Digital Twin technology for decarbonising any built environment.
Integrated analysis tools for the design & retrofit of buildings.
Create a sustainable masterplan for a city, community or campus.
Optimise building performance at an individual level or across a portfolio.
Analyse the feasibility of energy network decarbonisation strategies
A customisable range of operational dashboards, portfolio management and community engagement tools.
Exceptional room & zone loads analysis for building & HVAC design.
Predict building energy consumption, CO2 emissions, peak demands, energy cost & renewable production.
All Consultancy Projects
The objectives of the EINSTEIN project were to formulate and integrate a number of state-of-the-art building control strategies to test their effect on improving the performance of buildings beyond traditional control approaches.
The three control strategies developed in the project relate to: Fault Detection and Diagnosis (FDD), Building Performance Prediction and Building Performance Optimisation.
The algorithms developed in EINSTEIN open up new and real opportunities to advance beyond classical building control approaches by deploying solutions that are “Smarter”. The key benefits of the demonstrated EINSTEIN approach are that it:
IES R&D led this project in collaboration with Trinity College Dublin (TCD).