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Energy and Buildings 67 (2013) 7078
Contents lists available at ScienceDirect
Energy and Buildings
j ourna l ho me pa g e: www.elsev ier .com
Electricity cost saving comparison due to tariff chstorage (ITS)
usage based on a hybrid centrifugalbuildin tiv
Mohamm a,Ghazali Ta Faculty of Engb Asset and Ma alaysia
a r t i c l
Article history:Received 24 JuReceived in reAccepted 5 Au
Keywords:Electricity chaCost savingDistrict cooling systemTariff
structureIce thermal storage
ct cooed. Inumidrawakoling ty cha
with and without ice-thermal storage (ITS) systems on the
buildings were investigated. It was found that,due to the local
tariff status, marginally saving can be achieved in the range of
0.083.13% if a new tariffis adopted; and a total of further saving
of 1.262.43% if ITS is operated. This marginally saving is
mainlydue to the local tariff conditions and lower local
temperature range (T) which are less favorable ascompared with
those reported in the literature elsewhere.
2013 The Authors. Published by Elsevier B.V.
1. Introdu
The builtions, i.e., bu(occupants)use due to time [1]. Fois due
primeither for hcooling sysing systemdemand whThe advantwith
indiviothers:
CorresponE-mail add
(M.O. Abdullah
0378-7788 2http://dx.doi.o
Open access under CC BY-NC-ND license.ction
ding industry involves two kinds of energy applica-ilding
construction application, and post-constructions
application. The latter consumes much of the energythe energy
consumption over a period of much longerr modern buildings, one of
the notable energy usagesarily to the electrical-driven air
conditioning systems,eating or cooling. For bigger system such as
districttems (DCS) application, higher capacity of the cool-s are
necessary due to the higher cooling or heatingich necessarily incur
enormous electrical energy costs.ages of DCS systems in huge
building areas compareddual air-conditioning unit systems are many,
among
ding author. Tel.: +60 82 583280; fax: +60 82 583409.resses:
[email protected], [email protected]).
Economical advantages: The DCS have overall lower total
capitalcost compared to the split cooling that require their own
coolingequipment(s) [2,3].
Space conservation: The space required for cooling
equipment(s)can become vacant for other purposes for a district
cooling sys-tems [2,3].
Noise reduction: The noise that produced by the cooling
machinescan be avoided in the consumer buildings [2].
Flexibility: The DCS systems also exible to employ a widerange
of inter-related thermal storage technologies such as
co-generation, tri-generation, and thermal energy storage
(TES)[2,3]. The present paper is primarily concerning with the
TESstorage technique.
In respect of energy usage, it was reported that thermal
energystorage (TES) not only dramatically reduces the use of
peak-periodhigh cost energy; it can also reduce the total energy
usage by asmuch as 13% [4,5]. The United State Department of Energy
reportedthat many ice storage applications can result in lower rst
costand/or with higher system efciency as compared to
non-storagesystem [6]. This is because ice-storage allows
downsizing of theconventional chiller system [3,7], the resulting
cost savings maysubstantially or entirely cover the added
incremental cost of thestorage system [7]. MacCracken [8] pointed
out that since thermal
013 The Authors. Published by Elsevier B.V.
rg/10.1016/j.enbuild.2013.08.008
Open access under CC BY-NC-ND license.gs: A university district
cooling perspec
ad Omar Abdullaha,, Lim Pai Yii a, Ervina Junaidiambia, Mohd
Asrul Mustaphab
ineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan,
Sarawak, Malaysianagement Division, Universiti Malaysia Sarawak,
94300 Kota Samarahan, Sarawak, M
e i n f o
ne 2013vised form 3 August 2013gust 2013
rge
a b s t r a c t
In this paper, the case study of a distri(lat: 0129; long:
11020E) is presentaround 3235 C coupled with high hcharge for the
Universiti Malaysia Samonth. In this paper, a few district coorder
to minimize the overall electrici/ locate /enbui ld
ange and ice thermal-ITS system fore
ling system of a university located in a South East Asia region
general, the university has high peak ambient temperature ofity of
about 85% during afternoon period. The total electricity
Campus is very high amounting to more than $314,911 perschemes
are investigated to provide what-if analysis and inrges. Few
scenarios designed for the application of centrifugal
-
M.O. Abdullah et al. / Energy and Buildings 67 (2013) 7078
71
Nomenclature
C1 commercial 1C2 C3 CAIS CH DCS FCST MEP MIS N/A S1 S2 S3 SESCO
UNIMAST
MeasuremC m2
RM % RT unit $
storage metcost for powwill be reduto non-peak(1) in the ncient
than dnight time b
Results fshows an evical major Cas 10% and
Sebzali abuilding in dition. Theythe AC systearound 40%to the
advabetween daenergy cost
A hybridErwin Middto able to sof the contlow-interesby
completproject usescept with astorage systby carefullywhere the
coperation anormal con
Morgan a school wThey investsystems to
building energy costs. The set point temperature during
theoccupied periods from 8:30 to 17:00 was at 24 C and 32 C
duringunoccupied periods. A 50 ton scroll compressor operates
duringthe night (from 02:00 to 08:00) and charges three ice-tanks
with
capa. Thebe s
is duptio
to beplicanome of ctricny gaowev
sysive tirderotentvestiIn thS simancd un
factof thund
capenerattran theorin
tarig thhen tructm cig coy, ancommercial 2commercial 3Centre
Academic and Information Serviceschillerdistrict cooling
systemFaculty Resource Science and Technologymechanical and
electrical plantmain intake supplynot availableScenario 1Scenario
2Scenario 3Sarawak Electricity Supply Corporation
Universiti Malaysia Sarawakambient temperature difference
ent unitsdegree Celsiusmeter squareRinggit
Malaysiapercentrefrigerant tonkWh (kilowatt-hour)US dollar
(USD)
hod operate at full load during the night time, the fuelering
the ITS plant during the night (non-peak hours)ced, as the cooling
demand is shifted from peak hours
hours. The two main reasons for the saving are thus:ight, the
base load plants are much more energy ef-aytime plants; and (2)
line losses are less during theecause much less power is
transmitted at night.rom the study by the California Energy
Commission [9]en higher energy saving potential gures, for two
typ-alifornia utilities with energy usage reduction as much
a totalsystemcould savingconsum
It isTES apan ecoMosquing elehave aegy. Hstorageincent
In oness pwas inKong. TRNSYperformgies, andesigntance oThey
fostoragebetter is not shorteneighbportingapplyinonly wtariff s
Frofavorincountrcan up to 30% has been reported [9,10].nd Rubini
[10] had conducted an investigation in a clinicKuwait, which has
hot climates with long summer con-
found out, via computational modeling analysis, thatms consume
around 61% of the peak electrical duty and
of the total electricity consumption. The saving is duentage of
hot climate and huge temperature differencey and night time,
considerably long summer and lows in Kuwait.
chilled water/ice thermal storage plant for the Lucilele School
in Colorado, United State, has been reportedave more than $18,000
in energy costs annually. Oneributing saving factors reported is
due to the offer oft nancing from the local Florida power
authority, andely eliminating chiller demand from the utility bill.
The
a exible ice thermal storage management system con- demand
limit-controlled, chiller priority, and partialem. This ice storage
system optimized energy efciency
avoiding electrical demand peaks caused by the
system,hiller/storage match is designed for continuous chillert
about 6 C chilled water supply temperature underditions [11].and
Krarti [12] reported a TES application study onith total small oor
area of 65,000 ft2 (6038.7 m2).igated the inuences of using active
and passive TESshift the peak cooling loads to the nights to
reduce
Generally, tregions whtemperaturutility compthat incorp
The preearlier in 2parametersdistributionhowever, isaims to
seeto the followchange andcation scenand most reyear, i.e. 20
2. The UNI
Universirahan of SarCampus) inpus is approtime (Fig. 1hot
tropicacity of 570 tons/h using the internal melt ice-on-coily
found that around 47% of the annual electricity costaved by
employing the TES systems. This huge coste to the incentive utility
rate of $0.0164 kWh1 as a atn rate and a demand charge of $11.24
kW1.
noted that not all the literature came up with favorabletions.
Habeebullah [13], for instance, had conductedic feasibility of
using the huge ITS system in the GrantMakkah, the results of which
show that as the exist-ity rate is xed at $0.07 kWh1, the ITS
system does notin neither for the partial nor for the full storage
strat-er, the author indicated that by employing the energytem via
full load storage strategy combined with anme structured rate, the
electricity cost could be reduced.
to evaluate the energy performance and cost effective-ial, a
feasible district cooling with ice-storage systemgated by Chan et
al. [14] for a hypothetical site in Hongeir works, a parametric
study employing DOE-2 andulation software was conducted to evaluate
the systeme at different partial storage capacities, control
strate-der three different tariff structures. Other than the
basicrs, the results from 27 cases studies showed the impor-e
tariff structure, the capital cost and electricity costs.
out that the district cooling plant with about 40% ice-acity and
chiller-priority control sequence can providegy performance.
However, the saving in electricity costctive. The authors further
suggested that in order to
payback period, the power supply must come from theg region that
provides lower electrical charges and sup-ff structure. This also
implies that there is a potential ofe integrated technology in the
South China region butthe investment becomes favorable and with
supportingure.ted literature and experiences obtained
elsewhere,nditions of TES applications can vary from country tod in
fact region to region, due to numerous factors.he usage of
ice-thermal technology has been higher inere a signicant day and
night-time differential in bothe, in the lower price of electricity
exists, and with someanies provide cash incentives or rebates to
developers
orate TES schemes.sent study is an extension of previous work
reported007 [15]. The previous work briey investigated some
inuencing the DCS performance, in particular cool air, chiller
capacity, and occupant behavior. This paper,
an extension of the previous work. The current studyk on the
overall district cooling saving possibilities dueing two
application aspects, viz. (1) the effects of tariff
(2) the effect of ITS usage. For that purpose, few appli-arios
are given for comparison. Due to the completenesscent data
available, the authors have chosen a typical11 for the
analysis.
MAS district cooling system
ti Malaysia Sarawak (UNIMAS) is located in Kota Sama-awak. By
completion of new campus (or known as West
the year of 2005, the total build-up area of the new
cam-ximately 223,619 m2 and keep expanding from time to). With the
location at equatorial climate which providel weather basically on
365 days per year with average
-
72 M.O. Abdullah et al. / Energy and Buildings 67 (2013)
7078
Fig. 1. D
temperaturwas installefortable envcooling sysdistrict cooarea
and thMost of thetem that esfrom mechaundergrounend of 2011for
cooling chillers fromtan (RT).1 Uof eight cenwith total 9were used
fwith ice thedirectly to bplished by replace theof heat tranassist
in trachillers andas well as
1 Anyhow, itheir individuabuilding, the ris not econommidnight.
Apalike Faculty Realso having th
-
0,000
1,00 0,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
4,000,000
4,500,000
5,000,000
W
Elec tricit y Consu mption (per half hour) vs Time
lectri 2011)
utingve thhe elache
5]), thgatetricitugal-S cae frositysolinThe ptio
re ar, CH00 RT
funcistrict chilled water distribution pipeline for DCS in
UNIMAS.
e of 2535C during daytime, air conditioning systemd in almost
all of the building spaces to provide com-ironment for both
students and staffs [15]. The main
tem which is selected to install in this new campus is
50
Fig. 2. E(August
distribnot hapeak. Tsive, reRef. [1investiall
eleccentrifUNIMApipelinunivertrict CoFig. 2. consum
The400 RTCH6-8chillerling system (DCS) due to the extremely huge
built-upe potential to expand in future depend on demand.
buildings are operating with the air-conditioning sys-sentially
sharing the cooling from the same resourcesnical and electrical
plant (MEP) with the piping buriedd for distribution. There are a
total of 15 facilities (as) in the compound which were using the
same resourcespurpose. The total cooling capacities supplied by
base
MEP reached up to approximately 8000 refrigerantp until December
2011 in the MEP, there are a totaltrifugal chillers with total 8500
RT, two brine chillers00 RT, and also 10 cooling towers of total
14,000 RTor provide heat rejection. Brines chillers are
connectedrmal storage; while centrifugal chillers supply
coolinguildings by chilled water. The heat rejection is accom-using
cooling towers with makeup water tank as to
evaporated water in cooling towers. For effectivenesssfer, heat
exchangers and pumps also use in MEP tonsporting the cooling to
buildings. However, the brine
the ITS are just for backup and not in operating so far,heat
exchanges which used to assist brine chillers in
t is to be noted that there are few other standalone buildings
havingl cooling systems, for instance the Centre of Information
Study (CAIS)equirement of which is to operate 24 hours per day due
to which itical for the MEP to supply cooling just for the CAIS
building alone atrt from that, some buildings which are located too
far from the based,course Science and Technology (FRST) external
laboratory buildingeir individual cooling equipments.
(facility). Thto chargingWhile for thtotal of 14,0to replace
tare one expthat, there (two units able at the loop used istrifugal
chiNevertheleeach consumcentral planing is differis supply vithe
central brine chillesystem andrequired tounits distrialso used
tointo the folchiller systeconsists of exchanger sing
system)throughoutchiller plac0 10 0 20 0 30 0 40 0 50 0 60 0 70 0
80 0
hr
MIS
MEP
city consumption of the district cooling system for a typical
month. MIS, main intake supply; MEP, mechanical and electrical
plant.
. This is mainly due to the fact that the current tariff doese
different charging rate provision for on peak and offectricity
charge of UNIMASs new campus is very expen-d more than $314,911 or
more per month (data fromus in the present work, some feasible
study are seek to
the effects on the use of different tariff in reducing over-y
cost; and to estimate the how much saving if a hybridthermal
storage system is used instead. Fig. 1 shows thempus layout plan
illustrating the district cooling waterm the Mechanical Electrical
Plant (MEP) throughout the
campus. The total electricity consumption of the Dis-g System
for a typical month (August 2011) is given inMEP only consumed
about 34% while the rest of then goes to the main intake supply
(MIS).e eight centrifugal chillers with total of 8500 RT
(CH1-2-1300 RT, CH3-1300 RT, CH4-1300RT, CH5-800 RT,, CH7-1300 RT,
and CH8-1300 RT), the centrifugaltion as supply direct cooling to
consumer buildingsere are also two brine chillers in the MEP which
used
the ITS (7000 RTh) with total of 900 RT (450 RT each).e heat
rejection system, ten units of cooling towers with00 RT (1400 RT
each) applied in central plant. Between,he evaporated water inside
the cooling towers, thereansion tank and two make up tank used.
Apart fromare also three heat exchangers with a total of 1800
RTwith 450 RT each and another one with 900 RT) avail-MEP which
support the brine chiller and the ITS as the
different with that of the direct cooling supply by cen-ller,
hence the heat exchanger is become an essential.ss, there is also
some quantity of heat exchangers insideer buildings which function
as receive cooling from thet. The capacity of the heat exchangers
for each build-ent depending on the cooling load received. The
coolinga the pipe buried underground which connected fromplant to
each buildings. The ITS facility comprises of ar system, an ice
thermal storage (Fig. 3), a cooling tower
a heat exchanger system. It generates chilled water meet the
cooling load demand for various air-handlingbuted in the buildings.
Besides, the brine chillers are
generate ice for the thermal storage plant. It is dividedlowing
5 sections, i.e. (1) brine chiller system, (2) basem, (3) cooling
tower system, (4) thermal storage systemone ITS and associated
motorized valves, and (5) heatystem. The chilled water system
(central air condition-
is networked to have multiple cooling coils distributed the
large distributed buildings with the refrigerationed at one base
central location.
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M.O. Abdullah et al. / Energy and Buildings 67 (2013) 7078
73
Fig
In the prencing the distributionhowever, isstudy of thethe
overall investigatedmost receni.e. 2011 for
3. UNIMAS
The maipus, the elecas main intaity requireddemand,
ansections.
3.1. Monthl
Fig. 4 shoyear 2011 wincrement throughout2011 due toin
particula
3.2. Monthl
Table 1 during Monoccurred dumaximum dlic holiday
0.00
,000 .00
,000 .00
,000 .00
,000 .00
,000 .00
,000 .00
700,000 .00
800,000 .00
900,000 .00Demand Charge ($) Usage Charge ($) Tota l Charge
($)
istrib
um 201
ethod
hugee dampuMEPr 201lectritricid ch. Sin
comence ent the pr
off-d th. 3. The ice thermal storage (capacity rated at 7000
RTh).
evious work as reported in [15], many parameters inu-DCS had
been briey covered which includes cool air, chiller capacity, and
occupant behavior. This paper,
an extension of the previous works which is a detail changing of
tariff effect as well as the ITS application tosaving
possibilities. Few application scenarios are also. For that purpose
and due to the completeness and
t data available, the authors have chosen a typical year,
100
200
300
400
500
600
Char
ge
($)
Fig. 4. D
maximof year
3.3. M
Theysis. Thnew caplant (for yealocal e
Elecdemanchargeused tocondrepres
In tduringdeduce the analysis.
electricity charge for year 2011
n target of the present analysis was UNIMAS new cam-tricitys
main intake for UNIMAS new campus is knownke supply (MIS) which
supply majority of the electric-. Monthly electrical consumption,
monthly maximumd electrical charge are described in the following
sub-
y electricity consumption
ws the monthly electricity consumption of UNIMAS forhich was
essentially increasing over the months. The
was reasonable due to the increasing of built-up area year 2011.
But there were exception for JuneAugust
semester break period where most of the occupants,r the
undergraduates are out of the campus for holiday.
y maximum demand
show that monthly maximum demand only occurredday to Thursday.
In detail, maximum demand onlyring ofce hour period. Hence, it can
be deduced thatemand was impossible to occur on weekend and pub-due
to decrease of occupants and overall usage. The
to energy sabenet of othat with a to 06:00 h),to the fact
tthermal sto
4. Results
Computhybrid opertively.
4.1. Compu
4.1.1. ApplyIn year 2
MEP centrathe electricout of total equipmentcooling equincluded
in
There arUNIMAS is In order to C3, the incrJan Feb March April
May Jun e July Aug Sept Oc t Nov Dec
Month
ution of usage charge, demand change and total charge for year
2011.
demand was increased when getting toward the end1, thus the
increased of total electricity charge.
ology and data analysis
data is collected for the project and enable further anal-ta
includes: (1) monthly electrical charge for UNIMASss (MIS); (2)
monthly electrical consumption of central); (3) electricity
consumption of UNIMASs new campus1 and schedule of tariff both of
which is available fromcal service provider.ty charge of MIS can be
divided into usage charge andarge to nd the opportunity to decrease
the electricityce huge number of data is involved, Microsoft Excel
ispile and analyze the data sets. Standard deviations withinterval
of 95% (Error bars with 5% errors) were used tohe distribution of
the data.esent study, ice storage tank only chosen to be
operatingpeak hour. This is because, from the literature, manyat
ice thermal storage not really economical in regardving, but cost
earning primarily from the tariff structuren-peak and off-peak
hour. In this study, it is assumedtotal daily charging period of 6
h (off peak is from 00:00
the ice tank only able to discharge for about 5.5 h, duehat many
literature predicted losses of around 10% forrage.
and discussion
ation of electrical charge and effect of ITS usage on theating
system is discussed in Section 4.1 and 4.2, respec-tation of
electricity charge
ing different tariff structure011 an average of 39.54%
electricity was contributed byl plant alone. As for the overall
air-conditioning system,ity consumed by the system will be more
than 39.54%consumption, since MEP only generate the main coolings.
While the other components like split units, individualipments, air
handling unit, fan coil unit, etc. was not
the 39.54% gure.e three tariffs available for UNIMAS as listed
in Table 2.applying tariff C2 currently (including year 2011)
[16].take advantage from converting from tariff C2 to tariffement
of maximum demand charge should overcome
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74 M.O. Abdullah et al. / Energy and Buildings 67 (2013)
7078
Table 1Occurrence of maximum demand for year 2011.
Date Day Time Maximum electricity consumedper half hour (kW)
January 04-01-2011 Tuesday 09301000 4233.976February 23-02-2011
Wednesday 14301500 4222.604March 16-03-2011 Wednesday 11001130
4387.816April 28-04-2011 Thursday 15301600 4627.604May 10-05-2011
Tuesday 16001630 4590.928June 27-06-2011 Monday 16001630
4452.476July 26-07-2011 Tuesday 09301000 4356.732August 04-08-2011
Thursday 09000930 4441.456September 14301500 4765.392October
08300900 4989.480November 15301600 5217.680December 09000930
5574.548
Average 4655.06
Table 2Tariff structur
Tariff C1 coFor the rFor the neFor each a
Tariff C2 coFor each k
per monFor each u
Tariff C3 coFor each k
month dFor each uFor each u
Note: 1 RM = $
Table 3Savings regard
Tariff C1 tTariff C2 t
by earning fapplying taguity. HencSESCO is es
Appendimonth whiAppendix Biffs as well the Sarawathat total
sayear 2011 bof the calcuthe actual tvery close athat there wtariff
C2 to by switch fr
Table 4Percentage of
Tariff Pe
C1 10C2 8C3 8
le 4 shows that applying tariff C3 will lead to decrement intage
of usage charge, but increment in percentage of maxi-emand charge.
Hence, if applying tariff C3, it is importancemore effort in order
to decrease the maximum demand duehigh
Equaend1 to he ste bo
ana15-09-2011 Thursday 04-10-2011 Tuesday 16-11-2011 Wednesday
01-12-2011 Thursday
e available for UNIMAS.
Rate per unit
mmercialst 100 units per month RM0.40 ($0.124)xt 4900 unit per
month RM0.34 ($0.101)dditional unit per month RM0.30
($0.093)mmercial demandilowatt of maximum demandth
RM16.00 ($4.96)
nit RM0.25 ($0.078)mmercial peak/off-peak demandW of maximum
demand per RM20.00 ($6.200)
Tabpercenmum dto put to the
4.1.2. App
tariff CIn t
calcularelateduring peak periodnit during the peak period RM0.25
($0.078)nit during the off-peak period RM0.144 ($0.045)
0.31 (exchange rate as per 15 July 2013). $ refer to US
dollars.
to tariffs for year 2011.
Cost saving
ariff C2 $136,632ariff C3 $49,272
rom off peak period. By referring to electricity bill whenriff
C2, the usage for off peak period is somewhat ambi-e, the detail
data obtained from the electricity provider,sential.x A shows an
example of calculation on a specicch is August 2011 for different
type of tariff structures.
shows the calculated total charge for three different tar-as the
reality charge for tariff C2 which obtained fromk Electricity
Supply Corporation (SESCO). Table 3 showving of $50,052.37 (RM
158,941.32) can be obtained fory applying tariff C3 rather than
tariff C2. The accuracylation was considered high due to the
calculated andotal electricity charge for year 2011 with tariff C2
weres $1.92 (RM6.11) whole year. Besides, Table 3 showsas more
saving from tariff C1 to tariff C2 compare to
C3. This means that UNIMAS had made a smart choiceom tariff C1
to tariff C2 many years ago.
usage and demand charge for year 2011.
rcentage of usage charge (%) Percentage of demand charge (%)
0 N/A6.14 13.862.46 17.54
the savings
4.1.2.1. Tarsaving per m
Saving, SC
where SC1Cusage (kWnumber of
The follooping the g
Percentage
Percentage
where SC1Cusage (kWh
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
0.22
Sav
ing
($
)
Fig. 5. Vacharge for maximum demand compare to tariff C2.
tion and regression of savingix B and Table 3 show that there is
saving from changingtariff C2 as well as from tariff C2 to tariff
C3.ubsequent sections, some equations are developed toth of the
savings based on the obtained information andlysis. Regression
equations were use to relate between
and the inuencing factors.
iff C1 to tariff C2. Eq. (1) is developed to represent theonth
by switching from tariff C1 to tariff C2
1C2 = $0.0155 kWh1 U $4.96 kWh1 D + $63.86 (1)
2 = saving from switch tariff C1 to tariff C2 ($),U = totalh),D
= maximum demand (kWh) (double the largestkilowatt supplied during
any consecutive 30 min).wing equations were required for the
purpose of devel-raphs in Figs. 5 and 6:
of maximum demand = DU
100% (2)
of saving = SC1C2TC1
100% (3)
2 = saving from switch tariff C1 to tariff C2 ($),U =
total),
Saving vs Perce ntage of Maximum Demand in ($) y = -217114x +
66013
0.23 0.24 0.25 0.26 0.27 0.28 0.29
Perce ntage (%)
riation of saving (C1C2) with percentage of maximum demand.
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M.O. Abdullah et al. / Energy and Buildings 67 (2013) 7078
75
1.5
2
2.5
3
3.5
4
4.5
5
5.5
0.22
%Perce ntage of Saving vs Perce ntage of M aximum
Demand
Fig. 6. Variatidemand.
D = maxikilowatt sucharge with
The equawhen maximimpossible by switchinwas the int0.31% of
mafrom tariff Cwas more thinterval, nopoints for b
4.1.2.2. Tarsaving per m
Saving, SC
where SC2Cpeak usagelargest num30 min).
The follsketching th
Percentage
Percentage
Off peakMaximum
where SC2CU = TotalD = Maxi
kilowatt suTC2 = Ele = Off pGraph in
centage of mindicate thoccur, henctariff C2 tomore than 3
y = -23 .24 x + 7.06 68
0
.5
1
.5
2
2.5
0.22 0.24 0.26 0.28%
Percentage of Saving vs Percentage of Maximum Demand
ariation of savings percentage (C2C3) with percentage of
maximum.
graph in Fig. 8 shows the intersection occurred when theas
36.24. The intersection indicates the moment starting ofe value in
saving (loss) occur, therefore estimated that it notto sw
ed onifferand
fect o
ITS ondir the. The
5 % lod tha
rev
Pe Demandy = -53 .25 3x + 16 .665
0.24 0.26 0.28%
on of savings percentage (C1C2) with percentage of maximum
mum demand (kWh) (double the largest number ofpplied during any
consecutive 30 min),TC1 = electricity
tariff C1 in $.tion line in Fig. 6 shows the maximum saving of
16.66%um demand percentage was zero, but the scenario was
to occur. From the line, the condition of lost occurredg tariff
C1 to tariff C2 can be estimated. The conditionersection point
between the line and x-axis, which isximum demand. This means it is
not worth to switch1 to tariff C2 when the maximum demands
percentagean 0.31%. Based on the error bars at the 95% condence
signicant differences were observed between the dataoth Figs. 5
and 6.
iff C2 to tariff C3. Eq. (4) is developed to represent theonth
from tariff C2 to tariff C3.
2C3 = $0.0329 kWh1 $1.24 kWh1 D (4)
3 = saving from switch tariff C2 to tariff C3 in $. = Off in
kWh.D = Maximum demand in kWh (double theber of kilowatt supplied
during any consecutive
owing equations were required for the purpose ofe graphs in
Figs. 7 and 8:
D
0
1
%
Fig. 7. Vdemand
Theratio wnegativworth 36.3.
Basicant dFigs. 7
4.2. Ef
Theof air ccost focernedarounding 8demanerature
2.5of maximum demand =U
100% (5)
of saving = SC2C3TC2
100% (6)
usagedemand
= D
(7)
3 = saving from switch tariff C2 to tariff C3 in $. usage in
kWh.mum demand in kWh (double the largest number ofpplied during
any consecutive 30 min).ctricity charge with tariff C2.eak usage in
kWh.
Fig. 7 shows the intersection occurred when per-aximum demand
charge was 3.29%. The intersection
e moment starting of negative value in saving (loss)e can be
estimated that it was not worth to switch from
tariff C3 if the percentage of maximum demand was.3%.
0
0.5
1
1.5
2
40
%
Fig. 8. Variatidemand.itch from tariff C2 to tariff C3 if the
ratio was less than
the error bars at the 95% condence interval, no signif-ences
were observed between the data points for both8.
f ice thermal storage (ITS) usage
facility in the MEP was installed during constructiontioning
system at new campus, thus required no extra
hybrid cooling application as far as the study is con- 6 h
charging period during off peak hour will yieldh discharging of ITS
by considering some losses (assum-sses). The discharge period
depend on the maximumt occur each month during year 2011. As stated
in lit-iew, the applicants of ITS facility do not actually
cause
rcentage of Saving vs Off Peak Usage/Maximum y = 0.0797x -
2.863
45 50 55 60 65
on of savings percentage (C2C3) with off peak usage/maximum
-
76 M.O. Abdullah et al. / Energy and Buildings 67 (2013)
7078
-
1
2
3
4
5
0
MW
Fig. 9. MIS eAugust 2011.
energy savipeak and onthe ITS app
The discwith the exrate of 900replacing anfor testing iest cost
sa14301630on the year are summa
Scenario 1.14301630
Scenario 2.14301630
Scenario 3.14301630
With thecan be furthcase which 800 RT basedischarge omight be
honly perfor
By combing for eachC3 can be ITS with
Sce(RM3,673.5$3,954,885.saving is wMEP companario 2 is u
Table 5Estimation sav
Controlling m
ConventionaApply ice thApply ice thApply ice th
Table 6Estimation percentage of usage and demand charge by
different controlling methodfor year 2011.
Usage charge (%) Demand charge (%)
Conventional 82.46 17.54Apply ice thermal storage Case 1 S2
83.14 16.86Apply ice thermal storage Case 2 S2 83.00 17.00
compar ison for var ious selected area.
50
60
0:00 2:00 4:00 6:00 8:00 10 :00 12 :00 14 :00 16 :00 18 :00 20
:00 22 :00 23 :00
Time of day, hours
Kuching, Sarawak 2 Aug 201 1Riyadh, Saud i Arabia 2 Aug 201
1Colorida, USA 2 Aug 201 1Kuwait, Ku wait 2 Aug 201 1Riyadh, Saud i
Arabia July 199 6
10. Am
s dured tle 5 il out
accus late
ancng teS magingappl
in Targing
halfschaso cantrolling method of the system. Hence, maximum
demand
may be further decreased.
High T5 10 15 20 25
time (hr)
Conventional Case 1 Case 2
lectricity consumption with different controlling method for
2nd
ng, but only take advantage with different rate on off peak
[9,14]. Hence, for the present study, theoretically,lication will
only take advantage in tariff C3.harge of ITS can be 450 RT, 900
RT, 1350 RT or 1800 RTisting heat exchangers. In this project, only
discharge
RT be considered in order to simplify the process forother base
chiller. There are three scenario developedn order to nd out the
scenario that will lead to high-ving. The discharge time is xed at
09001130 and
based on the study for occurrence of maximum demand2011 as shown
in Table 2. The three scenarios developedrized as follows:
S1 charge (00000600) and discharge (09001130,) ITS daily.
S2 charge (00000600) and discharge (09001130,) ITS daily except
weekend and public holiday.
S3 charge (00000600) and discharge (09001130,) ITS daily except
Friday, weekend and public holiday.
discharge of ITS at the rate of 900 RT, the investigationser
divided to two cases (Fig. 9): Case 1 is the most likelyis assuming
the discharge of 900 RT able to replace an
chiller. Case 2 is optimistic case which assuming thef 900 RT
able to replace a 1300 RT base chiller. Case 2appen when the 1300
RT is under performance whichm around 60% of the base load.
0
10
20
30
40
Am
bie
nt
tem
per
atu
re,
C
Fig.
obvioucompain Tabcan faldictedsuch aperformroundithat ITof
char
By showndischaaroundstop dimay althe cochargeining two cases of
ITS application, the range of sav- scenario compared to
conventional method by tariffobtained (Table 5). Table 5 shows that
the saving ofnario 2 was within the range of
$1,1388.8148,112.299155,200.91). With the total electricity charge
of00 (RM12,757,693.55) (with tariff C3) for year 2011, theithin
0.031.22%. But, with the contribution of 39% forre to MIS, the
saving in MEP with ITS application Sce-p to 0.083.13%. Here, the
saving by applying ITS is not
ings for year 2011 with Ice thermal storage application.
ethod Saving range
l N/Aermal storage S1 $11,379.5557,281.52ermal storage S2
$1,1388.8148,112.29ermal storage S3 $2439.5339,037.44
a
Coo ling load
Fig. 11. Coolinof total load mT and high each graph frobient
temperature prole comparison for various selected area.
e to the extreme small capacity of the storage facility aso the
main direct cooling facility. Note that the savings having wide
range gures, yet the actual saving still
from the range predicted. The saving cannot be pre-rately due to
the controlling technique of the system
startup of the chillers. Besides, the ITS will have highere at
night time by taking advantage from the lower sur-mperature at
night period compare to daytime. It meansy able to discharge more
than 5 h per day and by 6 h.ying ice thermal storage, the results
of which is asble 6 shows that the demand charge was decreased
by
the ITS strategically. Anyhow, by applied ITS facility, of
maximum demand will occurred right after the ITSrged. In reality,
although the ITS had stop discharged, ituse the late startup of the
chiller as well depending onb
B
A
Time of day
Low T
c d
g load meets by storage prole for a full storage scheme. The
regioneet by storage (indicated by shaded area) are A and A + B for
the lowT prole, respectively. Chiller meets load directly at the
regions underm a to b, and c to d.
-
M.O. Abdullah et al. / Energy and Buildings 67 (2013) 7078
77
A view on typical days for the day and night-time differentialin
ambient temperature T prole is as given in Fig. 10, it showsthat
the local tropical condition (present study) is having
narrowerambient temperature difference as compared to other
countries.As far as th21 C for Kuand Kuwaittribute to hby the
storaregion will the storage
5. Conclus
In this pthe saving campus, in thermal stostudy is
theelectricity cdecrease thwhich has tindicated ththe data avthat,
UNIM2011 by swto the percC2.
Also, thithe electricmal storagenot in use current tarition is
esti(RM3,673.5to charge aday. The sawith respegain by imOverall,
bythe ITS fac(RM162,614saving is 1.with $4,00ing can be human
behfort.
In summmarginally new tariff iif ITS is oplocal tariff those
reporin Refs. [9night-time countries, tatively narrperiods.
6. Recomm
In orderbuildings, tstudy on thvia fuzzy lo
employing Axiomatic design methodology for improvement ofUNIMASs
district cooling system, and (2) optimal operation strat-egy of the
hybrid based on minimum operating cost of the systemsat various
combined working conditions and suitable storage
es. Also, reduction of electricity charge during studentster
break can bring about further savings.
wled
grean anding p
paranagangn, UssetSenia (Eleata rawaiated
dix A
First 1Next 4Surplu
Total u
Maximdeman
On peusageOff peusageMaximdeman
um day).
dix B
y
ry
t
ber e present study is concern, the Ts are 8, 12, 14, andching
(Sarawak), Riyadh (Saudi Arabia), Colorado (USA)
(Kuwait), respectively. In general, bigger T will con-igher
energy savings as more cooling load can be metge (see Fig. 11).
Conversely, a country with lower Tgenerally have lower cooling load
that can be met by.
ions
aper, a few operating schemes are investigated to studypotential
in total electricity charge for UNIMAS newparticular with respect
to the tariff change and with therage application. One of the
ndings emerge from this
signicance of contribution of demand charge to totalharge in
tariff C2 and tariff C3. Effort had been put on toe maximum demand
especially when applying tariff C3he highest charge for maximum
demand. This projectat tariff C3 is the best option to implement
based onailable for year 2011. From the analysis, it was foundAS
can save up to $49,271.81 (RM158,941.32) on yearitching to tariff
C3. The saving is inversely proportionalentage of maximum demand
charge by refer to tariff
s project explains the inuence of ITS application toity charge.
The ice thermal storage facility (ice ther-, heat exchanger, brine
chiller, brine pump, etc.) aredue to neither energy saving nor cost
saving withff applied. But, by switching to tariff C3, ITS
applica-mated to be able to save up to
$1.138.8148,112.289155,200.91) for year 2011, when the ITS is
subjectnd discharge every weekday excluding public holi-ving was
calculated to be in the range of 0.083.13%ct to total usage of MEP.
There can be more savingposing more detail study on the controlling
system.
switching tariff to C3 as well as the application ofility, a
saving up to total of $19,410.6297,384.09.91314,142.23) for year
2011 is estimated. The total26%2.43% compare to total electricity
charge of MIS4,156.81 (RM12,916,634.86) for year 2011. The sav-done
without any initial cost, without changed theavior for users, as
well as without scaried users com-
ary, it was found that, due to the local tariff status,saving
can be achieved in the range of 0.083.13% if as adopted; and a
total of further saving of 1.262.43%erated. This marginally saving
is mainly due to theconditions which is less favorable as compared
withted in the literature and experience elsewhere (e.g.11]).
Furthermore, while there are signicant day anddifferential in
ambient temperature that exists in otherhe local tropical condition
is having less favorable, rel-ow ambient temperature difference
over the day-night
endation for further study
to further reduce the electricity charges in UNIMAShere are few
methods can be considered such as (1)e controlling method in
relation to the ITS applicationsgic investigation and/or
development of a framework
schemsemes
Ackno
Weconcerfollowions, inand MbintiAbDivisioneer, ASwee (Sze
Xition). Dand Saapprec
Appen
C1
C2
C3
Maxim(Thurs
Appen
Januar
Februa
March
April
May
June
July
Augus
Septemgments
tly acknowledge Datu Dr. Hatta Solhi for sharing his idea on
electrical consumption. We are grateful to the
ersonnel for their useful assistance and fruitful
discuss-ticular: Mr. Lawrence Abdullah (Senior Engineer, Assetement
Division, UNIMAS), Mdm Dayang Duwiningsih
Abdullah (Electrical Engineer, Asset and ManagementNIMAS), Mr.
Pelle Tunggi (Assistant Mechanical Engi-
and Management Division, UNIMAS), Mr. Jong Fungor Mechanical
Engineer, JKR Sarawak), and Ms. Liewctrical Engineer, Sarawak
Electricity Supply Coopera-
provided by the Asset & Management Division UNIMASk
Electricity Supply Corporation (SESCO) is very much.
.
Units (kWh) Charge, RM ($) Total, RM ($)
00 U 100.00 40.00 ($12.4)900 U 4900.00 1666.00 ($516.46)s
3,471,296.28 1,041,388.88
($322,830.55)1,043,094.88($323,359.41)
sage 3,476,296.28 869,074.07($269,412.96)
umd
8882.91 142,126.59($44,059.24)
1,011,200.66($313,472.20)
ak 3,032,208.54 758,052.13($234,996.16)
ak 444,087.74 63,948.64($19,824.08)
umd
8882.91 177,658.24($55,074.05)
999,659.01($309,894.29)
demand occur during: 04-08-2011, 09000930
.
Tariff C1 Tariff C2 Tariff C3 RealityRM ($) RM ($) RM ($) RM
($)
1,051,672.87 1,011,709.62 998,073.86 1,011,710.50($326,018.59)
($313,629.98) ($309,402.90) ($313,630.26)969,180.42 942,602.01
929,477.08 942,598.00($300,445.93) ($292,206.62) ($288,137.89)
($292,205.38)1,167,927.57 1,113,511.42 1,093,264.62
1,113,517.50($362,057.55) ($345,188.54) ($338,912.03)
($345190.43)1,144,220.66 1,101,428.88 1,084,904.64
1,101,425.50($354,708.41) ($341,442.96) ($336,320.44)
(341,441.90)1,118,815.96 1,079,084.66 1,065,800.35
1,079,087.00($346,832.95) ($334,516.24) ($330,398.11)
($334,516.97)953,808.85 937,148.27 932,840.68
937,149.00($295,680.74) ($290,515.96) ($289,180,61)
($290,516.19)1,000,574.86 973,056.14 964,865.35
973,048.75($310,178.21) ($301,647.40) ($299,108.26)
($301,645.11)1,043,094.88 1,011,200.66 999,659.01
1,011,202.00($323,359.41) ($313,472,20) ($309,894.29)
($313,472.62)1,138,714.74 1,101,249.83 1,087,535.27
1,101,253.50($353,001.57) ($341,387.45) ($331,135.94)
($341,388.56)
-
78 M.O. Abdullah et al. / Energy and Buildings 67 (2013)
7078
Appendix B (Continued )
Tariff C1 Tariff C2 Tariff C3 RealityRM ($) RM ($) RM ($) RM
($)
October 1,258,840.75 1,208,525.66 1,189,293.93
1,208,526.00($390,240.4) ($374,642.9546) ($368,681.11)
($374,633.06)
November 1,229,441.94 1,191,329.05 1,178,565.34
1,191,323.25($381,127.00) ($369,312.01) ($365,354.64)
($369,310.21)
December 1,281,089.76 1,245,788.67 1,233,413.41
1,245,732.75($397,137.83) ($386,194.49) ($382,358.16)
($386,177.15)
Total 13,357,383.26 12,916,634.87 12,757,693.54
12,916,573.75($4,140,788.81) ($4,004,156.81) ($3,954,884.00)
($4,004,137.86)
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Electricity cost saving comparison due to tariff change and ice
thermal storage (ITS) usage based on a hybrid centrifugal-...1
Introduction2 The UNIMAS district cooling system3 UNIMAS
electricity charge for year 20113.1 Monthly electricity
consumption3.2 Monthly maximum demand3.3 Methodology and data
analysis
4 Results and discussion4.1 Computation of electricity
charge4.1.1 Applying different tariff structure4.1.2 Equation and
regression of saving4.1.2.1 Tariff C1 to tariff C24.1.2.2 Tariff C2
to tariff C3
4.2 Effect of ice thermal storage (ITS) usage
5 Conclusions6 Recommendation for further
studyAcknowledgmentsReferencesAppendix B Appendix IIReferences