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Basic Principles, Most Common Computational Tools, and Capabilities for Building Energy and Urban Microclimate Simulations

Author

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  • George M. Stavrakakis

    (Department of Mechanical Engineering, School of Engineering, Hellenic Mediterranean University (HMU), Estavromenos, GR-71410 Heraklion, Greece
    MES Energy S.A., 67 Aeolou Str., GR-10559 Athens, Greece)

  • Dimitris Al. Katsaprakakis

    (Department of Mechanical Engineering, School of Engineering, Hellenic Mediterranean University (HMU), Estavromenos, GR-71410 Heraklion, Greece)

  • Markos Damasiotis

    (Division of Development Programmes, Centre for Renewable Energy Sources and Saving (CRES), 19th km Marathonos Av., GR-19009 Pikermi, Greece)

Abstract

This paper presents basic principles of built-environment physics’ modelling, and it reviews common computational tools and capabilities in a scope of practical design approaches for retrofitting purposes. Well-established simulation models and methods, with applications found mainly in the international scientific literature, are described by means of strengths and weaknesses as regards related tools’ availability, easiness to use, and reliability towards the determination of the optimal blends of retrofit measures for building energy upgrading and Urban Heat Island (UHI) mitigation. The various characteristics of computational approaches are listed and collated by means of comparison among the principal modelling methods as well as among the respective computational tools that may be used for simulation and decision-making purposes. Insights of coupling between building energy and urban microclimate models are also presented. The main goal was to provide a comprehensive overview of available simulation methods that can be used at the early design stages for planning retrofitting strategies and guiding engineers and technical professionals through the simulation tools’ options oriented to the considered case study.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6707-:d:657461
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    References listed on IDEAS

    as
    1. Abanda, F.H. & Byers, L., 2016. "An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)," Energy, Elsevier, vol. 97(C), pages 517-527.
    2. Xunzhi Yin & Jiaqi Yu & Qi Dong & Yongheng Jia & Cheng Sun, 2020. "Energy Sustainability of Rural Residential Buildings with Bio-Based Building Fabric in Northeast China," Energies, MDPI, vol. 13(21), pages 1-14, November.
    3. Alessandra Battisti, 2020. "Bioclimatic Architecture and Urban Morphology. Studies on Intermediate Urban Open Spaces," Energies, MDPI, vol. 13(21), pages 1-20, November.
    4. Joanna Ferdyn-Grygierek & Dorota Bartosz & Aleksandra Specjał & Krzysztof Grygierek, 2018. "Analysis of Accuracy Determination of the Seasonal Heat Demand in Buildings Based on Short Measurement Periods," Energies, MDPI, vol. 11(10), pages 1-19, October.
    5. Mahmud, Khizir & Amin, Uzma & Hossain, M.J. & Ravishankar, Jayashri, 2018. "Computational tools for design, analysis, and management of residential energy systems," Applied Energy, Elsevier, vol. 221(C), pages 535-556.
    6. Maria-Mar Fernandez-Antolin & José-Manuel del-Río & Fernando del Ama Gonzalo & Roberto-Alonso Gonzalez-Lezcano, 2020. "The Relationship between the Use of Building Performance Simulation Tools by Recent Graduate Architects and the Deficiencies in Architectural Education," Energies, MDPI, vol. 13(5), pages 1-20, March.
    7. Valentina Bonetti & Georgios Kokogiannakis, 2017. "Dynamic Exergy Analysis for the Thermal Storage Optimization of the Building Envelope," Energies, MDPI, vol. 10(1), pages 1-19, January.
    8. Bo Rang Park & Jongin Hong & Eun Ji Choi & Young Jae Choi & Choonyeob Lee & Jin Woo Moon, 2019. "Improvement in Energy Performance of Building Envelope Incorporating Electrochromic Windows (ECWs)," Energies, MDPI, vol. 12(6), pages 1-18, March.
    9. Dimitris Al. Katsaprakakis & Georgios Zidianakis & Yiannis Yiannakoudakis & Evaggelos Manioudakis & Irini Dakanali & Spyros Kanouras, 2020. "Working on Buildings’ Energy Performance Upgrade in Mediterranean Climate," Energies, MDPI, vol. 13(9), pages 1-28, May.
    10. 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.
    11. Dimitris Al. Katsaprakakis, 2020. "Computational Simulation and Dimensioning of Solar-Combi Systems for Large-Size Sports Facilities: A Case Study for the Pancretan Stadium, Crete, Greece," Energies, MDPI, vol. 13(9), pages 1-30, May.
    12. Kee Han Kim & John Kie-Whan Oh & WoonSeong Jeong, 2016. "Study on Solar Radiation Models in South Korea for Improving Office Building Energy Performance Analysis," Sustainability, MDPI, vol. 8(6), pages 1-14, June.
    13. Víctor Pérez-Andreu & Carolina Aparicio-Fernández & José-Luis Vivancos & Javier Cárcel-Carrasco, 2021. "Experimental Data and Simulations of Performance and Thermal Comfort in a Typical Mediterranean House," Energies, MDPI, vol. 14(11), pages 1-14, June.
    14. Goia, Francesco & Haase, Matthias & Perino, Marco, 2013. "Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective," Applied Energy, Elsevier, vol. 108(C), pages 515-527.
    15. Ka-Ming Wai & Lei Xiao & Tanya Zheng Tan, 2021. "Improvement of the Outdoor Thermal Comfort by Water Spraying in a High-Density Urban Environment under the Influence of a Future (2050) Climate," Sustainability, MDPI, vol. 13(14), pages 1-13, July.
    16. Mohadeseh Seyednezhad & Hamidreza Najafi, 2021. "Solar-Powered Thermoelectric-Based Cooling and Heating System for Building Applications: A Parametric Study," Energies, MDPI, vol. 14(17), pages 1-17, September.
    17. Cibele Eller & Mohamad Rida & Katharina Boudier & Caio Otoni & Gabriela Celani & Lucila Labaki & Sabine Hoffmann, 2021. "Climate-Based Analysis for the Potential Use of Coconut Oil as Phase Change Material in Buildings," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    18. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    19. 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.
    20. Stephan, Louis & Bastide, Alain & Wurtz, Etienne, 2011. "Optimizing opening dimensions for naturally ventilated buildings," Applied Energy, Elsevier, vol. 88(8), pages 2791-2801, August.
    21. Miae Seong & Cheolsoo Lim & Jaehyun Lim & Jaewan Park, 2021. "A Study on the Status and Thermal Environment Improvement of Ceiling-Embedded Indoor Cooling and Heating Unit," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    22. Lilliana L.H. Peng & C. Y. Jim, 2013. "Green-Roof Effects on Neighborhood Microclimate and Human Thermal Sensation," Energies, MDPI, vol. 6(2), pages 1-21, January.
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    Cited by:

    1. Nikolaos Papadakis & Dimitrios Al. Katsaprakakis, 2023. "A Review of Energy Efficiency Interventions in Public Buildings," Energies, MDPI, vol. 16(17), pages 1-34, August.
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    3. Dimitris A. Katsaprakakis & Nikos Papadakis & Efi Giannopoulou & Yiannis Yiannakoudakis & George Zidianakis & Michalis Kalogerakis & George Katzagiannakis & Eirini Dakanali & George M. Stavrakakis & A, 2023. "Rational Use of Energy in Sports Centres to Achieve Net Zero: The SAVE Project (Part A)," Energies, MDPI, vol. 16(10), pages 1-41, May.
    4. Alberto Barbaresi & Mattia Ceccarelli & Giulia Menichetti & Daniele Torreggiani & Patrizia Tassinari & Marco Bovo, 2022. "Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need," Energies, MDPI, vol. 15(4), pages 1-16, February.
    5. Zhengrong Li & Yang Si & Qun Zhao & Xiwen Feng, 2023. "A New Method of Building Envelope Thermal Performance Evaluation Considering Window–Wall Correlation," Energies, MDPI, vol. 16(19), pages 1-25, October.
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    7. Komi Bernard Bedra & Bohong Zheng & Jiayu Li & Xi Luo, 2023. "A Parametric-Simulation Method to Study the Interconnections between Urban-Street-Morphology Indicators and Their Effects on Pedestrian Thermal Comfort in Tropical Summer," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    8. Komi Bernard Bedra & Jian Zheng & Jiayu Li & Zhaoqian Sun & Bohong Zheng, 2023. "Automating Microclimate Evaluation and Optimization during Urban Design: A Rhino–Grasshopper Workflow," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    9. Dimitrios Tziritas & George M. Stavrakakis & Dimitris Bakirtzis & George Kaplanis & Konstantinos Patlitzianas & Markos Damasiotis & Panagiotis L. Zervas, 2023. "Techno-Economic Analysis of a Hydrogen-Based Power Supply Backup System for Tertiary Sector Buildings: A Case Study in Greece," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
    10. George M. Stavrakakis & Panagiotis L. Zervas & Konstantinos Terzis & Panagiotis Langouranis & Panagiota Saranti & Yorgos J. Stephanedes, 2023. "Exploitation of Mediterranean Cooperation Projects’ Tools for the Development of Public Buildings’ Energy Efficiency Plans at Local Level: A Case Study in Greece," Energies, MDPI, vol. 16(8), pages 1-33, April.
    11. Márcia Matias & Sara Lopes & António Lopes, 2023. "The Climate of My Neighborhood: Households’ Willingness to Adapt to Urban Climate Change," Land, MDPI, vol. 12(4), pages 1-18, April.

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