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Green Energy for a Green City—A Multi-Perspective Model Approach


  • Jarosław Wątróbski

    () (Faculty of Computer Science and Information Systems, West Pomeranian University of Technology, Zolnierska 49, 71-210 Szczecin, Poland)

  • Paweł Ziemba

    () (Department of Technology, The Jacob of Paradyż University of Applied Science, Chopina 52, 66-400 Gorzów Wielkopolski, Poland)

  • Jarosław Jankowski

    () (Department of Computational Intelligence, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland)

  • Magdalena Zioło

    () (Faculty of Management and Economics of Services, University of Szczecin, Cukrowa 8, 71-004 Szczecin, Poland)


The basis for implementing demands for a green city is the use of, among other things, innovative “clean” technologies. However, it is mostly and directly connected to the increased use of electric energy. Green transport is an appropriate example of this. By contrast, conventional sources of energy (e.g., based on coal) have a very negative impact on people and the environment. Therefore, this article mentions an attempt to solve a complex problem of employing renewable energy sources (RES) as an element of the “green city” system. The research was carried out on the basis of a feasibility study (decision game) for the location of a wind farm in the vicinity of the city of Szczecin, Poland. When constructing the decision models, multiple-criteria decision analysis (MCDA) methods were applied, especially analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE).

Suggested Citation

  • Jarosław Wątróbski & Paweł Ziemba & Jarosław Jankowski & Magdalena Zioło, 2016. "Green Energy for a Green City—A Multi-Perspective Model Approach," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-23, July.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:702-:d:74697

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    References listed on IDEAS

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    Cited by:

    1. Hou, Yanliang & Long, Ruyin & Chen, Hong & Zhang, Linling, 2018. "Research on the sustainable development of China’s coal cities based on lock-in effect," Resources Policy, Elsevier, vol. 59(C), pages 479-486.
    2. Omowunmi Mary Longe & Khmaies Ouahada & Suvendi Rimer & Ashot N. Harutyunyan & Hendrik C. Ferreira, 2017. "Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling," Sustainability, MDPI, Open Access Journal, vol. 9(1), pages 1-13, January.
    3. Paweł Ziemba, 2019. "Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management," Energies, MDPI, Open Access Journal, vol. 12(4), pages 1-29, February.
    4. Wojciech Sałabun & Krzysztof Palczewski & Jarosław Wątróbski, 2019. "Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study," Sustainability, MDPI, Open Access Journal, vol. 11(12), pages 1-19, June.

    More about this item


    renewable energy sources; RES; multiple-criteria decision analysis; MCDA;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products


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