Multidisciplinary Energy Assessment of Tertiary Buildings: Automated Geomatic Inspection, Building Information Modeling Reconstruction and Building Performance Simulation

Patiño-Cambeiro, Faustino; Bastos, Guillermo; Armesto, Julia; Patiño-Barbeito, Faustino

doi:10.3390/en10071032

Cited by 18 publications

(8 citation statements)

References 39 publications

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“…The two software tools that were adopted for the case studies (Autodesk Revit and DesignBuilder) were selected for their common compatibility with the Green Building XML (gbXML) data exchange scheme (Eastman et al , 2011a; Patiño-Cambeiro et al , 2017).…”

Section: Methodsmentioning

confidence: 99%

BIM framework for the specification of information requirements in energy-related projects

Sanhudo

Martins

Ramos

et al. 2020

ECAM

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PurposeThis paper aims to further the discussion on Building Information Modelling (BIM) legal requirements, providing a framework with key energy parameters capable of supporting the Appointing Party in the definition of the Exchange Information Requirements (EIR) for a BIM project appointment. The EIR is described in ISO-19650–1:2018 as a fundamental step in the information delivery cycle.Design/methodology/approachA literature review on the topic of BIM energy analysis was completed to identify current knowledge gaps and support the need for the proposed framework. Afterwards, the framework was established based on the review findings and the authors’ domain knowledge. The applicability of the proposed framework was assessed through a case study, where several energy simulations were performed in three different design stages of the same BIM model.FindingsThis study identified a lack of standards and legislation capable of supporting the Appointing Party in the definition of energy-related BIM requirements. To this end, a new framework is proposed to mediate existing practices, linking prior knowledge with BIM’s new reality. The study showcases the applicability of the framework, identifying that the performance of different energy studies involves distinct Level of Development (LOD) requirements, which in turn have an impact on the modelling time and cost.Originality/valueA BIM framework for the specification of information requirements in energy-related projects was developed to support the Appointing Party. The framework presents appropriate parameters for energy analysis in each design stage, as well as the suitable LOD for the BIM model.

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Section: Methodsmentioning

confidence: 99%

BIM framework for the specification of information requirements in energy-related projects

Sanhudo

Martins

Ramos

et al. 2020

ECAM

View full text Add to dashboard Cite

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“…Within the scientific context, several research activities have been carried out on buildings energy performance assessment, for: (i) predicting energy demand [7,10,23] and energy class [24], (ii) rating and benchmarking [25][26][27][28], (iii) individuating representative buildings for different classes of energy performance [29][30][31], (iv) characterizing the relationship between energy demand and relevant building features [32][33][34], and (v) improving existing methods, also using new model based on data mining algorithms like regression models, decision trees, neural networks, and clustering [24,32,[35][36][37][38].…”

Section: Related Workmentioning

confidence: 99%

Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates

et al. 2019

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Energy performance certification is an important tool for the assessment and improvement of energy efficiency in buildings. In this context, estimating building energy demand also in a quick and reliable way, for different combinations of building features, is a key issue for architects and engineers who wish, for example, to benchmark the performance of a stock of buildings or optimise a refurbishment strategy. This paper proposes a methodology for (i) the automatic estimation of the building Primary Energy Demand for space heating (PED h ) and (ii) the characterization of the relationship between the PED h value and the main building features reported by Energy Performance Certificates (EPCs). The proposed methodology relies on a two-layer approach and was developed on a database of almost 90,000 EPCs of flats in the Piedmont region of Italy. First, the classification layer estimates the segment of energy demand for a flat. Then, the regression layer estimates the PED h value for the same flat. A different regression model is built for each segment of energy demand. Four different machine learning algorithms (Decision Tree, Support Vector Machine, Random Forest, Artificial Neural Network) are used and compared in both layers. Compared to the current state-of-the-art, this paper brings a contribution in the use of data mining techniques for the asset rating of building performance, introducing a novel approach based on the use of independent data-driven models. Such configuration makes the methodology flexible and adaptable to different EPCs datasets. Experimental results demonstrate that the proposed methodology can estimate the energy demand with reasonable errors, using a small set of building features. Moreover, the use of Decision Tree algorithm enables a concise interpretation of the quantitative rules used for the estimation of the energy demand. The methodology can be useful during both designing and refurbishment of buildings, to quickly estimate the expected building energy demand and set credible targets for improving performance.

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“…Como pode ser observado, diversos artigos utilizaram sensores posicionados nas edificações para obter dados térmicos e também dados relativos a qualidade do ar. Além disso, diversas publicações que integraram os modelos BIM com dados reais O uso do BIM para avaliação do desempenho dos edifícios: uma revisão sistemática da literatura 2019; 14(2) 17-33 preocupavam-se com questões energéticas (FOUCHAL;HASSAN;FIRTH, 2014;WU;YANG;FAN, 2014;RONZINO et al, 2015;BOTTACCIOLI et al, 2017;PATIÑO-CAMBEIRO et al, 2017;ZHANG et al, 2014). A maioria dos artigos que escolheram essa abordagem optaram pelo uso de scanners a laser.…”

Section: Publicações Que Buscaram Integrar Bim Com Dados De Sensoresunclassified

O uso do BIM para avaliação do desempenho dos edifícios

2019

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O objetivo do presente estudo é estabelecer uma conexão entre o BIM e o desempenho das edificações, sua busca e sua avaliação, por meio de uma Revisão Sistemática da Literatura (RSL). Foram utilizadas duas bases de dados eletrônicas (Science Direct e Scopus), e foram incluídos artigos de periódicos e congressos escritos em inglês. A RSL resultou na inclusão de 79 artigos, publicados de 2006 a 2017, usados na construção do panorama BIM – desempenho. De acordo com a análise bibliométrica, o assunto em discussão vem crescendo desde 2014. Por meio da leitura dos artigos percebeu-se que existem quatro abordagens principais em que o BIM foi usado na análise de características do desempenho das edificações: um grupo de publicações utilizou as ferramentas BIM em conjunto com as ferramentas de simulações de desempenho; outros artigos discutiram sobre a interoperabilidade de ferramentas BIM e ferramentas de simulação; um terceiro grupo buscou integrar o BIM com dados de sensores; e o último grupo identificado discutiu a integração de ferramentas BIM com sistemas de classificação de construção sustentável. As quatro abordagens foram discutidas o que mostrou que o BIM está sendo usado na busca por um melhor desempenho das edificações e também na investigação do desempenho real das edificações. A primeira abordagem contou com mais da metade das publicações identificadas. Não foi possível identificar uma ferramenta de simulação predominante, seja globalmente seja por tipo de simulação de desempenho. Por outro lado, a ferramenta BIM mais utilizada, independentemente da proposta da publicação, foi a Autodesk Revit.

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Multidisciplinary Energy Assessment of Tertiary Buildings: Automated Geomatic Inspection, Building Information Modeling Reconstruction and Building Performance Simulation

Cited by 18 publications

References 39 publications

BIM framework for the specification of information requirements in energy-related projects

BIM framework for the specification of information requirements in energy-related projects

Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates

O uso do BIM para avaliação do desempenho dos edifícios

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