BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings

Giuseppe Desogus, Emanuela Quaquero, Giulia Rubiu, Gianluca Gatto and Cristian Perra
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Giuseppe Desogus: Department of Civil Engineering Environmental and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy
Emanuela Quaquero: Department of Civil Engineering Environmental and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy
Giulia Rubiu: Department of Civil Engineering Environmental and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy
Gianluca Gatto: Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy
Cristian Perra: Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy

Sustainability, 2021, vol. 13, issue 8, 1-22

Abstract: The low accessibility to the information regarding buildings current performances causes deep difficulties in planning appropriate interventions. Internet of Things (IoT) sensors make available a high quantity of data on energy consumptions and indoor conditions of an existing building that can drive the choice of energy retrofit interventions. Moreover, the current developments in the topic of the digital twin are leading the diffusion of Building Information Modeling (BIM) methods and tools that can provide valid support to manage all data and information for the retrofit process. This paper shows the aim and the findings of research focused on testing the integrated use of BIM methodology and IoT systems. A common data platform for the visualization of building indoor conditions (e.g., temperature, luminance etc.) and of energy consumption parameters was carried out. This platform, tested on a case study located in Italy, is developed with the integration of low-cost IoT sensors and the Revit model. To obtain a dynamic and automated exchange of data between the sensors and the BIM model, the Revit software was integrated with the Dynamo visual programming platform and with a specific Application Programming Interface (API). It is an easy and straightforward tool that can provide building managers with real-time data and information about the energy consumption and the indoor conditions of buildings, but also allows for viewing of the historical sensor data table and creating graphical historical sensor data. Furthermore, the BIM model allows the management of other useful information about the building, such as dimensional data, functions, characteristics of the components of the building, maintenance status etc., which are essential for a much more conscious, effective and accurate management of the building and for defining the most suitable retrofit scenarios.

Keywords: digital twin; BIM; energy retrofit; consumption and indoor data monitoring; IoT sensor (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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