scholarly journals Multi-Criteria Decision Making Optimisation Framework for Positive Energy Blocks for Cities

2022 ◽  
Vol 14 (1) ◽  
pp. 446
Author(s):  
Maurizio Sibilla ◽  
Fonbeyin Henry Abanda
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Positive Energy ◽  
School Buildings ◽  
Multi Criteria Decision Making ◽  
Low Carbon ◽  
New Paradigm ◽  
Energy Infrastructure ◽  
Future Developments ◽  
Energy Network

The Positive Energy Block (PEBlock) is a new paradigm towards low-carbon cities. However, there is a paucity of literature about methods and tools to develop PEBlocks in practice. This study proposes a multi-criteria decision making optimisation framework for PEBlocks for cities. It explores PEBlock scenarios based on adaptable criteria and actions applied to a block composed of three school buildings, where only one acts as a positive node of the future energy network. Findings point out the flexibility of PEBlock scenarios; firstly, selecting a list of 21 potential positive energy scenarios among 300 possible combinations concerning the block analysed, secondly, individuating the optimal solution and finally, comparing it with others based on the weight assigned to the criteria. This study contributes to understanding the emerging properties concerning PEBlocks, discussing their features and stressing main peculiarities compared to other models (e.g., positive energy districts). It also emphasises the PEBlock as a feasible and reliable energy infrastructure to support new urban organisations (e.g., self-organised energy communities), drawing future developments and implications. Limitations associated with this study are also stressed in the conclusion.

scholarly journals Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots

2020 ◽  
Vol 17 (17) ◽  
pp. 6259
Author(s):  
Xuan Yang ◽  
Zhou-Jing Wang
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Pairwise Comparison ◽  
Evaluation Index System ◽  
Multi Criteria Decision Making ◽  
Low Carbon ◽  
Decision Matrix ◽  
Intuitionistic Fuzzy ◽  
Linguistic Term ◽  
Performance Evaluation Index

Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist activities and play a crucial role in low-carbon tourism. There are multiple factors affecting the low-carbon performance of a tourism scenic spot, and thus the performance evaluation and ranking of low-carbon tourism scenic spots can be framed as a hierarchical multi-criteria decision making (MCDM) problem. This paper develops a novel method to tackle hierarchical MCDM problems, in which the importance preferences of criteria over the decision goal and sub-criteria with respect to the upper-level criterion are provided by linguistic-term-based pairwise comparisons and the assessments of alternatives over each of sub-criteria at the lowest level are furnished by positive interval values. The linguistic-term-based pairwise comparison matrices are converted into intuitionistic fuzzy preference relations and an approach is developed to obtain the global importance weights of the lowest level sub-criteria. A multiplicatively normalized intuitionistic fuzzy decision matrix is established from the interval-value-based assessments of alternatives and a method is proposed to determine the intuitionistic fuzzy value based comprehensive scores of alternatives. A case study is offered to illustrate how to build a performance evaluation index system of low-carbon tourism scenic spots located at Zhejiang Province of China and show the use of the proposed intuitionistic fuzzy hierarchical MCDM method.

Multi-Criteria Decision-Making Tools for Selection Photovoltaic Modules

2018 ◽  
Vol 27 ◽  
pp. 147-151
Author(s):  
Gabriela Demian ◽  
Mihai Demian ◽  
Stefan Radu ◽  
Sandu Dubovan
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Photovoltaic Module ◽  
Multi Criteria Decision Making ◽  
Photovoltaic Modules ◽  
Decision Methods ◽  
Pv Modules ◽  
Criteria For Selection

This paper presents aplying a multi-criteria decision methods to evaluate an optimum photovoltaic module for the construction of a solar park. In this work, seven number of alternative of photovoltaic modules and four criteria for selection is used for the optimal solution. The result from the research demonstrate which of the analyzed PV modules is the most convenient to be used for construction of a solar park.

scholarly journals SELECTION OF OPTIMAL SEISMIC RETROFITTING FOR EXISTING SCHOOL BUILDINGS THROUGH MULTI-CRITERIA DECISION MAKING

2021 ◽  
Author(s):  
Wilson Carofilis ◽  
Nicholas Clemett ◽  
Giammaria Gabbianelli ◽  
Gerard O’Reilly ◽  
Ricardo Monteiro
Keyword(s):  
Decision Making ◽  
Seismic Retrofitting ◽  
School Buildings ◽  
Multi Criteria Decision Making ◽  
Selection Of

scholarly journals Low-Carbon Energy Planning: A Hybrid MCDM Method Combining DANP and VIKOR Approach

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3401 ◽  
Author(s):  
Ruijun Liu ◽  
Hao Sun ◽  
Lu Zhang ◽  
Qianwei Zhuang ◽  
Lele Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Living Standards ◽  
Energy Planning ◽  
Multi Criteria Decision Making ◽  
Environment Protection ◽  
Low Carbon ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
Low Carbon Energy

With the development of urbanization, people’s living standards have improved. Simultaneously, the growing aggravation of resource shortages and environmental pollution have also gradually attracted widespread attention. Low-carbon energy planning can effectively reduce dependence on fossil resources and carbon emissions to the atmosphere, as well as improve the utilization of resources. Therefore, the formulation and evaluation of low-carbon energy planning have become the focus of attention for related colleges and institutions. This paper puts forward a hybrid multi-criteria decision making(MCDM) method combining decision making trial and evaluation laboratory(DEMATEL), analytical network process(ANP), and VIKOR to obtain the weight of each criterion and evaluate each alternative about low-carbon energy planning for building. A hierarchy structure of criteria involving cost, safety, reliability, and environment protection is built. Afterwards, a case of four alternatives is applied for testifying this methodology. Lastly, a comparison with prior methodologies serves as proof of the raised ranking. The presentation has proved that this methodology offers a more precise and effective foundation for decisions about low-carbon energy planning evaluation.

scholarly journals Selecting Optimal Pedestrian Crossing Using Multi-criteria Decision-making

2012 ◽  
Vol 22 (2) ◽  
pp. 105-116 ◽  
Author(s):  
Ljupko Šimunović ◽  
Ivan Grgurević ◽  
Jasmina Pašagić Škrinjar
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Multi Criteria Decision Making ◽  
Rational Analysis ◽  
Safety Level ◽  
Persons With Disabilities ◽  
The Road ◽  
Pedestrian Crossing ◽  
The Cost ◽  
Selection Methodology

Pedestrian crossings are the critical points in the traffic network that need to enable pedestrians to safely cross the road. The safety level depends on the type of pedestrian crossing. The differences between individual types of pedestrian crossings can be noted also in relation to other criteria such as the price, energy, environmental impact, accessibility, etc. Besides, various groups of users assess the quality service differently, even when this refers to the same type of pedestrian crossing. Therefore, optimal solution of a pedestrian crossing has to be selected based on a comprehensive and rational analysis and application of adequate software tools. The selection methodology of an optimal pedestrian crossing is defined using a multi-criteria analysis. In order to view the problem as a whole, four scenarios of evaluating alternatives are foreseen. Four different groups of stakeholders: traffic experts, investors, groups of persons with disabilities and healthy persons (persons not included in the previous three stakeholder groups), who use a pedestrian crossing (according to different age, disability, perception of personal safety, etc.), assessed the importance of the offered criteria. Different groups of users have different preferences in relation to individual groups of criteria, depending on their interests and needs. One group finds the criterion of pedestrian safety the most important one, others think that finances are most important (the cost of construction), some think that accessibility is the most important issue, etc. The solutions obtained in this manner provide insight into the advantages and drawbacks of individual versions. This makes it easier for the decision-makers to select only one variant / alternative from a group of the offered solutions in compliance with the defined criteria and sub-criteria with the aim of defining an optimal pedestrian crossing for a certain spatial and traffic location. KEY WORDS: pedestrian crossing, multi-criteria decision-making, analytical hierarchy process

Fault-Diagnosis Sensor Selection for Fuel Cell Stack Systems Combining an Analytic Hierarchy Process with the Technique Order Performance Similarity Ideal Solution Method

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2366
Author(s):  
Guangying Jin ◽  
Guangzhe Jin
Keyword(s):  
Decision Making ◽  
Fuel Cell ◽  
Fault Diagnosis ◽  
Optimal Solution ◽  
Sensor Selection ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Fuel Cell Stack ◽  
Asymmetric Problem ◽  
Selection Methodology

Multi-Criteria Decision Making (MCDM) methods have rapidly developed and have been applied to many areas for decision making in engineering. Apart from that, the process to select fault-diagnosis sensor for Fuel Cell Stack system in various options is a multi-criteria decision-making (MCDM) issue. However, in light of the choosing of fault diagnosis sensors, there is no MCDM analysis, and Fuel Cell Stack companies also urgently need a solution. Therefore, in this paper, we will use MCDM methods to analysis the fault-diagnosis sensor selection problem for the first time. The main contribution of this paper is to proposed a fault-diagnosis sensor selection methodology, which combines the rank reversal resisted AHP and TOPSIS and supports Fuel Cell Stack companies to select the optimal fault-diagnosis sensors. Apart from that, through the analysis, among all sensor alternatives, the acquisition of the optimal solution can be regarded as solving the symmetric or asymmetric problem of the optimal solution, which just maps to the TOPSIS method. Therefore, after apply the proposed fault-diagnosis sensor selection methodology, the Fuel Cell Stack system fault-diagnosis process will be more efficient, economical, and safe.

scholarly journals A hybrid multi-criteria decision-making approach to order natural gas consuming countries

2021 ◽  
Vol 12 (2) ◽  
pp. 691-710
Author(s):  
Ester Figueiredo Girão ◽  
Luiz Flavio Autran Monteiro Gomes
Keyword(s):  
Decision Making ◽  
Natural Gas ◽  
Economic Transition ◽  
Multi Criteria Decision Making ◽  
Low Carbon ◽  
Topsis Method ◽  
National Agency ◽  
Promethee Ii ◽  
Low Carbon Economy ◽  
Gas Market

Societies worldwide are committed to moving towards a low carbon economy, and natural gas is considered a transition fuel between fossil (such as gasoline and diesel) and renewable fuels. Based on the relevance of natural gas in this economic transition, this paper demonstrates the application of a hybrid multi-criteria decision-making approach to order the natural gas consuming countries. The aim is to support decision-making in the natural gas market, offering elements to prioritize the trade worldwide. The study observed three criteria: consumption variation for years 2014 to 2016; the volume of production in the same period; and proven natural gas reserves in 2016. The data to demonstrate the countries’ performance was obtained from a yearly statistic publication of the Brazilian National Agency of Petroleum, Natural Gas, and Biofuels (ANP), released in 2017. Finally, the decision-making methods adopted to assess the criteria were, first, the WINGS method, applied to generate the weights of each criterion. Second, the study adopted the TOPSIS method to pre-select the countries closest to becoming a global consumer of natural gas. After applying the TOPSIS method, a pre-analysis of dominance among alternatives (pre-selected countries) was conducted, excluding the dominated ones from the list obtained. Third, the PROMÉTHÉE II method was applied to establish the order of the natural gas-consuming countries.

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