Automated Demand Response Algorithms in the Commercial Building Sector
Biography: Despoina Christantoni graduated from Democritus University of Thrace with a Diploma in Electrical and Computer Engineering in 2009 and with a Master in Energy Systems and Renewable Energy Sources in 2011. She commenced her PhD in UCD in June 2012, within the Electricity Research Centre (ERC). Her research interests include building modeling and energy consumption, automated demand response and control algorithms.
Despoina Christantoni is funded by Program for Research in Third-Level Institutions Cycle 5 (PRTLI) and co-funded under the European Regional Development Fund (ERDF).
Project: Automated demand response algorithms in the commercial building sector as a mechanism to address electricity supply demand synchronization in a distributed flexible grid.
The project focuses on algorithm development for implementing Demand Response measures in commercial buildings. As the electricity grid faces a number of changes, demand side resources offer a potential mechanism for addressing demand-supply imbalances. The limited diversity of commercial buildings HVAC systems, their scheduled occupancy and the existence of BEMS highlight their suitability for demand management. Using a UCD campus building as demonstration site, this project investigates the feasibility of Automated Demand Response (Auto-DR) in commercial buildings. The main outcome is algorithms for commercial buildings that can respond to utility operator requirements.
Keywords: commercial buildings, automated demand response, demand response strategies, control algorithms, thermal comfort