scholarly journals IDENTIFYING THE MOST SUITABLE SUSTAINABLE ENERGY SYSTEM FOR NEPAL USING ANALYTIC HIERARCHY PROCESS

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Prabal Sapkota ◽  
Martina Pokharel ◽  
Madhav Prasad Pandey
Keyword(s):  
Analytic Hierarchy Process ◽  
Sustainable Energy ◽  
Energy System ◽  
Multiple Stakeholders ◽  
Analytic Hierarchy ◽  
Research Prioritization ◽  
Stakeholder Groups ◽  
Sustainable Energy Systems ◽  
Sustainable Energy System ◽  
Hierarchy Process

The issue of climate change and energy crisis can be resolved by the advancement of sustainable energy systems. The process of energy development in developing countries with a poor economy is complicated. One has to consider numerous factors and sub-factors which are important for the system to be acceptable to the multiple stakeholders. Involvement of multiple entities makes the process a real case of Multi Criteria Decision Making (MCDM). This study deals with identification of various stakeholders, factors, sub-factors and alternatives associated with sustainable energy selection in Nepal. The Analytic Hierarchy Process (AHP) has been used as a tool to deal with the MCDM problem in this research. Prioritization of alternatives has been obtained with the application of AHP. Further, the analysis has also been done based on the perception of multiple stakeholder groups. The result shows that politicians are the most important (61%) among the stakeholders for the development of sustainable energy in Nepal. Among the alternatives, the majority of the respondents believe that biogas should be given the highest priority.

scholarly journals Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

2018 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
Omid Ghorbanzadeh ◽  
Sarbast Moslem ◽  
Thomas Blaschke ◽  
Szabolcs Duleba
Keyword(s):  
Analytic Hierarchy Process ◽  
Public Transportation ◽  
Pairwise Comparison ◽  
Urban Transport ◽  
Preference Ranking ◽  
Decision Support Model ◽  
Analytic Hierarchy ◽  
Stakeholder Groups ◽  
User Groups ◽  
Hierarchy Process

Sustainable urban transport requires smart and environmentally-friendly technical solutions. It also needs to meet the demands of different user groups, including current and potential future users, in order to avoid opposition of the citizens and to support sustainable development decisions. While these requirements are well-known, conducting full surveys of user needs and preferences are tedious and costly, and the interests of different user groups may be contradictory. We therefore developed a methodology based on the prevalent Analytic Hierarchy Process (AHP), which is capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups. For a case study in Mersin, a coastal city in southern Turkey with 1.7 Million inhabitants, three groups were surveyed with questionnaires: 40 users of the public transport system, 40 non-users, and 17 experts. Based on interval pairwise comparison matrices, consisting of whole judgments of all groups, the IAHP methodology could attain a consensual preference ranking for a future public transportation system between the three groups. A sensitivity analysis revealed that the factor ranking was very stable.

Interval Type-2 Fuzzy Analytic Hierarchy Process for Sustainable Energy Sources Selection

2017 ◽  
Vol 6 (3) ◽  
pp. 124-137 ◽  
Author(s):  
Lazim Abdullah ◽  
Liana Najib
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Sustainable Energy ◽  
Computational Method ◽  
Fuzzy Analytic Hierarchy Process ◽  
Energy Sources ◽  
Analytic Hierarchy ◽  
Interval Type ◽  
Hierarchy Process

Selecting sustainable energy sources is one of the efforts to ensuring optimum energy consumption. However, the selection process is not straight forward as it requires multi-criteria that inherited uncertainty and qualitative evaluation. Multi-criteria evaluation that based on fuzzy set theory is one of the well-known methods to handle uncertainty in decision making and vagueness of information. This paper develops a preference for sustainable energy using the linguistic evaluation of interval type-2 fuzzy analytic hierarchy process (IT2 FAHP). Seven alternatives of sustainable energy sources that closely related to nine criteria were identified as the hierarchical structure of the decision making problem. Two academicians and an engineer attached to government agencies were invited to provide linguistic evaluation. The linguistic evaluations were analyzed using the newly developed IT2 FAHP. The seven-step computational method was implemented and the results suggest that solar energy is the best alternative in selecting the viable sustainable energy.

scholarly journals Toward a sustainable energy system in China: Status and influencing factors

2021 ◽  
pp. 014459872110542
Author(s):  
Tao Liu ◽  
Na Zhou ◽  
Qiaosheng Wu ◽  
Dandan Wang ◽  
Xiangping Hu
Keyword(s):  
Environmental Sustainability ◽  
Sustainable Energy ◽  
Correlation Method ◽  
Energy System ◽  
Entropy Method ◽  
Analytic Hierarchy ◽  
Endogenous Factors ◽  
Distributed Lag ◽  
Sustainable Energy System ◽  
Criteria Importance

This paper focused on the endogenous and exogenous factors that affect China's sustainable energy system (SES). 19 Endogenous factors, from economic sustainability dimension, social sustainability dimension, environmental sustainability dimension and energy security dimension assessed China's SES by entropy method-analytic hierarchy process-criteria importance through intercriteria correlation method (EM-AHP-CRITIC). We used urbanization, foreign direct investment and industrialization as exogenous variables and explored the extent of their long-term and short-term impacts on China's SES by autoregressive distributed lag-error correction (ARDL-ECM) model.

Sign in / Sign up

Export Citation Format

Share Document