Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

22
1 Application of Urban Harvest Approach on water and resource cycles How to quantify the impact of water saving measures and innovative water technologies and concepts? I. Leusbrock*, C.M. Agudelo**, K.J. Keesman***, G. Zeeman*, H.H.M. Rijnaarts* *Sub-Department of Environmental Technology, Wageningen University, P.O. box 17, 6700 AA Wageningen, The Netherlands, e-mail: [email protected] **KWR-Watercycle Research Institute, P.O. Box 1072, 3430 BB Nieuwegein, The Netherlands ***Biomass Refinery and Process Dynamics Group, P.O. box 17, 6700 AA Wageningen,

description

This was my presentation I gave in Luxembourg 2013 for the Young Water Professionals Conference (YWP) for Benelux, hosted in Luxembourg. It was a really interesting conference, lots of young people with great ideas and willing to share their enthusiasm on their topics (especially during the social activities ;-) )

Transcript of Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

Page 1: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

1

Application of Urban Harvest Approach on water and resource cycles

How to quantify the impact of water saving measures and innovative water technologies and concepts?

I. Leusbrock*, C.M. Agudelo**, K.J. Keesman***, G. Zeeman*, H.H.M. Rijnaarts*

*Sub-Department of Environmental Technology, Wageningen University, P.O. box 17, 6700 AA Wageningen, The Netherlands, e-mail: [email protected]**KWR-Watercycle Research Institute, P.O. Box 1072, 3430 BB Nieuwegein, The Netherlands***Biomass Refinery and Process Dynamics Group, P.O. box 17, 6700 AA Wageningen, The Netherlands

Page 2: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

2

Content

Motivation

What is Urban Harvest?

●Steps

●Indicators

●Demand patterns

Results of UHA on block scale and city scale

What can you do with the results?

What are our next steps?

Page 3: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

3

Motivation and steps

We develop technologies and concepts around them and would like to apply them

We want to improve our water cycles and make them “better”

●Resource scarcity, population growth etc.

Yet we do not have the tools to quantify and evaluate technologies, improvement options and their impact on water cycles

So, we had to develop something new

●“Urban Harvest”

Page 4: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

4

What is Urban Harvest?

A framework to organize your ideas to improve water cycles

A tool to quantify and compare your different ideas for water cycles

A tool to quantify urban water flows in high temporal and spatial resolution

Page 5: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

5

The starting point of UHA: Baseline

External Input

ConsumptionExport of waste

Page 6: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

6

Step I: Demand Minimization

External Input

ConsumptionExport of waste

Demand Minimization Index (DMI) =

Page 7: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

7

Step II: Output minimization

External Input

Consumption

Cascading and reuse

Recycle and storage

Export of waste

Waste Output Index (WOI)

Page 8: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

8

Step III: Multisourcing

External Input

Multisource(e.g. rain)

Consumption

Cascading and reuse

Recycle and storage

Export of waste

Export of secondary resources (e.g. nutrients)

Self-Sufficiency Index (SSI)

Page 9: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

9

The three steps of the Urban Harvest Approach (UHA)

I. minimizing water demand

● water saving measures

II. maximizing water re-use and minimizing outputs

● cascading and recycling of used water streams

III.multi-sourcing of alternative water sources

● Rain

● Brackish and salt water, atmospheric water

Baseline assessment as starting point

Agudelo, C. M.; Mels, A. R.; Keesman, K. J.; Rijnaarts, H. H. M., The urban harvest approach as an aid for sustainable urban resource planning. Journal of Industrial Ecology 2012, 16, (6), 839-850.

Page 10: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

10

Baseline assessment

All inputs and outputs quantified

●Consumption, infiltration, external input, run-off, evapotranspiration, precipitation

●qualities next to quantities

All streams in a high temporal resolution from minutely upwards

●diurnal and seasonal patterns

●Water consumption of households is calculated by SIMDEUM1

1 Blokker, E.; Vreeburg, J.; van Dijk, J., Simulating residential water demand with a stochastic end-use model. Journal of Water Resources Planning and Management 2009, 136, (1), 19-26.

Page 11: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

11

Water cycle at building / household scale

Building unit (bu)

Household (hh) Subsystem (ss)

Daily consumption pattern

Building type

Occupancy

Number of households

Water appliances

Garden

Roof: type and area

Climate RainfallOther local

sources

Temporal variations

Socio-economic parameters

2) Recycling

3) Multisourcing

1) Minimizing

Treatment and storage capacity

Yield/overflow

0 6 12 18 24

Dem

and

Time

0 6 12 18 24

Dem

and

Time

Urban Harvest strategies Variables studied in this research

Variables not studied in this research

Relationships not studied in this research

Different spatial scales

Building unit Household SubsystemNote: If there is one household per building unit, bu=hh, also note that subsystem can be at household level or at building unit

Agudelo, C. M., Dynamic water resource management for achieving self-sufficiency of cities of tomorrow. PhD thesis, Wageningen University, Wageningen, 2012.

Page 12: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

12

Water cycle at block scale

Block level

Building units

Building type

Occupancy

Number of households

Water appliances

Roof: Type and area

1) Minimizing

Urban Harvest strategiesUrban Harvest strategies

Variables studied in this researchVariables studied in this research

Variables not studied in this researchVariables not studied in this research

Relationships not studied in this researchRelationships not studied in this research

Treatment and storage capacity

Yield/overflow

3) Multisourcing

2) Recycling

Impermeable areas

Permeable areas

Daily consumption

pattern

ClimatePrecipitationPotential ET

Runoff

sewer

Irrigation

Infiltration Actual ET

ConsumptionConsumption

Domestic wastewater

Storm wastewater

Waste outputWaste output

External input

Agudelo, C. M., Dynamic water resource management for achieving self-sufficiency of cities of tomorrow. PhD thesis, Wageningen University, Wageningen, 2012.

ET = Evapotranspiration

Page 13: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

13

Urban Metabolic Profile

Systems with

reduced waste

output

Demand / DMI

Waste / unused resource exported / WOI

Water harvested on-site / SSI

Initial demand

Self-s

ufficient s

ystemExportin

gsystem

Demand afterminimization

Linear system, no reuse

• DMI =

• WOI

• SSI

Agudelo, C. M.; Mels, A. R.; Keesman, K. J.; Rijnaarts, H. H. M., The urban harvest approach as an aid for sustainable urban resource planning. Journal of Industrial Ecology 2012, 16, (6), 839-850.

Page 14: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

14

Scenario study with UHA

Scenarios Action

Demand minimization step (included in all scenarios)

shower, toilet and laundry water

Scenario 1 recycling of light grey water from shower and sinks

Scenario 2 rainwater harvesting

Scenario 3 Scenario 1 + Scenario 2

Scenario 4 Scenario 3 + green roofs as additional storage step and run-off reduction

Page 15: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

15

Urban Metabolic Profile for scenarios (I)

01

3

2

4

0

1

4

2

3

-500

-400

-300

-200

-100

0

100

200

300

400

500

0 100 200 300 400 500

-We

(m³/y

)

Rh

(m³/y

)

D(m³/y)

0

1 3

2

4

0

14

23

-2100

-1400

-700

0

700

1400

2100

0 700 1400 2100

-We

(m³ /

y)

Rh

(m³/y

)

D(m³/y)

Baseline

Baseline

Baseline Baseline

Arrows indicate the direction of increasing system efficiency

a) Low-density block b) High-density block

Baseline

Baseline

Baseline Baseline

Arrows indicate the direction of increasing system efficiency

a) Low-density block b) High-density block

Systems with

reduced waste

output

Demand / DMI

Waste / unused resource exported / WOI

Water harvested on-site / SSI

Initial demand

Self-s

ufficient s

ystemExportin

gsystem

Demand afterminimization

Linear system, no reuse

Page 16: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

16

Urban Metabolic Profile for scenarios (II)

01

3

2

4

0

1

4

2

3

-500

-400

-300

-200

-100

0

100

200

300

400

500

0 100 200 300 400 500

-We

(m³/y

)

Rh

(m³/y

)

D(m³/y)

0

1 3

2

4

0

14

23

-2100

-1400

-700

0

700

1400

2100

0 700 1400 2100

-We

(m³ /

y)

Rh

(m³/y

)

D(m³/y)

Baseline

Baseline

Baseline Baseline

Arrows indicate the direction of increasing system efficiency

a) Low-density block b) High-density block

Agudelo, C. M., Dynamic water resource management for achieving self-sufficiency of cities of tomorrow. PhD thesis, Wageningen University, Wageningen, 2012.

Page 17: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

17

Evaluation of the water cycle on city scale:Baseline

Agudelo, C. M., Dynamic water resource management for achieving self-sufficiency of cities of tomorrow. PhD thesis, Wageningen University, Wageningen, 2012.

Page 18: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

18

Evaluation of the water cycle on city scale:after water saving measures

Agudelo, C. M., Dynamic water resource management for achieving self-sufficiency of cities of tomorrow. PhD thesis, Wageningen University, Wageningen, 2012.

Page 19: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

19

Where and how to use UHA?

Decision-support tool for technology, infrastructure and management choices

In-depth analysis of water cycles

Possible fields of application

●Water scarcity prevention and self-sufficiency concepts

●Infrastructure and Planning

●Integration of technologies on different scales

●Decentralized or centralized?

Page 20: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

20

Future challenges

Energy and material (e.g., chemicals) demand of applied measures

Extension to other climates and other settings

Inclusion of nutrients, heat recovery, energy production

●Heat recovery from sewage

●New Sanitation

Page 21: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

21

Conclusions

Urban Harvest Approach can be used for quantification of water saving measures and recycle und reuse options

●Indicator set and Urban Metabolic Profile

●Decision support

Dynamic modelling of water cycles in high temporal resolution possible and leads to more insights

Further extensions of the UHA are still necessary

●nutrients and energy demand

●economics

Page 22: Presentation at 3rd YWP IWA Conference 2013 in Luxembourg

22

Urban Harvest

• Demand Minimization

• Output minimization

• Multisourcing

• Dynamic Modelling

e-mail: [email protected]

Twitter: @leusbrocki

Slideshare: http://www.slideshare.net/IngoLeusbrock