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Energies2019,12, 57
i.e., thebattery ischargedbytherenewableenergyso that itsfinalSOCisgreater thanthe initialSOC.
Fourth, thecostsof thesolarpanels,battery,andthePEMFCsystem(includingthechemicalhydrogen
production system, PEMFC, andNaBH4) are about 40%, 25%, and20%, respectively, for all loads.
That is, thecost distributions are almost the same for all systemsafter optimization. Finally, solar
energyprovidednearly100%of therequired loaddemandsbecause thecurrenthighcostofhydrogen
requires that thesystemavoidusingthePEMFCunlessnecessary. Thecurrentoptimalcostsare0.794,
0.660, and 0.791 for the household, lab, andoffice loads, respectively. Although the costs cannot
competewith thegridpower, thesystemprovidesaself-sustainablepowersolutionfor remoteareas
andislandswithoutgridpower. Theenergycostcanbegreatlyreducedwhenthecomponentprices
are reducedwithpopularity. Forexample, theanalyses in [33] indicated that thecriticalhydrogen
price isabout10NT$/batch (onebatchconsumes60gofNaBH4 toproduceabout150Lofhydrogen).
That is,morehydrogenenergywillbeused inanoptimalhybridpowersystemif thehydrogenprice
is less than1/15NT$/L.
Table8.Costandenergydistributions for theoptimalsystems.
House Lab Office
Dailyaverage (kWh) 19.96 30.41 22.32
Optimalcost ($/kWh) 0.794 0.660 0.791
Optimalsizes (b, s,w) (23,15,0) (27,21,0) (26,17,0)
CostDistribution(%) Lead-acidbattery 25.34% 23.50% 25.72%
Powerelectricdevices 10.59% 11.72% 11.41%
Windturbine 0 0% 0%
Solarpanels 39.72% 43.91% 40.41%
Chemicalhydrogenproduction 13.56% 10.71% 12.18%
PEMFC 7.63% 6.03% 6.85%
Sodiumborohydride (NaBH4) 3.16% 4.13% 3.43%
EnergySupply
Distribution(%) Wind 0% 0% 0%
PEMFC 1.27% 1.35% 1.36%
Solar 100.65% 100.30% 98.50%
Battery −1.92% −1.65% 0.14%
3.5. SafetyAnalyses
Theoptimizationdesigns illustrated inTables5–7werebasedonhistoricalweatherdata,where
thesolarandwindenergyco-assistedthesustainabilityof thepowersystem.Because theaimof the
hybridpowersystemis toprovideuninterruptedpower,wefurther investigated itsability toperform
inextremeweatherconditionswhennosolarorwindenergy isavailable.
Weapplied theoptimalsettings inTables5–7 to thehybridpowermodelandrecordedthe lowest
batterySOCduringthe61-daysimulation tocalculate the lowest remainingenergyandsystemsafety
byEquation (9). The results are illustrated inFigure 9 andTable 9,where the lowest SOC (stored
energy) for thehousehold, laboratory,andoffice loadswere29.99%(11.03kWh),26.04%(7.83kWh),
and27.18%(8.97kWh), respectively. Therefore, theequivalentsustainableoperationperiodsof the
systemare0.49,0.23,and0.36days, respectively, consideringtheaveragedailyenergyconsumption
showninTable3andassumingabatteryefficiencyof90%. Ifa longersustainability isrequired,wecan
adoptsub-optimalsettings. Forexample, theminimalsettingsandcosts tosustain1dayor2daysare
labeledinFigure9. Supposethesafetyrequirement is1day; then, the lowestsystemcosts toguarantee
1dayofoperationare0.8952USD/kWh,0.7603USD/kWh,and0.8735USD/kWh,respectively, for the
household, laboratory,andoffice loads. Thecorrespondingcomponentsizesare (b, s,w)= (33,26,0),
(b, s,w)= (40,24,0), and(b, s,w)= (40,17,0), respectively.
Anotherway to extend theguaranteed systemsustainability is touse the chemical hydrogen
generation system to produce hydrogen for the PEMFCas ameans of providing back-uppower.
Referring to [36], onemoleofNaBH4 cangenerate fourmolesofhydrogen, so20kgofNaBH4 can
produce4.16kgofhydrogen,whichwouldprovide63kWhofelectricity for thesystem.Therefore,
a furthersustainabilityguarantee ispossiblebystockingmoreNaBH4with theauto-batchingsystem
93
Short-Term Load Forecasting by Artificial Intelligent Technologies
- Titel
- Short-Term Load Forecasting by Artificial Intelligent Technologies
- Autoren
- Wei-Chiang Hong
- Ming-Wei Li
- Guo-Feng Fan
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2019
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-03897-583-0
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 448
- Schlagwörter
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Kategorie
- Informatik