Author : Sayani Seal
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (119 download)
Book Synopsis Model Predictive Control of Electric Building Energy and Heating Systems by : Sayani Seal
Download or read book Model Predictive Control of Electric Building Energy and Heating Systems written by Sayani Seal and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The residential building sector is a major consumer of electricity. In cold countries like Canada, heating systems contribute to a large share of the total building energy demand. Smart and efficient solutions to reduce building energy consumption are continually being explored through multi-disciplinary fields of research. This thesis focuses on the development and analysis of a central model predictive control (MPC) strategy for both comfort as well as energy management. In this work, the building simulations are done using a well-established simulation software TRNSYS (Transient System Simulation Tool) and the controllers are designed and simulated in MATLAB using standard computation routines. The thesis is conceptually divided into two parts. A simulation-based analytical study of two typical Canadian residential heating systems, namely electric baseboard heaters (BB) and hydronic radiant floor heating (RFH) systems is presented in the first part. The study focuses on the modelling and characterization of the RFH and BB heating systems, highlighting the differences between their respective heating dynamics and related effects on their performance. A closed-loop MPC is designed and implemented for indoor temperature control. Various control scenarios are simulated to study the individual and cooperative performances of the two heating systems. Two novel MPC schemes are proposed to design a collaborative heating system using RFH and BB. These cooperative control schemes, namely the Sequential and Simultaneous approaches, have the identical goal of improving the performance of the slow-reacting RFH in maintaining the indoor operative temperature within predefined bounds while reducing the energy cost. In the Sequential approach, separate MPCs successively perform the optimizations for the RFH and BB whereas for the Simultaneous approach a single MPC optimizes the two heating systems. The MPC optimization also considers a thermal energy storage unit, incorporated as a part of the RFH system, for optimal energy usage based on variable Time-of-Use rate.The HVAC system constitutes an integral part of the building energy management system. In the second part of the thesis, a novel centralized MPC based building energy management system (BEMS) is proposed. The new residential setup used here is equipped with a photovoltaic (PV) solar system and a battery storage unit. An air-to-air multi-split heat pump (HP) is used as the primary heating system. The electric baseboard (BB) unit in each zone is used as a secondary system. The MPC is simultaneously responsible for controlling the heating inputs of the HP and BB units for comfort management, as well as for the control of energy flow between the PV, the home-battery and the bidirectional grid system. Variable Time-of-Use (ToU) rates are considered for the energy cost calculation and Feed-in-Tariff (FiT) is considered for selling energy to the grid. The MPC strategy is further modified to incorporate an electric vehicle (EV). The EV is considered as an intermittently available extended battery storage unit. Uncertainties related to the EV availability schedule, home-work-home trip discharges and state of charge (SOC) of the battery are considered. A Monte Carlo based uncertainty analysis is presented to estimate the reliability of MPC performance against the disturbances introduced into the system. Performance of the MPC is studied considering EV to home (V2H) communication, in an example simulation scenario"--