EINSTEIN Project: Simulation Enhanced Integrated Systems for Model-based Intelligent Control

18 Oct 2018
DBE Theatre
Digital Built Environment
EINSTEIN is a Marie Curie funded R&D project led by IES. Completed January 2018, the four year project sought to address the scientific and technical challenges related to the optimisation of energy efficiency in existing buildings. This session will share key project findings and achievements and illustrate the benefits it will bring to the building industry. The objectives of the EINSTEIN project was 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: 1. Fault Detection and Diagnosis (FDD) 2. Building Performance Prediction 3. Building Performance Optimisation The EINSTEIN strategies were tested and refined during the project for a range of demo sites and all tests carried out resulted in improved performance of the buildings in terms of energy consumption and/or cost, while critically maintaining user comfort. A sneak peak at some benefits: - Addresses complexity of modern buildings in terms of systems and dynamics, plus external factors such as weather; - Takes advantage of the technical evolution and progression in meters/sensors and smart devices to provide more building and user data at lower costs
Animesh Sourabh IES




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