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Agha, R H M and Hussein, A N (2024) Adaptation re-use of traditional cafés in Erbil, Iraq. International Journal of Building Pathology and Adaptation, 42(01), 153-74.
Ben Mahmoud, B, Lehoux, N and Blanchet, P (2024) Integration mechanisms for material suppliers in the construction supply chain: a systematic literature review. Construction Management and Economics, 42(01), 70–107.
Bertolin, C and Berto, F (2024) Sustainable management of heritage buildings in long-term perspective (SyMBoL): current knowledge and further research needs. International Journal of Building Pathology and Adaptation, 42(01), 1-17.
Bertolin, C and Sesana, E (2024) Natural hazards affecting cultural heritage: assessment of flood and landslide risk for the 28 existing Norwegian stave churches. International Journal of Building Pathology and Adaptation, 42(01), 48-91.
Choudhary, R and Tian, W (2014) Influence of district features on energy consumption in non-domestic buildings. Building Research & Information, 42(01), 32-46.
Denny-Smith, G, Williams, M, Loosemore, M, Sunindijo, R Y and Piggott, L (2024) What social value do Indigenous contractors create?. Construction Management and Economics, 42(01), 16–34.
Dykes, C and Baird, G (2014) Performance benchmarks for non-domestic buildings: towards user perception benchmarks. Building Research & Information, 42(01), 62-71.
Hong, S-M, Paterson, G, Mumovic, D and Steadman, P (2014) Improved benchmarking comparability for energy consumption in schools. Building Research & Information, 42(01), 47-61.
Isaacs, N and Hills, A (2014) Understanding the New Zealand non-domestic building stock. Building Research & Information, 42(01), 95-108.
Kourkoulis, S K, Pasiou, E D, Markides, C F, Loukidis, A, Stavrakas, I and Triantis, D (2024) The determination of mode-I fracture toughness (by means of the Brazilian disc configuration) in the light of data provided by the 3D digital image correlation technique. International Journal of Building Pathology and Adaptation, 42(01), 175-92.
Liddiard, R (2014) Room-scale profiles of space use and electricity consumption in non-domestic buildings. Building Research & Information, 42(01), 72-94.
Manara, N, Rosset, L, Zambelli, F, Zanola, A and Califano, A (2024) Natural climate reconstruction in the Norwegian stave churches through time series processing with variational autoencoders. International Journal of Building Pathology and Adaptation, 42(01), 18-34.
Menconi, M, Painting, N and Piroozfar, P (2024) An energy performance baseline scenario for 19thC listed dwellings in the UK. International Journal of Building Pathology and Adaptation, 42(01), 133-52.
Miglioranza, P, Scanu, A, Simionato, G, Sinigaglia, N and Califano, A (2024) Machine learning and engineering feature approaches to detect events perturbing the indoor microclimate in Ringebu and Heddal stave churches (Norway). International Journal of Building Pathology and Adaptation, 42(01), 35-47.
Moreno, M, Ortiz, R and Ortiz, P (2024) Remote sensing to assess the risk for cultural heritage: forecasting potential collapses due to rainfall in historic fortifications. International Journal of Building Pathology and Adaptation, 42(01), 92-113.
Nguyen Chau, T, Pham, T T T, Ha, T C V and Nguyen, D (2024) Corruption, market structure, and industry competition in the Vietnamese construction sector. Construction Management and Economics, 42(01), 54–69.
Rueda-Benavides, J, Gransberg, D, Khalafalla, M and Mayorga, C (2024) Probabilistic cost-based decision-making matrix: IDIQ vs. DBB contracting. Construction Management and Economics, 42(01), 1–15.
Steadman, P, Hamilton, I and Evans, S (2014) Energy and urban built form: an empirical and statistical approach. Building Research & Information, 42(01), 17-31.
Stellacci, S, Domingos, L and Resende, R (2024) Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments. International Journal of Building Pathology and Adaptation, 42(01), 114-32.
- Type: Journal Article
- Keywords: building energy retrofit; climate change adaption; historic built environment; integrated computational tools; parametric modelling tools
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJBPA-03-2022-0044
- Abstract:
Purpose: The purpose of this research is to test the effectiveness of integrating Grasshopper 3D and measuring attractiveness by a categorical based evaluation technique (M-MACBETH) for building energy simulation analysis within a virtual environment. Set of energy retrofitting solutions is evaluated against performance-based criteria (energy consumption, weight and carbon footprint), and considering the preservation of the cultural value of the building, its architectural and spatial configuration. Design/methodology/approach: This research addresses the building energy performance analysis before and after the design of retrofitting solutions in extreme climate environments (2030–2100). The proposed model integrates data obtained from an advanced parametric tool (Grasshopper) and a multi-criteria decision analysis (M-MACBETH) to score different energy retrofitting solutions against energy consumption, weight, carbon footprint and impact on architectural configuration. The proposed model is tested for predicting the performance of a traditional timber-framed dwelling in a historic parish in Lisbon. The performance of distinct solutions is compared in digitally simulated climate conditions (design scenarios) considering different criteria weights. Findings: This study shows the importance of conducting building energy simulation linking physical and digital environments and then, identifying a set of evaluation criteria in the analysed context. Architects, environmental engineers and urban planners should use computational environment in the development design phase to identify design solutions and compare their expected impact on the building configuration and performance-based behaviour. Research limitations/implications: The unavailability of local weather data (EnergyPlus Weather File (EPW) file), the high time-resource effort, and the number/type of the energy retrofit measures tested in this research limit the scope of this study. In energy simulation procedures, the baseline generally covers a period of thirty, ten or five years. In this research, due to the fact that weather data is unavailable in the format required in the simulation process (.EPW file), the input data in the baseline is the average climatic data from EnergyPlus (2022). Additionally, this workflow is time-consuming due to the low interoperability of the software. Grasshopper requires a high-skilled analyst to obtain accurate results. To calculate the values for the energy consumption, i.e. the values of energy per day of simulation, all the values given per hour are manually summed. The values of weight are obtained by calculating the amount of material required (whose dimensions are provided by Grasshopper), while the amount of carbon footprint is calculated per kg of material. Then this set of data is introduced into M-MACBETH. Another relevant limitation is related to the techniques proposed for retrofitting this case study, all based on wood-fibre boards. Practical implications: The proposed method for energy simulation and climate change adaptation can be applied to other historic buildings considering different evaluation criteria and context-based priorities. Social implications: Context-based adaptation measures of the built environment are necessary for the coming years due to the projected extreme temperature changes following the 2015 Paris Agreement and the 2030 Agenda. Built environments include historical sites that represent irreplaceable cultural legacies and factors of the community's identity to be preserved over time. Originality/value: This study shows the importance of conducting building energy simulation using physical and digital environments. Computational environment should be used during the development design phase by architects, engineers and urban planners to rank design solutions against a set of performance criteria and compare the expected impact on the building configuration and performance-based behaviour. This study integrates Grasshopper 3D and M-MACBETH. © 2022, Emerald Publishing Limited.
Taylor, S, Fan, D and Rylatt, M (2014) Enabling urban-scale energy modelling: a new spatial approach. Building Research & Information, 42(01), 4-16.
Zhang, S, Leiringer, R and Winch, G (2024) Procuring infrastructure public-private partnerships: capability development and learning from an owner perspective. Construction Management and Economics, 42(01), 35–53.