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Probability estimation of the city’s energy efficiency improvement as a result of using the phase change materials in heating networks

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  • Skiba, Marta
  • Mrówczyńska, Maria
  • Sztubecka, Małgorzata
  • Bazan-Krzywoszańska, Anna
  • Kazak, Jan K.
  • Leśniak, Agnieszka
  • Janowiec, Filip

Abstract

One of the problems in cities is improving energy efficiency. Energy consumption and the efficient use of district heating networks affect the environment, society, and economy. Modern materials to increase buildings’ energy efficiency become necessary. The use of phase change materials (PCM) is a current issue and many researchers’ interest. PCM reduces energy consumption in buildings due to their ability to absorb and release energy. PCM use seems to be highly justified as regards energy efficiency policy-making considering the city’s investment scale. Therefore, research was undertaken on the possibility of reducing energy consumption in the city by using PCM in municipal heating networks, as those for which planning can be carried out systemically. The research’s original element is integrating geographic systems with artificial intelligence and statistical methods to estimation the probability of improving buildings’ energy efficiency in urban areas based on an identified set of criteria of an interdisciplinary type. The proposed innovative approach was used to analyze the medium-sized city located in Eastern Europe. The results showed that buildings could be classified according to the probability of energy improvement at the limit of 30%. Suggestions were made for adapting the proposed method to more general cases.

Suggested Citation

  • Skiba, Marta & Mrówczyńska, Maria & Sztubecka, Małgorzata & Bazan-Krzywoszańska, Anna & Kazak, Jan K. & Leśniak, Agnieszka & Janowiec, Filip, 2021. "Probability estimation of the city’s energy efficiency improvement as a result of using the phase change materials in heating networks," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221007982
    DOI: 10.1016/j.energy.2021.120549
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