Applying analytic hierarchy process to industrial process design in a Nuclear Renewable Hybrid Energy System

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.

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A Study of Technology Diffusion and Productivity Levels in the Natural Rubber Industries of Cambodia and Thailand by Adopting the Analytic Hierarchy Process

Journal on Innovation and Sustainability RISUS ISSN 2179-3565 ◽

10.24212/2179-3565.2011v2i3p44-51 ◽

2011 ◽

Vol 2 (3) ◽

pp. 44

Author(s):

Nobuo Hirohata

Keyword(s):

Human Resources ◽

Analytic Hierarchy Process ◽

Natural Rubber ◽

Technology Diffusion ◽

Industrial Process ◽

Analytic Hierarchy ◽

The Analytic Hierarchy Process ◽

Removal Technologies ◽

Foreign Materials ◽

Hierarchy Process

The paper focuses on the productivity of the natural rubber industries of Cambodia and Thailand by analyzing the diffusion of agricultural and industrial technologies throughout the planting, cultivating and primary processing by adopting the analytic hierarchy process. The paper draws a conclusion that the technology diffusion in Cambodia is behind especially in terms of clone technologies in the agriculture process, foreign materials removal technologies in the industrial process, and the gap of human resources and research institute related to natural rubber industries are highlighted.

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Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

Applied Mathematical Modelling ◽

10.1016/j.apm.2014.07.018 ◽

2015 ◽

Vol 39 (2) ◽

pp. 913-923 ◽

Cited By ~ 20

Author(s):

Emrah Bulut ◽

Okan Duru ◽

Gazi Koçak

Keyword(s):

Empirical Study ◽

Analytic Hierarchy Process ◽

Process Design ◽

Selection Problem ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Marine Engine ◽

Hierarchy Process

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Sustainability Performance Evaluation of Hybrid Energy System Using an Improved Fuzzy Synthetic Evaluation Approach

Sustainability ◽

10.3390/su11051265 ◽

2019 ◽

Vol 11 (5) ◽

pp. 1265 ◽

Cited By ~ 3

Author(s):

Lihui Zhang ◽

He Xin ◽

Zhinan Kan

Keyword(s):

Cloud Model ◽

Evaluation Criteria ◽

Energy System ◽

Fuzzy Synthetic Evaluation ◽

Analytic Hierarchy ◽

Hybrid Energy System ◽

Hybrid Energy ◽

Sustainability Performance ◽

Evaluation Approach ◽

Synthetic Evaluation

The hybrid energy system (HES) has attracted more and more attention since it can not only achieve multi-energy supply but realize cascade utilization of energy resources. However, the performances of the HES in relation to economic, environmental, social, and technological aspects are rarely studied. Therefore, this paper tries to fill this research gap to evaluate the sustainability performance of an HES. First, an evaluation criteria system is established based on a literature review. After that, the group analytic hierarchy process (GAHP) technique is used to obtain the importance weights of these criteria. Later, the sustainability performance of the HES is calculated through an improved fuzzy synthetic evaluation (FSE) approach based on a cloud model. The applicability of this approach is demonstrated by a real case study in Zhejiang province, China. Finally, the sensitivity analysis results reveal that the overall consequence is that the performance of an HES is robust when the criteria weight is floating within a certain range (−30–30%), and the comparative analysis with the traditional FSE also reveals that the proposed approach is superior.

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