Introducing the Intelligent Communities Lifecycle (ICL)
After a quarter of a century working tirelessly on sustainability, we have taken that knowledge to do something completely unique. Discover the ICL, a new range of digital twin technologies to help you create your own sustainable, intelligent community.
“With the ICL we can now apply sustainable analysis to communities of any size or purpose, enabling people to look at energy use holistically at a much larger scale. To do this successfully we need leaders who can lead their community and evolve these smart concepts into truly intelligent solutions which will have a measurable and lasting impact upon climate change. If each leader looks after their built environment footprint, in time, we can cover the Earth.” Dr Don McLean, IES Founder & CEO
The New Environmental Digital Twin
Citizens, Companies, Campuses, Communities, Cities, Countries
The ICL creates dynamic 3D models that reflect real life performance. Delivering resilience, cost savings and resource-efficiency for buildings, campuses, communities and cities.
- Connect, visualise and analyse any data from any source
- Fill data gaps using simulation
- Make informed decisions
- Create bespoke dashboards
Connect distributed energy networks, renewables, master plans and building design, operation and retrofit.
One Interconnected Platform
The shared central database and interconnected tools allow you to easily share data and analysis results across the platform.
Intelligent Information Models
Intelligent Community Design
Intelligent Virtual Network
Intelligent Control and Analysis
Virtual Environment
NTU Singapore
ICL technology was used across Nanyang Technological University (NTU)’s 250-hectare flagship Ecocampus to uncover over 30% potential reduction in energy consumption and S$4.75M savings.
Delivered in two phases, the project used IES’ innovative ICL technology to provide high-level visualisation and analysis of testbed energy reduction technologies on site, before delving into detailed simulation and calibrated modelling of 21 campus buildings.
