Source: DOE
Project
Title: Development
of an AI-based Regulatory Control for Energy Management Information Systems
Funding: $95,000 (2022-2024)
Project Partners:
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Concordia University – SEISE Lab The Sustainable Energy & Infrastructure Systems Engineering Lab (SEISE), led by Dr. Nasiri, is at the forefront of systems engineering solutions for sustainable energy applications: https://users.encs.concordia.ca/~fuzhan/ |
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EnerZam Inc. EnerZam is a global specialist in energy efficiency, commissioning (Cx), re-commissioning (RCx), M&V, automatic fault detection, diagnostics, building performance management and data analysis: https://enerzam.com/ |
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NSERC Natural Sciences Engineering Research Council of Canada |
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Project Team
The research partnership team involves a multidisciplinary academic team led by Dr. Fuzhan Nasiri (PI) at Concordia University and EnerZam team led by Mr. Mehrdad Rizi.
Project Description
There is a vital need to link data-driven models with Energy Management Information System (EMIS) and Indoor Air Quality (IAQ) control tools to leverage them in real-time settings and evaluate their effects in buildings as a whole. These effects could be occupant related (e.g., such as thermal comfort and health), climate related (e.g., energy usage and emissions), equipment related (e.g., aging of HVAC systems), and cost related (e.g., energy bills, upfront costs, sick leaves, etc.). The EMIS goal is to collect, analyze, optimize, and deliver useful information to the building operators/controls in forms of recommended adjustments, issues, and reports. This is particularly of growing importance in sensitive buildings such as hospitals, schools, and factories provided the COVID-19 circumstances. The main objective of this project is to establish R&D into the integration of AI technologies, specifically predictive analytics tasks into building information systems in order to keep the building healthy, comfortable, and energy efficient with low operating costs.