Energy indicators impact in multi-criteria sustainability analyse of thermal power plant unit

Abstract

This paper presents method for sustainability assessment of thermal power plant unit using multi-criteria analysis with aim to create base for business decision. Seven options of possible status of thermal power plant "Kolubara A" unit No. 2 with energy indicators of sustainable development were shown. Energy indicators of sustainable development consists of sets of resource preservation, economic, environmental, and social indicators. Sustainability assessment often fails to account for social influence on energy system. Considering to this, special focus will be on social indicators, their definition, forming, and impact on multi--criteria sustainability analysis. Analysis of quality of the selected options (energy systems) in respect to sustainable development by compare of their general index of sustainability is presented. Methodology of multi-criteria analyse of thermal power plant unit can show decision makers how to find best available options when the social indicators impact is leading. The aim of this paper is to choose the criteria for the evaluation of the available options, determine the relative importance of specific criteria and present methodology of multi-criteria analysis in the decision-making process.

Optimization of energy mix and possibilities of its application in energy transition using multicriteria approach

“…There is a large number of researches and papers in which MCDM methods were used in the optimization of energy supply system of a country [1], [2], [3], [4], [5], [6], [27], or region [7], [29], but there are very few that deal with the energy mix optimization of a local community [8]. MCDM method is also used in sustainability assessment of the existing energy plants or as a tool for the evaluation of new energy system, in order to show decision makers how to find the best available options depending on the criteria which are selected as leading [9], [10]. Some authors have used ready-made computer simulation mathematical models (EneryPro, EnergyPlan, HOMER i dr.), in order to obtain an optimized energy system of a country/region/city, [11], [12], [13], [23].…”

“…This means that it is possible to evaluate considered options by using ASPID in situations when there are uncomplete, vague or interval (incorrect) information with different levels of reliability. The procedure is based on the fuzzy set synthesis technique, which is a mathematical system to support decision-making processes [10], [2]. Beside of AHP and EWM (Entropy) method used in this work, for successful identification and analysis of the influencing factors on some specific energy resource, MCDM can be combined with SWOT.…”