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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.
Giuseppe Desogus; Emanuela Quaquero; Giulia Rubiu; Gianluca Gatto; Cristian Perra. BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings. Sustainability 2021, 13, 4496 .
AMA StyleGiuseppe Desogus, Emanuela Quaquero, Giulia Rubiu, Gianluca Gatto, Cristian Perra. BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings. Sustainability. 2021; 13 (8):4496.
Chicago/Turabian StyleGiuseppe Desogus; Emanuela Quaquero; Giulia Rubiu; Gianluca Gatto; Cristian Perra. 2021. "BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings." Sustainability 13, no. 8: 4496.
This chapter focuses on advanced tools for transient energy simulation of existing buildings. Budget constraints often hinder the possibility of implementing large-scale retrofit projects. As a consequence, designers must work out low-cost renovation, which asks for a deep knowledge of the current state of the buildings. Furthermore, the performances of heating plants in existing buildings can be enhanced through the improvement of the control of the system. These types of retrofit actions can be carried out with a limited budget, but asks for the availability of very accurate transient energy simulation tools, which can compare the current and the renovated scenarios. On top of them, cost–benefit analyses can be developed. In this chapter, a model of a small hospital is developed in the Dymola/Modelica environment. The high flexibility of the transient simulation model and the very good agreement between numerical estimations and measurements are shown. Then, one scenario regarding enhanced regulation of the heating system by means of a customized ambient temperature control system is developed, and the expected energy savings are estimated.
Alessandro Carbonari; Massimo Vaccarini; Emanuela Quaquero. Numerical Approach for the Design of Cost-Effective Renovation of Heating System Control in Buildings. HVAC System 2018, 1 .
AMA StyleAlessandro Carbonari, Massimo Vaccarini, Emanuela Quaquero. Numerical Approach for the Design of Cost-Effective Renovation of Heating System Control in Buildings. HVAC System. 2018; ():1.
Chicago/Turabian StyleAlessandro Carbonari; Massimo Vaccarini; Emanuela Quaquero. 2018. "Numerical Approach for the Design of Cost-Effective Renovation of Heating System Control in Buildings." HVAC System , no. : 1.
Carlo Argiolas; Alessandro Carbonari; Emanuela Quaquero. Development of an Expert Model to Assess Falls from Height Hazards in Construction Sites. Journal of Civil Engineering and Architecture 2014, 8, 1 .
AMA StyleCarlo Argiolas, Alessandro Carbonari, Emanuela Quaquero. Development of an Expert Model to Assess Falls from Height Hazards in Construction Sites. Journal of Civil Engineering and Architecture. 2014; 8 (5):1.
Chicago/Turabian StyleCarlo Argiolas; Alessandro Carbonari; Emanuela Quaquero. 2014. "Development of an Expert Model to Assess Falls from Height Hazards in Construction Sites." Journal of Civil Engineering and Architecture 8, no. 5: 1.
I.A.A.R.C. - International Association for Automation and Robotics in Construction Civil Engineering
Emanuela Quaquero; Carlo Argiolas; Alessandro Carbonari; Filippo Melis. A Bayesian Model for Real-Time Safety Management in Construction Sites. ISG*ISARC2012 Full paper proceedings 2012, 1 .
AMA StyleEmanuela Quaquero, Carlo Argiolas, Alessandro Carbonari, Filippo Melis. A Bayesian Model for Real-Time Safety Management in Construction Sites. ISG*ISARC2012 Full paper proceedings. 2012; ():1.
Chicago/Turabian StyleEmanuela Quaquero; Carlo Argiolas; Alessandro Carbonari; Filippo Melis. 2012. "A Bayesian Model for Real-Time Safety Management in Construction Sites." ISG*ISARC2012 Full paper proceedings , no. : 1.