Development of a model and modification of the hierarchy analysis method for energy efficiency level estimation

Authors

  • Дмитро Валерійович Маргасов Chernihiv National Technological University "Educational and Research Institute of Management and Administration" 4 Belov str., Chernihiv, Ukraine, 14034, Ukraine https://orcid.org/0000-0003-1212-9365
  • Евген Юрійович Сахно Chernihiv National Technological University "Educational and Research Institute of Management and Administration" 4 Belov str., Chernihiv, Ukraine, 14034, Ukraine https://orcid.org/0000-0002-9414-2848
  • Ігор Семенович Скітер Chernihiv National Technological University 95 Shevchenko str., Chernihiv, Ukraine, 14028, Ukraine https://orcid.org/0000-0003-2334-2276

DOI:

https://doi.org/10.15587/1729-4061.2015.51027

Keywords:

information technology, hierarchy analysis method, decision support, energy efficiency

Abstract

The components of the information technology for energy efficiency level estimation of municipal buildings were investigated.

As a result of the research, the following was carried out:

1. Decomposition of the solution of the factors ranking problem in the hierarchy was performed.

2. A multi-layer model for energy efficiency estimation was developed and the factors ranking process was described.

3.  The hierarchy analysis method was modified through:

• forming the consistent pairwise comparison matrices of indicators in the individual factors AF=(aFij);

•  developing a consistent comparison matrix of factors AF=(aFij);

• determining a global criterion based on factor-indicator estimates.

Implementation of the proposed method that allows, despite a fairly large dimension of the array of indicators within a given factor, to conduct correct pairwise comparisons with achieving a specified consistency level (1Y≤10 %) and determine the relative values of indicators {ωi1, ωi2, ........., ωik} that can be trusted is of particular interest and at the same time has a positive impact.

Using the proposed method allows to organize, algorithmize and adjust the procedure of expert assessment of unlike factors and improve the quality of the results obtained to form the decision-making process.

Author Biographies

Дмитро Валерійович Маргасов, Chernihiv National Technological University "Educational and Research Institute of Management and Administration" 4 Belov str., Chernihiv, Ukraine, 14034

Postgraduate student

Department of Quality and Project Management

Евген Юрійович Сахно, Chernihiv National Technological University "Educational and Research Institute of Management and Administration" 4 Belov str., Chernihiv, Ukraine, 14034

Doctor of Technical Sciences, Professor, Head of Department

Department of Quality and Project Management

Ігор Семенович Скітер, Chernihiv National Technological University 95 Shevchenko str., Chernihiv, Ukraine, 14028

PhD on Physical-Mathematic Science, Assistant Professor

Department of Sofware Engineering

References

  1. Bech, U. (2012). The philosophy complex problems of modern management system: ideas and models. Publishing NPU of Dragomanova, 35.
  2. Prakhovnik, A. Solovej, O. Prokopenko, V. et. al. (2001). Energy management. IEE NTU "KPU", 472.
  3. Ratushniak, G. (2006). Project Management in termomodernization of energy saving buildings. Tutorial. VNTU, 86–90.
  4. Biloschytskyy, A. (2007). Development of integrated information tools to ensure the introduction of credit-modular system in the field of training. Eastern-European Journal of Enterprise Technologies, 4/2 (29), 20–28.
  5. Kasimir, V. (2006). Model-oriented management of intelligent manufacturing systems. NAN of Ukraine; Institute of Mathematical Machines and Systems, 18–24.
  6. Lizunov, P. (2010). Information systems management: teach. guidances. KNUCA, 128.
  7. Mihaylenko, V. (2007). Probability Theory, probabilistic processes and mathematical statistics, teach. guidances. European. Univ., 64–67.
  8. Plosky, V. (2007). Study of structural features geometric modeling methods and trends of applied geometry. Kyiv National University of Construction and Architecture, 200–270.
  9. Teslia, U. Introduction to Informatics nature. Condor, 256.
  10. Burkov, V. (1977). Fundamentals mathematic theory of dynamic systems. Moscow: Nauka, 255.
  11. Ken, A., Gosling, J., Holmes, D. (2005). The Java™ Programming Language, Fourth Edition. Addison-Wesley, Boston, 928.
  12. Vavilov, V. (2009). Infrared thermography and thermal kontrol. "Spectrum", 340–400.
  13. Marhasov, D. (2014). Information technology in monitoring the energy efficiency of public buildings. Chernihiv. nat. techn. University Press, 1 (71), 186.
  14. Starodub, V. Criteria for evaluation and planning of transport system of the city. Available at: http://nuwm.edu.ua/metods/asp/vd/v40249.doc
  15. Saaty, T. (1993). Making decisions. The method of analysis of hierarchies. Radio and Communications, 278.
  16. Demuryn, V. (2011). Multi-criteria optimization of making management decisions in the information system of a hotel complex under conditions of uncertainty. NAIRI, 103–107.
  17. Lomakin, V, Lyfyrenko, M. (2013). The algorithm improve the coherence matrix of pairwise comparisons during the expert interviews. Basic Research, 1798–1803.

Published

2015-10-21

How to Cite

Маргасов, Д. В., Сахно, Е. Ю., & Скітер, І. С. (2015). Development of a model and modification of the hierarchy analysis method for energy efficiency level estimation. Eastern-European Journal of Enterprise Technologies, 5(2(77), 26–32. https://doi.org/10.15587/1729-4061.2015.51027