IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2211-d1046170.html
   My bibliography  Save this article

Combining CAD Modeling and Simulation of Energy Performance Data for the Retrofit of Public Buildings

Author

Listed:
  • Konstantinos Sofias

    (Department of Mechanical Engineering, University of West Attica, 12241 Athens, Greece)

  • Zoe Kanetaki

    (Department of Mechanical Engineering, University of West Attica, 12241 Athens, Greece)

  • Constantinos Stergiou

    (Department of Mechanical Engineering, University of West Attica, 12241 Athens, Greece)

  • Sébastien Jacques

    (University of Tours, CEDEX 1, 37020 Tours, France)

Abstract

The retrofit of the most energy-intensive buildings represents an opportunity to improve their energy efficiency or to reduce their energy demand. This paper proposes combining computer-aided design (CAD) modeling and the use of energy efficiency software to build a methodology for calculating, visualizing and analyzing building parameters in order to provide retrofit scenarios. Five retrofit scenarios were implemented using the energy software, including the initial operating cost, capital cost and payback period to be evaluated. At the same time, a three-dimensional CAD model was created to perform daylighting and shading simulations to visualize and design the role of building orientation under actual use conditions. These retrofit scenarios were evaluated individually and then combined to examine their performance in terms of cost-effectiveness and energy efficiency. The simulation results show the importance of the building’s orientation, as this directly affects the thermal properties of the walls and openings, as well as the daylighting areas. The simulation results were also used to define the parameters that affect the interoperability of the retrofit solutions. Finally, in addition to the significant reduction in calculation time, the coupling of the CAD software with the energy efficiency software allowed access to information that was not available at the outset.

Suggested Citation

  • Konstantinos Sofias & Zoe Kanetaki & Constantinos Stergiou & Sébastien Jacques, 2023. "Combining CAD Modeling and Simulation of Energy Performance Data for the Retrofit of Public Buildings," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2211-:d:1046170
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2211/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/3/2211/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miguel Macias Sequeira & João Pedro Gouveia, 2022. "A Sequential Multi-Staged Approach for Developing Digital One-Stop Shops to Support Energy Renovations of Residential Buildings," Energies, MDPI, vol. 15(15), pages 1-27, July.
    2. Elham Maghsoudi Nia & Queena K. Qian & Henk J. Visscher, 2022. "Analysis of Occupant Behaviours in Energy Efficiency Retrofitting Projects," Land, MDPI, vol. 11(11), pages 1-20, October.
    3. Vanhoutteghem, Lies & Svendsen, Svend, 2014. "Modern insulation requirements change the rules of architectural design in low-energy homes," Renewable Energy, Elsevier, vol. 72(C), pages 301-310.
    4. David Vérez & Emiliano Borri & Luisa F. Cabeza, 2022. "Trends in Research on Energy Efficiency in Appliances and Correlations with Energy Policies," Energies, MDPI, vol. 15(9), pages 1-17, April.
    5. Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
    6. Alkistis E. Kanteraki & Grigorios L. Kyriakopoulos & Miltiadis Zamparas & Vasilis C. Kapsalis & Sofoklis S. Makridis & Giouli Mihalakakou, 2020. "Investigating Thermal Performance of Residential Buildings in Marmari Region, South Evia, Greece," Challenges, MDPI, vol. 11(1), pages 1-22, February.
    7. Seyedzadeh, Saleh & Pour Rahimian, Farzad & Oliver, Stephen & Rodriguez, Sergio & Glesk, Ivan, 2020. "Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making," Applied Energy, Elsevier, vol. 279(C).
    8. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    9. Gireesh Nair & Leo Verde & Thomas Olofsson, 2022. "A Review on Technical Challenges and Possibilities on Energy Efficient Retrofit Measures in Heritage Buildings," Energies, MDPI, vol. 15(20), pages 1-20, October.
    10. Mehrdad Rabani & Habtamu Bayera Madessa & Natasa Nord, 2021. "Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs," Energies, MDPI, vol. 14(8), pages 1-23, April.
    11. Nassipkul Dyussembekova & Nazym Temirgaliyeva & Dias Umyshev & Madina Shavdinova & Reiner Schuett & Damesh Bektalieva, 2022. "Assessment of Energy Efficiency Measures’ Impact on Energy Performance in the Educational Building of Kazakh-German University in Almaty," Sustainability, MDPI, vol. 14(16), pages 1-25, August.
    12. Aitana Sáez-de-Guinoa & David Zambrana-Vasquez & Víctor Fernández & Carmen Bartolomé, 2022. "Circular Economy in the European Construction Sector: A Review of Strategies for Implementation in Building Renovation," Energies, MDPI, vol. 15(13), pages 1-27, June.
    13. Sébastien Bissey & Sébastien Jacques & Jean-Charles Le Bunetel, 2017. "The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing," Energies, MDPI, vol. 10(11), pages 1-24, October.
    14. Li, X. & Arbabi, H. & Bennett, G. & Oreszczyn, T. & Densley Tingley, D., 2022. "Net zero by 2050: Investigating carbon-budget compliant retrofit measures for the English housing stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    15. Li, Qing & Zhang, Lianying & Zhang, Limao & Wu, Xianguo, 2021. "Optimizing energy efficiency and thermal comfort in building green retrofit," Energy, Elsevier, vol. 237(C).
    16. Saeed Solaymani, 2021. "A Review on Energy and Renewable Energy Policies in Iran," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    2. Domenico Curto & Vincenzo Franzitta & Andrea Guercio & Domenico Panno, 2021. "Energy Retrofit. A Case Study—Santi Romano Dormitory on the Palermo University," Sustainability, MDPI, vol. 13(24), pages 1-13, December.
    3. Kotarela, Faidra & Kyritsis, Anastasios & Agathokleous, Rafaela & Papanikolaou, Nick, 2023. "On the exploitation of dynamic simulations for the design of buildings energy systems," Energy, Elsevier, vol. 271(C).
    4. Karanafti, Aikaterina & Theodosiou, Theodoros & Tsikaloudaki, Katerina, 2022. "Assessment of buildings’ dynamic thermal insulation technologies-A review," Applied Energy, Elsevier, vol. 326(C).
    5. Soltani, Shiva & Mosavi, Seyed Habibollah & Saghaian, Sayed H. & Azhdari, Somayeh & Alamdarlo, Hamed N. & Khalilian, Sadegh, 2023. "Climate change and energy use efficiency in arid and semiarid agricultural areas: A case study of Hamadan-Bahar plain in Iran," Energy, Elsevier, vol. 268(C).
    6. Li, Guanzheng & Li, Bin & Li, Chao & Wang, Shuai, 2023. "State-of-health rapid estimation for lithium-ion battery based on an interpretable stacking ensemble model with short-term voltage profiles," Energy, Elsevier, vol. 263(PE).
    7. Mahmoudan, Alireza & Samadof, Parviz & Hosseinzadeh, Siamak & Garcia, Davide Astiaso, 2021. "A multigeneration cascade system using ground-source energy with cold recovery: 3E analyses and multi-objective optimization," Energy, Elsevier, vol. 233(C).
    8. Rodrigues, Eugénio & Fernandes, Marco S. & Gaspar, Adélio Rodrigues & Gomes, Álvaro & Costa, José J., 2019. "Thermal transmittance effect on energy consumption of Mediterranean buildings with different thermal mass," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    9. Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    10. Tatsuhiro Yamamoto & Akihito Ozaki & Myonghyang Lee, 2021. "Optimal Air Conditioner Placement Using a Simple Thermal Environment Analysis Method for Continuous Large Spaces with Predominant Advection," Energies, MDPI, vol. 14(15), pages 1-24, July.
    11. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
    12. George M. Stavrakakis & Dimitris Al. Katsaprakakis & Markos Damasiotis, 2021. "Basic Principles, Most Common Computational Tools, and Capabilities for Building Energy and Urban Microclimate Simulations," Energies, MDPI, vol. 14(20), pages 1-41, October.
    13. Abir Khechiba & Djamila Djaghrouri & Moussadek Benabbas & Francesco Leccese & Michele Rocca & Giacomo Salvadori, 2023. "Balancing Thermal Comfort and Energy Consumption in Residential Buildings of Desert Areas: Impact of Passive Strategies," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    14. Fatih Issi & Orhan Kaplan, 2018. "The Determination of Load Profiles and Power Consumptions of Home Appliances," Energies, MDPI, vol. 11(3), pages 1-18, March.
    15. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
    16. Rodrigues, Eugénio & Fernandes, Marco S. & Gomes, Álvaro & Gaspar, Adélio Rodrigues & Costa, José J., 2019. "Performance-based design of multi-story buildings for a sustainable urban environment: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    17. Tsao, Yu-Chung & Vu, Thuy-Linh, 2019. "Power supply chain network design problem for smart grid considering differential pricing and buy-back policies," Energy Economics, Elsevier, vol. 81(C), pages 493-502.
    18. Pedro Paulo Fernandes da Silva & Alberto Hernandez Neto & Ildo Luis Sauer, 2021. "Evaluation of Model Calibration Method for Simulation Performance of a Public Hospital in Brazil," Energies, MDPI, vol. 14(13), pages 1-20, June.
    19. Lee, Minjung & Ham, Jeonggyun & Lee, Jeong-Won & Cho, Honghyun, 2023. "Analysis of thermal comfort, energy consumption, and CO2 reduction of indoor space according to the type of local heating under winter rest conditions," Energy, Elsevier, vol. 268(C).
    20. Mari-Isabella Stan, 2022. "An Analysis of the Municipal Waste Management of Romania and Bulgaria in the European Context," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 166-174, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2211-:d:1046170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.