Research papers of the week – August 1, 2022

M. Mrówczyńska, M. Skiba, Agnieszka Leśniak, A. Bazan-Krzywoszańska, Filip Janowiec, M. Sztubecka, R. Grech, Jan Kazak

Energy Conversion and Management

Ministerial score = 200.0
Journal Impact Factor (2020) = 11.533 (Q1)

The study introduces a framework for forecasting and decision-making in multi-criteria processes and proposes their application in the decarbonization of urban areas. Optimizing the multi-criteria decision-making process is an integrated set of information-processing-decision activities in which actual data, expert knowledge using fuzzy inference rules, Geographic Information System, and Bayesian networks are combined. Using proposed tools leads to designing a new approach to improving the energy efficiency of cities and reducing CO2 emissions using renewable energy. The integration of modern computational methods leads to rational planning of environmentally friendly and energy-conscious smart cities by the provisions of the Fit for 55 packages. The effectiveness of the proposed approach has been demonstrated in the example of three scenarios considering different types of renewable energy sources that can be implemented in urban areas. The success probability of decarbonizing these areas was calculated for defined quarters of the city of Zielona Góra with different parameters. Thereby the usefulness of the method was confirmed. Significantly, the likelihood of a successful deployment of photovoltaics (PV) in urban areas was estimated at 55.25% and for heat pumps at 28.79%. The proposed method enables a clear interpretation of the results, which may be the basis for urban energy efficiency planning.

DOI:10.1016/j.enconman.2022.116035

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