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Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Author

Listed:
  • Joanna Ferdyn-Grygierek

    (Faculty of Energy and Environmental Engineering, The Silesian University of Technology, Konarskiego 18, 44-100 Gliwice, Poland)

  • Krzysztof Grygierek

    (Faculty of Civil Engineering, The Silesian University of Technology, Akademicka 5, 44-100 Gliwice, Poland)

Abstract

The building sector is one of the largest energy consumers in the world, comprising about 40% of the total energy consumption in numerous countries. Early design decisions have a significant impact on the energy performance of buildings. The paper presents the multi-variable optimization of the selected design parameters in a single-family building in temperate climate conditions. The influence of four types of windows, their size, building orientation, insulation of external wall, roof and ground floor and infiltration on the life cycle costs (LCC) is analyzed. Optimal selection of the design parameters is carried out using genetic algorithms by coupling the building performance simulation program EnergyPlus with optimization environment. The simulations were conducted for seven optimization cases. The analysis is performed for two variants of a building with heating and cooling systems and with a heating system only. Depending on the analyzed case, the life cycle costs decreased from 7% to 34% LCC value of the reference building. In the case of temperate climate, the building optimization (in terms of heat demand only) substantially reduces the heating costs, yet the summer thermal comfort conditions deteriorate significantly.

Suggested Citation

  • Joanna Ferdyn-Grygierek & Krzysztof Grygierek, 2017. "Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms," Energies, MDPI, vol. 10(10), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1570-:d:114635
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    Cited by:

    1. Henrik Engelbrecht Foldager & Rasmus Camillus Jeppesen & Muhyiddine Jradi, 2019. "DanRETRO: A Decision-Making Tool for Energy Retrofit Design and Assessment of Danish Buildings," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
    2. Guoqiang Xu & Hong Jin & Jian Kang, 2019. "Experimental Study on the Indoor Thermo-Hygrometric Conditionsof the Mongolian Yurt," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    3. Krzysztof Grygierek & Joanna Ferdyn-Grygierek, 2022. "Design of Ventilation Systems in a Single-Family House in Terms of Heating Demand and Indoor Environment Quality," Energies, MDPI, vol. 15(22), pages 1-18, November.
    4. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    5. Krzysztof Grygierek & Joanna Ferdyn-Grygierek, 2018. "Multi-Objective Optimization of the Envelope of Building with Natural Ventilation," Energies, MDPI, vol. 11(6), pages 1-17, May.
    6. Ander Sánchez-Chica & Ekaitz Zulueta & Daniel Teso-Fz-Betoño & Pablo Martínez-Filgueira & Unai Fernandez-Gamiz, 2019. "ANN-Based Stop Criteria for a Genetic Algorithm Applied to Air Impingement Design," Energies, MDPI, vol. 13(1), pages 1-17, December.
    7. Niemierko, Rochus & Töppel, Jannick & Tränkler, Timm, 2019. "A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data," Applied Energy, Elsevier, vol. 233, pages 691-708.
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    9. Krzysztof Grygierek & Joanna Ferdyn-Grygierek & Anna Gumińska & Łukasz Baran & Magdalena Barwa & Kamila Czerw & Paulina Gowik & Klaudia Makselan & Klaudia Potyka & Agnes Psikuta, 2020. "Energy and Environmental Analysis of Single-Family Houses Located in Poland," Energies, MDPI, vol. 13(11), pages 1-25, May.
    10. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings," Energies, MDPI, vol. 14(3), pages 1-30, January.
    11. Goopyo Hong & Byungseon Sean Kim, 2018. "Development of a Data-Driven Predictive Model of Supply Air Temperature in an Air-Handling Unit for Conserving Energy," Energies, MDPI, vol. 11(2), pages 1-16, February.
    12. Jongyeon Lim & Ryozo Ooka, 2021. "A CFD-Based Optimization of Building Configuration for Urban Ventilation Potential," Energies, MDPI, vol. 14(5), pages 1-16, March.
    13. Insung Kang & Kwang Ho Lee & Je Hyeon Lee & Jin Woo Moon, 2018. "Artificial Neural Network–Based Control of a Variable Refrigerant Flow System in the Cooling Season," Energies, MDPI, vol. 11(7), pages 1-15, June.
    14. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    15. Miłosz Raczyński & Radosław Rutkowski, 2020. "How Pro-Environmental Legal Regulations Affect the Design Process and Management of Multi-Family Residential Buildings in Poland," Energies, MDPI, vol. 13(20), pages 1-23, October.
    16. Raheela Jamal & Baohui Men & Noor Habib Khan & Muhammad Asif Zahoor Raja, 2019. "Hybrid Bio-Inspired Computational Heuristic Paradigm for Integrated Load Dispatch Problems Involving Stochastic Wind," Energies, MDPI, vol. 12(13), pages 1-23, July.
    17. Israr Ullah & DoHyeun Kim, 2017. "An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes," Energies, MDPI, vol. 10(11), pages 1-21, November.

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