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OPTIMA INCO-MPCOPTIMA INCO-MPCThird Management Third Management

Board MeetingBoard Meeting,,May 18/19 2008May 18/19 2008 GumpoldskirchenGumpoldskirchen

OPTIMA INCO-MPCOPTIMA INCO-MPCThird Management Third Management

Board MeetingBoard Meeting,,May 18/19 2008May 18/19 2008 GumpoldskirchenGumpoldskirchen

DDr. Kurt Fedra Environmental Software & Services GmbH

A-2352 Gumpoldskirchen Austria kurt@ess.co.at http://www.ess.co.at DDr. Kurt Fedra Environmental Software & Services GmbH

A-2352 Gumpoldskirchen Austria kurt@ess.co.at http://www.ess.co.at

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Thursday, May 18Thursday, May 18

09:00-09:15 Welcome & agenda ESS

09:15-10:15 WP04, water technologies INTERGEO

10:15-11:15 WP05, GIS data NCRS

11:15-12:00 model scenarios, optimization ESS

12:00-14:00 Lunch break

09:00-09:15 Welcome & agenda ESS

09:15-10:15 WP04, water technologies INTERGEO

10:15-11:15 WP05, GIS data NCRS

11:15-12:00 model scenarios, optimization ESS

12:00-14:00 Lunch break

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Thursday, May 18Thursday, May 18

12:00-14:00 Lunch break

14:00-14:45 Stakeholder WS, Jordan C.z

14:45-15:30 Stakeholder WS, Turkey SUMER

15:30-17:00 stakeholders, communication IRMCo

17:00-18:00 WP 16, dissemination IRMCo

12:00-14:00 Lunch break

14:00-14:45 Stakeholder WS, Jordan C.z

14:45-15:30 Stakeholder WS, Turkey SUMER

15:30-17:00 stakeholders, communication IRMCo

17:00-18:00 WP 16, dissemination IRMCo

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Friday, May 19Friday, May 19

09:00-09:45 case study: Dhiarizos ATLANTIS

09:45-10:30 case study: Gediz SUMER

10:30-11:15 case study: Zarqa UJO

11:15-12:00 case study: Litani ELARD

12:00-14:00 lunch break

09:00-09:45 case study: Dhiarizos ATLANTIS

09:45-10:30 case study: Gediz SUMER

10:30-11:15 case study: Zarqa UJO

11:15-12:00 case study: Litani ELARD

12:00-14:00 lunch break

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Friday, May 19Friday, May 19

12:00-14:00 lunch break

14:00-14:45 case study: Alexander/Wadi Z. IPCRI

14:45-15:30 case study: Melian CNTD

15:30-16:15 case study: Martil UH2M

16:15-16:30 second AR, CS2

16:30-17:00 WP15, comparative analysis ELARD

17:00-18:00 workplan, any other business

12:00-14:00 lunch break

14:00-14:45 case study: Alexander/Wadi Z. IPCRI

14:45-15:30 case study: Melian CNTD

15:30-16:15 case study: Martil UH2M

16:15-16:30 second AR, CS2

16:30-17:00 WP15, comparative analysis ELARD

17:00-18:00 workplan, any other business

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MEETING OBJECTIVESMEETING OBJECTIVESMEETING OBJECTIVESMEETING OBJECTIVES1. Review of Project Status and

progress, active work packages: WP04, WP05, case studies

2. Discussion of stakeholder issues, dissemination, communication

3. Agree on next steps of technical work (economic assessment, optimization model workshop)

1. Review of Project Status and progress, active work packages: WP04, WP05, case studies

2. Discussion of stakeholder issues, dissemination, communication

3. Agree on next steps of technical work (economic assessment, optimization model workshop)

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OPTIMA OBJECTIVEOPTIMA OBJECTIVEOPTIMA OBJECTIVEOPTIMA OBJECTIVEDevelop a common structured approach to

water resources management in several parallel case studies:

Common approach and method for

• Identifying issues

• Involve end users

• Describe the systems

• Model/optimize them

• Analyze/compare

Develop a common structured approach to water resources management in several parallel case studies:

Common approach and method for

• Identifying issues

• Involve end users

• Describe the systems

• Model/optimize them

• Analyze/compare

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OPTIMA: Project Overview OPTIMA: Project Overview

• 3 year duration to JUNE 2007

• Started: July 2004

Current PM: 24 of 36

or 2/3 (67%) over – case study results ?

• 3 year duration to JUNE 2007

• Started: July 2004

Current PM: 24 of 36

or 2/3 (67%) over – case study results ?

9 OPTIMA: time tableOPTIMA: time table

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OPTIMA: Work Plan PhasesOPTIMA: Work Plan Phases

1. Requirements and constraints, DSS processes (end users)

2. Data compilation, tool development

3. Parallel case studies, baseline scenarios, economic assessment, optimization scenarios, results

4. Comparative evaluation, dissemination (end users).

1. Requirements and constraints, DSS processes (end users)

2. Data compilation, tool development

3. Parallel case studies, baseline scenarios, economic assessment, optimization scenarios, results

4. Comparative evaluation, dissemination (end users).

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OPTIMA: Milestones OPTIMA: Milestones Milestone Month Milestone Description

M1 06 End of preparatory phase, first workshop

M2 12Methods and tools prototypes ready, start of operational phase

M3 18Case studies implemented, first results of optimisation runs (baseline scenarios !)

M4 24Post-optimal analysis and assessment phase initiated

M5 33Case studies completed, second stage optimisation

M6 36 Project and reporting completed

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Work Plan (simple version)Work Plan (simple version)

WP 01: done

WP 02: done

WP 03: doneWP 04: largely done, no partner inputs yet ?

WP 05: largely done

WP 06: done, ongoing support

WP 01: done

WP 02: done

WP 03: doneWP 04: largely done, no partner inputs yet ?

WP 05: largely done

WP 06: done, ongoing support

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Work Plan (simple version)Work Plan (simple version)

WP 07 Cyprus + + -WP 08 Turkey + + +WP 09 Lebanon + - -

WP 10 Jordan + - -WP 11 Palestine/Israel + - -WP 12 Tunisia + - -WP 13 Morocco + - -

WP 07 Cyprus + + -WP 08 Turkey + + +WP 09 Lebanon + - -

WP 10 Jordan + - -WP 11 Palestine/Israel + - -WP 12 Tunisia + - -WP 13 Morocco + - -

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Baseline targets:Baseline targets:Baseline targets:Baseline targets:

• WRM performance targets:– Complete and reasonable scenario– Total outflow +/- 25% observations– Daily flow at least for ONE station close to end

node */ 2

– Basic economic assessment (basis for optimization and comparison )

• STREAM performance targets:– DO/BOD within reasonable ranges – any WQ

observation data ?– WQ related economics under development

• WRM performance targets:– Complete and reasonable scenario– Total outflow +/- 25% observations– Daily flow at least for ONE station close to end

node */ 2

– Basic economic assessment (basis for optimization and comparison )

• STREAM performance targets:– DO/BOD within reasonable ranges – any WQ

observation data ?– WQ related economics under development

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Gender issues:Gender issues:Gender issues:Gender issues:

• Activities ?

• Update report ?

• Future plans ?

• Activities ?

• Update report ?

• Future plans ?

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Case studies: how to proceedCase studies: how to proceed

By PM 18 (December 2005):

• Baselines ready for each case

• Basic economic assessment

• Basic water technologies ready to link, on-line data base

• Optimization framework agreed:– Criteria, objectives, constraints

By PM 18 (December 2005):

• Baselines ready for each case

• Basic economic assessment

• Basic water technologies ready to link, on-line data base

• Optimization framework agreed:– Criteria, objectives, constraints

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Case studies: how to proceedCase studies: how to proceed

Optimization framework:• Objectives, constraints:

• Instruments, water technologies:

New questionnaires ?

(used for SH workshop in Turkey)

Optimization framework:• Objectives, constraints:

• Instruments, water technologies:

New questionnaires ?

(used for SH workshop in Turkey)

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Model use targets:Model use targets:Model use targets:Model use targets:

WRM performance targets:

• Complete and reasonable scenarios includes groundwater links, realistic reservoir data

• Provide observation data for CONTROL NODES, add control nodes for all monitoring stations -> compliance, flood damages

• Basic economic assessment

WRM performance targets:

• Complete and reasonable scenarios includes groundwater links, realistic reservoir data

• Provide observation data for CONTROL NODES, add control nodes for all monitoring stations -> compliance, flood damages

• Basic economic assessment

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OPTIMISATION:OPTIMISATION:OPTIMISATION:OPTIMISATION:

1. Technologies are applied to NODES.

2. Each technology affects some model parameters (demand, efficiency/losses) for the different node types at a cost.

3. Benefits accrue from water supplied.

4. Optimization approach: Satisficing• First round: Model selects the combinations

of technologies that meets all constraints

1. Technologies are applied to NODES.

2. Each technology affects some model parameters (demand, efficiency/losses) for the different node types at a cost.

3. Benefits accrue from water supplied.

4. Optimization approach: Satisficing• First round: Model selects the combinations

of technologies that meets all constraints

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OPTIMISATION:OPTIMISATION:OPTIMISATION:OPTIMISATION:

CONSTRAINTS:

• Global constraints

• Node specific constraints

• Sectoral (not implemented)

• directly derived from model results

CONSTRAINTS:

• Global constraints

• Node specific constraints

• Sectoral (not implemented)

• directly derived from model results

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TECHNOLOGIES:TECHNOLOGIES:TECHNOLOGIES:TECHNOLOGIES:

Are NOT restricted to technology in a narrow sense, can include policies and institutional change that do affect supply, allocation, demand, efficiency, quality

FOR example: – Pricing/subsidies affects demand– Market (privatization) affects allocation– Enforcement (regulatory change) affects

quality and efficiency

Are NOT restricted to technology in a narrow sense, can include policies and institutional change that do affect supply, allocation, demand, efficiency, quality

FOR example: – Pricing/subsidies affects demand– Market (privatization) affects allocation– Enforcement (regulatory change) affects

quality and efficiency

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Water TechnologiesWater TechnologiesWater TechnologiesWater Technologies• Name, META DATA• Description (unstructured, hypertext HTML, types)

• Application domain• allocation, supply, structures, quality

• Investment (annualized):• unit cost, reference unit for scaling

• Operation (annual):• OMR unit cost, reference unit for scaling

• Effects multiplier for:• Demand, consumptive use, distributions losses

/MANUALS/WATERWARE/watertechnologies.html

• Name, META DATA• Description (unstructured, hypertext HTML, types)

• Application domain• allocation, supply, structures, quality

• Investment (annualized):• unit cost, reference unit for scaling

• Operation (annual):• OMR unit cost, reference unit for scaling

• Effects multiplier for:• Demand, consumptive use, distributions losses

/MANUALS/WATERWARE/watertechnologies.html

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WP 14: post-optimal analysisWP 14: post-optimal analysisWP 14: post-optimal analysisWP 14: post-optimal analysisWP leader: Corridoi.zeroWP started: PM 13 (July 2005)

Any Activities ?Minimally: define an operational framework,

also for stakeholder involvement !• Compile CRITERIA that the model produces

or that can be derived, compare with stated issues

• Analyze relationships, correlation structure• Repeat with optimization results if and when

available, analyze implicit weights and identify stakeholder preferences.

WP leader: Corridoi.zeroWP started: PM 13 (July 2005)

Any Activities ?Minimally: define an operational framework,

also for stakeholder involvement !• Compile CRITERIA that the model produces

or that can be derived, compare with stated issues

• Analyze relationships, correlation structure• Repeat with optimization results if and when

available, analyze implicit weights and identify stakeholder preferences.

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WP 15: comparative analysisWP 15: comparative analysisWP 15: comparative analysisWP 15: comparative analysis

WP leader: ELARDWP starts: PM 25 (July 2006)

Activities: closely related to WP14• Compile the CRITERIA selected in

WP14 from each baseline scenario, analyze ranges and relationships;

• Repeat with optimization scenarios if and when available.

WP leader: ELARDWP starts: PM 25 (July 2006)

Activities: closely related to WP14• Compile the CRITERIA selected in

WP14 from each baseline scenario, analyze ranges and relationships;

• Repeat with optimization scenarios if and when available.

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Thursday, May 18Thursday, May 18

09:00-09:15 Welcome & agenda ESS

09:15-10:15 WP04, water technologies INTERGEO

10:15-11:15 WP05, GIS data NCRS

11:15-12:00 model scenarios, optimization ESS

12:00-14:00 Lunch break

09:00-09:15 Welcome & agenda ESS

09:15-10:15 WP04, water technologies INTERGEO

10:15-11:15 WP05, GIS data NCRS

11:15-12:00 model scenarios, optimization ESS

12:00-14:00 Lunch break