Digital Tools for HVAC-Design, Operation and Efficiency Management

Abstract

The project BIM4EEB aims also to develop digital tools to support the design, procurement, installation, post-renovation operation, user feedback and profiling of building automation systems for HVAC. This helps supporting decision making, interaction with tenants and owners during the design, construction, and post-renovation operation phases. The development of the tools will be underpinned by a sound methodological approach. Work will include considerations of interoperability with Smart City technology of automation systems for HVAC. Specific objectives will be related to the development of the following software tools: A software component supporting the automatic generation of the layout for control systems emphasising on user preferences and including constraint checking of BAC-topologies against selected building codes. Data and information stored in BIM models are used to generate the initial recommendations and constraints and to deliver the final installation instructions. A software component allowing the seamless specification and evaluation of user comfort and systems performance. The underpinning information model will merge data sources from BIM (dimensional data) and BAC (factual data). An energy-refurbishment assessment tool, for bridging the gap between commercial simulators and the BIM management system. A user-profiling component allowing to compare expectations of tenants and owners regarding comfort and systems’ performance against monitored parameters. The results of this software component can be used in the pre- and post-renovation phases to update the content of BIM systems and thus to improve their accuracy and to reduce efforts for data acquisition and verification.

Early Stage Energy Refurbishment Assessment Tool for Buildings Using High-End BIM Data: Benefits and Challenges

“…The main aim of the BIMeaser tool is to compute the effects of different renovation scenarios on the OPRs and thus support the design team in making best decisions. Figure 1 shows the main data flow in this tool [1]. The Building Energy Simulation (BES) data model can provide data to the energy simulator.…”