Overview of multi-attribute decision analysis tools for selecting an investment option in municipal heat energy

Authors

DOI:

https://doi.org/10.7494/dmms.2023.17.6026

Abstract

Municipal district heating systems in Polish cities constitute important elements of these municipalities (and not only of their technical infrastructures). Due to the nature of the basic service that is provided – providing heat (and perhaps year-round comfort in the future) – these systems can be perceived as important parts of the social infrastructures of the cities, creating the appropriate conditions for the existence of people, the functioning of social infrastructure facilities, and the operations of enterprises. The need for heating companies to adapt to any changes in the requirements that arise as a result of the economic, social, environmental, and (increasingly) political and legal changes that take place in its immediate and distant environment requires the implementation of investments. However, the effects of such investments are multidimensional and largely difficult to measure; they depend on the passage of time and complex conditions that are related to the pursuit of sustainable
development and security. Their reliable assessment therefore requires the use of appropriate tools. This paper is devoted to an analysis of the practical usefulness of multi-attribute decision-analysis tools in this context, taking various types of such tools into account as well as the conditions for their effective applications. The most promising of these tools is also introduced and discussed. 

References

Abokersh, M.H., S. Gangwar, M. Spiekman, M. Vallès, L. Jiménez, and D. Boer (2021). “Sustainability insights on emerging solar district heating technologies to boost the nearly zero energy building concept”. Renewable Energy 180, pp. 893–913.

Arslan, A.E., O. Arslan, and S.Y. Kandemir (2021). “AHP–TOPSIS hybrid decision-making analysis: Simav integrated system case study”. Journal of Thermal Analysis and Calorimetry 145.3, pp. 1191–1202.

Ashikhmin, I. and E. Furems (2005). “UniComBOS—Intelligent Decision Support System for multi-criteria comparison and choice”. Journal of Multi-Criteria Decision Analysis 13.2-3, pp. 147–157.

Balode, L., K. Dolge, and D. Blumberga (2021). “The Contradictions between District and Individual Heating towards Green Deal Targets”. Sustainability 13.6. Art. no. 3370.

Bana E Costa, C.A. and J.-C. Vansnick (1994). “MACBETH – An Interactive Path Towards the Construction of Cardinal Value Functions”. International Transactions in Operational Research 1.4, pp. 489–500.

Bazil, G.D., S.K. Adilova, L.K. Abzhanova, L.A. Sugurova, and M.E. Yerzhanova (2021). “Fuzzy simulation of organizational adjustment processes management based on heat supply balanced scorecard”. Innovative Infrastructure Solutions 6.2. Art. no. 77.

Bilić, T., S. Raos, P. Ilak, I. Rajšl, and R. Pašičko (2020). “Assessment of Geothermal Fields in the South Pannonian Basin System Using a Multi-Criteria Decision-Making Tool”. Energies 13.5. Art. no. 1026.

Boran, F.E. (2013). “A Multidimensional Analysis to Evaluate District Heating Systems”. Energy Sources, Part B: Economics, Planning, and Policy 8.2, pp. 122–129.

Brans, J.-P. and Y. De Smet (2016). “PROMETHEE Methods”. In: Multiple Criteria Decision Analysis: State of the Art Surveys. Ed. by S. Greco, M. Ehrgott, and J. Figueira. New York: Springer, pp. 187–219.

Cimdina, G., D. Slisane, J. Ziemele, V. Vitolins, G. Vigants, and D. Blumberga (2014). “Sustainable Development of Renewable Energy resources. Biomass cogeneration plant”. In: Selected papers, 9th International Conference on Environmental Engineering, ICEE 2014. Art. no. enviro.2014.256. Vilnius: VGTU Press.

Dytczak, M. and G. Ginda (2006). “Benefits and costs in selecting fuel for municipality heating systems with the analytic hierarchy process”. Journal of Systems Science and Systems Engineering 15.2, pp. 165–177.

Eltez, A., I.B. Kilkis, and M. Eltez (1999). “An AHP approach for evaluating geothermal district energy systems”. ASHRAE Transactions 105. Art. no. 771.

Fang, F. and N. Wang (2014). “Optimal Hierarchical Decision-Making for Heat Source Selection of District Heating Systems”. Mathematical Problems in Engineering 2014. Art. no. 594862.

Figueira, J., V. Mousseau, and B. Roy (2016). “ELECTRE Methods”. In: Multiple Criteria Decision Analysis: State of the Art Surveys. Ed. by S. Greco, M. Ehrgott, and J. Figueira. New York: Springer, pp. 155–185.

Geri, F., S. Sacchelli, I. Bernetti, and M. Ciolli (2018). “Urban-Rural Bioenergy Planning as a Strategy for the Sustainable Development of Inner Areas: A GIS-Based Method to Chance the Forest Chain”. In: Smart and Sustainable Planning for Cities and Regions. Ed. by A. Bisello, D. Vettorato, P. Laconte, and S. Costa. Cham: Springer International Publishing, pp. 539–550.

Ghafghazi, S., T. Sowlati, S. Sokhansanj, and Melin S. (2010). “A multicriteria approach to evaluate district heating system options”. Applied Energy 87.4, pp. 1134–1140.

Goodwyn, P. and G. Wright (2014). Decision Analysis for Management Judgement. Wiley.

Greco, S., J. Figueira, and M. Ehrgott, eds. (2016). Multiple Criteria Decision Analysis. State of the Art Surveys. New York: Springer.

Greco, S., B. Matarazzo, and R. Slowinski (2002). “Rough approximation by dominance relations”. International Journal of Intelligent Systems 17.2, pp. 153–171.

Grujić, M., D. Ivezić, and M. Živković (2014). “Application of multi-criteria decision-making model for choice of the optimal solution for meeting heat demand in the centralized supply system in Belgrade”. Energy 67, pp. 341–350.

He, L., Z. Lu, L. Pan, H. Zhao, X. Li, and J. Zhang (2019). “Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System”. Energies 12.4. Art. no. 604.

Hwang, C.L. and K. Yoon (1981). Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. New York: Springer-Verlag.

Ishizaka, A. and Ph. Nemery (2013). Multi-Criteria Decision Analysis. Methods and Software. Wiley.

Keeney, R.L. and H. Raiffa (1976). Decisions with multiple objectives: Preferences and value tradeoffs. Cambridge University Press.

Kirppu, H., R. Lahdelma, and P. Salminen (2018). “Multicriteria evaluation of carbon-neutral heat-only production technologies for district heating”. Applied Thermal Engineering 130, pp. 466–476.

Konarzewska-Gubała, E. (2009). Bipolar: Multiple Criteria Decision Aid Using Bipolar Reference System. Vol. 56. LAMSADE, Cashier et Documents. Paris.

Kontu, K., S. Rinne, V. Olkkonen, R. Lahdelma, and P. Salminen (2015). “Multicriteria evaluation of heating choices for a new sustainable residential area”. Energy and Buildings 93, pp. 169–179.

Laktuka, K., I. Pakere, D. Lauka, D. Blumberga, and A. Volkova (2021). “Long-Term Policy Recommendations for Improving the Efficiency of Heating and Cooling”. Environmental and Climate Technologies 25.1, pp. 382–391.

Landelma, R. and P. Salminen (2010). “Stochastic Multicriteria Acceptability Analysis (SMAA)”. In: Trends in Multiple Criteria Decision Analysis. Ed. by M. Ehrgott, J.R. Figueira, and S. Greco. International Series in Operations Research & Management Science. Springer, pp. 285–315.

Larichev, O.I. and H.M. Moshkovich (1997). Verbal Decision Analysis for Unstructured Problems. Kluwer Academic Press: Kluwer Academic Press.

Lee, D.K., S.Y. Park, and S.U. Park (2007). “Development of assessment model for demand-side management investment programs in Korea”. Energy Policy 35.11, pp. 5585–5590.

Lootsma, F.A. (1992). The REMBRANDT system for multi-criteria decision analysis via pairwise comparisons or direct rating. Report 92-05. Faculteit der Technische Wiskunde en Informatica, Delft University of Technology, Delft, The Netherlands.

Mróz, T.M. (2008). “Planning of community heating systems modernization and development”. Applied Thermal Engineering 28.14, pp. 1844–1852.

Nowak, M. (1992). Interaktywne wielokryterialne wspomaganie decyzji w warunkach ryzyka. Metody i zastosowania. Katowice: Wydawnictwo Akademii Ekonomicznej w Katowicach.

Opricović, S. (1990). Programski paket VIKOR za visekriterijumsko kompromisno rangiranje. SYM-OP-IS.

Pellegrini, M., A. Bianchini, A. Guzzini, and C. Saccani (2019). “Classification through analytic hierarchy process of the barriers in the revamping of traditional district heating networks into low temperature district heating: an Italian case study”. International Journal of Sustainable Energy Planning and Management 20, pp. 51–66.

Pinto, Giuseppe, Elnaz Abdollahi, Alfonso Capozzoli, Laura Savoldi, and Risto Lahdelma (2019). “Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating”. Energies 12.9. Art. no. 1653.

Polikarpova, I., D. Lauka, D. Blumberga, and E. Vigants (2019). “Multi-Criteria Analysis to Select Renewable Energy Solution for District Heating System”. Environmental and Climate Technologies 23.3, pp. 101–109.

Prodanuks, T. and D. Blumberga (2018). “Methodology of municipal energy plans. Priorities for sustainability”. Energy Procedia 147, pp. 594–599.

Roy, B. (2016). “Paradigms and Challenges”. In: Multiple Criteria Decision Analysis: State of the Art Surveys. Ed. by S. Greco, M. Ehrgott, and J. Figueira. New York: Springer, pp. 19–39.

Saaty, T.L. (2012). Models, Methods, Concepts and Applications of the Analytic Hierarchy Process. New York: Springer.

Saaty, T.L. and L. Vargas (2011). Decision Making with the Analytic Network Process. New York: Springer.

Shu, H., L. Duanmu, C. Zhang, and Y. Zhu (2010). “Study on the decision-making of district cooling and heating systems by means of value engineering”. Renewable Energy 35.9, pp. 1929–1939.

Siksnelyte-Butkiene, I. and D. Streimikiene (2023). Sustainable energy development: A multi-criteria decision making approach. Boca Raton, FL: CRC Press.

Skiba, M., M. Mrówczyńska, M. Sztubecka, A. Bazan-Krzywoszańska, J.K. Kazak, A. Leśniak, and F. Janowiec (2021). “Probability estimation of the city’s energy efficiency improvement as a result of using the phase change materials in heating networks”. Energy 228. Art. no. 120549.

Streimikiene, D. and L. Balezentiene (2014). “Comparative assessment of heat generation technologies in district heat sector of Lithuania”. Transformations in Business & Economics 13.2, pp. 161–173.

Trzaskalik, T. (2014). “Wielokryterialne wspomaganie decyzji, przegląd metod i zastosowań”. Zeszyty Naukowe/Politechnika Śląska 74, pp. 239–263.

Ustawa z dnia 10 kwietnia 1997 r. Prawo energetyczne (1997). Dziennik Ustaw RP. nr 54, poz. 48 z późn. zm.

Walsh, Ph.R. (2005). “Dealing with the uncertainties of environmental change by adding scenario planning to the strategy reformulation equation”. Management Decision 43.1, pp. 113–122.

Wang, H., L. Duanmu, R. Lahdelma, and X. Li (2017). “Developing a multicriteria decision support framework for CHP based combined district heating systems”. Applied Energy 205.C, pp. 345–368.

Wang, H., R. Lahdelma, and P. Salminen (2018). “Stochastic multicriteria evaluation of district heating systems considering the uncertainties”. Science and Technology for the Built Environment 24.8, pp. 830–838.

Wang, N., X. Chen, and G. Wu (2019). “Public Private Partnerships, a Value for Money Solution for Clean Coal District Heating Operations”. Sustainability 11.8. Art. no. 2386.

Wen, Qianyun, Qiyao Yan, Junjie Qu, and Yang Liu (2021). “Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households”. Mathematics 9.19. Art. no. 2420.

Wu, Z., L. Sha, and Zhang Y. (2022). “Simulation and experiment investigation of a heating and power double function system with multi-objective optimization”. Sustainable Energy Technologies and Assessments 49. Art. no. 101768.

Wu, Z., Y. Wang, S. You, H. Zhang, X. Zheng, J. Guo, and S. Wei (2020). “Thermo-economic analysis of composite district heating substation with absorption heat pump”. Applied Thermal Engineering 166. Art. no. 114659.

Wu, Z., S. You, H. Zhang, Y. Wang, Y. Jiang, Z. Liu, L. Sha, and S. Wei (2021). “Experimental investigations and multi-objective optimization of an air-source absorption heat pump for residential district heating”. Energy Conversion and Management 240. Art. no. 114267.

Yuan, M., J.Z. Thellufsen, P. Sorknæs, H. Lund, and Y. Liang (2021). “District heating in 100% renewable energy systems: Combining industrial excess heat and heat pumps”. Energy Conversion and Management 244. Art. no. 114527.

Zhao, J., Y. Li, J. Li, and Z. Li (2021). “Operation Characteristic Analysis and Parameter Optimization of District Heating Network with Double Heat Sources”. In: The 2020 International Symposium on Geographic Information, Energy and Environmental Sustainable Development 26-27 December 2020, Tianjin, China. Vol. 772. IOP Conference Series: Earth and Environmental Science 1. Art. no. 012077.

Ziemele, J., I. Pakere, and D. Blumberga (2016). “The future competitiveness of the non-Emissions Trading Scheme district heating systems in the Baltic States”. Applied Energy 162.C, pp. 1579–1585.

Ziemele, J., I. Pakere, N. Talcis, and D. Blumberga (2014). “Multi-criteria Analysis of District Heating Systems in Baltic States”. Energy Procedia 61, pp. 2172–2175.

Ziemele, J., G. Vigants, V. Vitolins, D. Blumberga, and I. Veidenbergs (2014). “District Heating Systems Performance Analyses. Heat Energy Tariff”. Environmental and Climate Technologies 13.1, pp. 32–43.

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Published

2024-07-19

How to Cite

Dawiec, D., & Ginda, G. (2024). Overview of multi-attribute decision analysis tools for selecting an investment option in municipal heat energy. Decision Making in Manufacturing and Services, 17, 5–19. https://doi.org/10.7494/dmms.2023.17.6026

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Articles
Received 2023-12-30
Accepted 2024-02-24
Published 2024-07-19