La Forgiatura: SRI and energy efficiency

Home / Casi Studio Energy / Bronzolo – Piano di Transizione Energetica Scarica il webinar The energy transition of buildings increasingly relies on the integration of energy efficiency, digitalisation, and intelligent building management. Campus La Forgiatura, a multi-building office complex in Milan, demonstrates how advanced technologies and innovative assessment methodologies can improve building performance while delivering measurable benefits in energy efficiency, occupant comfort, and operational management. As part of the European Smart Square project, R2M Solution assessed the campus using the Smart Readiness Indicator (SRI), the European framework designed to evaluate a building’s capability to use smart technologies to enhance energy efficiency, occupant well-being, and energy flexibility. The Smart Readiness Indicator (SRI) provides a score ranging from 0% to 100%, classified across seven performance levels. The assessment measures how effectively smart technologies are implemented compared to the building’s overall potential, considering its technical characteristics as well as the local climatic and regulatory context. This methodology enables an objective and comparable evaluation of a building’s smart readiness. Campus La Forgiatura consists of ten office buildings with a total floor area exceeding 20,000 m². The site integrates BrainBox AI, an artificial intelligence platform that autonomously and predictively optimises HVAC operations, improving both energy performance and operational efficiency across the campus. Risultati Ruolo di R2M The SRI assessment highlighted a significant improvement in the smartness level of the analysed buildings following the implementation of intelligent building management technologies. Raimondi Building Smart Readiness Indicator (SRI): from 25% to 39% +1 SRI performance class Increased technological maturity and enhanced intelligent control of building systems Operational benefits The implementation of BrainBox AI enabled the campus to: optimise HVAC operation through predictive control; automatically adapt system performance to actual occupancy and operating conditions; improve continuous energy performance monitoring; support predictive maintenance and fault detection; enhance occupant comfort; increase operational flexibility of building systems. Energy benefits Assessment period: February 2022 – August 2024 −26% reduction in electricity consumption  compared with the previous period; more than 183,000 kWh of electricity saved; approximately €45,500 in energy cost savings; additional savings resulting from reduced heating and cooling demand. R2M Solution carried out the smart readiness and energy performance assessment, using the Smart Readiness Indicator as a framework to quantify and demonstrate the impact of advanced building technologies. The work included conducting SRI assessments, providing technical support for the implementation of the BrainBox AI platform, and evaluating the effects of intelligent HVAC control strategies on overall building performance. By comparing the buildings’ performance before and after the deployment of BrainBox AI, R2M Solution quantified the operational, energy, and management benefits achieved while identifying further opportunities to improve efficiency and increase the campus’s level of smart readiness. The Campus La Forgiatura project demonstrates how combining SRI assessments with AI-driven building management technologies provides a robust framework for planning energy efficiency improvements, monitoring their impact, and maximising long-term value. The project highlights the role of smart technologies not only in reducing energy consumption and operating costs, but also in supporting more resilient, flexible, and future-ready buildings. The SRI assessment highlighted a significant improvement in the smartness level of the analysed buildings following the implementation of intelligent building management technologies. Raimondi Building Smart Readiness Indicator (SRI): from 25% to 39% +1 SRI performance class Increased technological maturity and enhanced intelligent control of building systems Operational benefits The implementation of BrainBox AI enabled the campus to: optimise HVAC operation through predictive control; automatically adapt system performance to actual occupancy and operating conditions; improve continuous energy performance monitoring; support predictive maintenance and fault detection; enhance occupant comfort; increase operational flexibility of building systems. Energy benefits Assessment period: February 2022 – August 2024 −26% reduction in electricity consumption  compared with the previous period; more than 183,000 kWh of electricity saved; approximately €45,500 in energy cost savings; additional savings resulting from reduced heating and cooling demand. R2M Solution carried out the smart readiness and energy performance assessment, using the Smart Readiness Indicator as a framework to quantify and demonstrate the impact of advanced building technologies. The work included conducting SRI assessments, providing technical support for the implementation of the BrainBox AI platform, and evaluating the effects of intelligent HVAC control strategies on overall building performance. By comparing the buildings’ performance before and after the deployment of BrainBox AI, R2M Solution quantified the operational, energy, and management benefits achieved while identifying further opportunities to improve efficiency and increase the campus’s level of smart readiness. The Campus La Forgiatura project demonstrates how combining SRI assessments with AI-driven building management technologies provides a robust framework for planning energy efficiency improvements, monitoring their impact, and maximising long-term value. The project highlights the role of smart technologies not only in reducing energy consumption and operating costs, but also in supporting more resilient, flexible, and future-ready buildings. Scarica il webinar Prodotti correlati

Bronzolo – Energy Transition Plan

Home / Energy Case Studies / Bronzolo – Energy Transition Plan The Municipality of Bronzolo represents a significant application case for local-scale energy transition planning. Within the framework of the LIFE Step-WISE project, R2M Solution supported the municipal administration in developing a Clean Energy Transition Plan, using advanced digital tools based on IES software to enable strategic, data-driven decision-making. The main objective was to assess the feasibility of a local district heating network through an integrated approach combining GIS analysis, energy modelling, and future scenario simulation. Results Role of R2M The activity led to the development of an urban energy Digital Twin of Bronzolo, capable of dynamically representing the thermal behaviour of the building stock and the local energy system. The model integrates data from multiple sources, including energy consumption, building geometries from OpenStreetMap, thermo-physical building characteristics, climate data, and information on existing infrastructure, providing a comprehensive and reliable representation of the urban context. The energy baseline identified an annual thermal demand of approximately 18,833 MWh, with only a 2% deviation from real data. Building on this baseline, several decarbonisation scenarios based on a district heating network were developed and compared. Among these, the most effective configuration proved to be a fourth-generation district heating network integrated with photovoltaic energy, enabling: – up to 70% reduction in CO₂ emissions – a significant decrease in primary energy consumption – the best long-term economic performance The model also highlighted the strategic role of the local wastewater treatment plant as a source of waste heat, which can be recovered through heat pumps to supply the network. The overall result is an integrated urban energy model capable of supporting concrete decisions for the planning of sustainable energy infrastructure. Within the Step-WISE project, R2M Solution supported the Municipality of Bronzolo in developing the energy plan through the application of a digital toolkit based on IES software. In particular, R2M Solution: – developed the urban Digital Twin using IES iCD for dynamic energy simulation at both building and district scale – applied GIS tools to map heat demand and identify priority areas – modelled and optimised the district heating network using IES iVN, evaluating different technological configurations – supported the techno-economic analysis of scenarios, providing key indicators for decision-making This work contributes to defining a replicable approach for local authorities, demonstrating how Digital Twins and advanced simulation tools can effectively guide energy planning towards more sustainable, efficient, and data-driven solutions. The activity led to the development of an urban energy Digital Twin of Bronzolo, capable of dynamically representing the thermal behaviour of the building stock and the local energy system. The model integrates data from multiple sources, including energy consumption, building geometries from OpenStreetMap, thermo-physical building characteristics, climate data, and information on existing infrastructure, providing a comprehensive and reliable representation of the urban context. The energy baseline identified an annual thermal demand of approximately 18,833 MWh, with only a 2% deviation from real data. Building on this baseline, several decarbonisation scenarios based on a district heating network were developed and compared. Among these, the most effective configuration proved to be a fourth-generation district heating network integrated with photovoltaic energy, enabling: – up to 70% reduction in CO₂ emissions – a significant decrease in primary energy consumption – the best long-term economic performance The model also highlighted the strategic role of the local wastewater treatment plant as a source of waste heat, which can be recovered through heat pumps to supply the network. The overall result is an integrated urban energy model capable of supporting concrete decisions for the planning of sustainable energy infrastructure. Within the Step-WISE project, R2M Solution supported the Municipality of Bronzolo in developing the energy plan through the application of a digital toolkit based on IES software. In particular, R2M Solution: – developed the urban Digital Twin using IES iCD for dynamic energy simulation at both building and district scale – applied GIS tools to map heat demand and identify priority areas – modelled and optimised the district heating network using IES iVN, evaluating different technological configurations – supported the techno-economic analysis of scenarios, providing key indicators for decision-making This work contributes to defining a replicable approach for local authorities, demonstrating how Digital Twins and advanced simulation tools can effectively guide energy planning towards more sustainable, efficient, and data-driven solutions. Prodotti correlati