Modeling And Optimal Control Algorithm Design For HVAC Systems In .

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Modeling and Optimal Control Algorithm Design forHVAC Systems in Energy Efficient BuildingsMehdi Maasoumy HaghighiAlberto L. Sangiovanni-Vincentelli, Ed.Electrical Engineering and Computer SciencesUniversity of California at BerkeleyTechnical Report No. TechRpts/2011/EECS-2011-12.htmlFebruary 10, 2011

Copyright 2011, by the author(s).All rights reserved.Permission to make digital or hard copies of all or part of this work forpersonal or classroom use is granted without fee provided that copies arenot made or distributed for profit or commercial advantage and that copiesbear this notice and the full citation on the first page. To copy otherwise, torepublish, to post on servers or to redistribute to lists, requires prior specificpermission.AcknowledgementI would like to deeply thank my advisor, Professor Alberto SangiovanniVincentelli, for his guidance during my research and study at University ofCalifornia, Berkeley. His perpetual energy and enthusiasm in research hadmotivated all his advisees, including me. I want to express my gratitude toDr. Alessandro Pinto as well. I was delighted to interact with Alessandro byhaving him as my mentor in this project. I wouldn't be performing this workwithout Alessandro's continual encouragement and support.Above all, I want to thank my wonderful family, my parents Ebrahim andZinat, and my brothers Mehran and Mahyar, for their care, patience andendless love. This thesis is dedicated to them.

Optimal Control Algorithm Design for HVAC Systemsin Energy Efficient BuildingsMaster’s reportByMehdi MaasoumyA report submitted in partial satisfaction of therequirements for the degree ofMasters of Science, Plan IIinMechanical Engineeringat theUniversity of California at BerkeleyCommittee in Charge:Professor Alberto Sangiovanni-Vincentelli, ChairmanProfessor Francesco BorrelliSpring 2010

ii

AcknowledgementsI would like to deeply thank my advisor, Professor Alberto SangiovanniVincentelli, for his guidance during my research and study at University ofCalifornia, Berkeley. His perpetual energy and enthusiasm in research hadmotivated all his advisees, including me. His guidance helped me in all thetime of research and writing of this thesis.I want to express my gratitude to Dr. Alessandro Pinto as well. I wasdelighted to interact with Alessandro by having him as my mentor in thisproject. I wouldn’t be performing this work without Alessandro’s continualencouragement and support. He sets an example of a world-class researcherfor his rigor and passion on research.Prof. Francesco Borrelli deserves a special thank as my thesis committeemember. I was also enlightened by the informative discussions in his MPCclass and in the meetings in his research lab.I would also like to thank Prof. Masayoshi Tomizuka, Prof. AndrewPackard and Prof. Roberto Horowitz for attentively and patiently answeringmy questions. I was also honored to attend their classes at UC Bekeley.Above all, I want to thank my wonderful family, my parents Ebrahimand Zinat, and my brothers Mehran and Mahyar, for their care, patienceand endless love. This thesis is dedicated to them.iii

AbstractThis report focuses on modeling the thermal behavior of buildingsand designing an optimal control algorithm for their HVAC systems.The problem of developing a good model to capture the heat storageand heat transmission properties of building thermal elements such asrooms and walls is addressed by using the lumped capacitance method.The equations governing the system dynamics are derived using thethermal circuit approach, and by defining equivalent thermal masses,thermal resistors and thermal capacitors. In the control design part,we have introduced a new hierarchical control algorithm which is composed of lower level PID controllers and a higher level LQR controller.The optimal tracking problem is solved in the higher level controllerwhere the interconnection of all the rooms and the walls are takeninto consideration. The LQR controller minimizes a quadratic costfunction which has two quadratic terms. One takes into account thecomfort level and the other represents the control effort, i.e. the energy consumed to operate the HVAC system. There are two tuningparameters as the weight matrices for each of these two terms by whichthe performance of the controller can be tuned in different operatingconditions. Simulation results show how much energy can be savedusing this algorithm.iv

Contents1 Introduction11.1Motivation - HVAC the main energy consumer in buildings . .11.2Objective of this project . . . . . . . . . . . . . . . . . . . . .21.3Structure of the report . . . . . . . . . . . . . . . . . . . . . .22 Preliminaries32.1Heat Storage . . . . . . . . . . . . . . . . . . . . . . . . . . .32.2Heat Transfer . . . . . . . . . . . . . . . . . . . . . . . . . . .42.2.1Conduction . . . . . . . . . . . . . . . . . . . . . . . .42.2.2Convection . . . . . . . . . . . . . . . . . . . . . . . .52.2.3Radiation . . . . . . . . . . . . . . . . . . . . . . . . .6Equivalent thermal circuit . . . . . . . . . . . . . . . . . . . .82.3.1Thermal resistance . . . . . . . . . . . . . . . . . . . .82.3.2Thermal potential . . . . . . . . . . . . . . . . . . . . . 102.3.3Thermal capacitance . . . . . . . . . . . . . . . . . . . 112.33 Plant Modeling124 Jacobian Linearization24v

4.1Equilibrium Points . . . . . . . . . . . . . . . . . . . . . . . . 244.2Deviation Variables . . . . . . . . . . . . . . . . . . . . . . . . 255 Controller Design295.1Classical HVAC Control Techniques . . . . . . . . . . . . . . . 295.2Hierarchical Control Algorithm . . . . . . . . . . . . . . . . . 295.3Room level PID control . . . . . . . . . . . . . . . . . . . . . . 305.4Building-Level Linear Quadratic Regulator . . . . . . . . . . . 315.5LQR controller . . . . . . . . . . . . . . . . . . . . . . . . . . 325.6Controllability and observability . . . . . . . . . . . . . . . . . 345.7Optimal tracking problem . . . . . . . . . . . . . . . . . . . . 345.8Control Algorithm Implementation . . . . . . . . . . . . . . . 386 Simulation417 Results437.1case 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447.2case 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467.3case 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 488 Verification50vi

8.1Simscape . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509 Summary and conclusion5210 Future Work54vii

List of Figures1Mechanisms of heat transfer . . . . . . . . . . . . . . . . . . .42Heat transfer through a plane wall. Temperature distributionand equivalent thermal circuit . . . . . . . . . . . . . . . . . .93Simple three-room building with heat transfer through exterior and interior walls. . . . . . . . . . . . . . . . . . . . . . . 134Typical PID controller . . . . . . . . . . . . . . . . . . . . . . 315Block Diagram for the derived Optimal Control . . . . . . . . 386Hierarchical Control Algorithm including lower level PIDs andhigher level LQR . . . . . . . . . . . . . . . . . . . . . . . . . 397Interconnection of the Plant model, the lower level, and higherlevel controllers . . . . . . . . . . . . . . . . . . . . . . . . . . 408A detailed view of the inside of Plant and LQR blocks . . . . 419Temperature setpoint for the rooms . . . . . . . . . . . . . . . 4310Comfort Plot for case 1 . . . . . . . . . . . . . . . . . . . . . . 4511Energy Plot for case 1 . . . . . . . . . . . . . . . . . . . . . . 4512Comfort Plot for case 2 . . . . . . . . . . . . . . . . . . . . . . 4713Energy Plot for case 2 . . . . . . . . . . . . . . . . . . . . . . 4714Comfort Plot for case 3 . . . . . . . . . . . . . . . . . . . . . . 4915Energy Plot for case 3 . . . . . . . . . . . . . . . . . . . . . . 4916Thermal model in Simscape . . . . . . . . . . . . . . . . . . . 51viii

17Control Implementation . . . . . . . . . . . . . . . . . . . . . 5118Model Comparison with Constant Input . . . . . . . . . . . . 52198-Room Model . . . . . . . . . . . . . . . . . . . . . . . . . . 52ix

NomenclatureαAbsorptivity of external side of building wallsṁiMass air flow into room number i, (m3 /s)ρaDensity of air, (kg/m3 )ρwDensity of walls, (kg/m3 )AiArea of wall number i, (m2 )cp aSpecific heat capacity of air, (J/kg.K)cp wSpecific heat capacity of wall material, (J/kg.K)CriThermal capacity of air in room number i, (J/K)CwiThermal capacity of wall number i, (J/K)hiconvective heat transfer coefficient of inside air (W/m2 K)hoconvective heat transfer coefficient of outside air (W/m2 K)kThermal conductivity of wall material, (W/m.K)LiThickness of wall number i, (m)miMass of air in room number i, (kg)mwiMass of wall number i, (kg)00qradiRadiative heat flux into wall number i, (W/m2 )qintiInternal heat generation for room number i, (W )RiThermal resistance of inside air, (K/W )RoThermal resistance of outside air, (K/W )RwiThermal resistance of wall number i, (K/W )T0Temperature of heating or cooling air i, (o C)x

TiTemperature of room number i, (o C)T Outside air temperature, (o C)TwiTemperature of wall number i, (o C)ViVolume of air in room number i, (m3 )VwiVolume of wall number i, (m3 )xi

1IntroductionThe 81 million buildings in the U.S. consume more energy than any othersector of the U.S. economy, including transportation and industry, says theU.S. government [12]. Buildings account for approximately 40% of worldenergy use [13], thus contributing 21% of greenhouse gas emissions. In theUnited States alone, buildings contribute 1 billion metric tons of greenhousegas emissions [1]. With growing environmental awareness and uncertaintyin global energy markets, energy-efficient buildings hold great appeal forconsumers, corporations, and government agencies alike. According to theU.S. Energy Information Agency, homes and commercial buildings use 71%of the electricity in the United States and this number will rise to 75% by2025[4]. Homes account for 37% of all U.S. electricity consumption and 22%of all U.S. primary energy consumption (EIA 2005). This makes home energyreduction an important part of any plan to reduce U.S. contribution to globalclimate change [11].1.1Motivation - HVAC the main energy consumer inbuildingsIn 2001, building heating ventilation and air-conditioning (HVAC) systemsaccounted for approximately 30% of total energy consumption in the UnitedStates. This is greater than transportation, which accounted for approximately 28% of total energy consumption. However, the energy consumed byHVAC systems is less evident and distributed across residential, commercialand industrial sectors. HVAC systems, in particular cooling, are one of thefastest growing energy consumers in the United States. This trend startedin the 1970s, and continues today. However, much of this growth has beenoffset by gains in efficiency. There is still much room for improvement in theefficiency of such systems with technology that already exists [6].1

1.2Objective of this projectIn this project we addresses the problme of designing a new control algorithm for HVAC systems that improves the comfort level of the occupantsin buildings and at the same time consumes less energy to reach this goal.The control algorithm is a hierarchical control consisting of two level of controllers; Higher level and lower level controllers. This report presents anoptimal control algorithm that takes into account the time varying behaviorof thermal loads and operates more efficiently and more economically whilekeeping the desired comfort level.1.3Structure of the reportIn this report first we present different modes of heat transfer that affectthe temperature distribution in buildings. Then we derive the differentialequations governing the temperature distribution in walls and rooms of thebuilding using the lumped capacitance method. Then we take the systemequations into the “state space” representation and define the states, inputsand outputs of the system. All these derivations and calculations are presented in Section 3.2

2PreliminariesHere we present some preliminary material which is useful for subsequentsections and the derivations throughout the report. A reader who has agood understanding of these concepts may skip this section.Heat transmission and heat storage compose the thermal properties of abuilding. Rooms and walls are building components that can store energy.The capacity of these elements in storing energy is a function of their massand their specific heat capacity. Other than the capacitance behavior, wallsalso act as transmitters of heat as well, i.e. thermal energy can be eithertransmitted through a wall or can be absorbed by that. In the more familiarparlance of electrical engineering, heat is transferred through resistors, andstored in capacitors. In this section, we present the basic equations thatdescribe the transmission and storage of heat, and also state the notablesimplifying assumptions that we make in modeling heat transfer.2.1Heat StorageA basic property of materials is specific heat capacity cp , which is the measureof heat or thermal energy required to increase the temperature of a unitquantity of a substance by one unit. More heat is required to increase thetemperature of a substance with high specific heat capacity than one with lowspecific heat capacity. For an object with mass m and specific heat capacitycp , a rate of change of temperature Ṫ corresponds to the heat flow, denotedby Q, as shown in equation (1). In the more familiar parlance of electricalengineering, mcp is capacitance, Ṫ is the rate of change of potential and Qis current.Q mcp Ṫ3(1)

2.2Heat TransferHeat transfer takes place via the mechanisms of conduction, convection, andradiation as shown in Figure (1).conductionconvectionradiationFigure 1: Mechanisms of heat transfer2.2.1ConductionWhen there is a temperature gradient in a stationary medium, we use theterm conduction to refer to the heat transfer that occurs across the medium.Conduction may be viewed as the transfer of energy from the more energeticto the less energetic particles of a substance due to the interactions betweenthe particles [8].It is possible to quantify the heat transfer process in terms of appropriaterate equations. These equations may be used to compute the amount ofenergy being transfered per unit time. For heat conduction, the rate equationis known as Fourier’s law. For the one-dimensional plane wall shown inFigure (2.2) having a temperature distribution T (x), the rate equation isexpressed asqx kAdTdx(2)The heat qx (W ) is the heat transfer rate in the x direction and is proportional to the temperature gradient, dT /dx, in this direction. The proportionality constant k is a transport property known as the thermal conductivity(W/m.K) and is a characteristic of the wall material. The minus sign is aconsequence of the fact that heat is transferred in the direction of decreasing4

temperature. Under the steady state conditions the temperature distributionis linear, and the temperature gradient may be expressed asdTT2 T1 dxL(3)and the heat flow is thenq kA(T1 T2 )L(4)In the context of buildings, conduction occurs through solid walls thatare not in thermal equilibrium.2.2.2ConvectionThe convection heat transfer mode is comprised of two mechanisms. In addition to energy transfer due to random molecular motion (diffusion), energyis also transferred by the bulk, or macroscopic motion of the fluid. Thereforewe can describe the convection heat transfer mode as energy transfer occurring within a fluid due to the combined effects of conduction and bulk fluidmotion [8].Regardless of the particular nature of the convection heat transfer process,the appropriate rate equation is of the formq hA(Ts T )(5)Where q, the convective heat transfer (W ), is proportional to the difference between the surface and the fluid temperatures, Ts and T , respectively.This expression is known as Newton’s law of cooling, and the proportionalityconstant h(W/m2 .K) is termed the convection heat transfer coefficient. It5

depends on conditions in the boundary layer, which are influenced by surface geometry, the nature of the fluid motion, and an assortment of fluidthermodynamics and transport properties.When Equation (5) is used, the convection heat flow is presumed to bepositive if heat is transferred from the surface (Ts T ) and negative ifheat is transferred to the surface (T Ts ).2.2.3RadiationThermal radiation is the energy emitted by matter that is at a finite temperature. The energy of the radiation field is transported by electromagneticwaves (or alternatively, photons) [8]. While the transfer of energy by conduction or convection requires the presence of a material medium, radiationdoes not. In fact radiation transfer occurs most efficiently in a vacuum. Consider radiation transfer processes for the surface of Figure (2.2). Radiationthat is emitted by the surface originates from the thermal energy of matterbounded by the surface, and the rate at which energy is released per unitarea (W/m2 ) is termed the surface emissive power E. There is an upper limitto the emissive power, which is prescribed by the Stefan-Boltzmann lawEb σTs4(6)Where Ts is the absolute temperature (K) of the surface and σ is theStefan-Boltzmann constant (σ 5.67 10 8 W/m2 .K). Such a surface iscalled an ideal radiator or blackbody. The heat flux emitted by a real surfaceis less than that of a blackbody at the same temperature and is given byE εσTs4(7)Where ε is a relative property of the surface termed the emissivity. Withvalues in the range 0 ε 1. This property measures how efficiently a6

surface emits energy relative to a blackbody. It depends strongly on thesurface material and finish.Radiation may also be incident on a surface from its surroundings. Theradiation may originate from a special source, such as the sun, or fromother surfaces to which the surface of interest is exposed. Irrespective ofthe source(s), we designate the rate at which all such radiation is incident ona unit area of the surface as the irradiation G.A portion or all of the the irradiation may be absorbed by the surface,thereby increasing the thermal energy of the material. The rate at whichradiant energy is absorbed per unit surface area may be evaluated from theknowledge of surface radiative property termed absorptivity α. That is,Gabs αG(8)Where 0 α 1 and the surface is opaque, portions of the irradiationare ref lected. If the surface is semitransparent, portions of the irradiationmay also be transmitted. However, while absorbed and emitted radiationincrease and reduce, respectively, the thermal energy of matter, reflected andtransmitted radiation have no effect on this energy. Note that the value of αdepends on the nature of the irradiation, as well as on the surface itself. Forexample, the absorptivity of a surface to solar radiation may differ from itsabsorptivity to radiation emitted by the walls of a furnace.A special case that occurs frequently involves radiation exchange betweena small surface at Ts and a much larger, isothermal surface that completelysurrounds the smaller one [8]. The surroundings could, for example be thewalls of a room or a furnace whose temperature Tsur differs from that ofan enclosed surface (Ts 6 Tsur ). If the surface is assumed to be one forwhich α ε (a gray surface), the net rate of radiation heat transfer from thesurface, expressed per unit area of the surface, is00qrad q4) εEb (Ts ) αG εσ(Ts4 TsurA7(9)

This expression provides the difference between thermal energy that isreleased due to radiation emission and that which is gained due to radiationabsorption.In the context of building thermal analysis, we will ignore the radiationheat transfer among the internal walls in the building due to relative lowrange of temperatures inside the building, but we will consider the irradiationfrom the sun on the external sides of the walls in deriving the differentialequations of the temperature distribution in different walls and rooms of thebuilding.2.32.3.1Equivalent thermal circuitThermal resistanceAt this point we note that a very important concept is suggested by Equation (4). In particular there exists an analogy between the diffusion of heatand electrical charge. Just as an electrical resistance is associated with theconduction of electricity, a thermal resistance may be associated with theconduction of heat [8]. Defining resistance as the ratio of a driving potential to the corresponding transfer rate, it follows from Equation (4) that thethermal resistance for conduction in a plane wall isRt,cond LTs,1 Ts,2 qxkA(10)Similarly for electrical conduction in the same system, Ohm’s law providesan electrical resistance of the formRe Es,1 Es,2L IσA(11)The analogy between Equations (10) and (11) is obvious. A thermal resistance may also be associated with heat transfer by convection at a surface.8

Figure 2: Heat transfer through a plane wall. Temperature distribution andequivalent thermal circuitFrom Newton’s law of cooling,q hA(Ts T )(12)the thermal resistance for convection is thenRt,conv Ts T 1 qhA(13)circuit representations provide a useful tool for both conceptualizing andquantifying heat transfer problems. The equivalent thermal circuit for theplane wall with convection surface conditions is shown in Figure (2). Theheat transfer rate may be determined from separate consideration of eachelement in the network. Since qx is constant through the network, it followsthat9

qx T ,1 Ts,1Ts,1 Ts,2 Ts,2 T ,2 1/h1 AL/kA1/h2 A(14)In terms of the overall temperature difference, T ,1 T ,2 , and the totalthermal resistance, Rtot , the heat transfer rate may be may also be expressedasqx T ,1 T ,2Rtot(15)Because the conduction and convection resistances are in series and maybe summed, it follows thatRtot 2.3.2L11 h1 A kA h2 A(16)Thermal potentialAs it was discussed above, in steady state conditions we can define thermalresistances for different heat transfer modes such as conduction and convection. Accordingly, we can construct an equivalent thermal circuit to analyzethe thermal behavior of the system. It was also shown that the equationsderived here are analogous to the corresponding equations in an electricalcircuit.The other similarity that is noticed is the notion of thermal potential ortemperature in thermal circuits which is analogous to the concept of electricalpotential in electrical circuits. The temperature (thermal potential) of a pointis fixed in steady state heat transfer, while it varies with time in transientheat transfer or heat storage.10

2.3.3Thermal capacitanceIn order to analyze the transient thermal behavior of the building model, weneed to introduce the concept of thermal capacitance. During transient heattransfer the internal energy (and accordingly temperature) of the materialschange with time. Thermal capacitance or heat capacity is the capacity ofa body to store heat. It is typically measured in units of (J/ C) or (J/K)(which are equivalent). If the body consists of a homogeneous material withsufficiently known physical properties, the thermal mass is simply the massof material times the specific heat capacity of that material. For bodies madeof many materials, the sum of heat capacities for their pure components maybe used in the calculation.In the context of building design, thermal mass provides “inertia” againsttemperature fluctuations, sometimes known as the thermal flywheel effect.For example, when outside temperatures are fluctuating throughout the day,a large thermal mass within the insulated portion of a house can serve to“flatten out” the daily temperature fluctuations, since the thermal mass willabsorb heat when the surroundings are hotter than the mass, and give heatback when the surroundings are cooler. This is distinct from a material’sinsulative value, which reduces a building’s thermal conductivity, allowingit to be heated or cooled relatively separate from the outside, or even justretain the occupants’ body heat longer.In order to capture the evolution of temperature of walls and rooms weassign a capacitance with capacity C mcp to each node in the thermalcircuit. Notice that bodies of distributed mass like walls and air are considered as nodes in our modeling. This approximation is done based on someassumptions that will be reported in Section 3.11

3Plant ModelingUsing the heat transfer equations that was reviewed in Section 2, we are nowready to derive the governing heat transfer equations for the temperaturedistribution in walls and rooms of a simple building. The heat transfer andstorage equations compose a simple plant model representing a three roombuilding Figure (3). Here are the simplifying assumptions made in derivingthe equations: We assume that the air in a room has one temperature across its volume (lumped model) [7]. A more accurate model of temperature issignificantly more complex and it does not facilitate the derivation ofcontrol laws. We assume that the specific heat of air, cp , is constant at 1.007. Inreality, cp is 1.006 at 250 K and 1.007 at 300 K, so our assumptionis accurate to within 0.1% error over the range of temperatures thatwould occur in a building. All rooms are at the same pressure used in the heating and coolingducts. Air exchange between a room and vent is then isobaric, so theair mass in the room will not change in the process. We denote the airmass in the room by m and the rate of air mass entering the room, andalso leaving the room, by ṁ. Radiative heating for each building face (N , S, E, W) is an input tothe plant model. In a real building, the changing position of the sunthrough the day, and variations in atmospheric attenuation, will affectthe radiation [6]. Here due to lack of exact data for the intensity ofirradiation from the sun for a given time in a day, we use a sinusoidalinput for the sun irradiation. We ignore radiative coupling between inner building walls; as the temperature difference between pairs of walls should be small, the effectsof interior radiative coupling are likely to be minimal.For a single room, the thermal model that results from our simplifying assumptions is presented as Figure (3). Also the detailed view of room number12

Figure 3: Simple three-room building with heat transfer through exteriorand interior walls.1, coupled to its four surrounding walls, is given in detail. The temperatureof room 1 is called T1 while the temperature of the adjacent rooms 2 and 3are called T2 and T3 respectively. The thermal capacity or thermal mass ofroom i is denoted by Cri which is equal to the mass of the air in room i, mitimes the specific heat capacity of air, cp , i.e.Cri mi cpa(17)where the mass of air in each room is obtained from the following equation13

mi ρa Vi(18)Where ρa is the density of air at room temperature and Vi is the volumeof room i.As shown in Figure (3), the thermal capacity of each room is inserted inthe thermal circuit representation of the building by a capacitor, Cri whichis placed between the node representing the temperature of the room andthe ground.Notice that the temperature assigned to every node in the thermal circuitis analogous to the voltage of the corresponding node in the electrical circuit.Therefore by placing the capacitor in the mentioned location, the effect ofincrease of internal energy of the room air is reflected to the temperature ofthe room by rising the temperature of the room by T ( Q/mcp ), whichis analogous to the increase of the voltage of the corresponding node in theelectrical circuit by V q/C, where V , q and C are the increase inthe voltage of the node, increase in the electrical charge on the capacitor’splates and the capacity of the capacitor, respectively.Other than the rooms the walls are also the main elements, that affectthe thermal behavior of a building. In our simple 3-room building model,there are 10 walls which are identified by w1 , w2 , . . . , w10 . The area and thetemperature of wall i is called Ai and Twi respectively. The temperature ofthe wall is assigned to its centerline, separating the wall into two parts. Thethermal capacity of a wall which is denoted by Cwi may be defined asCwi mwi cpw(19)where the mass of wall i, mi can be obtained from the following equationmwi ρw Vwi14(20)

Where ρw is the density of the walls and Vwi is the volume of wall i whichis the area of the wall times its thickness.Now we have one node for the air inside the room and four nodes forthe surrounding walls. These nodes should be linked to each other using thethermal resistances that were defined in Section 2. having the walls separatedinto two sides, we can define the thermal resistance for conduction for bothsides of the wall. Therefore the thermal resistance for conduction for eachside of the wall can be defined asRcond,half Rw2(21)where Rw is the total thermal resistance of the wall, which can be expressed asRw LkA(22)Where L is the thickness of the wall, k is the thermal conductivity of thewall material, and A is the area of the wall.We can define thermal resistance for the convection heat transfer on bothsides of the walls by using the equations presented in section 2. Since h, theconvective heat transfer coefficient depends on the type of fluid, flow properties and temperature properties, it will have different values for the twosides of the walls depending on the factors mentioned above for each side[9].For simplicity, we only consider two different convective heat transfer coefficients, one for the internal and one for the external sides of the peripheralwalls. Notice that the internal walls have the same convective heat transfercoefficient on their both sides. We denote the internal convective heat transfer coefficient, by hi and the external convective heat

The equations governing the system dynamics are derived using the thermal circuit approach, and by de ning equivalent thermal masses, thermal resistors and thermal capacitors. In the control design part, we have introduced a new hierarchical control algorithm which is com-posed of lower level PID controllers and a higher level LQR controller.

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