Optimal Model of Desalination Planning Under Uncertainties in a Water Supply System

Wang, Zongzhi; Ye, Ailing; Liu, Kelin; Tan, Liting

doi:10.1007/s11269-021-02892-6

Cited by 7 publications

(3 citation statements)

References 49 publications

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“…In order to ensure the validity and accuracy of the mathematical model and avoid the influence of uncontrollable factors that may affect the actual operation of the LNG submersible pump, the following assumptions are made for the actual working conditions [9,16]:…”

Section: Mathematical Models 221 Model Assumptionsmentioning

confidence: 99%

Research on Operation Optimization of LNG Submerged Pump System in LNG Receiving Terminals

et al. 2022

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This paper focuses on improving the operating efficiency of the Liquified Natural Gas (LNG) submerged pump system in the LNG receiving terminals and achieve energy saving. The minimum input energy consumption of the LNG submerged pump system is taken as the objective function, and an optimization model for the operation of the LNG submerged pump system with variable frequency speed is established. LINGO18.0 optimization software is used to solve the model to get the optimal LNG submerged pump operation plan that satisfies the constraints. Taking a certain LNG receiving terminal as an example, the operation optimization of its LNG submerged pump system is carried out, and the input energy consumption of the system before and after optimization is compared. The results show that the use of variable frequency pumps can reduce the energy consumption of the LNG submerged pump system of LNG receiving terminals, and the optimization model can reduce the input power consumption of the system by about 10% under different transportation conditions. After applying the optimization model to actual production, it is found that the model has certain practicability for guiding the production of LNG receiving terminal.

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Section: Mathematical Models 221 Model Assumptionsmentioning

confidence: 99%

Research on Operation Optimization of LNG Submerged Pump System in LNG Receiving Terminals

et al. 2022

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“…These algorithms have advantages such as fast calculations, simple design and implementation, finding solutions near to global optimal solution, a lot of use, and superior generality. Also, these algorithms are able to overcome the limitations governing classical optimization methods in the operation of dams, such as a large number of decision variables, nonlinear relationships in the objective function and constraints, multiplicity of objectives, computational performance (Dahmani & Yebdri, 2020;Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Development of water re-allocation policy under uncertainty conditions in the inflow to reservoir and demands parameters: a case study of Karaj AmirKabir dam

Tabari

Safari

2023

Soft Comput

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The process of optimal operation of multipurpose reservoirs is accompanied by large dimensions of decision variables and the uncertainty of hydrological parameters and water demands.Therefore, in determining the optimal operation policies (OOPs), the decision making for water allocation is faced with problems and complexities. One of the effective approaches for sustainable management and optimal allocation from water resources is the multi-objective structural development based on the uncertainty of input parameters. The purpose of this study is to provide OOPs from Karaj AmirKabir multi-purpose reservoir with applying uncertainty in the inflow to reservoir and downstream water demand. The proposed approach has been investigated in two certain and uncertain models, and three objective functions of the system including maximizing hydropower generation, water supply demands, and flood control have been considered to formulate OOPs. Non-dominated sorting genetic algorithm-II (NSGA-II) was performed to optimize the three proposed objective functions and by applying multi-criteria decision making (MCDM) methods, the best operation scenario was selected. In the uncertainty model, using the interval method and repeated implementation of the deterministic model for completely random scenarios that generated based on the variation interval of the uncertain parameters, the nondeterministic optimal allocation values were produced. Based on these optimal allocation values and the fitting of the standard probability distribution on it, the probability of occurrence of the deterministic allocation values was determined. Production of optimal probabilistic allocation policies can be very useful and efficient in providing real vision to managers to select appropriate policies in different conditions and rare hydrological events. The results obtained from the certain model shows that as a result of optimal allocation to demands, the fuzzy reliability, resiliency, and system stability indexes were improved to 67.81, 21.99, and 24.98 percentage, respectively. Also, in an uncertain model, applying changes of 48% and 22%, respectively for the inflow and downstream demand has led to changes of 23%, 55%, and 18%, respectively, in the first, second, and third objective functions. The highest impact from uncertain conditions, has been related to the water supply demands with 55% of the range of variations So, the water supply demands, has a higher sensitivity and priority than other reservoir objective functions under uncertain conditions.Another important result extracted from this study is to determine the monthly probability of optimal allocations achievement. Accordingly, in the warm seasons and years in which the reservoir is facing drought, the occurrence probability of the optimal allocations decreases. Given the comprehensiveness of the proposed methodology, this approach is a very suitable tool for determining the optimal water allocations as probabilistic based on the scenarios desired by managers and reservoir operators.

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“…If effective measures are not taken, disequilibrium between demands for water-as a condition of human activities-and the natural recharge of existing bodies of fresh water may lead to the depletion of water resources, from the surface or from underground aquifers, which may result in possible desertification in the medium to long term. Large infrastructures for the storage and/or transference of water between basins, artificial recharge of underground aquifers, desalination of sea or brackish water, mainly in coastal regions, particularly by reverse osmosis (a high energyconsuming process, requiring important costs of energy, operation and maintenance, and of capital [1][2][3]), and the reuse of treated wastewater [4,5] are becoming more common and their indispensability is being recognised across the world. In this environmental, socio-economic, and engineering context, many complex multi-criteria decision-making problems can arise [6], and simplified models can be used to solve them [7,8].…”

Section: Introductionmentioning

confidence: 99%

Optimised Selection of Water Supply and Irrigation Sources—A Case Study on Surface and Underground Water, Desalination, and Wastewater Reuse in a Sahelian Coastal Arid Region

Diogo

Resende

Oliveira³

2021

Sustainability

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This paper presents a general conceptual procedure and an economic, sustainable, resilient, and integrated solution for the water supply and landscape irrigation of a large touristic complex projected in an arid to semi-arid southwest coastal region of the island of Santiago in Cape Verde, in the Western African Sahel. It is assumed that underground water can be explored, but at a minimum level to avoid aquifers depletion or any eventual saline intrusion, and that surface water can be mobilised with the construction of a dam. Other important sources of water that were identified, assessed, and compared include treated wastewater produced in the complex, which can be reused for irrigation after undergoing tertiary treatment, and desalinated sea water, which requires the construction of a desalination plant. The devised procedure includes the definition of all feasible alternatives by a deterministic complete enumeration, and the selection of the optimised solution that may be determined by a single objective cost function to be minimised, as well as by a multi-criteria decision-making process that considers a conventional 1–5 score to be maximised. Beyond the cost, four additional criteria are considered and scored for each solution, namely, Environmental Sustainability, Water Quality, Resilience, and Local Integration, and for the relative weighting between criteria a weighted sum model is assumed. For the parameters and cost models used, the best solution that was found considers that the landscape irrigation is performed with surface water and reused wastewater, and that the water distribution network is supplied with underground and desalinated water. Other solutions more or less close can be selected based on different scores or different decision maker weighting preferences.

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Optimal Model of Desalination Planning Under Uncertainties in a Water Supply System

Cited by 7 publications

References 49 publications

Research on Operation Optimization of LNG Submerged Pump System in LNG Receiving Terminals

Research on Operation Optimization of LNG Submerged Pump System in LNG Receiving Terminals

Development of water re-allocation policy under uncertainty conditions in the inflow to reservoir and demands parameters: a case study of Karaj AmirKabir dam

Optimised Selection of Water Supply and Irrigation Sources—A Case Study on Surface and Underground Water, Desalination, and Wastewater Reuse in a Sahelian Coastal Arid Region

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