Modeling and control in air-conditioning systems pdf

Modeling and advanced control of hvac systems topic. However, most previous research on building energy management are either based on the detailed physics model of buildings 5 or simpli. As a result, a dynamic model based on the movingboundary. It should be noted that overlapping of these categories is inevitable. The heater and cooler in the hvac system evaporator, condenser, compressor, etc. They explain various topics, from modeling of hvac system, its elements and building, to control on several levels of complexity. Identifying system welcome to efficient home cooling comfort congratulations on your excellent choice and sound investment in home cooling comfort. Pid control is by far the most common design technique in control systems and a useful tool for any student. This book investigates the latest modeling and control technologies in the context of air conditioning systems. The current development is focused on the development of models for building heating, ventilation and airconditioning equipment and their control systems, as opposed to the building envelope. Modeling, analysis, and state feedback control design of a. Feedback systems an introduction for scientists and engineers. Our em1 ceiling mount air conditioning evaporator has been engineered for maximum serviceability and ease of.

Model predictive control mpc of building heating ventilating and air conditioning hvac systems is a control strategy that can help buildings meet 5 many forthcoming challenges, including reducing energy consumption and carbon emissions 1, integrating with electric grid and other districtscale thermal. A number of different methods have been used in the past, and the selection of which method to use was based on the intended purpose of the simulation model. Firstly, it introduces the statespace method for developing dynamic models of all. Novel modeling and control strategies for a hvac system. Improved modeling of residential air conditioners and heat. Modelica library for building heating, ventilation and air. Modeling, identification and control of airconditioning systems.

Liub aschool of energy and power engineering, xian jiaotong university, 28 xianning west road, xian, shaanxi 710049, china bschool of human settlement and civil engineering, xian jiaotong university, 28 xianning west road, xi. With the transient nature of automotive ac systems, the. This effort resulted in a database that contained performance data on 460 ac and hp systems. Researcharticle modeling validation and control analysis for controlled temperature and humidity of air conditioning system jingnanglee,1 tsungminlin,1 andchien. Modeling and optimal energy saving control of automotive. Three typical configurations of hvac systems are analyzed. Firstly, it introduces the statespace method for developing dynamic models of all components in a central airconditioning system. For performance analysis of desiccant evaporative cooling system, a desiccant wheel model is developed in eoo program, dymolamodelica. Apply developed simulink tools with industry partners to look at system tradeoffs in cosimulation with vehicle model. The material is presented without bias and without prejudice toward particular hardware or software. In this paper, feedback controller design for the airconditioning system is addressed through systematic modeling and identification. Pdf modeling and faulttolerant control developed for. Mechanical systems for mechatronics applications 9. Mobile climate control 51 mcc reference manual 2014 v.

Park, adaptive fuzzy output feedback control for the nonlinear heating, ventilating, and air conditioning system, in proceedings of the in proceedings of the 23rd international technical conference on circuits systems, computers and communications itccscc, pp. Modeling and simulation of residential hvac systems energy. The control algorithm is a hierarchical control consisting of two level of controllers. Modeling and faulttolerant control developed for hvac systems. Review of research on airconditioning systems and indoor. Mobile climate control 52 mcc reference manual 2014 v. Application of a multivariable adaptive control strategy to automotive air conditioning systems r shah, b p. These systems mainly consist of three basic elements.

Modeling and control in airconditioning systems ye yao springer. In chapter 12, we combine the results from the second half. Modeling, identification and control of airconditioning. Some hvac systems utilize a smog sensor to close off the outside air inlet if it sniffs hydrocarbons or other bad odors. The modeling methodology can also be extended to other heat exchangers. Heating, ventilating and air conditioning hvac system is a complex nonlinear system with multivariables simultaneously contributing to the system process. Aggregated load modeling and control have been studied extensively in the. He was awarded the 20 ieee control systems society transition to practice award based on the coinvention of the adaptive scanning optical microscope asom, which was licensed to thorlabs. Motivated by these goals, this thesis presents a parametric modeling approach and a systemlevel control design for hvac systems. Aggregated modeling and control of air conditioning loads for.

Dynamic modeling and multivariable control of vapor. Carrier central air conditioner manual pdf download. Dynamic modeling and control of single and multievaporator. Heating, ventilating and airconditioning hvac system is a complex nonlinear system with multivariables simultaneously contributing to the system process. An important step in achieving better performance and higher energy efficiency is a control based model and a proper control strategy 5. Nielsen abstract this paper presents optimal modelbased control of a heating, ventilating, and air conditioning hvac system. A substantial share of the annual operating costs are due to the large amount of energy needed for heating of the ventilated air and heating of the rooms inside the buildings. Maasoumy 14 estimated a temperature model for three rooms of a building and designed an optimal control algorithm for hvac systems, where the thermal. In this chapter, we delve deeper into understanding modeling and control approaches for one of the important subsystems in an intelligent building, the hvac system. For users who want to exercise central control together with a package air conditioning system, such as an office. The models are primarily nonlinear and based on the. In this paper, feedback controller design for the air conditioning system is addressed through systematic modeling and identification.

The chapter on frequency domain design introduces many of the ideas of modern control theory, including the sensitivity function. Basically, any classical control law synthesis starts from a mathematical model of the system, usually called state model. Hvac systems are automatic systems that control temperature and. Air conditioning and refrigeration systems are extensively adopted in homes, industry and vehicles. Find materials for this course in the pages linked along the left. Modeling the operating conditions of air conditioning systems. Translational mechanical systems move along a straight line. Page 1 central air conditioner a guide to operating and maintaining your residential air conditioning unit. This series of papers is part of a project called road. Usually, the trucks idle to provide power to the air conditioning system for cabin. Temperature control the high density heat load in a computer room or other similar application is beyond the capacity of ordinary air conditioning systems. Interface kit scbikne super link adapter scadne central control scsl1ne, scsl2ne, scsl3naebe wired remote. Intelligent building control systems a survey of modern. Modeling and optimization of complex building energy systems.

An important step in achieving a better performance and a higher energy efficiency for airconditioning and refrigeration systems is a control based model and a suitable control strategy. Modeling and advanced control of hvac systems university of. Rasmussen, ag alleyne international journal of adaptive control and signal processing 18 2, 199221, 2004. Practical factors of envelope model setup and their e. An important step in achieving a better performance and a higher energy efficiency for air conditioning and refrigeration systems is a control based model and a suitable control strategy. Dynamic modeling and advanced control of air conditioning. It poses challenges for both system modeling and performance optimization. There are two types of mechanical systems based on the type of motion. Airconditioning and refrigeration systems are extensively adopted in homes, industry and vehicles. The air conditioning ac system is the largest ancillary load in passenger cars, with significant impact on fuel economy. Improving the efficiency of these systems has the potential for significant economic and environmental impact, but requires not only refining individual component designs, but. Reuse of models during operation for energyminimizing controls, fault detection and diagnostics. Nielsen abstract this paper presents optimal model based control of a heating, ventilating, and airconditioning hvac system.

The model of the ac system was derived from energy and mass conservation principles. Firstly, it introduces the statespace method for developing dynamic models of all components in a central air conditioning system. Particularly, the physical model of the system reveals the key parameter that dictates energy efficiency, and the identification procedure produces a loworder, linear model suitable for controller design. Section 3 describes the data evaluation process and highlights several issues. Dynamic modeling and advanced control of air conditioning and refrigeration systems. Control systems for heating, ventilating and air conditioning, sixth edition is complete and covers both hardware control systems and modern control technology. Improved control robustness and reject fault tolerant for building air conditioning system.

Motivated by these goals, this thesis presents a parametric modeling approach and a system level control design for hvac systems. Overview zone heat gain vav supply air sensor thermostat reheat damper zone temperature setpoint i mathematical model of the plant zone block. In this chapter, let us discuss the differential equation modeling of mechanical systems. The main function of controlled temperature and humidity air conditioning system is to make the air conditioned zone at constant temperature and humidity by applying different control strategies, so as to meet different industrial requirements, such as chemical laboratory, measuring and testing laboratory, process of hightech industry, and electronic machine room. In this paper a modeling has been applied to an airconditioning system by taking the multivariable ar autoregressive model into account by using the observed data and the simple 3input2output model for the implementation of a new practical optimal control has been constructed. The models include temperature and air flow rate models. Air conditioning ac contactor control board 1 this diagram is to be used as reference for the low voltage control wiring of your heating and ac system. Figure 1 shows that, under the control of chilled water coil, heater, and humidifier of the controlled temperature and humidity air conditioning system, the airconditioned zone is provided with appropriate energy to keep its temperature and humidity corresponding to the set conditions. Lumpedparameter modeling of an automotive air conditioning.

The former often involves tedious and complex modeling processes with a huge. Modeling and control of ahus in building hvac systems. Pdf modeling and control strategies for vav systems. The database was used to generate the necessary model inputs for each system. In this paper a modeling has been applied to an air conditioning system by taking the multivariable ar autoregressive model into account by using the observed data and the simple 3input2output model for the implementation of a new practical optimal control has been constructed. Therefore, the developed model incorporates realtime control strategies for both dehumidification and. Huh and brandemuehl 8 suggested a method for optimization of a dx air conditioning system to minimize energy with a special emphasis on the control of. For the modeling, we establish dynamical models for return air for the air handilingunit ahu of hvac systems. Optimization of heating, ventilation, and airconditioning. In order to reduce the energy consumption of ac systems, modelbased optimization and optimal control design tools can be effectively applied to design of a supervisory energy management strategy. Hrnjak acrc tr216 august 2003 for additional information. Authors describe real life application of mpc strategy for control of hvac system on university of california at merced, usa. Pdf modeling and faulttolerant control developed for hvac.

The model predictions suffer if the pdf is not modeled properly. Dynamic modeling and advanced control of air conditioning and. This book investigates the latest modeling and control technologies in the context of airconditioning systems. The definition of airconditioning is, a system for controlling the humidity, ventilation and temperature in a building or vehicle, typically to maintain a cool atmosphere in warm conditions. Particularly, the physical model reveals the key parameter that dictates energy efficiency and the identification procedure produces a loworder, linear. Modeling, analysis, and optimization of electric vehicle hvac. Request pdf modeling and control in airconditioning systems with the development of economy and growth of peoples living standards, airconditioning systems are increasingly popular for. Note some ac systems will have a blue wire with a pink stripe in place of the yellow or y wire. Modeling and optimal control algorithm design for hvac. Selecting the modeling method numerically, the most difficult part is modeling the twophase refrigerant flow circuit. It is of interest for companies to keep the annual operating cost of their buildings as low as possible.

His research interest lies in the modeling and control of dynamical systems with applications to motion control, robot manipulation, optomechatronics. Air conditioning and refrigeration center a national science. If you do not have stella, it can be obtained from high performance systems. Therefore, it is of great benefits to develop automatic, intelligent, optimal and consistent model and control tools to ensure the normal operations of hvac systems and increase the building energy efficiency. The problem of developing a good model to capture the heat storage and heat transmission properties of building thermal elements such as rooms and walls is addressed by using the lumped capacitance method. Improve model capabilities expanding on the singlephase, energy storage, and power electronics thermal models and validate. Physicsbased modeling and identification for hvac systems. As a result, a dynamic model based on the moving boundary and lumped parameter method is developed in this paper. The existing wheel models in other modeling environments lack the capabilities to handle realtime control strategies. Specifically, vapor compression systems vcs are the primary energy systems in building air conditioning, heat pump, and refrigeration systems.

In this project we addresses the problme of designing a new control algorithm for hvac systems that improves the comfort level of the occupants in buildings and at the same time consumes less energy to reach this goal. While air conditioners can differ from model to model they are available in any range from small units that can cool a small bedroom to massive units. Comfort air conditioning systems are designed for the comfort of people and simply cannot provide the kind of environment required by high performance computer or communication equipment. The feel function is described on page of this manual. New automotive air conditioning system simulation tool. Model predictive control of variable refrigerant flow systems.

Model based predictive control and statespace feedback control are applied to airconditioning systems to yield better local control, while the airside synergic control scheme and a global optimization strategy based on the decompositioncoordination method are developed so as to achieve energy conservation in the central airconditioning system. Also much of the electrical energy in the world today is created using fossil fuel or charcoal. Modeling validation and control analysis for controlled. Mathematical model of controlled temperature and humidity of air conditioning system. Modeling and control in airconditioning systems request pdf. Modelbased predictive control and statespace feedback control are applied to air conditioning systems to yield better local control, while the air side synergic control scheme and a global optimization strategy based on the decompositioncoordination method are developed so as to achieve energy conservation in the central air conditioning system. Heating, ventilation and air conditioning hvac is a mechanical system that provides thermal. Emergency function the shape and position of the emergency button may vary according to the model, but their function will be the same.

Modeling and control in airconditioning systems ye yao. Always refer to your thermostat or equipment installation guides to verify proper wiring. Over 15 billion dollars is spent on energy for residential airconditioning alone each year, and air conditioning remains the largest source of peak electrical. Over 15 billion dollars is spent on energy for residential air conditioning alone each year, and air conditioning remains the largest source of peak electrical. This report focuses on modeling the thermal behavior of buildings and designing an optimal control algorithm for their hvac systems. Modeling and optimal energy saving control of automotive air. Dynamic modeling and control of single and multievaporator subcritical vapor compression systems r. A physical model for control design purposes should be descriptive. Energy optimal control of a residential space conditioning system based on sensible heat transfer modeling has been presented in6. In this paper, feedback control design for the airconditioning system which includes the airconditioner and the indoor environment is addressed through systematic modeling and identification. Modelling and optimal energysaving control of automotive air. The models are described taking into consideration the concepts necessary for its computational implementation. Over 15 billion dollars is spent on energy for residential air conditioning alone each year, and air conditioning remains the largest source of peak electrical demand.