Prototipazione di sistemi digitali di supporto alla gestione prestazionale degli edifici

Over the past century, a vast building stock has been constructed in Europe. Today, this heritage may appear unsuitable compared to contemporary needs concerning functional and performance requirements. Managing buildings nowadays requires significant annual expenses, primarily due to their construction obsolescence, functional complexity, and large dimensions, necessitating a holistic approach that integrates economic-financial and technical-functional management within performance-based strategies. In this scenario, the digital transition, along with a heightened emphasis on performance aspects, allows for a rethinking of building management practices in terms of cost-benefit optimization. Digital management is expected to catalyze a paradigm shift in the field, fostering awareness towards knowledge-oriented decisions. However, the lack of standardized and universally accepted definitions, the vast volume and heterogeneity of data and data sources, and the uncodified approach that typically characterizes built asset management pose obstacles to digitalization in the field. As a result, implementing digital systems today is still resource-intensive, requiring significant technical, human, and financial investments and necessitating high-level multidisciplinary expertise across various domains. The study introduces BTwin, a software toolkit designed to streamline the creation of digital decision support systems (DDS) for performance-oriented building management. BTwin comprises a Python library that facilitates the integration of building data from various sources, including Building Information Models (BIM), Building Performance Simulation (BPS), and sensors, into graph networks. This integration is reinforced by semantic and ontological principles and is enhanced by the capability to present the data on interactive dashboards. The paper offers a theoretical overview of the toolkit and demonstrates an example of its application.