Author : Kun Zhang
Publisher :
ISBN 13 : 9781085680943
Total Pages : 148 pages
Book Rating : 4.6/5 (89 download)
Book Synopsis Model Predictive Control of Building Systems for Energy Flexibility by : Kun Zhang
Download or read book Model Predictive Control of Building Systems for Energy Flexibility written by Kun Zhang and published by . This book was released on 2018 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy needs from buildings contribute a large share to the peak demand of the electric grid. Meanwhile, buildings can also provide energy flexibility services to the grid with their related assets, e.g. energy storage. Demand Response (DR) of building systems has been considered a feasible solution to shift loads, or to reduce the peak demands. This approach is less costly and more environmentally-friendly than operating reserve power, or investing in extra power plants. DR can play a more important role for load balancing when the grid integrates with renewable energy sources, which are intermittent and variable. This thesis investigates the energy flexibility potential in buildings for the grid through simulation studies. A general methodology to characterize the building energy flexibility is proposed along with a set of indicators. The methodology is applied to a detailed building model of a typical Canadian home, which is calibrated with monthly and hourly measured data. The calibration evaluates not only the energy use required by the ASHRAE guideline 14, but also the dynamic indoor conditions, which is important to study control strategies. Simulation results, based on the calibrated model, show that the energy flexibility provided by the building thermal mass is significant, even for typical Canadian residential buildings with a low thermal mass. The amount of flexible energy however depends on the weather condition, time of day, duration of the DR event and occupancy scenario of the building. The control strategy of the space conditioning system has also a high impact on the energy flexibility. An advanced control method called Model Predictive Control (MPC) is investigated. Prior to applying the MPC method on energy flexibility study, a general supervisory MPC framework is presented. Common issues associated with modelling errors, state estimation, and parameter identification are discussed in detail. The framework is then applied to two different types of controller models : a detailed model and a simplified model of the studied building respectively. The MPC method is shown to be able to increase the building flexibility as compared to the Rule-Based Control (RBC) strategy. MPC with the detailed model delivers the highest flexible energy, twice or three times of the RBC method depending on the time of the DR event.