Reverse osmosis desalination process optimized for maximum permeate production with renewable energy

Lee, Sangkeum; Myung, Sunghee; Hong, Jihyung; Har, Dongsoo

doi:10.1016/j.desal.2016.07.018

Cited by 31 publications

(14 citation statements)

References 35 publications

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“…This software determines the quality of freshwater permeate, flow permeate rate, and specific energy consumption of a SWROD plant, the quality of feed water (seawater), type of membrane, structure of the vessels, and vessels pressure. 40 Using the following equation, the daily water capacity (D WC ) produced by the SWROD unit is obtained 24,41,42 :…”

Section: Soc T ð þ ≤ Soc Maxmentioning

confidence: 99%

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Modeling, design, and optimization of a cost‐effective and reliable hybrid renewable energy system integrated with desalination using the division algorithm

et al. 2020

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People in the Middle East are facing the problem of freshwater shortages. This problem is more intense for a remote region, which has no access to the power grid. The use of seawater desalination technology integrated with the generated energy unit by renewable energy sources could help overcome this problem. In this study, we refer a seawater reverse osmosis desalination (SWROD) plant with a capacity of 1.5 m 3 /h used on Larak Island, Iran. Moreover, for producing fresh water and meet the load demand of the SWROD plant, three different stand-alone hybrid renewable energy systems (SAHRES), namely wind turbine (WT)/photovoltaic (PV)/battery bank storage (BBS), PV/BBS, and WT/BBS are modeled and investigated. The optimization problem was coded in MATLAB software. Furthermore, the optimized results were obtained by the division algorithm (DA). The DA has been developed to solve the sizing problem of three SAHRES configurations by considering the object function's constraints. These results show that this improved algorithm has been simpler, more precise, faster, and more flexible than a genetic algorithm (GA) in solving problems. Moreover, the minimum total life cycle cost (TLCC = 243 763$), with minimum loss of power supply probability (LPSP = 0%) and maximum reliability, was related to the WT/PV/BBS configuration. WT/PV/BBS is also the best configuration to use less battery as a backup unit (69 units). The batteries in this configuration have a longer life cycle (maximum average of annual battery charge level) than two other configurations (93.86%). Moreover, the optimized results have shown that utilizing the configuration of WT/PV/BBS could lead to attaining a cost-effective and green (without environmental pollution) SAHRES, with high reliability for remote areas, with appropriate potential of wind and solar irradiance.

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Section: Soc T ð þ ≤ Soc Maxmentioning

confidence: 99%

“…where PD represents the desalination installed power. The SWROD unit should operate between the minimum and nominal load of the SWROD plant (P DI ) 41,43 :…”

Section: Soc T ð þ ≤ Soc Maxmentioning

confidence: 99%

Modeling, design, and optimization of a cost‐effective and reliable hybrid renewable energy system integrated with desalination using the division algorithm

et al. 2020

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“…The 3rd term in (4a) is to delay EV charging and use shiftable appliances as much as possible, whereas (4b) is to reduce their total delays as much as possible. This multi-objective optimization can be solved by a genetic algorithm (GA) [39], [40].…”

Section: Power Management Controlled By the Lstm Network A Powementioning

confidence: 99%

Power Management by LSTM Network for Nanogrids

et al. 2020

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Nanogrids can be considered smart grids that are implemented for small-scale buildings, houses, and apartments. A typical power management framework for nanogrids determines the scheduling of operations of electric appliances for each time interval with objectives related to total power consumption and total delay due to scheduling. Such a framework of power management has limitations in accommodating future operating conditions of nanogrids. Taking future outdoor temperature as a future operating condition, a proactive power management for nanogrids is presented in this paper. The goal of proactive power management for nanogrids is to achieve the proper level of indoor temperature in a cost-efficient way, sooner rather than later, by taking into account future outdoor temperature. To achieve this goal, a long short-term memory (LSTM) network is used as the controller. Simulations have been performed to verify the performance of the proposed power management. The results of the simulations demonstrate that living comfort measured in terms of room temperature is enhanced while the overall electricity cost is reduced, mainly due to the ability of the LSTM network to predict the trend of outdoor temperature.

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“…To curb the use of energy derived from oil and gas, it is also recommended that Qatar should adopt renewable energy in desalination industry. Several researchers have tested the performance of RO coupled with renewable energy . Coupling of solar energy with desalination plants has a potential to provide clean water resources with minimal environmental footprint.…”

Section: Responsesmentioning

confidence: 99%

“…Under “response” term of the DPSIR model; it is also suggested that the governments and managers should encourage scientists to look for more innovative solutions for these operational problems, so that more reliable and environment friendly techniques can be developed for clean water production. More details about membrane fouling and its mitigation can be found in other review papers .…”

Section: Responsesmentioning

confidence: 99%

Use of DPSIR Framework to Analyze Water Resources in Qatar and Overview of Reverse Osmosis as an Environment Friendly Technology

Ashfaq

Qiblawey

Zouari

et al. 2018

Env Prog and Sustain Energy

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Qatar and other countries of Gulf Cooperation Council are among the most water scarce countries in the world and are being characterized as “high‐water risk” countries by Water Resource Institute. Therefore, it is important to implement sustainable water resource management that encompass economic, societal, and environmental aspects. In this review article, the Driver‐Pressure‐State‐Impact‐Response framework was used to analyze the water resource system in Qatar in terms of drivers, pressures, change in state, impacts, and responses. It was noted that both economic and population growth together with unsustainable water consumption are major driving forces that are pressurizing the Qatar's water resources (desalinated seawater and renewable groundwater). Currently, desalination plants using Multi‐Stage Flash (MSF) techniques are predominantly being used to meet the rising water demands. However, widespread use of MSF techniques poses several environmental and economic impacts. Therefore, in addition to other management and corrective measures, reverse osmosis (RO) technique has also been suggested to be utilized in desalination industry as a “response” to mitigate those impacts. Since, the performance of RO is mainly affected by biofouling and mineral scaling, the paper also highlights the recent materials (polymers and nano‐materials) used to tackle these problems. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13081, 2019

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Reverse osmosis desalination process optimized for maximum permeate production with renewable energy

Cited by 31 publications

References 35 publications

Modeling, design, and optimization of a cost‐effective and reliable hybrid renewable energy system integrated with desalination using the division algorithm

Modeling, design, and optimization of a cost‐effective and reliable hybrid renewable energy system integrated with desalination using the division algorithm

Power Management by LSTM Network for Nanogrids

Use of DPSIR Framework to Analyze Water Resources in Qatar and Overview of Reverse Osmosis as an Environment Friendly Technology

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