Rawmaterials
Transport&Construction
Maintenance Operation Disposal
Embodiedenergyandcarbonin
materials Fuel ElectricityEquipment’sconsumables ElectricityMW Fuel
GHG GHG Replacedconsumables
GHG GHGConstructionwaste
WW
RW
RHO_mx: A Life-cycle Comparative Model for Rainwater HarvestingMSc Environmental Systems Engineering
María del Carmen Valdez Berriozábal
Supervisors: Ilan Adler and Mark Barrett
Introduction
RHO_mx is a comparative simulation model that quantifies and
compares total greenhouse gases (GHG) emissions of buildings
supplied by the municipal grid in Mexico City against different
configurations of rainwater harvesting (RWH) systems. Their potential
to reduce rainwater poured into the drainage system is also compared
with the objective of acknowledging RWH systems’ potential to mitigate
flooding risk.
Context
Mexico City has particular characteristics that make RWH convenient:
• It imports 18% of its water demand from other hydrologic basins
because its aquifer is overexploited and has caused land
subsidence.
• Consumes 1.23 kWh/m3 to supply water to the city, 65% of it for
importing water by pumping it over 1.1km high mountains.
• Water-network leakages are estimated to be 49% of water supplied.
• It is prone to flood for being located in an endorheic basin and
having its natural infiltration areas urbanised.
• Subsidence has increased flooding risk and made necessary to
pump wastewater and rainwater mixed with it.
• Buildings have underground water storages and pump water to
header tanks because of grid’s lack of pressure due to its leakages.
Methodology
Results
Scenario 1. More than 93% of the GHG emitted by buildings supplied
only by municipal-water in Mexico City occurs during its operation.
From this, more than 77% is caused by municipal-water consumption.
-450.0
-350.0
-250.0
-150.0
-50.0
50.0
150.0
4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5
House Ceylán CuliacánS.MarinaAmsterdamEugenia Office2s Office5sOffice10sRetail1s Retail5s
kgCO2eq/yr
Rawmaterials Transporta on Construc.&Maintenance Opera on Disposal
Preliminary conclusions.
Scenario 4 achieves the highest
GWP reductions and retains
storm-water. It is not
economically viable for
dwellings with low water-bills-
savings/initial-investment ratio.
Scenario 5 is recommended for
high-rise buildings where
rainwater infiltration by natural
means is feasible.
Scenario 1
All uses supplied by MW grid. MW is stored in a
PW cistern and then pumped to header tanks.
RW from roof is discharged to sewer.
Scenario 2
Independent RW and PW cisterns for
independent uses and distribution systems with
pumps and header tanks.
The methodology used is life-cycle assessment. Inputs and outputs
through the different processes are analysed. Impact indicators
measured are: global warming potential (GWP) and cumulative energy
demand (CED).
Scenarios
Five scenarios are
analysed in twelve
different types of
buildings.
Scenario 1 is the
base case with no
RWH. Scenario 2 is a
common practice. Rainwater storage size. Enlarging the size calculated by RHO_mx to
cope with dry years has little effect in GWP and CED if it is located in
the flat part of their curves. But cost will increase unless high water
tariffs are being paid. Two-storey office example:
Scenario 3
Independent RW and PW cisterns, but RW is
treated and distributed with potable-water using
the same pumps and header tanks.
Scenario 5
Several RW wall-mounted tanks in different
levels of the building harvest rain for non potable
uses. MW is supplied as in base case with
pumps.
Scenario 4
One cistern for RW and PW mixed, all water is
treated and distributed together using pumps and
header tanks.
5297,245 28,581 7,542 4,764 3,970 7,245
959 3,705 7,410 2,223 11,115
161
2,147 8,755 2,2601,473
1,179 2,428
2921,153 2,792 638
3,303
135
472 2,508 614 690 334 581220
503 856 269 711
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Single-house
H-Ceylán
H-Uxmal#250
H-Culiacán#26
H-SecretaríadeMarina#500
H-Amsterdam#42
H-Eugenia#1009
Two-storeyoffice
Five-storeyoffice
Ten-storeyoffice
One-storeyretail
Five-storeyretail
kWh/yr
Opera on:MWsupply Opera on:others Rawmaterials Transporta on Construc.&Maintenance Disposal
Energy consumption by life-cycle process GHG emissions by life-cycle process
house
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
0% 5% 10% 15% 20% 25% 30%
GWPreducon
Ra oavailable-rainwater/water-demand
1
2
3
4
5
Polinómica(2)
Polinómica(3)
Polinómica(4)
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
Single-house
H-Ceylán
H-Uxmal#250
H-Culiacán#26
H-SecretaríadeMarina#500
H-Amsterdam#42
H-Eugenia#1009
Two-storeyoffice
Five-storeyoffice
Ten-storeyoffice
One-storeyretail
Five-storeyretail
GWPreducon
Scenario1 Scenario2 Scenario3 Scenario4 Scenario5
GWP reduction by scenario and building
GHG increments and reductions for scenarios 4 & 5 Potential GWP reduction by scenario and ratio RW/WD
scenario 4: probability of exceeding target harvesting volume scenario 4: GWP, CED and cost variation by cistern size
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
-15.00
-10.00
-5.00
0.00
5.00
10.00
15.00
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
%
kgCO2eq/m
3,kW
h/m
3,£/m
3
Volumeoftherainwatercisternortotalreten ontanks[m3]
ScenarioVaria onsinefficiencyandGWPbyRWH-depositsize
Selectedsize GlobalWarmingPoten al(GWP)[kgCO2e/m3]
Cumula veEnergyDemand(CED)[kWh/m3] Cost[£/m3]
RWfrac onfromwaterdemand[%]
September 2014
213.94
99.48
153.651.311
1.584
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0
50
100
150
200
250
3% 10% 16% 23% 29% 35% 42% 48% 55% 61% 68% 74% 81% 87% 94% 100%
KgCO2e/m
3
m3/yr
Rainwaterharvested16.79m3deposit[m3/yr] TargetRWharvested[m3/yr]
Resul ngGWP[KgCO2e/m3] GWPinscenario1
Storeys
Units
Water
demand
(WD)
[m3/yr]
AvailableRW
fractionof
WD[m3/yr]
Non-potable
water
demand
[m3/yr]
Lowest
GWP
scenario
Building
Single-house 2 1 292 30.0% 33% 4
H-Ceylán 5 20 3,997 3.5% 33% 5
H-Uxmal#250 3 76 15,768 9.2% 33% 4
H-Culiacán#26 5 19 4,161 5.4% 33% 5
H-SecretaríadeMarina#500 3 12 2,628 10.9% 33% 4
H-Amsterdam#42 7 10 2,190 3.8% 33% 5
H-Eugenia#1009 5 20 3,997 3.9% 33% 5
Two-storeyoffice 2 1 529 29.7% 45% 4
Five-storeyoffice 5 1 2,044 12.0% 45% 5
Ten-storeyoffice 10 1 4,088 6.0% 45% 5
One-storeyretail 1 1 1,226 20.0% 45% 4
Five-storeyretail 5 1 6,132 4.0% 45% 5
Constant 4 5 4 5
29.2% 12.7% 9.3 0.7
3.5% 3.3% 44.0 3.2
9.2% 4.0% 244.2 6.1
5.4% 4.8% 52.1 4.0
10.9% 7.2% 44.2 2.5
3.8% 3.7% 24.6 3.0
3.9% 3.8% 45.3 4.7
29.0% 14.1% 16.8 1.1
12.0% 9.4% 36.2 4.0
8.0% 5.2% 31.8 1.4
19.9% 6.5% 29.4 0.7
4.0% 3.5% 69.8 4.0
SuppliedRW
fractionofWD
Rainwater
storagesize[m3]
Minimum
sizefor
storms[m3]
Highest
NPV/m3
scenario
Water
tariff
[£/m3]
Ratiowater-
bill-savings
/initialcost
Constant Constant 4 5 4
6.91 5 -£1.21 -£1.47 £6.91 -£0.06
11.2 5 -£1.21 £0.55 £1.81 -£0.08
114.61 4 -£1.21 £4.66 £2.31 -£0.18
17.86 5 -£1.21 £1.65 £2.64 -£0.11
22.64 5 -£1.21 £3.92 £4.05 -£0.12
6.65 5 -£1.21 -£0.33 £1.83 -£0.06
12.44 5 -£1.21 £0.77 £1.99 -£0.09
12.44 4 -£1.60 £11.90 £10.74 -£0.12
19.36 4 -£3.31 £16.46 £15.02 -£0.31
13.83 5 -£3.31 £8.16 £9.03 -£0.31
19.36 4 -£3.31 £27.35 £10.59 -£0.31
19.36 5 -£3.31 £5.39 £5.52 -£0.30
NPVperunit
[£/m3]