Application of the method of data reconciliation for minimizing uncertainty of the weight function in the multicriteria optimization model

• Autorzy: Mendecka B. , Kozioł J.

Identyfikatory

DOI

10.1515/aoter-2015-0006

• Języki publikacji: EN

Abstrakty

EN

The multicriteria decision process consists of five main steps: definition of the optimisation problem, determination of the weight structure of the decision criteria, design of the evaluation matrix, selection of the optimal evaluation method and ranking of solutions. It is often difficult to obtain the optimal solution to a multicriterion problem. The main reason is the subjective element of the model – the weight functions of the decision criteria. Expert opinions are usually taken into account in their determination. The aim of this article is to present a novel method of minimizing the uncertainty of the weights of the decision criteria using Monte Carlo simulation and method of data reconciliation. The proposed method is illustrated by the example of multicriterion social effectiveness evaluation for electric power supply to a building using renewable energy sources.

Słowa kluczowe

EN

multicriteria optimization; weight uncertainty; photovoltaics

PL

optymalizacja wielokryterialna; fotowoltaika

• Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN ; Komitet Termodynamiki i Spalania PAN
• Czasopismo: Archives of Thermodynamics
• Rocznik: 2015
• Tom: Vol. 36, no. 1
• Strony: 83--92
• Opis fizyczny: Bibliogr. 10 poz., tab., wz.

Twórcy

autor

Mendecka B.

• Silesian University of Technology, Institute of Thermal Technology, Konarskiego 22, 44-100 Gliwice, Poland

autor

Kozioł J.

• Silesian University of Technology, Institute of Thermal Technology, Konarskiego 22, 44-100 Gliwice, Poland

Bibliografia

• [1] Piech H.: Multicriteria optimisation on the basis of uncertain knowledge. Częstochowa University Publishers, 2007 (in Polish).
• [2] Szargut J.: Thermodynamic and economic analysis in industrial power engineering. WNT, 1983 (in Polish).
• [3] Liu B.: Theory and Practice of Uncertain Programming. Springer Science & Business Media, 2009.
• [4] Kozioł J.: Effectiveness assessment method of fuel substitution in applied processes. Arch. Energ. 4(1981), 1, 241–249 (in Polish).
• [5] B. Mendecka, Kozioł J.: Evaluation of economic, energy-environmental and societal effects of non-renewable energy substitution with renewable energy sources. Proc. SDEWES Conf., 2013.
• [6] Mendecka B.: Substitution of energy in a building: Multi-criteria optimization model based on uncertain data. In: Proc. SDEWES Conf., 2014.
• [7] Thomopoulos N.T.: Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models, 2013 Edn. Springer, New York 2012.
• [8] Szargut J.: Compensation calculus in heat technology. Ossolineum, 1984 (in Polish).
• [9] Energy Consumption in Households in 2009. GUS, Warsaw 2012.
• [10] SimaPro. Database Manual. Methods library. 2008.

Uwagi

EN

The work was supported by Ministry of Science and Higher Education within statutory research funding scheme.