Presented at the 6th International Symposium on Innovation in Architecture, Planning and Design (SIAP2024), Ankara, Türkiye, Nov 09, 2024

SETSCI Conference Proceedings, 2024, 20, Page (s): 37-41 , https://doi.org/10.36287/setsci.20.5.037

Published Date: 19 November 2024    | 147     0

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building Energy Management Systems (BEMS), digital twins, and reinforcement learning provide innovative solutions to optimize energy use while minimizing physical interventions. Heritage buildings pose unique challenges for energy retrofits due to structural and regulatory constraints, but AI-driven tools offer non-invasive strategies that align with conservation principles. By predicting energy consumption patterns, facilitating adaptive climate control, and improving predictive maintenance, AI technologies can ensure that energy efficiency goals are met without compromising the building’s historical character. The review also addresses ethical considerations, such as data privacy and the cultural implications of AI interventions in heritage structures. This study highlights the potential for AI to revolutionize energy retrofitting in heritage architecture, providing a roadmap for future research on the integration of AI with sustainable building practices.

Keywords - Artificial Intelligence, Energy Efficiency, Heritage Buildings, BEMS, Digital Twins, Sustainable Retrofitting

[1] R. Fallahtafti and M. Mahdavinejad, “Optimisation of building shape and orientation for better energy efficient architecture,” Int. J. Energy Sect. Manag., vol. 9, no. 4, pp. 593–618, Nov. 2015, doi: 10.1108/IJESM-09-2014-0001.

[2] B. Bajcinovci and F. Jerliu, “Achieving Energy Efficiency in Accordance with Bioclimatic Architecture Principles,” Environ. Clim. Technol., vol. 18, no. 1, pp. 54–63, Dec. 2016, doi: 10.1515/rtuect-2016-0013.

[3] H. Sozer, “Improving energy efficiency through the design of the building envelope,” Build. Environ., vol. 45, no. 12, pp. 2581–2593, Dec. 2010, doi: 10.1016/j.buildenv.2010.05.004.

[4] H. Omrany, A. Ghaffarianhoseini, A. Ghaffarianhoseini, K. Raahemifar, and J. Tookey, “Application of passive wall systems for improving the energy efficiency in buildings: A comprehensive review,” Renew. Sustain. Energy Rev., vol. 62, pp. 1252–1269, Sep. 2016, doi: 10.1016/j.rser.2016.04.010.

[5] Ş. G. Beyhan and A. B. Avcı, “Investigation of Buildings in Alaçatı in Terms of Energy Efficiency in Architecture,” Iconarp Int. J. Archit. Plan., vol. 8, no. 2, pp. 606–629, Dec. 2020, doi: 10.15320/ICONARP.2020.129.

[6] A. B. Avci and S. G. Beyhan, “Revealing the Climate-Responsive Strategies of Traditional Houses of Urla, İzmir,” Int. J. Sustain. Build. Technol. Urban Dev., vol. 14, no. 1, pp. 18–34, 2023, doi: 10.22712/susb.20230003.

[7] M. Beccali, V. Strazzeri, M. L. Germanà, V. Melluso, and A. Galatioto, “Vernacular and bioclimatic architecture and indoor thermal comfort implications in hot-humid climates: An overview,” Renew. Sustain. Energy Rev., vol. 82, no. xxxx, pp. 1726–1736, 2018, doi: 10.1016/j.rser.2017.06.062.

[8] A. L. Webb, “Energy retrofits in historic and traditional buildings: A review of problems and methods,” Renew. Sustain. Energy Rev., vol. 77, pp. 748–759, Sep. 2017, doi: 10.1016/j.rser.2017.01.145.

[9] K. Fouseki and M. Cassar, “Energy Efficiency in Heritage Buildings — Future Challenges and Research Needs,” Hist. Environ. Policy Pract., vol. 5, no. 2, pp. 95–100, Jul. 2014, doi: 10.1179/1756750514Z.00000000058.

[10] L. Dias Pereira, V. Tavares, and N. Soares, “Up-To-Date Challenges for the Conservation, Rehabilitation and Energy Retrofitting of Higher Education Cultural Heritage Buildings,” Sustainability, vol. 13, no. 4, p. 2061, Feb. 2021, doi: 10.3390/su13042061.

[11] A. Martínez-Molina, I. Tort-Ausina, S. Cho, and J.-L. Vivancos, “Energy efficiency and thermal comfort in historic buildings: A review,” Renew. Sustain. Energy Rev., vol. 61, pp. 70–85, Aug. 2016, doi: 10.1016/j.rser.2016.03.018.

[12] A. Khalil, N. Hammouda, and K. El-Deeb, “Implementing Sustainability in Retrofitting Heritage Buildings. Case Study: Villa Antoniadis, Alexandria, Egypt,” Heritage, vol. 1, no. 1, pp. 57–87, May 2018, doi: 10.3390/heritage1010006.

[13] C. Panakaduwa, P. Coates, and M. Munir, “Identifying sustainable retrofit challenges of historical Buildings: A systematic review,” Energy Build., vol. 313, p. 114226, Jun. 2024, doi: 10.1016/j.enbuild.2024.114226.

[14] S. K. Güleroğlu, M. E. Karagüler, İ. Kahraman, and E. S. Umdu, “Methodological approach for performance assessment of historical buildings based on seismic, energy and cost performance: A Mediterranean case,” J. Build. Eng., vol. 31, p. 101372, Sep. 2020, doi: 10.1016/j.jobe.2020.101372.

[15] Z. Sigmund, “Sustainability in architectural heritage: review of policies and practices,” Organ. Technol. Manag. Constr. an Int. J., vol. 8, no. 1, pp. 1411–1421, Dec. 2016, doi: 10.1515/otmcj-2016-0007.

[16] F. Berg, A.-C. Flyen, Å. L. Godbolt, and T. Broström, “User-driven energy efficiency in historic buildings: A review,” J. Cult. Herit., vol. 28, pp. 188–195, Nov. 2017, doi: 10.1016/j.culher.2017.05.009.

[17] J. Aguilar, A. Garces-Jimenez, M. D. R-Moreno, and R. García, “A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings,” Renew. Sustain. Energy Rev., vol. 151, p. 111530, Nov. 2021, doi: 10.1016/j.rser.2021.111530.

[18] R. O. Yussuf and O. S. Asfour, “Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview,” Energy Build., vol. 305, p. 113903, Feb. 2024, doi: 10.1016/j.enbuild.2024.113903.

[19] A. I. Dounis, “Artificial intelligence for energy conservation in buildings,” Adv. Build. Energy Res., vol. 4, no. 1, pp. 267–299, Jan. 2010, doi: 10.3763/aber.2009.0408.

[20] A. B. Avci, “Exploring Quantitative Analysis of Thermal Comfort in Architecture as a Positivist Research Paradigm,” in Architecture Applications, 1st ed., M. DAL, Ed. Ankara: Bidge Publications, 2024, pp. 5–32.

[21] H. Farzaneh, L. Malehmirchegini, A. Bejan, T. Afolabi, A. Mulumba, and P. P. Daka, “Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency,” Appl. Sci., vol. 11, no. 2, p. 763, Jan. 2021, doi: 10.3390/app11020763.

[22] Z. Ni, P. Eriksson, Y. Liu, M. Karlsson, and S. Gong, “Improving energy efficiency while preserving historic buildings with digital twins and artificial intelligence,” IOP Conf. Ser. Earth Environ. Sci., vol. 863, no. 1, p. 012041, Oct. 2021, doi: 10.1088/1755-1315/863/1/012041.

[23] M. Arun, G. Gopan, S. Vembu, D. U. Ozsahin, H. Ahmad, and M. F. Alotaibi, “Internet of things and deep learning-enhanced monitoring for energy efficiency in older buildings,” Case Stud. Therm. Eng., vol. 61, p. 104867, Sep. 2024, doi: 10.1016/j.csite.2024.104867.

[24] N. Bocaneala, M. Mayouf, E. Vakaj, and M. Shelbourn, “Artificial Intelligence Based Methods for Retrofit Projects: A Review of Applications and Impacts,” Arch. Comput. Methods Eng., Aug. 2024, doi: 10.1007/s11831-024-10159-7.

[25] A. Galatioto, G. Ciulla, and R. Ricciu, “An overview of energy retrofit actions feasibility on Italian historical buildings,” Energy, vol. 137, pp. 991–1000, Oct. 2017, doi: 10.1016/j.energy.2016.12.103.

[26] L. Mazzarella, “Energy retrofit of historic and existing buildings. The legislative and regulatory point of view,” Energy Build., vol. 95, pp. 23–31, May 2015, doi: 10.1016/j.enbuild.2014.10.073.

[27] S. Lidelöw, T. Örn, A. Luciani, and A. Rizzo, “Energy-efficiency measures for heritage buildings: A literature review,” Sustain. Cities Soc., vol. 45, pp. 231–242, Feb. 2019, doi: 10.1016/j.scs.2018.09.029.

[28] G. Carbonara, “Energy efficiency as a protection tool,” Energy Build., vol. 95, pp. 9–12, May 2015, doi: 10.1016/j.enbuild.2014.12.052.

[29] A. Buda et al., “Conservation-Compatible Retrofit Solutions in Historic Buildings: An Integrated Approach,” Sustainability, vol. 13, no. 5, p. 2927, Mar. 2021, doi: 10.3390/su13052927.

[30] G. Nair, L. Verde, and T. Olofsson, “A Review on Technical Challenges and Possibilities on Energy Efficient Retrofit Measures in Heritage Buildings,” Energies, vol. 15, no. 20, p. 7472, Oct. 2022, doi: 10.3390/en15207472.

[31] L. de Santoli, “Guidelines on energy efficiency of cultural heritage,” Energy Build., vol. 86, pp. 534–540, Jan. 2015, doi: 10.1016/j.enbuild.2014.10.050.

[32] A. Tejani, “Integrating Energy-Efficient HVAC Systems into Historical Buildings: Challenges and Solutions for Balancing Preservation and Modernization,” ESP J. Eng. Technol. Adv., vol. 1, no. 1, pp. 83–97, 2021, doi: 10.56472/25832646/JETA-V1I1P111.

[33] D. M. T. E. Ali, V. Motuzienė, and R. Džiugaitė-Tumėnienė, “AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings,” Energies, vol. 17, no. 17, p. 4277, Aug. 2024, doi: 10.3390/en17174277.

[34] S. U. Khan, N. Khan, F. U. M. Ullah, M. J. Kim, M. Y. Lee, and S. W. Baik, “Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting,” Energy Build., vol. 279, p. 112705, Jan. 2023, doi: 10.1016/j.enbuild.2022.112705.

[35] E. Lucchi, “Energy efficiency in historic buildings: a tool for analysing the compatibility, integration and reversibility of renewable energy technologies,” in World Renewable Energy Congress 2011 low-energy architecture (LEA), 2011, vol. 9.

[36] G. Akyol and A. B. Avci, “AI APPLICATIONS IN CULTURAL HERITAGE PRESERVATION : TECHNOLOGICAL ADVANCEMENTS FOR THE CONSERVATION,” in 4. BASKENT INTERNATIONAL CONFERENCE ON MULTIDISCIPLINARY STUDIES, 2023, pp. 94–101, doi: 10.6084/m9.figshare.24077862.

[37] L. M. Khodeir, D. Aly, and S. Tarek, “Integrating HBIM (Heritage Building Information Modeling) Tools in the Application of Sustainable Retrofitting of Heritage Buildings in Egypt,” Procedia Environ. Sci., vol. 34, pp. 258–270, 2016, doi: 10.1016/j.proenv.2016.04.024.

[38] A. Martinez-Molina, K. Williamson, and W. Dupont, “Thermal comfort assessment of stone historic religious buildings in a hot and humid climate during cooling season. A case study,” Energy Build., vol. 262, p. 111997, 2022.

[39] P. Kofinas, G. Vouros, and A. I. Dounis, “Energy management in solar microgrid via reinforcement learning using fuzzy reward,” Adv. Build. Energy Res., vol. 12, no. 1, pp. 97–115, Jan. 2018, doi: 10.1080/17512549.2017.1314832.

[40] J. Gottsche, M. Kelly, and M. Taggart, “Assessing the impact of energy management initiatives on the energy usage during the construction phase of an educational building project in Ireland,” Constr. Manag. Econ., vol. 34, no. 1, pp. 46–60, Jan. 2016, doi: 10.1080/01446193.2016.1162317.

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