scholarly journals An Integrated Delphi-AHP and Fuzzy TOPSIS Approach toward Ranking and Selection of Renewable Energy Resources in Pakistan

Processes ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 118 ◽  
Author(s):  
Yasir Ahmed Solangi ◽  
Qingmei Tan ◽  
Nayyar Hussain Mirjat ◽  
Gordhan Das Valasai ◽  
Muhammad Waris Ali Khan ◽  
...  

Pakistan has long relied on fossil fuels for electricity generation. This is despite the fact that the country is blessed with enormous renewable energy (RE) resources, which can significantly diversify the fuel mix for electricity generation. In this study, various renewable resources of Pakistan—solar, hydro, biomass, wind, and geothermal energy—are analyzed by using an integrated Delphi-analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS)-based methodology. In the first phase, the Delphi method was employed to define and select the most important criteria for the selection of RE resources. This process identified four main criteria, i.e., economic, environmental, technical, and socio-political aspects, which are further supplemented by 20 sub-criteria. AHP is later used to obtain the weights of each criterion and the sub-criteria of the decision model. The results of this study reveal wind energy as the most feasible RE resource for electricity generation followed by hydropower, solar, biomass, and geothermal energy. The sensitivity analysis of the decision model results shows that the results of this study are significant, reliable, and robust. The study provides important insights related to the prioritizing of RE resources for electricity generation and can be used to undertake policy decisions toward sustainable energy planning in Pakistan.

Author(s):  
Akshay Kumar Uppala ◽  
Rishabh Ranka ◽  
J. J. Thakkar ◽  
Manupati Vijay Kumar ◽  
Shilpa Agrawal

The environmental pressure from various stakeholders, particularly in the selection of green suppliers in the industrial sector, is alarming. The companies are realizing the significance of incorporating green practices in their daily operations. This chapter proposes a framework on the criteria of GSCM practices using MCDM analysis to select green suppliers for an Indian electronics company. The authors have collected the data from a set of 10 available suppliers. The authors use fuzzy AHP and fuzzy TOPSIS approach to rank the suppliers based on the decision makers' preferences on the selection of green suppliers using GSCM practices. The three dominating criteria concluded by the results are the commitment of senior management towards GSCM; product design that incorporates three R's policy for component, materials, and energy; abidance with environmental laws and auditing programs. This chapter carries out a comparison between Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy TOPSIS method to enhance the quality of decision making and validate the rankings.


2005 ◽  
Vol 9 (3) ◽  
pp. 15-23 ◽  
Author(s):  
Fajik Begic ◽  
Anes Kazagic

Along with the current processes of restructuring of Energy power system of Bosnia and Herzegovina, liberalization of the electricity market, and modernization of the existing power plants, Bosnia and Herzegovina must turn to the utilization of renewable resources in reason able dynamics as well. Respecting this policy, the initial Valuation of the potential of renewable erg resources in Bosnia and Herzegovina is per formed. The methodology of evaluation of wind energy utilization is presented in this paper, as well as some other aspects of utilization of the renewable energy resources in Bosnia and Herzegovina. Implementation of selected projects should improve sustainability of energy power production in Bosnia and Herzegovina, by reducing the total emission of carbon dioxide originated from energy power system of Bosnia and Herzegovina.


Author(s):  
Talip Arsu

Electricity generation, one of the renewable energy sources (RES), delivers a solution for various problems such as energy efficiency, energy supply security, reducing foreign dependency, and especially, environmental concerns. However, the solutions provided for these problems bring along the question of which RESs are produced more effectively. Therefore, in this research, RESs used for electricity generation in Turkey were analyzed by using generation data to show which one is more effective. Bi-objective multiple-criteria data envelopment analysis (BiO-MCDEA) method, a goal programming-based efficiency determination method, was used for the efficiency analysis conducted for five years between the years of 2014 and 2018. As a result of the analysis, geothermal energy came into prominence as the most effective RES for all of the years included in the solution. Geothermal energy was followed by biomass energy, wind energy, hydroelectric, and solar energy, respectively.


2017 ◽  
Vol 6 (3) ◽  
pp. 50-65
Author(s):  
Dilek Temiz Dinç ◽  
Aytaç Gökmen ◽  
Zehra Burçin Kanık

Energy is the source of development of the mankind and an indispensable input for economic growth. Currently, most of the energy consumed in the world is composed of fossil fuels which are not environmentally friendly and reliable since their prices are volatile and their supply compels importing countries dependent on energy exporting countries. Thus, a good remedy to reduce fossil fuel dependency is to utilize more renewable energy resources. Renewable resources can be replenished quickly, are almost infinite and would lead a country to sustainable development. The Republic of Turkey is a net importer of energy. The diversification of energy sources and supply security is of great importance for it. Thus, the objective of this study is to analyze the relationship between renewable energy production and economic growth in Turkey by using Johansen Cointegration Test, Vector Error Correction Model (VECM), Granger Causality Test and the Augmented Dickey-Fuller Test (ADF). Consequently, both long run and short run a casualty running from GDP growth to renewable energy production is determined in the study.


Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5752
Author(s):  
Zofia Gródek-Szostak ◽  
Marcin Suder ◽  
Rafał Kusa ◽  
Anna Szeląg-Sikora ◽  
Joanna Duda ◽  
...  

Stable and sustainable economic development—including that of renewable energy resources (RES)—requires institutional support of an environment that would enable market operations, and support them in case they are ineffective. Innovation brokers, including structured technology transfer networks, play a key role in promoting, disseminating, and liaising between the parties in the RES sector. The aim of the paper is to present the structure of events used to promote RES in Europe by the Enterprise Europe Network in the years 2017–2018; to verify whether the type of promotion instrument used is significantly related to the location of the events organized; to research whether the selection of the supporting partner is determined by the organized event’s geographical location. The analysis is carried out by means of an empirical study of the network of innovation brokers, i.e., the Enterprise Europe Network. Additionally, the available data are analyzed in terms of the type of the partner supporting individual events. It has been shown that there is a significant variation in the structure of the types of events for individual regions of Europe. This could mean that the organizers’ decisions as to the type of events organized in particular regions of Europe are deliberate and in some way adjusted to the region in which they take place.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sanghyun Lee

Photovoltaics (PV-also called solar photovoltaic devices) are used to harness the power of the sun via the electronic process that occurs within semiconductor cells. The solar energy is absorbed by the cells, which causes the electrons to break away from their atoms, allowing them to flow within the material to produce electricity. This electricity will become the renewable energy for Kentucky, as the generation of coal will but come to a stop within the near future. Like Denmark who is running on 100% renewable generation we must stride to become fully operational on solar. In the present work, we systematically studied about renewable energy resources, in particular, solar energy for the application of photovoltaic panels in Eastern Kentucky. By analyzing data from our PV cells at Morehead State University designed to follow the direction of the sun for optimized output and by incorporating MPPT charge controllers, we have constructed a maximum power algorithm that performs best for the location. Utilizing these, measurements of daily electricity production in comparison to the average power needed for household use has validated our research. With the advancements in solar cell technology what was once impossible is now reality, as solar power can easily power this region based on our data. Knowing this, being a prime location we can now push to enable the advancement of renewable energy production and become less dependent on fossil fuels, thus creating an infrastructure that will run off solar power.


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