PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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End IfC Calculate h3 (J/kg): h3=h2+(1-1/f)*(h4-h5)h3=h2+(1-(1/f))*(h4-h5)C From h3 calculate T3 using Cpsol=(0.0976*X**2-37.512*X+3825.4)C Calculations performed using equation from Florides G.A. et al,C "Design and construction of a LiBr-water absorption machine" 2003,C Energy Conversion and Management, 44, 2483-2508T3=h3/(0.0976*XWK**2-37.512*XWK+3825.4)C Calculate temperature at point 7 (DegC)T7=0.5*(T4 + T3)C Calculate Enthalpy at point 7 (J/kg) which is the value of theC superheated steam evaluated at the saturation conditions of Point 8C Calculations performed using equation from Florides G.A. et al,C "Design and construction of a LiBr-water absorption machine" 2003,C Energy Conversion and Management, 44, 2483-2508h7=(((0.00001*Phigh**2 -& 0.1193*Phigh + 2689& - 32.508*log(Phigh)& - 2513.2)/100)*(T7-T8)& + 32.508*log(Phigh) + 2513.2)*1000C This subsection enables the control of the absorption chillerC through Node Qi. If Chiller is off then Qi is assumed to be zero,C that is, there is no internal process going on in the evaporator andC the chiller is not absorbing any heat. It is reasonably assumed thatC if the chiller is off than there is no internal process going on inC either of the other components and therefore the external streamsC are not affected by the absorption chiller.C The other streams are then controlled through node Qi296
IF(IONOFF.EQ.0) THENQi=0ElseC For Node 1 internal process Qi (NODE1) = zmref*(h9-h10)C But, given there is no change in enthalpy in an expansion valve: h9=h8:Qi=zmref*(h8-h10)End IfIf (Qi.EQ.0)ThenQj=0Qg=0ElseC For Node 2 internal process Qj (NODE2)C Qj=zmref*(h7-h8) + (zmref*h10 + zmst*h6 - zmwk*h1)C But, given there is no change in enthalpy in an expansion valve: h6=h5:Qj=zmref*(h7-h8) + (zmref*h10 + zmst*h5 - zmwk*h1)C For Node 3 internal process Qg (NODE3)C Qg=zmwk*h3 - zmst*h4 - zmref*h7Qg=zmwk*h3 - zmst*h4 - zmref*h7End IfC Calculate COPC COP = mchi*[(Cp @ T17)*T17 - (Cp @ T18)*T18] /C mhot*[(Cp @ T11)*T11 - (Cp @ T12)*T12]IF(IONOFF.EQ.0) THENCOP=0ElseCOP= (PCONDR(ICON1)*CONVAR(ICON1,2)*&(SHTFLD(3,CONVAR(ICON1,1))*CONVAR(ICON1,1)&- SHTFLD(3,CSVF(INOD1,1))*CSVF(INOD1,1)))/&(PCONDR(ICON3)*CONVAR(ICON3,2)*&(SHTFLD(3,CONVAR(ICON3,1))*CONVAR(ICON3,1)&- SHTFLD(3,CSVF(INOD3,1))*CSVF(INOD3,1)))End IfC Calculate Actual Refrigerant PowerIF(IONOFF.EQ.0) THEN297
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University of StrathclydeDepartment
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ACKNOWLEDGEMENTSIt has been a long
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ABSTRACTThe domestic sector account
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TABLE OF CONTENTSACKNOWLEDGEMENTSAB
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2.4.3.3 Aggregated loads frequency
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4.1.1.1 Factoring for electricity g
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5.5.1.2 Present worth assuming a va
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LIST OF FIGURESFig. 1.1 Separate ge
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Fig. 2.38 Aggregated DHW draw profi
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Fig. 5.23 PP for Scenarios 1 and 2
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uilding 95Table 3.5 Control scheme
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ACRONYMS & ABBREVATIONSBMS Building
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CHAPTER 1INTRODUCTIONChapter overvi
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uildings, and Directive 2006/32/EC
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Micro-cogeneration can make use of
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offer reasonable and adequate retur
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system in a residential building, i
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conditions have on the performance
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effective manner. The research in t
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investigate how a residential micro
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Table 1.1 also includes additional
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1.7 Chapter References[1] DG for En
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[18] Pehnt, M., Cames, M., Fischer,
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[39] Cardona, E. and Piacentino, A.
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[56] Shin, Y., Seo, J.A., Cho, H.C,
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2.1 Modelling residential demand -
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minute resolution data. The researc
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2.3.1 Example: specifying the build
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Table 2.1 - Dimensions of the model
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In this second enlarged building, t
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Table 2.3 - Main characteristics of
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Table 2.4 - Main characteristics of
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esolution demand data for individua
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the original data (see equation 2.1
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the course of a year. The end resul
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specific appliance at a particular
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consumption during this period is e
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awarded on a random basis following
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Table 2.7 - Scaling factors for the
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NVF values for washing machines, el
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Table 2.10 - Annual electrical ener
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2.4.4 Creating the profiles used in
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Fig. 2.16 - Electrical demand profi
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Fig. 2.19 - High efficiency electri
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2.4.4.3 6 Household buildingAs ment
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2.29 and Figure 2.30 show the resul
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period [11].In order to improve on
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(as discussed by Richardson et al.
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similar fashion to the modelling of
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observed measurements from a number
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Fig. 2.37 - Total internal heat gai
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comparing water consumption related
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various aspects which make up the h
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natural Resources" - (LN 238 of 200
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in Domestic Appliances and Lighting
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[49] DEFRA (2010). "Dishwashers Gov
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CHAPTER 3MODELLINGMICRO-TRIGENERATI
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the same research also suggests tha
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cooling device in conjunction with
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simulation tool ESP-r by explaining
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Fig 3.2 - Basic micro-trigeneration
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3.2.3 Control strategies for the pl
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or decrease the flow rate of the co
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efrigerant, which in this case is w
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arbitrary cycle configuration, usin
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coefficients for the future and pre
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Applying basic energy and mass cons
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CH Power , the chiller’s refriger
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general form of equation (3.16) [33
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functions of hot water circuit inle
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circuit were obtained and how the p
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the internal high and low pressures
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the imaginary boundary constituting
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the model was then compared to a se
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Fig. 3.9 - Modelled chilled water c
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standard deviation was calculated t
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The selected tank size is based on
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3.5 Summary of Chapter 3This chapte
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Conservation in Buildings and Commu
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uilding simulation." Doctoral Thesi
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CHAPTER 4SIMULATIONMETHODOLOGYANDAN
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Table 4.1 - Scenarios investigatedS
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The building fabric, building size
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analysis in the case of the interme
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micro-trigeneration system are thos
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profile for that same time period (
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4.2.1.3 Calculating the fuel consum
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cogeneration technologies [16].- (4
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the present 1.088 kgCO 2 per kWh de
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Table 4.4 - Explanation of the cash
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FIT and considering the cost involv
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impact they have on the energetic,
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Conservation in Buildings and Commu
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CHAPTER 5RESULTSANDDISCUSSIONThis c
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increases so does energy-efficiency
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the building fabric is most effecti
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Instances where the load duration c
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households, GF refers to the ground
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Finally, and this will be the discu
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In the table, the low and high effi
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The scenario with the lowest number
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Comparing Figure 5.3 and 5.4, respe
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number of cycles during the cooling
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5.3.3 Chiller’s performanceAs dis
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5.3.4 Electrical performance of the
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decrease in net imports and net dem
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Table 5.10 - Micro-trigeneration sy
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trigeneration system primary energy
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Table 5.11 - Micro-trigeneration pr
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The PES obtained for the different
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Difference inprimary energybetween
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Similar results are obtained for al
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2 High/High efficiency3 High/Curren
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Fig. 5.8 - Sensitivity of Emissions
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Similarly to the effect on PE SEPAR
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5.5 Micro-trigeneration system econ
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As electricity costs increase (rela
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ii.In the latter case the magnitude
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Resultingdifference incash flowDiff
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Multiple of current electricity tar
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of the system diminishes with incre
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Fig. 5.17 - CF and CF component ter
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shows that exporting all the cogene
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LPG price level when the micro-trig
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Minimum threshold viability of the
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Similarly to the PW and the IRR, it
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Table 5.13 - Summary of micro-trige
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performance of the micro-trigenerat
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directly affect the system’s ener
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micro-trigeneration system. Convers
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CHAPTER 6CONCLUSION:OUTCOMESANDFUTU
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and power demands of the building.
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circuits associated with the absorp
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the subject. More work therefore ne
Page 270 and 271: plant models using the building sim
Page 272 and 273: APPENDIX AEquation factors for sele
Page 274 and 275: Factors for use in equation (2.1) f
Page 282 and 283: APPENDIX BElectrical demand profile
Page 284 and 285: Fig. B4 - Current efficiency electr
Page 286 and 287: Fig. B10 - High efficiency electric
Page 288 and 289: Fig. B16 - Current efficiency elect
Page 294 and 295: Component ESP-r Database: Annex 42
Page 296 and 297: 0.0000 #88 Performance map: Thermal
Page 298 and 299: 99.999 #1 Evaporator Total Mass (Fl
Page 300 and 301: 100.00 #13 Boiling temperature of f
Page 302 and 303: One way to solve a partial differen
Page 304 and 305: The ‘self coupling term’ is def
Page 306 and 307: C ******************** CMP73C *****
Page 308 and 309: &COMMON/PCOND/CONVAR(MPCON,MCONVR),
Page 310 and 311: C and the inlet point into the solu
Page 312 and 313: IF(CSVF(INOD1,1).LE.BDATA(IPCOMP,17
Page 314 and 315: C Calculate T1 (DegC): T1 = ((T16-T
Page 316 and 317: XST=4010 DST=-(9.133128) + (0.94396
Page 318 and 319: & + 2500.559)*1000C Refrigerating p
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Page 324 and 325: C Node 1, thermal mass effected by
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Page 328 and 329: Fig. F.1 - IRR for scenarios with d
Page 330 and 331: Fig. F.5 - PP for scenarios with di
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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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