to reverse osmosis desalination supply chain

Modeling of environmental aspects related to reverse osmosis desalination supply chain

An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)

Evaluation of Large-Scale Production of Chitosan Microbeads Modified with Nanoparticles Based on Exergy Analysis

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