极端气候环境下历史建筑节能改造的综合计算方法

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY International Journal of Building Pathology and Adaptation Pub Date : 2022-10-18 DOI:10.1108/ijbpa-03-2022-0044
S. Stellacci, Leonor Domingos, R. Resende
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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.FindingsThis 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. 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引用次数: 2

摘要

本研究的目的是通过基于分类的评估技术(M-MACBETH)来测试集成Grasshopper 3D和测量吸引力的有效性,用于虚拟环境中的建筑能源模拟分析。一套能源改造解决方案是根据基于性能的标准(能源消耗、重量和碳足迹)进行评估的,并考虑到建筑物的文化价值、建筑和空间配置的保护。设计/方法/方法本研究解决了极端气候环境下(2030-2100)改造解决方案设计前后的建筑能源性能分析。所提出的模型集成了从高级参数化工具(Grasshopper)和多标准决策分析(M-MACBETH)获得的数据,根据能耗、重量、碳足迹和对建筑配置的影响对不同的能源改造解决方案进行评分。该模型被用于预测里斯本一个历史悠久的教区的传统木结构住宅的性能。在考虑不同标准权重的数字模拟气候条件(设计场景)下,比较了不同解决方案的性能。本研究显示了将物理环境和数字环境联系起来进行建筑能源模拟的重要性,然后在分析的背景下确定一套评估标准。建筑师、环境工程师和城市规划者应该在开发设计阶段使用计算环境来确定设计解决方案,并比较它们对建筑结构和基于性能的行为的预期影响。研究的限制/意义由于当地天气数据(EnergyPlus天气文件(EPW)文件)的不可获得性、高时间资源的努力以及本研究中测试的能源改造措施的数量/类型限制了本研究的范围。在能源模拟程序中,基线通常涵盖30年、10年或5年的时间。在本研究中,由于天气数据在模拟过程中无法获得所需的格式(。EPW文件),基线中的输入数据是EnergyPlus(2022)的平均气候数据。此外,由于软件的互操作性较低,该工作流非常耗时。Grasshopper需要高技能的分析师来获得准确的结果。为了计算能量消耗的值,即模拟每天的能量值,所有每小时给出的值都是手动求和的。重量的值是通过计算所需材料的数量获得的(其尺寸由Grasshopper提供),而碳足迹的数量是每公斤材料计算的。然后将这组数据引入M-MACBETH。另一个相关的限制与本案例研究提出的改造技术有关,这些技术都是基于木纤维板。本文提出的能源模拟和气候变化适应方法可以应用于其他历史建筑,考虑不同的评估标准和基于上下文的优先级。社会影响鉴于2015年《巴黎协定》和《2030年可持续发展议程》之后预计的极端温度变化,未来几年有必要采取基于环境的建筑环境适应措施。建筑环境包括历史遗迹,它们代表着不可替代的文化遗产和社区身份的因素,需要随着时间的推移而保存下来。独创性/价值这项研究显示了利用物理和数字环境进行建筑能源模拟的重要性。在开发设计阶段,建筑师、工程师和城市规划者应该使用计算环境,根据一套性能标准对设计方案进行排名,并比较对建筑配置和基于性能的行为的预期影响。本研究集成了Grasshopper 3D和M-MACBETH。
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Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments
PurposeThe 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/approachThis 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.FindingsThis 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/implicationsThe 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 implicationsThe 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 implicationsContext-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/valueThis 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.
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来源期刊
CiteScore
4.80
自引率
18.20%
发文量
76
期刊介绍: The International Journal of Building Pathology and Adaptation publishes findings on contemporary and original research towards sustaining, maintaining and managing existing buildings. The journal provides an interdisciplinary approach to the study of buildings, their performance and adaptation in order to develop appropriate technical and management solutions. This requires an holistic understanding of the complex interactions between the materials, components, occupants, design and environment, demanding the application and development of methodologies for diagnosis, prognosis and treatment in this multidisciplinary area. With rapid technological developments, a changing climate and more extreme weather, coupled with developing societal demands, the challenges to the professions responsible are complex and varied; solutions need to be rigorously researched and tested to navigate the dynamic context in which today''s buildings are to be sustained. Within this context, the scope and coverage of the journal incorporates the following indicative topics: • Behavioural and human responses • Building defects and prognosis • Building adaptation and retrofit • Building conservation and restoration • Building Information Modelling (BIM) • Building and planning regulations and legislation • Building technology • Conflict avoidance, management and disputes resolution • Digital information and communication technologies • Education and training • Environmental performance • Energy management • Health, safety and welfare issues • Healthy enclosures • Innovations and innovative technologies • Law and practice of dilapidation • Maintenance and refurbishment • Materials testing • Policy formulation and development • Project management • Resilience • Structural considerations • Surveying methodologies and techniques • Sustainability and climate change • Valuation and financial investment
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