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Simulation Modeling of a Photovoltaic-Green Roof System for Energy Cost Reduction of a Building: Texas Case Study

Author

Listed:
  • Sojung Kim

    (Industrial and Systems Engineering, Dongguk University-Seoul, Seoul 04620, Korea)

  • Burchan Aydin

    (Engineering and Technology, Texas A&M University-Commerce, Commerce, TX 75429, USA)

  • Sumin Kim

    (Department of Environmental Horticulture & Landscape Architecture, College of Life Science & Biotechnology, Dankook University, Cheonan-si 31116, Korea)

Abstract

This study aims at introducing a modeling and simulation approach for a green roof system which can reduce energy cost of a building exposed to high temperatures throughout the summer season. First, to understand thermal impact of a green roof system on a building surface, a field-based study has been conducted in Commerce, Texas, U.S., where the average maximum temperature in summer is 104 °F (40 °C). Two types of analyses were conducted: (1) comparison of temperature between different plant type via Analysis of variance (ANOVA) and (2) polynomial regression analysis to develop thermal impact estimation model based on air temperature and presence of a green roof. In addition, an agent-based simulation (ABS) model was developed via AnyLogic ® University 8.6.0 simulation software, Chicago, IL, U.S., in order to accurately estimate energy cost and benefits of a building with a photovoltaic-green roof system. The proposed approach was applied to estimate energy reduction cost of the Keith D. McFarland Science Building at Texas A&M University, Commerce, Texas (33.2410° N, 95.9104° W). As a result, the proposed approach was able to save $740,325.44 in energy cost of a heating, ventilation, and air conditioning (HAVC) system in the subject building. The proposed approach will contribute to the implementation of a sustainable building and urban agriculture.

Suggested Citation

  • Sojung Kim & Burchan Aydin & Sumin Kim, 2021. "Simulation Modeling of a Photovoltaic-Green Roof System for Energy Cost Reduction of a Building: Texas Case Study," Energies, MDPI, vol. 14(17), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5443-:d:627070
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    References listed on IDEAS

    as
    1. Nurmi, Väinö & Votsis, Athanasios & Perrels, Adriaan & Lehvävirta, Susanna, 2016. "Green Roof Cost-Benefit Analysis: Special Emphasis on Scenic Benefits," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 7(3), pages 488-522, October.
    2. Shafique, Muhammad & Kim, Reeho & Rafiq, Muhammad, 2018. "Green roof benefits, opportunities and challenges – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 757-773.
    3. Chang, Byungik & Starcher, Ken, 2019. "Evaluation of wind and solar energy investments in Texas," Renewable Energy, Elsevier, vol. 132(C), pages 1348-1359.
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    Cited by:

    1. Sojung Kim & Sumin Kim, 2021. "Performance Estimation Modeling via Machine Learning of an Agrophotovoltaic System in South Korea," Energies, MDPI, vol. 14(20), pages 1-13, October.
    2. Sojung Kim & Sumin Kim, 2023. "Economic Feasibility Comparison between Building-Integrated Photovoltaics and Green Systems in Northeast Texas," Energies, MDPI, vol. 16(12), pages 1-14, June.
    3. Ghasan Alfalah & Abobakr Al-Sakkaf & Eslam Mohammed Abdelkader & Tarek Zayed, 2022. "An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
    4. Saranathan Pragati & Radhakrishnan Shanthi Priya & Chandramouli Pradeepa & Ramalingam Senthil, 2023. "Simulation of the Energy Performance of a Building with Green Roofs and Green Walls in a Tropical Climate," Sustainability, MDPI, vol. 15(3), pages 1-17, January.

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