1. Aksamija, A. (2015). Regenerative Design of Existing Buildings for Net-Zero Energy Use. Procedia Engineering, 118, 72–80. DOI: 10.1016/j.proeng.2015.08.405
2. Alabid, J., Bennadji, A., & Seddiki, M. (2022). A review on the energy retrofit policies and improvements of the UK existing buildings, challenges and benefits. In Renewable and Sustainable Energy Reviews (Vol. 159). Elsevier Ltd. DOI: 10.1016/j.rser.2022.112161
3. Alavirad, S., Mohammadi, S., Hoes, P. J., Xu, L., & Hensen, J. L. M. (2022). Future-Proof Energy-Retrofit strategy for an existing Dutch neighbourhood. Energy and Buildings, 260. DOI: 10.1016/j.enbuild.2022.111914
4. Ballarini, I., Corgnati, S. P., Corrado, V., & Talà, N. (2011b). DEFINITION OF BUILDING TYPOLOGIES FOR ENERGY INVESTIGATIONS ON RESIDENTIAL SECTOR BY TABULA IEE-PROJECT: APPLICATION TO ITALIAN CASE STUDIES. https://api.semanticscholar.org/CorpusID:110911694
5. Ballarini, I., Corrado, V., Madonna, F., Paduos, S., & Ravasio, F. (2017). Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology. Energy Policy, 105, 148–160. DOI: 10.1016/j.enpol.2017.02.026
6. Beagon, P., Boland, F., & Saffari, M. (2020). Closing the gap between simulation and measured energy use in home archetypes. Energy and Buildings, 224. DOI: 10.1016/j.enbuild.2020.110244
7. Becchio, C. ,Corgnati, S. P. ,Ballarini, I. ,& C. V. (2012). Energy saving potential. REHVA.
8. Bennadji, A., Seddiki, M., Alabid, J., Laing, R., & Gray, D. (2022). Predicting Energy Savings of the UK Housing Stock under a Step-by-Step Energy Retrofit Scenario towards Net-Zero. Energies, 15(9). DOI: 10.3390/en15093082
9. Boardman, B. (2007). Examining the carbon agenda via the 40% House scenario. Building Research and Information, 35(4), 363–378. DOI: 10.1080/09613210701238276
10. Bouw, K., Noorman, K. J., Wiekens, C. J., & Faaij, A. (2021). Local energy planning in the built environment: An analysis of model characteristics. In Renewable and Sustainable Energy Reviews (Vol. 144). Elsevier Ltd. DOI: 10.1016/j.rser.2021.111030
11. Carletti, C., Sciurpi, F., & Pierangioli, L. (2014). The energy upgrading of existing buildings: Window and shading device typologies for energy efficiency refurbishment. Sustainability (Switzerland), 6(8), 5354–5377. DOI: 10.3390/su6085354
12. Coma, J., Maldonado, J. M., de Gracia, A., Gimbernat, T., Botargues, T., & Cabeza, L. F. (2019). Comparative analysis of energy demand and CO2 emissions on different typologies of residential buildings in Europe. Energies, 12(12). DOI: 10.3390/en12122436
13. Dascalaki, E. G., Droutsa, K. G., Balaras, C. A., & Kontoyiannidis, S. (2011a). Building typologies as a tool for assessing the energy performance of residential buildings - A case study for the Hellenic building stock. Energy and Buildings, 43(12), 3400–3409. DOI: 10.1016/j.enbuild.2011.09.002
14. Del Rosario, P., Palumbo, E., & Traverso, M. (2021). Environmental product declarations as data source for the environmental assessment of buildings in the context of level(S) and dgnb: How feasible is their adoption? Sustainability (Switzerland), 13(11). DOI: 10.3390/su13116143
15. Fernandez-Luzuriaga, J., del Portillo-Valdes, L., & Flores-Abascal, I. (2021). Identification of cost-optimal levels for energy refurbishment of a residential building stock under different scenarios: Application at the urban scale. Energy and Buildings, 240. DOI: 10.1016/j.enbuild.2021.110880
16. Ignjatović, D., Zeković, B., Ignjatović, N. Ć., Ðukanović, L., Radivojević, A., & Rajčić, A. (2021). Methodology for residential building stock refurbishment planning—development of local building typologies. Sustainability (Switzerland), 13(8). DOI: 10.3390/su13084262
17. Kadrić, D., Aganovic, A., Kadrić, E., Delalić-Gurda, B., & Jackson, S. (2022). Applying the response surface methodology to predict the energy retrofit performance of the TABULA residential building stock. Journal of Building Engineering, 105307. DOI: 10.1016/j.jobe.2022.105307
18. Kadrić, D., Aganovic, A., Martinović, S., Delalić, N., & Delalić-Gurda, B. (2022). Cost-related analysis of implementing energy-efficient retrofit measures in the residential building sector of a middle-income country – A case study of Bosnia and Herzegovina. Energy and Buildings, 257 DOI: 10.1016/j.enbuild.2021.111765
19. Kirkegaard, P. H., & Foged, I. W. (2011). Development and Evaluation of a Responsive Building Envelope. https://api.semanticscholar.org/CorpusID:55988160}
20. Kragh, J., & Wittchen, K. B. (2014). Development of two Danish building typologies for residential buildings. Energy and Buildings, 68(PARTA), 79–86 DOI: 10.1016/j.enbuild.2013.04.028
21. Kristensen, M. H., & Petersen, S. (2021). District heating energy efficiency of Danish building typologies. Energy and Buildings, 231. DOI: 10.1016/j.enbuild.2020.110602
22. Lee, J., McCuskey Shepley, M., & Choi, J. (2019). Exploring the effects of a building retrofit to improve energy performance and sustainability: A case study of Korean public buildings. Journal of Building Engineering, 25. DOI: 10.1016/j.jobe.2019.100822
23. Li, Q., Zhang, L., Zhang, L., & Wu, X. (2021). Optimizing energy efficiency and thermal comfort in building green retrofit. Energy, 237. DOI: 10.1016/j.energy.2021.121509
24. Li, Y., Kubicki, S., Guerriero, A., & Rezgui, Y. (2019). Review of building energy performance certification schemes towards future improvement. Renewable and Sustainable Energy Reviews, 113. DOI: 10.1016/j.rser.2019.109244
25. Liu, T., Ma, G., & Wang, D. (2022). Pathways to Successful Building Green Retrofit Projects: Causality Analysis of Factors Affecting Decision Making. Energy and Buildings, 112486. DOI: 10.1016/j.enbuild.2022.112486
26. Loga, T., Stein, B., & Diefenbach, N. (2016). TABULA building typologies in 20 European countries—Making energy-related features of residential building stocks comparable. Energy and Buildings, 132, 4–12. DOI: 10.1016/j.enbuild.2016.06.094
27. Marasco, D. E., & Kontokosta, C. E. (2016). Applications of machine learning methods to identifying and predicting building retrofit opportunities. Energy and Buildings, 128, 431–441. DOI: 10.1016/j.enbuild.2016.06.092
28. Merlet, Y., Rouchier, S., Jay, A., Cellier, N., & Woloszyn, M. (2022). Integration of phasing on multi-objective optimization of building stock energy retrofit. Energy and Buildings, 257. DOI: 10.1016/j.enbuild.2021.111776
29. Mirzabeigi, S., & Razkenari, M. (2022). Design optimization of urban typologies: A framework for evaluating building energy performance and outdoor thermal comfort. Sustainable Cities and Society, 76. DOI: 10.1016/j.scs.2021.103515
30. Ortiz, M., Itard, L., & Bluyssen, P. M. (2020). Indoor environmental quality related risk factors with energy-efficient retrofitting of housing: A literature review. Energy and Buildings, 221. DOI: 10.1016/j.enbuild.2020.110102
31. Pungercar, V., Zhan, Q., Xiao, Y., Musso, F., Dinkel, A., & Pflug, T. (2021). A new retrofitting strategy for the improvement of indoor environment quality and energy efficiency in residential buildings in temperate climate using prefabricated elements. Energy and Buildings, 241. DOI: 10.1016/j.enbuild.2021.110951
32. Re Cecconi, F., Khodabakhshian, A., & Rampini, L. (2022). Data-driven decision support system for building stocks energy retrofit policy. Journal of Building Engineering, 54. DOI: 10.1016/j.jobe.2022.104633
33. Salehi, A., Torres, I., & Ramos, A. (2015). Computing the thermal energy performance of building by virtue of building dimensional typology. Energy Procedia, 78, 1063–1068. DOI: 10.1016/j.egypro.2015.11.029
34. Song, S., Leng, H., Xu, H., Guo, R., & Zhao, Y. (2020). Impact of urban morphology and climate on heating energy consumption of buildings in severe cold regions. International Journal of Environmental Research and Public Health, 17(22), 1–25. DOI: 10.3390/ijerph17228354
35. Sugár, V., Talamon, A., Horkai, A., & Kita, M. (2020). Energy saving retrofit in a heritage district: The case of the Budapest. Journal of Building Engineering, 27. DOI: 10.1016/j.jobe.2019.100982
36. Tompkins, E. L., & Adger, W. N. (2003). Building resilience to climate change through adaptive management of natural resources. http://eprints.soton.ac.uk/id/eprint/203987
37. Wang, Y., Qu, K., Chen, X., Gan, G., & Riffat, S. (2022). An innovative retrofit Motivation-Objective-Criteria (MOC) approach integrating homeowners’ engagement to unlocking low-energy retrofit in residential buildings. Energy and Buildings, 259. DOI: 10.1016/j.enbuild.2022.111834
38. Webb, J., Hawkey, D., & Tingey, M. (2016). Governing cities for sustainable energy: The UK case. Cities, 54, 28–35. DOI: 10.1016/j.cities.2015.10.014
39. Xiong, J., Yao, R., Grimmond, S., Zhang, Q., & Li, B. (2019). A hierarchical climatic zoning method for energy efficient building design applied in the region with diverse climate characteristics. Energy and Buildings, 186, 355–367. DOI: 10.1016/j.enbuild.2019.01.005
40. Yazdi Bahri, S., Alier Forment, M., & Sanchez Riera, A. (2021). Thermal comfort improvement by applying parametric design panel as a second skin on the facade in building refurbishment in moderate climate. ACM International Conference Proceeding Series, 763–767. DOI: 10.1145/3486011.3486535

Informazioni sul capitolo

Informazioni bibliografiche