Improving robustness of water supply system using a multi-objective robust optimization framework

Moudi, Mahdi; Song, Xueqian; Gai, Qiuyan; Basirialmahjough, Mahdi; He, Yuan

doi:10.1016/j.envres.2023.116270

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…However, this development has exacerbated the drought situation [ 30 , 31 ]. Thus, in order to meet the water requirements of two sub-areas, namely Zabol and Zahedan, decision-makers have redirected the runoff originating from the Afghanistan side to the Helmand River, utilizing four large reservoirs collectively known as Chahnimeh [ 32 – 34 ]. As the drought intensifies and water resources continue to dwindle, decision-makers have encountered significant challenges in maintaining a balance between water demand and supply across various sectors.…”

Section: Methodsmentioning

confidence: 99%

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A novel objective for improving the sustainability of water supply system regarding hydrological response

Moudi,

Gai,

Yuan

et al. 2023

PLoS ONE

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In general, the sustainability of the water supply system is indicative of an adaptive operational approach, wherein the decision-maker adjusts the system’s performance based on the availability of water resources in a given time frame. In light of this, a novel framework is proposed in this study to evaluate sustainability, including three key indicators: resilience, reliability, and vulnerability. To address stressors that may lead to system failure, a multisectoral water allocation optimization is undertaken. In order to account for the future implications of climate change on the hydrological cycle, a simulation step, is incorporated, utilizing the Soil and Water Assessment Tool (SWAT) under various emission scenarios (RCP4.5 and RCP8.5), prior to integrating the streamflow data into our proposed optimal framework. To calibrate and validate historical data (2014–2019) and simulate future streamflow patterns (2025–2085), the Sistan Basin, located in an arid region of Iran, is analyzed as a case study. In light of the anticipated adverse impacts on the water supply system, certain adaptation measures, such as demand shrinkage scenarios, are considered to further appraise the proposed framework. Based on the final output, it is evident that the agricultural and industrial sectors, being the primary water consumers, are more susceptible to negative impacts resulting from the reduction in system sustainability. This susceptibility is primarily attributed to their highest vulnerability and comparatively lower reliability.

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Section: Methodsmentioning

confidence: 99%

“…reservoirs collectively known as Chahnimeh [32][33][34]. As the drought intensifies and water resources continue to dwindle, decision-makers have encountered significant challenges in maintaining a balance between water demand and supply across various sectors.…”

Section: Plos Onementioning

confidence: 99%

A novel objective for improving the sustainability of water supply system regarding hydrological response

Moudi,

Gai,

Yuan

et al. 2023

PLoS ONE

Self Cite

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“…Likewise, Baghalian et al [16] presented a stochastic formulation for designing a multi-product SC network based on a robust optimization concept. Mahdi et al [17] propose a robust multiobjective framework to improve the robustness of the water supply system in accordance with the uncertainty of rainfall and water demand. Li et al [18] develop a robust optimization approach for prismatic lithium-ion cells, aiming to limit thermal performance uncertainties to the optimal manufacturing cost.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Equation ( 16) formulates the balance of incoming and outgoing products at each storage facility. Equation (17) establishes that product output from warehouse j satisfies the demand of customer n. Equation (18) guarantees that the total product output from all plants must satisfy the total demand.…”

Section: Restrictions Of the Deterministic Modelmentioning

confidence: 99%

Robust Optimization Model for Sustainable Supply Chain Design Integrating LCA

Flores-Siguenza,

Marmolejo-Saucedo,

Niembro-Garcia

2023

Sustainability

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Supply chain management is the basis for the operations in an organization. The development of realistic supply chain designs that work effectively in the presence of disturbances in a stochastic environment and incorporate sustainability factors, is a complex challenge being investigated in recent years. However, the inclusion of a methodological structured framework to evaluate environmental impacts constitutes a knowledge gap in the literature on supply chain design. This study developed a model for sustainable supply chain design, integrating Life Cycle Assessment and based on a robust optimization approach. The study follows a 4-stage methodology beginning with data collection and the execution of a Life Cycle Assessment. Then, the deterministic modeling is proposed, concluding with a robust model. A bi-objective model is proposed to maximize utility and minimize environmental impact based on demand scenarios. The model was validated with real data from a medium-sized enterprise that produces antibacterial gel, generating as a result, different configuration alternatives for the supply chain to transport the products and raw materials between its elements. The conclusions of this work highlight the importance of including sustainability factors during supply chain design, the consequences and costs of its inclusion, as well as the priority actions that promote sustainable designs.

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“…This study introduces robust optimization (RO), a novel modeling approach for investigating uncertain optimization problems in predicting optoelectronic output to devise a solution applicable to all uncertain input realizations [27][28][29]. The optimization using the RO algorithm is detailed in the literature [30][31][32][33]. Robustness, in this context, signifies the system's ability to maintain performance under external interference conditions.…”

Section: Economic Scheduling Model Based On Robust Optimizationmentioning

confidence: 99%

Optimizing Water-Light Complementary Systems for the Complex Terrain of the Southwestern China Plateau Region: A Two-Layer Model Approach

Hu,

Luo,

Luo

et al. 2023

Sustainability

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This study aimed to optimize the real-time, short-term dispatch of water-light complementary systems in plateau areas. A two-layer nested improved particle swarm optimization-stepwise optimization algorithm trial (IPSO-SOAT) model was devised to address the challenges posed by the intermittent, volatile, and random characteristics of renewable energy, leading to difficulties in renewable energy consumption and severe power cuts. The model, was employed to optimize the load distribution of complementary system power stations. The outer layer of the model employs an improved particle swarm optimization algorithm to introduce uncertainty and enhance prediction accuracy. Additionally, regional optimization and robust optimization were incorporated to improve prediction reliability. The objective function was aimed at minimizing the residual load variance. The inner layer of the model employs a stepwise optimization algorithm, coupled with a two-dimensional coding strategy for the hydropower unit, to optimize the operating status of the hydropower station unit. The objective function in this layer minimizes flow consumption. A water-light complementary system was comprehensively analyzed in the context of the southwestern plateau region, considering the complex terrain characteristics. By comparing three scenarios, the superiority and flexibility of the two-level nested model were visualized. The proposed double-layer nesting model minimizes energy and natural resource consumption while ensuring sustainability, resulting in a reduction of 15,644.265 tons of carbon dioxide emissions per year. This technological innovation makes a significant contribution to sustainable development.

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Improving robustness of water supply system using a multi-objective robust optimization framework

Cited by 6 publications

References 34 publications

A novel objective for improving the sustainability of water supply system regarding hydrological response

A novel objective for improving the sustainability of water supply system regarding hydrological response

Robust Optimization Model for Sustainable Supply Chain Design Integrating LCA

Optimizing Water-Light Complementary Systems for the Complex Terrain of the Southwestern China Plateau Region: A Two-Layer Model Approach

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