Occupancy-based buildings-to-grid integration framework for smart and connected communities

• Published in: Applied energy Vol. 219; pp. 123 - 137
• Main Authors: Dong, Bing, Li, Zhaoxuan, Taha, Ahmad, Gatsis, Nikolaos
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2018
• Subjects: buildings; Buildings-to-grid integration; cost effectiveness; electrical equipment; electricity generation; Model predictive control; Occupancy; renewable energy sources; Smart grid; temperature; thermal energy; Model predictive control; Buildings-to-grid integration; Smart grid; Occupancy
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2018.03.007

•Development of a centralized occupancy-based Buildings-to-grid Model Predictive Control (MPC) framework.•Simulation on building clusters and standard IEEE grid systems.•Findings show 50–61% cost reduction for BtG integration. Buildings-to-grid (BtG) integration simulations are becoming prevalent due to the development of smart buildings and smart grid. Buildings are the major energy consumers of the total electricity production worldwide. There is an urgent need to integrate buildings with smart grid operation to accommodate the needs of flexible load controls due to the increasing of renewable energy resources. In the imminent future, smart buildings can contribute to grid stability by changing their overall demand patterns in response to grid operations. Meanwhile, building thermal energy consumption is also maintained by building operators to satisfy occupants’ thermal comforts. However, explicit large-scale demonstrations based on a simulation platform that integrates building occupancy, building physics, and grid physics at community level have not been explored. This study develops an occupancy behavior driven BtG optimization platform that can simulate, predict and optimize indoor temperature and energy consumption of buildings, generator setpoint and deviation while maintaining acceptable grid frequency. Authors have tested the framework on two standard power networks. The results show that the integrated framework can provide potential cost savings up to 60% comparing with the decoupled operation.