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 SCAN project aimed to develop a cloud-based platform that improves operational building performance by integrating BMS, AMR and other building data into performance models to optimise building operation, diagnose problems, virtually assess improvement options and ‘calibrate’ models of retrofit design.
iSCAN is a customisable web based portal and integrated data environment for Energy and Facility Managers. It provides an integrated environment for predictive and descriptive modeling of buildings and portfolios through an operational data analysis platform complete with capability for energy forecasting, simulation and optimisation via virtual experimental design.
The iSCAN web portal provides a link between AMR and BMS technology and IES’s market leading Virtual Environment (VE) desktop software. With its advanced data analysis and energy simulation tools iSCAN and the VE desktop software combine, now together with IES's other ICL tools, to provide a unique set of capabilities for monitoring, managing, and comparing building energy use over time.
From dynamic visualisation of AMR and BMS data to predictive simulation, digital commissioning and measurement & verification, iSCAN provides a range of techniques and processes for the collection, organisation, analysis and interpretation of data. It reveals patterns, problems, key variables and relationships, leading ultimately to fresh insights and better strategic FM decision making.