A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty

Yu, Li; Xiao, Yao; Jiang, Shan; Li, Y.P.; Fan, Yurui; Huang, Guohe; Lv, J.; Zuo, Qiting; Wang, F.Q.

doi:10.1016/j.energy.2020.117063

Cited by 44 publications

(14 citation statements)

References 35 publications

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“…Li et al [19] addressed the optimization-assessment of energy, food, water, and land framework for bioenergy production in interval-valued uncertainty and demonstrated a case study in northeast China. Yu et al [20] explored a copula-based fuzzy interval-random programming approach under joint-risk and implemented a real-world case study in Henan Province, China. Elsayed et al [21] studied a Nile Water-Food-Energy Nexus management system and depicted a trade-offs opportunity among the resources use policies to a case study in Sudan.…”

Section: Literature Reviewmentioning

confidence: 99%

“…With the aid of auxiliary parameters α, β and γ, the problem (19) can be transformed into the following problem (20): 1] all the constraints of (24) (20) where η is the compensation co-efficient between the overall satisfaction level and the sum of individual marginal evaluation of each objective function in neutrosophic environment. Thus, the development of proposed INPA (20) has a new achievement function which is represented by a convex combination of differences among the bounds for truth, indeterminacy, and falsity degrees of objective function (α − β − γ), and the sum of differences among these achievement degrees…”

Section: Proposed Interative Neutrosophic Programming Approach (Inpa)mentioning

confidence: 99%

“…Definition 2. A vector x * ∈ X is said to be an optimal solution to proposed INPA (20) or an efficient solution to the crisp MOPP (24) if and only if there does not exist any x ∈ X such that,…”

Section: Proposed Interative Neutrosophic Programming Approach (Inpa)mentioning

confidence: 99%

“…Theorem 1. A unique optimal solution of proposed INPA (20) is also an efficient solution to the crisp MOPP (24).…”

Section: Proposed Interative Neutrosophic Programming Approach (Inpa)mentioning

confidence: 99%

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A Robust Neutrosophic Modeling and Optimization Approach for Integrated Energy-Food-Water Security Nexus Management under Uncertainty

Ahmad

Zaindin

et al. 2021

Water

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Natural resources are a boon for human beings, and their conservation for future uses is indispensable. Most importantly, energy-food-water security (EFWS) nexus management is the utmost need of our time. An effective managerial policy for the current distribution and conservation to meet future demand is necessary and challenging. Thus, this paper investigates an interconnected and dynamic EFWS nexus optimization model by considering the socio-economic and environmental objectives with the optimal energy supply, electricity conversion, food production, water resources allocation, and CO2 emissions control in the multi-period time horizons. Due to real-life complexity, various parameters are taken as intuitionistic fuzzy numbers. A novel method called interactive neutrosophic programming approach (INPA) is suggested to solve the EFWS nexus model. To verify and validate the proposed EFWS model, a synthetic computational study is performed. The obtained solution results are compared with other optimization approaches, and the outcomes are also evaluated with significant practical implications. The study reveals that the food production processes require more water resources than electricity production, although recycled water has not been used for food production purposes. The use of a coal-fired plant is not a prominent electricity conversion source. However, natural gas power plants’ service is also optimally executed with a marginal rate of production. Finally, conclusions and future research are addressed. This current study emphasizes how the proposed EFWS nexus model would be reliable and beneficial in real-world applications and help policy-makers identify, modify, and implement the optimal EFWS nexus policy and strategies for the future conservation of these resources.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Proposed Interative Neutrosophic Programming Approach (Inpa)mentioning

confidence: 99%

Section: Proposed Interative Neutrosophic Programming Approach (Inpa)mentioning

confidence: 99%

“…Theorem 1. A unique optimal solution of proposed INPA (20) is also an efficient solution to the crisp MOPP (24).…”

Section: Proposed Interative Neutrosophic Programming Approach (Inpa)mentioning

confidence: 99%

See 2 more Smart Citations

A Robust Neutrosophic Modeling and Optimization Approach for Integrated Energy-Food-Water Security Nexus Management under Uncertainty

Ahmad

Zaindin

et al. 2021

Water

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“…The copula model is widely used in financial risk, resource shortage risk and flood risk analyses (Cai et al 2019). Yu et al (2020) analyzed the joint risk existing in the water-energy nexus system by using a copula-based fuzzy interval-random programming method, and the results provided optimal electricity supply schemes under water resource shortages. Ganguli et al (2013) constructed a copula model of flood peak flow, duration and flow and obtained great flood risk analytical results.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty analysis of water environmental capacity based on the copula model

Shen

Cai

et al. 2022

Preprint

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Water environmental capacity is an important factor in total pollutant control and water environmental management. Due to the uncertainty of the water environment, the uncertainty analysis of water environmental capacity is crucial. Most uncertainty analyses of water environmental capacity do not consider the correlation between various parameters that were used to calculate water environmental capacity. In this study, the copula model of discharge and water quality was constructed to analyze the uncertainty of water environmental capacity. The risk threshold of each river section was calculated when the water environmental capacity was less than 0 in the wet, normal and dry seasons. The Yitong River Basin in Changchun city was taken as a case study. The results showed that the 68.27% confidence level was considered to reduce the uncertainty of water environmental capacity by more than 54.90%. The uncertainty of water environmental capacity in the wet season was the largest, and the risk threshold was the smallest. The risk thresholds for the water environmental capacity of each river reach were all greater than 90% in the dry season. The method of this study can be extended to other basins for uncertainty analysis of water environmental capacity.

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Planning Water-Food-Energy Nexus System Towards Sustainable Development Under Uncertainty

Zhang

Huang

2022

Environment and Sustainable Development

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A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty

Cited by 44 publications

References 35 publications

A Robust Neutrosophic Modeling and Optimization Approach for Integrated Energy-Food-Water Security Nexus Management under Uncertainty

A Robust Neutrosophic Modeling and Optimization Approach for Integrated Energy-Food-Water Security Nexus Management under Uncertainty

Uncertainty analysis of water environmental capacity based on the copula model

Planning Water-Food-Energy Nexus System Towards Sustainable Development Under Uncertainty

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