This paper presents a novel multi-criteria decision-making(MCDM)model for selecting optimal locations for a solar-wind hybrid energy plant in Vietnam.The study employs the Criteria Importance Through Intercriteria Cor...This paper presents a novel multi-criteria decision-making(MCDM)model for selecting optimal locations for a solar-wind hybrid energy plant in Vietnam.The study employs the Criteria Importance Through Intercriteria Correlation(CRITIC)and Combined Compromise Solution(CoCoSo)methods to address the challenge of evaluating potential sites based on a range of economic,technical,environmental,and social criteria.By integrating CRITIC for criteria weighting and CoCoSo for ranking alternatives,the study underscores the importance of objective,data-driven approaches in the strategic planning and implementation of sustainable energy projects.The results identifyHamThuanNamDistrict inBinhThuan Province(DA4)as themost suitable site for the solar-wind hybrid energy plant,with a performance score of 2.0919.Phan Thiet City(DA3)and Ninh Phuoc District(DA6)rank second and third,with scores of 2.0655 and 1.8723,respectively.Sensitivity analysis confirms the robustness of the model,showing stable rankings under various scenarios.展开更多
Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced h...Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced hydrogen,and the rational selection of a viable method is crucial for promoting sustainability and green practices.Typically,hydrogen storage is associated with diverse sustainable and circular economy(SCE)criteria.As a result,the authors consider the situation a multi-criteria decision-making(MCDM)problem.Studies infer that previous models for hydrogen storage method(HSM)selection(i)do not consider preferences in the natural language form;(ii)weights of experts are not methodically determined;(iii)hesitation of experts during criteria weight assessment is not effectively explored;and(iv)three-stage solution of a suitable selection of HSM is unexplored.Driven by these gaps,in this paper,authors put forward a new integrated framework,which considers double hierarchy linguistic information for rating,criteria importance through inter-criteria correlation(CRITIC)for expert weight calculation,evidence-based Bayesian method for criteria weight estimation,and combined compromise solution(CoCoSo)for ranking HSMs.The applicability of the developed framework is testified by using a case example of HSM selection in India.Sensitivity and comparative analysis reveal the merits and limitations of the developed framework.展开更多
针对传统评估方法难以量化不确定性、且因未能保留中立态度而引发决策偏差的问题,首先在语言q阶正交模糊Z数(LqROFZ)的框架下,引入中性运算法则,定义中性运算下加权算术(LqROFZNWA)与加权几何(LqROFZNWGA)聚合算子并论证其数学特性,规...针对传统评估方法难以量化不确定性、且因未能保留中立态度而引发决策偏差的问题,首先在语言q阶正交模糊Z数(LqROFZ)的框架下,引入中性运算法则,定义中性运算下加权算术(LqROFZNWA)与加权几何(LqROFZNWGA)聚合算子并论证其数学特性,规避传统运算对专家中立态度的破坏,确保信息聚合时完整保留原始中立判断。其次,提出基于排序结果与评价值二维相似度的属性偏好计算方法,并借助Jensen-Shannon散度优化模型,动态平衡主客观信息;最后,采用Co Co So排序方法,有效融合两种聚合路径,并以安徽省药企质量风险评估为实例,验证该模型的优越性与有效性。展开更多
In developing countries,solar energy is the largest source of energy,accounting for 35%–45%of the total energy supply.This energy resource plays a vital role in meeting the energy needs of the world,especially in Vie...In developing countries,solar energy is the largest source of energy,accounting for 35%–45%of the total energy supply.This energy resource plays a vital role in meeting the energy needs of the world,especially in Vietnam.Vietnam has favorable natural conditions for this energy production.Because it is hot and humid,and it has much rainfall and fertile soil,biomass develops very quickly.Therefore,byproducts from agriculture and forestry are abundant and continuously increasing.However,byproducts that are considered natural waste have become the cause of environmental pollution;these include burning forests,straw,and sawdust in the North;and rice husks dumped into rivers and canals in the Mekong Delta region.Biomass energy is provided in a short cycle,is environmentally safe to use and is encouraged by organizations that support sustainable development.Taking advantage of this energy source provides energy for economic development and ensures environmental protection.Due to the abovementioned favorable conditions,many biomass energy plants are being built in Vietnam.Like other renewable energy investment projects,the selection of the construction contractor,the selection of equipment for the installation of the power plant,and the choice of construction site are complex multi-criteria decisions.In this case,decisionmakers must evaluate many qualitative and quantitative factors.These factors interact with each other and it is difficult to use personal experience to choose the optimal solution for such complex decision-making problems,especially in a fuzzy decision-making environment.Therefore,in this study,the authors use a Multi-Criteria Decision-Making(MCDM)model that uses a Fuzzy Analytic Hierarchy Process(FAHP)model and the Combined Compromise Solution(CoCoSo)algorithm to select biomass furnace suppliers utilizing both qualitative and quantitative factors.Furthermore,the results of this work will provide the first look at a hybrid CoCoSo/FAHP method that decision-makers in other fields can use to find the best supplier.展开更多
文摘This paper presents a novel multi-criteria decision-making(MCDM)model for selecting optimal locations for a solar-wind hybrid energy plant in Vietnam.The study employs the Criteria Importance Through Intercriteria Correlation(CRITIC)and Combined Compromise Solution(CoCoSo)methods to address the challenge of evaluating potential sites based on a range of economic,technical,environmental,and social criteria.By integrating CRITIC for criteria weighting and CoCoSo for ranking alternatives,the study underscores the importance of objective,data-driven approaches in the strategic planning and implementation of sustainable energy projects.The results identifyHamThuanNamDistrict inBinhThuan Province(DA4)as themost suitable site for the solar-wind hybrid energy plant,with a performance score of 2.0919.Phan Thiet City(DA3)and Ninh Phuoc District(DA6)rank second and third,with scores of 2.0655 and 1.8723,respectively.Sensitivity analysis confirms the robustness of the model,showing stable rankings under various scenarios.
文摘Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced hydrogen,and the rational selection of a viable method is crucial for promoting sustainability and green practices.Typically,hydrogen storage is associated with diverse sustainable and circular economy(SCE)criteria.As a result,the authors consider the situation a multi-criteria decision-making(MCDM)problem.Studies infer that previous models for hydrogen storage method(HSM)selection(i)do not consider preferences in the natural language form;(ii)weights of experts are not methodically determined;(iii)hesitation of experts during criteria weight assessment is not effectively explored;and(iv)three-stage solution of a suitable selection of HSM is unexplored.Driven by these gaps,in this paper,authors put forward a new integrated framework,which considers double hierarchy linguistic information for rating,criteria importance through inter-criteria correlation(CRITIC)for expert weight calculation,evidence-based Bayesian method for criteria weight estimation,and combined compromise solution(CoCoSo)for ranking HSMs.The applicability of the developed framework is testified by using a case example of HSM selection in India.Sensitivity and comparative analysis reveal the merits and limitations of the developed framework.
文摘针对传统评估方法难以量化不确定性、且因未能保留中立态度而引发决策偏差的问题,首先在语言q阶正交模糊Z数(LqROFZ)的框架下,引入中性运算法则,定义中性运算下加权算术(LqROFZNWA)与加权几何(LqROFZNWGA)聚合算子并论证其数学特性,规避传统运算对专家中立态度的破坏,确保信息聚合时完整保留原始中立判断。其次,提出基于排序结果与评价值二维相似度的属性偏好计算方法,并借助Jensen-Shannon散度优化模型,动态平衡主客观信息;最后,采用Co Co So排序方法,有效融合两种聚合路径,并以安徽省药企质量风险评估为实例,验证该模型的优越性与有效性。
文摘In developing countries,solar energy is the largest source of energy,accounting for 35%–45%of the total energy supply.This energy resource plays a vital role in meeting the energy needs of the world,especially in Vietnam.Vietnam has favorable natural conditions for this energy production.Because it is hot and humid,and it has much rainfall and fertile soil,biomass develops very quickly.Therefore,byproducts from agriculture and forestry are abundant and continuously increasing.However,byproducts that are considered natural waste have become the cause of environmental pollution;these include burning forests,straw,and sawdust in the North;and rice husks dumped into rivers and canals in the Mekong Delta region.Biomass energy is provided in a short cycle,is environmentally safe to use and is encouraged by organizations that support sustainable development.Taking advantage of this energy source provides energy for economic development and ensures environmental protection.Due to the abovementioned favorable conditions,many biomass energy plants are being built in Vietnam.Like other renewable energy investment projects,the selection of the construction contractor,the selection of equipment for the installation of the power plant,and the choice of construction site are complex multi-criteria decisions.In this case,decisionmakers must evaluate many qualitative and quantitative factors.These factors interact with each other and it is difficult to use personal experience to choose the optimal solution for such complex decision-making problems,especially in a fuzzy decision-making environment.Therefore,in this study,the authors use a Multi-Criteria Decision-Making(MCDM)model that uses a Fuzzy Analytic Hierarchy Process(FAHP)model and the Combined Compromise Solution(CoCoSo)algorithm to select biomass furnace suppliers utilizing both qualitative and quantitative factors.Furthermore,the results of this work will provide the first look at a hybrid CoCoSo/FAHP method that decision-makers in other fields can use to find the best supplier.
