scholarly journals Environmental oriented optimal selection of renewable and green energy sources using intelligent methods: A case study of Bafgh – Iran

2017 ◽  
Vol 10 (2) ◽  
pp. 330-340
Author(s):  
Roohollah Sadeghi Goughari ◽  
Hadi Zayandehroodi ◽  
Mahdiyeh Eslami
Keyword(s):  
Green Energy ◽  
Energy Sources ◽  
Optimal Selection ◽  
Intelligent Methods ◽  
Selection Of

scholarly journals Methodology for Determining the Location of River Ports on a Modernized Waterway Based on Non-Cost Criteria: A Case Study of the Odra River Waterway

2021 ◽  
Vol 13 (6) ◽  
pp. 3571
Author(s):  
Bogusz Wiśnicki ◽  
Dorota Dybkowska-Stefek ◽  
Justyna Relisko-Rybak ◽  
Łukasz Kolanda
Keyword(s):  
Large Scale ◽  
Multicriteria Decision Making ◽  
Research Process ◽  
Optimal Selection ◽  
Investment Projects ◽  
Odra River ◽  
Research Problems ◽  
Selection Of ◽  
Construction Works

The paper responds to research problems related to the implementation of large-scale investment projects in waterways in Europe. As part of design and construction works, it is necessary to indicate river ports that play a major role within the European transport network as intermodal nodes. This entails a number of challenges, the cardinal one being the optimal selection of port locations, taking into account the new transport, economic, and geopolitical situation that will be brought about by modernized waterways. The aim of the paper was to present an original methodology for determining port locations for modernized waterways based on non-cost criteria, as an extended multicriteria decision-making method (MCDM) and employing GIS (Geographic Information System)-based tools for spatial analysis. The methodology was designed to be applicable to the varying conditions of a river’s hydroengineering structures (free-flowing river, canalized river, and canals) and adjustable to the requirements posed by intermodal supply chains. The method was applied to study the Odra River Waterway, which allowed the formulation of recommendations regarding the application of the method in the case of different river sections at every stage of the research process.

Comparative Analysis of MCDM Methods for the Evaluation of Optimum Green Energy Sources

2021 ◽  
pp. 231-262
Author(s):  
Chiranjib Bhowmik ◽  
Sreerupa Dhar ◽  
Amitava Ray
Keyword(s):  
Green Energy ◽  
Energy Sources ◽  
Illustrative Case ◽  
Project Investment ◽  
Implementation Period ◽  
Sustainable Planning ◽  
Useful Life ◽  
Illustrative Case Study ◽  
Future Project

The aim of this article is to select the optimum green energy sources for sustainable planning from a given set of energy alternatives. This study examines the combined behavior of multi-criteria decision-making approaches-TOPSIS, MOOSRA and COPRAS are used to evaluate the green energy sources–solar, hydro, biogas and biomass and to identify the optimum source by appraising its functioning features based on entropy probability technique. An illustrative case study is presented in order to demonstrate the application feasibility of the combined approaches for the ranking of optimum green energy sources. The analyzed results show that biogas is the optimum green energy source having the highest score value obtained by combined approaches. The sensitivity analysis shows the robustness of the combined approaches with the highest effectiveness. The study not only considers the various cost criteria but other actors like power generation, implementation period and useful life are also considered to select the optimum green energy sources for future project investment.

scholarly journals Consumers’ Attitudes to Support Green Energy: A Case Study in Shanghai

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2379 ◽  
Author(s):  
Behrang Vand ◽  
Aira Hast ◽  
Sanaz Bozorg ◽  
Zelin Li ◽  
Sanna Syri ◽  
...  
Keyword(s):  
Electricity Market ◽  
Questionnaire Survey ◽  
Income Level ◽  
Green Energy ◽  
Energy Sources ◽  
Monthly Income ◽  
Residential Sector ◽  
Energy Products ◽  
Willingness To Use

Residents’ willingness to use green energy products is a major concern for different stakeholders and policymakers due to the reformed Chinese electricity market since 2015. This study focused on the Chinese consumer’s willingness to opt and pay for environmentally-friendly electricity sources in Shanghai’s residential sector. A questionnaire survey was used to find out the influence of gender, age, education, awareness and income level on consumers’ attitudes to alter their energy sources to green ones. The results indicated that income level and awareness are significant barriers in the usage of green energy products. Increasing the respondent’s awareness about the issues of non-green energy products convinced 97% of them to change their electricity sources completely or partly, in line with their monthly income. This clearly shows that clarifying the benefits of green energy products is a key tool to achieve a green environment in China.

Comparative Analysis of MCDM Methods for the Evaluation of Optimum Green Energy Sources

2019 ◽  
Vol 11 (4) ◽  
pp. 1-28 ◽  
Author(s):  
Chiranjib Bhowmik ◽  
Sreerupa Dhar ◽  
Amitava Ray
Keyword(s):  
Green Energy ◽  
Energy Sources ◽  
Illustrative Case ◽  
Project Investment ◽  
Implementation Period ◽  
Sustainable Planning ◽  
Useful Life ◽  
Illustrative Case Study ◽  
Future Project

The aim of this article is to select the optimum green energy sources for sustainable planning from a given set of energy alternatives. This study examines the combined behavior of multi-criteria decision-making approaches-TOPSIS, MOOSRA and COPRAS are used to evaluate the green energy sources–solar, hydro, biogas and biomass and to identify the optimum source by appraising its functioning features based on entropy probability technique. An illustrative case study is presented in order to demonstrate the application feasibility of the combined approaches for the ranking of optimum green energy sources. The analyzed results show that biogas is the optimum green energy source having the highest score value obtained by combined approaches. The sensitivity analysis shows the robustness of the combined approaches with the highest effectiveness. The study not only considers the various cost criteria but other actors like power generation, implementation period and useful life are also considered to select the optimum green energy sources for future project investment.

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