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Future water management of cities Research based decision support for urban water system development Martin Rygaard ([email protected] ) With help from Sarah, Brudler, Berit Godskesen, Karsten Arnbjerg- Nielsen, Erik Arvin, Linda L. Fang, Borja V. Perez, Benedek Plosz, Anders Damgaard

Future water management of cities - documents.er.dtu.dkdocuments.er.dtu.dk/Projects/CAGOB/NEWRI DTU Singapore Rygaard… · 11 DTU Environment, Technical University of Denmark DTU

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Future water management of cities

Research based decision support for urban water system development

Martin Rygaard ([email protected])

With help from Sarah, Brudler, Berit Godskesen, Karsten Arnbjerg-Nielsen, Erik Arvin, Linda L. Fang, Borja V. Perez, Benedek Plosz, Anders Damgaard

DTU Environment in Singapore 20152 DTU Environment, Technical University of Denmark

EXAMPLE 1Decision support – Technology Development

DTU Environment in Singapore 20153 DTU Environment, Technical University of Denmark

ObjectivesScenarios for

implementationof a novelressource recovery

technology

Assess the environmental impact of the

scenarios

Use Life Cycle Assessment as a support tool for the TRENS

developers

1

23

DTU Environment in Singapore 20154 DTU Environment, Technical University of Denmark

The scenarios: Implementing TRENS

A Conventional watewater treatment

BAgricultural reuse:Irrigation & Fertilization

90%

10%

DTU Environment in Singapore 20155 DTU Environment, Technical University of Denmark

The scenarios: Implementing TRENS

A Conventional watewater treatment

BAgricultural reuse:Irrigation & Fertilization

10 km

DTU Environment in Singapore 20156 DTU Environment, Technical University of Denmark

LCA – Method in brief

• Functional unit: 1m3 of influent wastewater

• Life cycle inventory: operating reports for existing processes, databases for infrastructure and modeling of sludge and algal processes (ASM-2d and ASM-A)

• Impact assessment: International Reference Life Cycle Data System (ILCD 2011)

• Uncertainty analysisContribution analysis

Pertubation analysis(sensitivity ratios)

Uncertainty assessment

DTU Environment in Singapore 20157 DTU Environment, Technical University of Denmark

LCA – Method in brief

• Functional unit: 1m3 of influent wastewater

• Life cycle inventory: operating reports for existing processes, databases for infrastructure and modeling of sludge and algal processes (ASM-2d and ASM-A)

• Impact assessment: International Reference Life Cycle Data System (ILCD 2011)

• Uncertainty analysisContribution analysis

Pertubation analysis(sensitivity ratios)

Uncertainty assessment

J Clavreul et al., 2014 Env. Mod. Software

EASETECH

DTU Environment in Singapore 20158 DTU Environment, Technical University of Denmark

Included processes

Processes

A, B WWTP Construction

A, B WWTP Operation

A, B Discharge to sea

A, B Waste incineration

A, B Emissions to air

A, B Biogas combustion

A, B Combustion in flare

B TRENS

B Pipeline

B Fertilizer substitution

B Use-on-land

BAgricultural reuse:Irrigation & Fertilization

DTU Environment in Singapore 20159 DTU Environment, Technical University of Denmark

Results

Scenario A: Without TRENS

Scenario B: With TRENS sidestream irrigation & fertigation

Marine Eutrophication

Human/Eco Toxicity

1 PE

x kg

coal/p/y

L. L. Fang et al. in revision for Water Research

DTU Environment in Singapore 201510 DTU Environment, Technical University of Denmark

BAgricultural reuse:Irrigation & Fertilization

Process contributions scenario B

DTU Environment in Singapore 201511 DTU Environment, Technical University of Denmark

EXAMPLE 2Decision support – Climate adaptation

DTU Environment in Singapore 201512 DTU Environment, Technical University of Denmark

Cloudburst Management Plan for Nørrebro

“Green“ stormwater management:

• Decouple rain water from sewer

• Discharge of water via new flow routes – on the surface

• Represent asset in themselves

Transformation of roads, parks

and public areas

Sourc

e:

Konkre

tisering a

f Skybru

dspla

n N

ørr

ebro

(H

OFO

R, Københavns K

om

mune &

Ram

bøll 2

013)

DTU Environment in Singapore 201513 DTU Environment, Technical University of Denmark

Results for the “green“ and “grey“ scenario

0

2000

4000

6000

8000

10000

12000

14000

PE /

2.6

km

2

"Green"scenario

"Grey"scenario

Slide: Sarah Brudler

DTU Environment in Singapore 201514 DTU Environment, Technical University of Denmark

EXAMPLE 3Decision support – Softening in Copenhagen

Drinking water softening will save households approx 80 SGD/person/yr

DTU Environment in Singapore 201515 DTU Environment, Technical University of Denmark

(Godskesen et al. J.Env.Man. 2012)

-30%

-60%

Change in hardness levels

Assessing impacts of softening

DTU Environment in Singapore 201516 DTU Environment, Technical University of Denmark

1.0

1.5

1.5

2.0

2.0

2.0

2.5

2.5

2.5

3.0

3.0

3.5

3.5

4.0

4.5

Calcium (mg/l)

0 20 40 60 80 100 120 140

Flu

oride (

mg/l)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

63.25

53.8311.0

25.0

33.018.005.1exp

SDMF

CaF

Unit: DMF-S

Softening AB

CD

E

A: Typical Danish groundwaterB: Softened groundwaterC: Typical desalinated and remineralized waterD: RainwaterE: Danish groundwater (high fluoride content)

Relation based on Danish water quality data: (Ca: 31.4-162.3 mg/l; F: 0.06-1.61 mg/l)

(Based on Bruvo et al., J. Dental Res., 2008)

Advice for the Danish Health Inspectors

DTU Environment in Singapore 201517 DTU Environment, Technical University of Denmark

EXAMPLE 4Decision support – Alternative water ressources

DTU Environment in Singapore 201519 DTU Environment, Technical University of Denmark

0

0.5

1

1.5

2

Groundwater based supply Desalination

En

vir

on

men

tal im

pact

(m

PET/

m3

)

DK Energy mix 2012

DK Energy mix target 2020

A shift towards treatment intensive water supply

(Rygaard et al., Sci.Tot.Env., 2014)

Environmental evaluation of scenarios for future water systems

DTU Environment in Singapore 201520 DTU Environment, Technical University of Denmark

Future sustainable

watersystems

Economy

Health riskEnvironmental

impact

Freshwaterimpacts

Concrete / PE pipe production

Concrete production

TruckExcavation &

disposal of soil

Truck

Cleaning

Cleaning

ExcavationTreatment/ recycling

TreatmentExcavationExcavation &

disposal of soil

Grass seed / tree seedling

productionTruck

Mowing & disposal of

grass / cuttingsCompostingExcavationSowing / planting

Clay / gravel production

Truck LandfillingExcavationExcavation

Gravel / cobblestone production

Truck Cleaning LandfillingExcavationExcavation &

disposal of soil

Landfilling / composting /

treatmentExcavation

Excavation Landfilling

Pipes

Channels

Planted areas

Drainage

Paved areas

Decommissioning of park areas

Lowering of park areas

Manufacturing Transport Construction MaintenanceDe-

commissioningDisposal

(Brudler, 2015)