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Increasing Energy Efficiency of Buildings in Serbia—A Case of an Urban Neighborhood

Author

Listed:
  • Luka Djordjević

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

  • Jasmina Pekez

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

  • Borivoj Novaković

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

  • Mihalj Bakator

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

  • Mića Djurdjev

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

  • Dragan Ćoćkalo

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

  • Saša Jovanović

    (Technical Faculty “Mihajlo Pupin”, University of Novi Sad, 23101 Zrenjanin, Serbia)

Abstract

Energy efficiency, sustainability, and renewable energy sources are becoming increasingly relevant topics in today’s world. Buildings are one of the largest consumers of energy in society, and as such, improving their energy efficiency by reducing unnecessary energy loss and utilizing solar power is crucial. This paper comprehensively analyzes a neighborhood with buildings characteristic of the researched area by applying empirical and theoretical methods and calculations that have been proven in numerous individual cases. The main contribution of this paper is its demonstration that implementing methods to increase the energy efficiency of buildings and utilizing the potential of solar power can result in significant savings in energy consumption, increase the energy sustainability of the analyzed buildings, and substantially reduce the negative environmental impact. The novelty of this study lies in the location and multiple software applications for data analysis. The data and conclusions obtained in this paper serve as a foundation and path towards sustainable development in the field of energy efficiency for buildings in this and similar areas. Heat loss was calculated by analyzing households in the urban neighborhood of Nova Kolonija. All analyzed houses exceeded the maximum allowed annual required energy for household heating (75 kWh/m 2 ). After the reconstruction and implementation of the proposed measures to increase energy efficiency, all houses met the requirements and entered a higher energy class, C. Energy for heating was reduced from 9294.68 kWh/a to 4641.84 kWh/a, representing a reduction of 50.03%. Simulations were conducted regarding solar rooftop power plant installation of 5655 Wp capacity. Software that was used included: a Photovoltaic Geographical Information System (PVGIS), Photovoltaic System software (PVsyst 7.3.), and Photovoltaic Design and Simulation software (PV*SOL). The results of the analysis indicated that the average amount of electricity produced is 6186.98 kWh, which meets 98.12% of households’ annual electricity consumption of 6278.41 kWh. The paper contributes to the existing body of literature and provides significant insight for both practical implications and future studies.

Suggested Citation

  • Luka Djordjević & Jasmina Pekez & Borivoj Novaković & Mihalj Bakator & Mića Djurdjev & Dragan Ćoćkalo & Saša Jovanović, 2023. "Increasing Energy Efficiency of Buildings in Serbia—A Case of an Urban Neighborhood," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6300-:d:1117416
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    References listed on IDEAS

    as
    1. Danijela Nikolic & Slobodan Djordjevic & Jasmina Skerlic & Jasna Radulovic, 2020. "Energy Analyses of Serbian Buildings with Horizontal Overhangs: A Case Study," Energies, MDPI, vol. 13(17), pages 1-20, September.
    2. Budimir Sudimac & Aleksandra Ugrinović & Mišo Jurčević, 2020. "The Application of Photovoltaic Systems in Sacred Buildings for the Purpose of Electric Power Production: The Case Study of the Cathedral of St. Michael the Archangel in Belgrade," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    3. Jalil Heidary Dahooie & Ali Husseinzadeh Kashan & Zahra Shoaei Naeini & Amir Salar Vanaki & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2022. "A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran," Energies, MDPI, vol. 15(8), pages 1-20, April.
    4. Kelachukwu J. Iheanetu, 2022. "Solar Photovoltaic Power Forecasting: A Review," Sustainability, MDPI, vol. 14(24), pages 1-31, December.
    5. Pan, Yue & Zhang, Limao, 2020. "Data-driven estimation of building energy consumption with multi-source heterogeneous data," Applied Energy, Elsevier, vol. 268(C).
    6. Stevanović, Sanja, 2016. "Parametric study of a cost-optimal, energy efficient office building in Serbia," Energy, Elsevier, vol. 117(P2), pages 492-505.
    7. Huang, Zhaojian & Mendis, Thushini & Xu, Shen, 2019. "Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 250(C), pages 283-291.
    8. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    9. Nosipho Zwane & Henerica Tazvinga & Christina Botai & Miriam Murambadoro & Joel Botai & Jaco de Wit & Brighton Mabasa & Siphamandla Daniel & Tafadzwanashe Mabhaudhi, 2022. "A Bibliometric Analysis of Solar Energy Forecasting Studies in Africa," Energies, MDPI, vol. 15(15), pages 1-23, July.
    10. Elham Fakhraian & Marc Alier & Francesc Valls Dalmau & Alireza Nameni & Maria José Casañ Guerrero, 2021. "The Urban Rooftop Photovoltaic Potential Determination," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    11. Doljak, Dejan & Stanojević, Gorica, 2017. "Evaluation of natural conditions for site selection of ground-mounted photovoltaic power plants in Serbia," Energy, Elsevier, vol. 127(C), pages 291-300.
    12. Zwane, N. & Tazvinga, H. & Botai, C. & Murambadoro, M. & Botai, J. & de Wit, J. & Mabasa, B. & Daniel, S. & Mabhaudhi, Tafadzwanashe, 2022. "A bibliometric analysis of solar energy forecasting studies in Africa," Papers published in Journals (Open Access), International Water Management Institute, pages 1-15(15):55.
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    1. Dalibor Dobrilovic & Jasmina Pekez & Eleonora Desnica & Ljiljana Radovanovic & Ivan Palinkas & Milica Mazalica & Luka Djordjević & Sinisa Mihajlovic, 2023. "Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT," Sustainability, MDPI, vol. 15(9), pages 1-22, April.

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