Combining AHP Method with BOCR Merits to Analyze the Outcomes of Business Electricity Sustainability

Abstract

Over the last three decades, many researchers and decision makers have investigated separately the issues of economic growth, profitability, and quality of life when thinking about business electricity sustainability. The correlations between these paradigms still remain at the stage of discussions, debates, and forecasts as a reaction to the occurred conflicts and disasters. There is a lack of real encryption that demonstrates their interactions. It is useful to materialize the expectations of stakeholders by mathematical modeling and providing answers to specific wants of each society according to its financial resources, its concrete societal objectives, especially to which kind of energy legacy it wants to contribute to future generations. It is imperative that experts assist decision makers, through transparent methods that seek consensus. To this end, the analytic hierarchy process (AHP) method was proposed as it has proven its efficiency in many areas of human activities. The outcomes were analyzed using this method, and the findings were compared and recommendations were made using other multi-criteria decisionmaking (MCDM) methods. As for energy sustainability, it is imperative to move toward renewable energy resources while trying to hold together the benefits, opportunities, costs, and risks (BOCR). We have retained that status quo is not sustainable.

Strategic Renewable Energy Resource Selection Using a Fuzzy Decision-Making Method

“…Authors suggested the use of SIMUS for estimation because it considers quantitative and qualitative assessment at a single time. Medjoudj et al [6] employed a fuzzy model of decision-making procedure for multi-characteristic problems to measure four different renewable energy sources: solar, geothermal, hydropower, and renewable energy. For ranking the four possibilities in their study, the authors employed a fuzzy analytic hierarchy approach and a fuzzy technique to arrange performance by resemblance to an ideal answer.…”

“…As a result, the decision-making process for multi-characteristic problems should be employed to tackle this problem. Some decision-making processes for multicharacteristic problems have been employed in the various literatures for making energy investment decisions, including the Analytic Hierarchy Process (AHP), the Analytic Network Process (ANP), the removal and select transforming actuality and favourite position organisation technique for improvement assessment, multiple objective linear programming, and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) [6,7].…”

Selection of Wind Turbine Systems for the Sultanate of Oman

“…To examine the various choices, they employed a decision-making practise of multi-criteria, the general index of sustainability, which prioritised economic, environmental, social, and technological considerations. According to Medjoudj et al [14], a practical model was developed in order to shed light on the application of multi-criteria approaches in renewable energy planning. They generated a matrix that calculates the numerous decision-making strategies of multi-criteria that are appropriate for renewable energy planning, as well as their efficacy in doing so.…”

Simulation-Based Decision Support System for Energy Efficiency in Buildings Retrofitting

“…AHP has been used to do BOCR analysis with various degrees of effectiveness [19][20][21][22][23]. We employ current breakthroughs in the area in our study, utilizing results from critiques of the usage of AHP and BOCR [24].…”