The document discusses two business cases for using big data in water utilities in Alicante, Spain. The first case focuses on using big data and a decision support system to optimize asset management and infrastructure renewal planning. The second case examines using big data from smart water meters to promote more efficient water use among citizens. Both cases aim to help the utility better manage infrastructure investments and customer water demand given Alicante's scarce water resources and increasing population.

1. #BigData in Water Utilities:
Business Case in Alicante
Toni Sánchez
@aszapla

2. Alicante
City
Big Data?
1st BC:
Asset Mg
2nd BC
Water use
@aszapla

3. 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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4. Google Trends: “Big Data”
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5. @aszapla

6. 1880: The Start of
Information Overload (U.S.
Census)
@aszaplahttp://www.winshuttle.com/big-data-timeline/
1997: 1st “Big Data” term
used

7. Big Data = Many data to be transformed
into information
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8. 4 steps to “knowledge cake”
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9. “Sexy” Big Data “Real” Big Datavs
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10. What concerns citizens?
https://decide.madrid.es/debates
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11. 1st Business Case:
Decision Support
Systems for Asset
Management
@aszapla

12. 12.
https://www.youtube.com/watch?v=er2mMuSHFvc @aszapla

13. 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
@aszapla

14. Network Renewal:
Questions to answer
Network & Risk diagnosisWhy should I rehabilitate?
Condition Mapping
Where are my defective
conduits?
Priority & Planning
When should I
rehabilitate?
Direct cost, annual budget
How much should I
invest?
Optimal rehabilitation technologiesHow to rehabilitate?
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15. DSS for Water Network Renewal: METRAWA
BIG
DATA
STRUCTURAL
ANALYSIS
HYDRAULIC
ANALYSIS
RISK
ANALYSIS
OPTIMAL
TIMING
ECONOMIC
ANALYSIS
DMA
ANALYSIS
Legislation
Traffic
Customers
Existing projects
City Planning
Pressure
Flow
Hydraulic performance
Age
Lab Condition assessment
Leaks
Ageing Model
Internal Rate of Return
Replace vs Repair
ILI
Qmin
@aszapla

16. 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 2038
Leak 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 49,47
20,84%
1,7 M€ investment 24,47 39,16
@aszapla

17. @aszapla
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 for
renewal
Web platform
Hydraulic Assessment
Risk Analysis
GIS linked

18. 2nd Business Case:
Efficient use of water
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19. http://www.fundacionaquae.org/consumo-agua-
ciudad/consumo-agua-ciudad.html
http://www.fundacionaquae.org/consumo-agua-ciudad/consumo-agua-ciudad.html
@aszapla

20. INTERNET DE LAS COSAS PARA EL CIUDADANO
Alicante: 80.000
contadores en
línea
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21. @aszapla

22. Big Data
@aszapla

23. @aszapla

25. 감사합니다
Antonio Sánchez Zaplana
@aszapla