Multi-objective optimization on sustainable retrofit of historical buildings using NSGA-II Algorithm: A case study of Suzhou – Green Technology & Innovation | Caravel Press
The aim of the study is to advance the revitalization of historical buildings, it is crucial to preserve their historical character while addressing challenges such as poor thermal performance and low environmental comfort, making them better suited to modern needs. Focusing on historical buildings in Suzhou, this study examines integrated renovation strategies that balance objectives such as historical preservation, energy efficiency, cost reduction, and improved environmental comfort. The theoretical component of the research seeks to evaluate the potential for sustainable retrofitting of historical buildings in Suzhou. It aims to reveal the underlying relationships between historical preservation, sustainability goals, and retrofit strategies, ultimately proposing a set of approaches that address multiple objectives. This framework is intended to support more holistic decision-making for green renovations of historical buildings. By offering comprehensive solutions, the research aspires to advance environmental sustainability while maximizing the value of urban historical and cultural heritage preservation.
Silvero F, Montelpare S, Rodrigues F, Spacone E, Varum H. Energy retrofit solutions for heritage buildings located in hot-humid climates. Procedia Struct Integr. 2018;11:52-59. doi: 10.1016/j.prostr.2018.11.008
Chae Y, Kim SH. Selection of retrofit measures for reasonable energy and hygrothermal performances of modern heritage building under dry cold and hot humid climate: A case of modern heritage school in Korea. Case Stud Therm Eng. 2022;36:102243. doi: 10.1016/j.csite.2022.102243
Jiang W, Hu H, Tang X, et al. Protective energy-saving retrofits of rammed earth heritage buildings using multi-objective optimization. Case Stud Therm Eng. 2022;38:102343. doi: 10.1016/j.csite.2022.102343
Wang Y. Suzhou Creative Cities Network - UNESCO. Suzhou Intangible Cultural Heritage Conservation and Management Office; 2014. Available from: https://en.unesco.org/creative-cities/suzhou [Last accessed on 2024 Jun 30].
Ge J, Lu J, Wu J, Luo X, Shen F. Suitable and energy-saving retrofit technology research in traditional wooden houses in Jiangnan, South China. J Build Eng. 2022;45:103550. doi: 10.1016/j.jobe.2021.103550
Clemente P. Extending the life-span of cultural heritage structures. J Civ Struct Health Monit. 2018;8:171-179. doi: 10.1007/s13349-018-0278-3
Besen P, Boarin P. Integrating energy retrofit with seismic upgrades to future-proof built heritage: Case studies of unreinforced masonry buildings in Aotearoa New Zealand. Build Environ. 2023;241:110512. doi: 10.1016/j.buildenv.2023.110512
Lidelöw S, Örn T, Luciani A, Rizzo A. Energy-efficiency measures for heritage buildings: A literature review. Sustain Cities Soc. 2019;45:231-242. doi: 10.1016/j.scs.2018.09.029
Ma M, Ma X, Cai W, Cai W. Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak. Appl Energy. 2020;273:115247. doi: 10.1016/j.apenergy.2020.115247
Almeida M, Ascione F, Iaccheo A, Iovane T, Mastellone M. Towards the necessary decarbonization of historic buildings: A review. Energies (Basel). 2025;18(3):502. doi: 10.3390/en18030502
Perret NL, Héberlé E, Perret LE. Multi-Benefit decision- making process for historic buildings: Validation of the caleche hub conceptual model through a literature review. Heritage. 2025;8(2):45. doi: 10.3390/heritage8020045
Ruggeri AG, Calzolari M, Scarpa M, Gabrielli L, Davoli P. Planning energy retrofit on historic building stocks: A score-driven decision support system. Energy Build. 2020;224:110066. doi: 10.1016/j.enbuild.2020.110066
Choi JY, Nam J, Yuk H, et al. Proposal of retrofit of historic buildings as cafes in Korea: Recycling biomaterials to improve building energy and acoustic performance. Energy Build. 2023;287:112988. doi: 10.1016/j.enbuild.2023.112988
Paul WL, Taylor PA. A comparison of occupant comfort and satisfaction between a green building and a conventional building. Build Environ. 2008;43(11):1858-1870. doi: 10.1016/j.buildenv.2007.11.006
Kadrić D, Aganović A, Kadrić E. Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs. Energy Rep. 2023;10:1968-1981. doi: 10.1016/j.egyr.2023.08.086
Lou Y, Yang Y, Ye Y, He C, Zuo W. The economic impacts of carbon emission trading scheme on building retrofits: A case study with U.S. medium office buildings. Build Environ. 2022;221:109311. doi: 10.1016/j.buildenv.2022.109311
Şahin CD, Arsan ZD, Tunçoku SS, Broström T, Akkurt GG. A transdisciplinary approach on the energy efficient retrofitting of a historic building in the Aegean Region of Turkey. Energy Build. 2015;96:128-139. doi: 10.1016/j.enbuild.2015.03.018
Roberti F, Oberegger UF, Lucchi E, Troi A. Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process. Energy Build. 2017;138:1-10. doi: 10.1016/j.enbuild.2016.12.028
Lu Y, Li P, Lee YP, Song X. An integrated decision- making framework for existing building retrofits based on energy simulation and cost-benefit analysis. J Build Eng. 2021;43:103200. doi: 10.1016/j.jobe.2021.103200
Gupta V, Deb C. Energy retrofit analysis for an educational building in Mumbai. Sustain Futur. 2022;4:100096. doi: 10.1016/j.sftr.2022.100096
Marzouk M, El-Maraghy M, Metawie M. Assessing retrofit strategies for mosque buildings using TOPSIS. Energy Rep. 2023;9:1397-1414. doi: 10.1016/j.egyr.2022.12.073
Yuk H, Choi JY, Kim YU, Chang SJ, Kim S. Historic building energy conservation with wooden attic using vacuum insulation panel retrofit technology. Build Environ. 2023;230:110004. doi: 10.1016/j.buildenv.2023.110004
Yuk H, Jo HH, Choi JY, Nam J, Chang SJ, Kim S. Evaluation of suitability for passive retrofit of wooden roof considering the specificity of historic buildings. Build Environ. 2023;242:110608. doi: 10.1016/j.buildenv.2023.110608
Li Y, Zhou T, Wang Z, et al. Environment improvement and energy saving in Chinese rural housing based on the field study of thermal adaptability. Energy Sustain Dev. 2022;71:315-329. doi: 10.1016/j.esd.2022.10.006
Walker L, Hischier I, Schlueter A. Does context matter? Robust building retrofit decision-making for decarbonization across Europe. Build Environ. 2022;226:109666. doi: 10.1016/j.buildenv.2022.109666
How to cite this article
Zhang, S., Xu, Q. and Riffat, S. (2025). 'Multi-objective optimization on sustainable retrofit of historical buildings using NSGA-II Algorithm: A case study of Suzhou'. Green Technology & Innovation, 1, pp. 1-12. https://doi.org/10.36922/gti.7658
