big data: business case in alicante
Post on 15-Apr-2017
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#BigData in Water Utilities:Business Case in Alicante
Toni Sánchez @aszapla
Alicante City
Big Data?
1st BC:
Asset Mg
2nd BC
Water use
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The city of Alicante
• Southeast of Spain, classified as semi-arid
• Scarce and irregular rainfall
•No local surface water resources
• Profile of water demand:
• Concentrated and increasing water demand on the coast.
• Peak seasonal demand (tourism): pop. 335,000 +500,000
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Google Trends: “Big Data”
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1880: The Start of Information Overload (U.S.
Census)
@aszaplahttp://www.winshuttle.com/big-data-timeline/
1997: 1st “Big Data” term used
Big Data = Many data to be transformed into information
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4 steps to “knowledge cake”
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“Sexy” Big Data “Real” Big Datavs
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1st Business Case: Decision Support Systems for Asset Management
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Why Decision Support for Asset Management?
Investment Decision Support Systems have become a
priority issue for the water business
Does really Asset Management require a DSS?
High number of invisible assets
High maintenance costs: need to optimize the
investments
Increasing risk of failure (hydraulic, structural,
environmental) due to ageing
Need to keep the service level
Account for necessary resources
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Network Renewal:
Questions to answer
Network & Risk diagnosisWhy should I rehabilitate?
Condition MappingWhere are my defective
conduits?
Priority & PlanningWhen should I rehabilitate?
Direct cost, annual budgetHow much should I
invest?
Optimal rehabilitation technologiesHow to rehabilitate?
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DSS for Water Network Renewal: METRAWA
BIG DATA
STRUCTURAL ANALYSIS
HYDRAULIC ANALYSIS
RISK ANALYSIS
OPTIMAL TIMING
ECONOMIC ANALYSIS
DMA ANALYSIS
LegislationTrafficCustomersExisting projectsCity Planning
PressureFlowHydraulic performance
AgeLab Condition assessmentLeaksAgeing Model
Internal Rate of Return
Replace vs Repair
ILIQmin
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METRAWA:
Structural Network Evolution Scenarios
Alicante 2013-2037 according to budget
Global Condition
Network Renewal
FD (Km) 629,94 67,71% 788,72 84,78%
FC (Km) 300,43 32,29% 141,64 15,22%
2013 2038Leak rate evolution
2013 2038 Growth
Rate (leaks/Km/year) 0,22 0,41 83,36%
Network Age
Mean network age (years) 2013 2038 Diff.
0 € investment 24,47 49,4720,84%
1,7 M€ investment 24,47 39,16
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METRAWA: Uses & features
• Yearly and long-term renewal planning
• Investment optimization & assessment of renewal funds
• Service level forecast
• Tariff analysis, contract renewal, bids…
Optimal time forrenewal
Web platform
Hydraulic AssessmentRisk Analysis
GIS linked
2nd Business Case: Efficient use of water
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http://www.fundacionaquae.org/consumo-agua-ciudad/consumo-agua-ciudad.html
http://www.fundacionaquae.org/consumo-agua-ciudad/consumo-agua-ciudad.html @aszapla
INTERNET DE LAS COSAS PARA EL CIUDADANO
Alicante: 80.000 contadores en
línea
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Big Data
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@aszapla
감사합니다
Antonio Sánchez Zaplana @aszapla
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