Download or read book Modeling and Control in Air conditioning Systems written by Ye Yao and published by Springer. This book was released on 2016-10-01 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory. Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space 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 decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.

Download or read book HVAC Control Systems written by Chris P. Underwood and published by Routledge. This book was released on 2002-09-11 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important new book bridges the gap between works on classical control and process control, and those dealing with HVAC control at a more elementary level, which generally adopt a qualitative and descriptive control. Both advanced level students and specialist practitioners will welcome the in-depth analytical treatment of the subject presented in this volume. Of particular significance are the current developments in adaptive control, robust control, artificial neural networks and fuzzy logic systems, all of which are given a thorough analytical treatment in the book. First book to provide an analytical treatment of subject Covers all new developments in HVAC control systems Looks at systems both in the UK and abroad

Download or read book Dynamic Modeling and Advanced Control of Air Conditioning and Refrigeration Systems written by Bryan Philip Rasmussen and published by . This book was released on 2005 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Return Fan Control Modeling for Heating Ventilating and Air Conditioning Systems written by James Robert Vens and published by . This book was released on 1986 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamic Modeling Simulation and Control of Transportation HVAC Systems written by and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling and Fault Tolerant Control Developed for HVAC Systems written by Raad Z. Homod and published by LAP Lambert Academic Publishing. This book was released on 2014-07-23 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this book is to control indoor temperature and reject faults tolerant like sensor deterioration, noise, disturbance and depreciation of the plant in building air conditioning system; we propose a fault tolerant controller system (FTCS) strategy for temperature control of air-conditioning system. The set-point response controller in the FTCS is designed in terms of insusceptible with noise, failure sensor, disturbance and parameter variation with optimal performance specification. The output of system was predicted through indoor, outdoor disturbance, at last based on the mathematical model of air-conditioning space. According to the system operation requirement for faults rejection, a closed-loop for rejecting faults signals is configured. It is found that the set-point response, the disturbance rejection, the noise rejection, the robust, rejection of failure sensor and the performance of the designed FTCS are better. Therefore the residual signal can now be used to monitor faults in the system while the proposed method ensures correctness of operation. Furthermore, FTCS has achieved the desired indoor temperature, superior performance, adaptation, robustness.

Download or read book Modeling and Construction of a Computer Controlled Air Conditioning System written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: As energy efficient devices become more necessary, it is desired to increase the efficiency of air conditioning systems. Current systems use on/off control, where the unit primarily operates in the long lasting start up transients. A proposed solution is an air conditioning unit that runs continuously with active computer control implemented to maximize efficiency. The objective of this thesis is to develop a mathematical model for a specific air conditioning unit and to compare this model to measurements made on the specific unit. This model can then be used to develop a multi-input multi-output control law in the future. In this thesis, a linearized moving interface lumped parameter model is presented, and the derivation verified with great detail. The model predicts transient perturbations from a steady state operating point. The air conditioner tested in this work required several modifications including the addition of sensors and controllers. A description of the system is provided. Methods used to determine all of the parameters for the model are given with explanation. The model is simulated with computer software and compared with experimental data. Simulations predict the final value of superheat and pressures in the evaporator and condenser well for step changes in the compressor speed and expansion valve opening.

Download or read book Intelligent Manufacturing and Energy Sustainability written by A.N.R. Reddy and published by Springer Nature. This book was released on 2021-04-02 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.

Download or read book Modeling Design and Control of Partial Ice storage Air Conditioning Systems written by Mark Stanley Cummings and published by . This book was released on 1989 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book System Modeling and Identification written by Rolf Johansson and published by . This book was released on 1993 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of physical modelling and experimental issues that considers identification of structured models such as continuous-time linear systems, multidimensional systems and nonlinear systems. It gives a broad perspective on modelling, identification and its applications.

Download or read book Dynamic Modeling and Fuzzy Logic Control of a Large Building HVAC System written by Almahdi T M. Abdo-Allah and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy and cost-efficient management of a building's thermal properties requires heating, ventilation and air conditioning (HVAC) systems controllers to be working at optimal settings. However, many HVAC systems employ nonlinear time variances to deal with issues that affect the system's optimal operation. The present work considers an HVAC system at Memorial University's S. J. Carew Building which has been mathematically modeled using a state space multi-input and multi-output system (MIMO) approach for analyses and control system design. An IDA-ICE (Indoor Climate and Energy) simulation program has been applied for modeling the building, note that the four-story Carew Building includes an air-handling unit (AHU) on every floor. Compared with real data for one year's (2016) power consumption, the simulated annual power consumption for the building shows good agreement. Based on that data, two scenarios are applied for building the system models. Scenario 1 considers the HVAC system as a single unit with energy consumption (kWh) as inputs and zonal temperature and CO2 concentrations as outputs. By employing the MATLAB system identification toolbox, a MIMO-based system forms the basis for a state space model. In the model for Scenario 1, there are eight main AHU inputs (hot water power usage and power usage) and eight main outputs (return airflow temperature and CO2 levels). The state feedback controller obtains good results for both responses rise time and stability. In Scenario 2, there are four AHUs in total. Each of this scenario's AHUs features three main inputs (hot water, internal-to-internal air flow, and external-to-internal air flow) and three main outputs (static air pressure, CO2 levels, and temperature). In the first AHU (AHU1), we apply state-of-the-art fuzzy logic controllers (FLCs) to control fan speeds, CO2 concentrations, and temperature in the building in accordance with the flow rates for air and hot water. This strategy represents a novel approach for adapting FLCs by modifying fuzzy rule using the Simulink. The modified system shows improved levels of thermal comfort. The final part of the work presents the design for a supervisor fuzzy logic controller (SFLC) that can be applied to the entire S. J. Carew Building HVAC control. This SFLC features 24 inputs and 12 outputs and employs a state-space model that considers each AHU as an individual system. The SFLC detailed design and system simulation results are presented in this thesis.

Download or read book Dynamic Modeling and Multivariable Control of Vapor Compression Cycles in Air Conditioning Systems written by Xiang-Dong He and published by . This book was released on 1996 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Physical stochastic Modeling of Power System Loads written by Anil Pahwa and published by . This book was released on 1983 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamic Modeling and Global Optimal Operation of Multizone Variable Air Volume HVAC Systems microform written by Guo Rong Zheng and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1997 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy conservation and indoor environment concerns have motivated extensive research on various aspects of control of Heating, Ventilating and Air-Conditioning (HVAC) and building systems. The study on optimal operation as well as modeling of HVAC and building systems is one of the fastest growing fields that contribute to saving energy and improving indoor environment. This thesis is devoted to the development of a comprehensive modeling and optimization methodology for global multiple-stage optimal operation of HVAC and building systems. Two different dynamic models of a multizone variable air volume (VAV) system have been developed using (i) bottom-up and (ii) top-down approaches. The models take account of the dynamic interactions between building shell, VAV system components and control systems. The models describe the dynamics of fan, air distribution system, zone(s), cooling coil and primary plant (chiller) as one multivariable nonlinear system in a way that is useful for control analysis. Using the bottom-up approach a large-scale VAV system model has been developed. This model considers the interactions between flow field and thermal field via distributed capacity and variable air density considerations. An alternate model which is computationally more efficient was developed using the top-down approach. Model reduction techniques were applied to develop a reduced-order state space model of the VAV system. Results show that predictions from the reduced order model are within 5% of those from the large scale model. Optimal control schemes are developed for the efficient operation of VAV systems. In the control scheme proposed it is necessary to compute optimal setpoint profiles for local controllers. The optimal control profiles so computed can be used as tracking signals for local controllers for moving the system states from one setpoint to another. In order to determine optimal setpoint profiles an optimization methodology for formulating and solving the multiple stage optimal operation problems has been developed. The methodology is based on the maximum principle of Pontryagin and perturbation method in order to deal with the multiple time-scale of the HVAC processes and building operating schedules. A solution methodology and the corresponding computer models have been developed for solving the multiple stage optimal operation problems. The applications of the VAV model and the multistage optimization methodology have been demonstrated by considering several practical examples. The examples include (i) a comparison of optimal strategies for constant and variable air volume systems with and without time-of-day price structure for electrical energy, (ii) a two-zone VAV heating system and (iii) a five-zone VAV cooling system. Results showing the 24-hour optimal setpoint profiles, energy cost savings and the output responses such as zone temperatures and humidity ratios are given for different building operation schedules. These applications show that the developed models and optimization methodology can be used to determine energy efficient operating strategies for VAV systems without violating the thermal comfort in buildings.

Download or read book Fuzzy Decision Making in Modeling and Control written by Jo?o M. C. Sousa and published by World Scientific. This book was released on 2002 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered: ? Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.? Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.? Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.? Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems

Download or read book A Study of Model Predictive Control on Variable air volume Air Conditioning Systems written by Shui Yuan and published by . This book was released on 2007 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis proposes to apply a model predictive control strategy (MPC) to multiple-zone temperature and ventilation control in view that MPC can deal with MIMO systems and constraints on inputs and outputs systematically. The MPC-based strategy consists of two MPC controllers to handle the fast-response part of the system-AHU, and the relatively slow part-zones respectively. The control objectives are maintaining multiple zone temperatures within a range that the occupants feel thermally comfortable with, and at the same time delivering ventilation air to each zone with a flow rate no lower than the demanded level. The constraint settings are taken advantage of to manipulate the behavior of the MPC controllers in response to different working conditions. The criteria for ventilation control of a multiple-zone recirculating system according to the ventilation rate procedure of ASHRAE Standard 62 are set up and followed by the MPC strategy. A computer-based building simulator is built based on the actual parameters of a real building, and real weather data is used in simulations. A number of simulation-based experiments demonstrate that the MPC strategy achieves the design objectives and is capable of dealing with multiple zone temperature and ventilation control.

Download or read book Integration of Air Conditioning and Heating into Modern Power Systems written by Yi Ding and published by Springer. This book was released on 2019-02-07 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the integration of air conditioning and heating as a form of demand response into modern power system operation and planning. It presents an in-depth study on air conditioner aggregation, and examines various models of air conditioner aggregation and corresponding control methods in detail. Moreover, the book offers a comprehensive and systematic treatment of incorporating flexible heating demand into integrated energy systems, making it particularly well suited for readers who are interested in learning about methods and solutions for demand response in smart grids. It offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical and electronic engineering, control engineering, and computer engineering.