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An Energy-saving Control Strategy for Multi-zone Demand Controlled VAV Systems with Optimal Control of air Handling Unit

Omidi Jeze, Hossein | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55513 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Moradi, Hamed
  7. Abstract:
  8. Nowadays, due to the increasing use of Air Handling Units (AHU) in buildings, reducing energy consumption and improving the performance of these devices is one of the most important goals of researchers in the field of heating, ventilation and air conditioning (HVAC) technology. The purpose of this project is to design an optimal control system in different parts of the Air Handling Unit in order to provide standard ambient and breathing conditions for the people. Therefore, the mathematical model of the multi-zone space and the equipment of the Air Handling Unit are studied as separate subsystems based on the laws of thermodynamics and heat transfer. The obtained equations provide a framework to describe process variables of temperature, absolute humidity ratios, and carbon dioxide (CO2) concentration in multi-zones and input variables including flow rate and temperature of chilled water, air pressure within the ducts, and the proportion of openness of inlet and outlet dampers in AHU. Next, different local controllers such as PID, Fuzzy, and Adaptive Sliding Mode are separately designed for the actuator subsystems with a specific working process. The selection of the appropriate controller for each subsystem is done by analysis and evaluation of the performance criteria of closed loop systems such as transient response behavior, value of error and robustness to noise and uncertainty. Then, by the high-level control strategies, the optimal set-points of the local controllers are calculated in specific time steps. To achieve the optimization goals, strategies of MPC, temperature reset method and demand-controlled ventilation are used as supervisory controllers. The results of the simulation of the integrated combination of control system and VAV system are presented in two parts: Air Quality parameters and consumption quantities. The proposed control system is in a much better position than control systems with less complexity, both in terms of savings and performance, with a maximum education of 30% in energy consumption and a 15% Thermal comfort factor
  9. Keywords:
  10. Air Handling Unit ; Optimal Control ; Multizone Heating, Ventilation and Air Conditioning (HVAC) Systems Control ; Supervisory Control ; Variable Air Volume (VAV)Control System ; Local Control ; Multi-Zone Buildings

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