PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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&&ElseEnd IfActPow=0ActPow = PCONDR(ICON1)*CONVAR(ICON1,2)*(SHTFLD(3,CONVAR(ICON1,1))*CONVAR(ICON1,1)- SHTFLD(3,CSVF(INOD1,1))*CSVF(INOD1,1))C Absorption chiller actual ON/OFF statePCDATF(IPCOMP,1)=IONOFFC Establish heat capacity (J/K) <strong>of</strong> the thermal masses <strong>of</strong> Node 1, CW1,C Node 2, CW2, and Node 3, CW3.CW1 = ADATA(IPCOMP,1)*ADATA(IPCOMP,2)CW2 = ADATA(IPCOMP,3)*ADATA(IPCOMP,4)CW3 = ADATA(IPCOMP,5)*ADATA(IPCOMP,6)C Establish fluid heat capacity rates for the three stream flows (W/K)C For chilled water streamC1=PCONDR(ICON1)*CONVAR(ICON1,2)*SHTFLD(3,CONVAR(ICON1,1))C For cooling water streamC2=PCONDR(ICON2)*CONVAR(ICON2,2)*SHTFLD(3,CONVAR(ICON2,1))C For hot water streamC3=PCONDR(ICON3)*CONVAR(ICON3,2)*SHTFLD(3,CONVAR(ICON3,1))C Calculate Time ConstantTC(IPCOMP)=AMAX1& (CW1/AMAX1(Small,C1),CW2/AMAX1(Small,C2),& CW3/AMAX1(Small,(C3+UA)))C Set up implicit/explicit weighting factor ALPHA (1 = fully implicit)IF(IMPEXP.EQ.1) THENALPHA=1298
ELSE IF(IMPEXP.EQ.2) THENALPHA=RATIMPELSE IF(IMPEXP.EQ.3) THENIF(TIMSEC.GT.0.63*TC(IPCOMP)) THENALPHA=1ELSEALPHA=RATIMPEND IFELSE IF(IMPEXP.EQ.4) THENCW1=0CW2=0CW3=0ALPHA=1END IFC Establish matrix equation self-coupling coefficientsC Node 1 chilled waterCOUT(1)=ALPHA*(-C1)-CW1/TIMSECC Node 2 cooling waterCOUT(2)=ALPHA*(-C2)-CW2/TIMSECC Node 3 Hot waterCOUT(3)=ALPHA*(-C3-UA)-CW3/TIMSECC Establish matrix equation cross-coupling coefficientsC Node 1 chilled waterCOUT(4)=ALPHA*(C1)C Node 2 cooling waterCOUT(5)=ALPHA*(C2)C Node 3 hot waterCOUT(6)=ALPHA*(C3)C Establish matrix equation present and known terms coupling coefficients299
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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
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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
Page 320 and 321: End IfC Calculate h3 (J/kg): h3=h2+
Page 324 and 325: C Node 1, thermal mass effected by
Page 326 and 327: WRITE(ITU,*) ' Connection(s) ',ICON
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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