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The future competitiveness of the non-Emissions Trading Scheme district heating systems in the Baltic States

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  • Ziemele, Jelena
  • Pakere, Ieva
  • Blumberga, Dagnija

Abstract

This paper is devoted to the development of the non-Emissions Trading Scheme for the district heating systems. To select indicators characterizing overall operation of the non-Emissions Trading Scheme district heating system, the article analyses various aspects (type of fuel, temperature regime, level of building energy efficiency) that impact the development of a district heating system model, which strives to reach 4th generation district heating system and to reduces greenhouse emission gases. To determine efficiency rating of the district heating system, a multi-criteria model is developed using selected indicators. The most suitable temperature regime of district heating systems is analyzed for a new buildings and exiting dwelling area depending on end-user heat energy consumption. Research methodology includes algorithm with several modules. The multi-criteria analysis evaluates different district heating systems and identifies optimal solution of 12 scenarios taking into account different criteria. The TOPSIS tool is integrated to find the optimal solutions.

Suggested Citation

  • Ziemele, Jelena & Pakere, Ieva & Blumberga, Dagnija, 2016. "The future competitiveness of the non-Emissions Trading Scheme district heating systems in the Baltic States," Applied Energy, Elsevier, vol. 162(C), pages 1579-1585.
    • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:1579-1585
    DOI: 10.1016/j.apenergy.2015.05.043
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    8. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Blanes-Peiró, Jorge-Juan, 2016. "District heating and cogeneration in the EU-28: Current situation, potential and proposed energy strategy for its generalisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 621-639.
    9. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    10. Ieva Pakere & Dace Lauka & Dagnija Blumberga, 2020. "Does the Balance Exist between Cost Efficiency of Different Energy Efficiency Measures? DH Systems Case," Energies, MDPI, vol. 13(19), pages 1-16, October.
    11. Gravelsins, Armands & Pakere, Ieva & Tukulis, Anrijs & Blumberga, Dagnija, 2019. "Solar power in district heating. P2H flexibility concept," Energy, Elsevier, vol. 181(C), pages 1023-1035.
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    15. Gallo, Michela & Del Borghi, Adriana & Strazza, Carlo & Parodi, Lara & Arcioni, Livia & Proietti, Stefania, 2016. "Opportunities and criticisms of voluntary emission reduction projects developed by Public Administrations: Analysis of 143 case studies implemented in Italy," Applied Energy, Elsevier, vol. 179(C), pages 1269-1282.
    16. Wątróbski, Jarosław & Bączkiewicz, Aleksandra & Sałabun, Wojciech, 2022. "New multi-criteria method for evaluation of sustainable RES management," Applied Energy, Elsevier, vol. 324(C).
    17. Møller Sneum, Daniel & Sandberg, Eli & Koduvere, Hardi & Olsen, Ole Jess & Blumberga, Dagnija, 2018. "Policy incentives for flexible district heating in the Baltic countries," Utilities Policy, Elsevier, vol. 51(C), pages 61-72.
    18. Liu, Er-na & Wang, Yanan & Chen, Wei & Chen, Wenjun & Ning, Siyin, 2021. "Evaluating the transformation of China's resource-based cities: An integrated sequential weight and TOPSIS approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    19. Ziemele, Jelena & Talcis, Normunds & Osis, Ugis & Dace, Elina, 2021. "A methodology for selecting a sustainable development strategy for connecting low heat density consumers to a district heating system by cascading of heat carriers," Energy, Elsevier, vol. 230(C).
    20. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    21. Long, Ruyin & Li, Haifeng & Wu, Meifen & Li, Wenbo, 2021. "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, Elsevier, vol. 74(C).

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