This document summarizes a presentation about Scubic, a company that provides real-time smart digital twins and an "autonomous virtual operator" to help water utilities optimize their operations. The digital twin analyzes disconnected data to predict demands, simulate operations, optimize scheduling and control of assets to reduce costs and carbon emissions while increasing productivity and network security. Scubic has implemented solutions for utilities in Portugal, Brazil, and Spain, achieving energy cost savings of up to 21%. The system provides visualization, optimization, and operational recommendations at different organizational levels using digital twins, demand prediction, and network modeling.

1. Real – Time Smart Digital Twins For Energy
Management Optimization
“Virtual Operators”
Digitalization | Water 4.0
Optimization | Efficiency
@ SWU 12/09/2022
Bruno Abreu – brunoabreu@scubic.pt

2. Transform DATA with unique
algorithms into actionable insights,
enabling real savings in Water,
Energy, Carbon and Money.
ABOUT US
MISSION
VISION
Help Water and Wastewater utilities to
optimize their operations, and mitigate
the impacts of climate changes
Aveiro, Portugal
OFFICE

3. ENERGY CRISES
September 2021
February 2022

4. ENERGY CRISES
September 2021
February 2022
August 2022

5. WATER CRISES

6. ENERGY CRISES ó WATER CRISES
WATER UTILITY OPEX COSTS
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
PERSONNEL
MAINTENANCE
DISPOSAL
CHEMICAL
ENERGY
Water & Wastewater Operating Costs – Dr. Mark Hussmann, Poyry, Environmental GMBH, Germany

7. WATER UTILITIES CHALLENGS
“To Achieving Net Zero Carbon Goals we are looking for smart solutions that help
managing our networks efficiency”
Frederico Lopes | IT Director | Águas do Norte
“Little or no integration occurs among the various data systems/departments and is
difficult to transform data into actionable information”
Maureen Averill | Operations Manager | White house Utility District
“...more than a quarter of utility workers will retire within
the next five years, and knowledge is lost when workers leave”
Will Williams | Asset Manager | Black & Veatch
“We need to reduce our Electricity costs without having to make huge investments”
Nuno Laranjo | CTO | Inova, SA

8. SCUBIC
REAL-TIME SMART DIGITAL TWIN “AUTONOMOUS VIRTUAL OPERATOR”

9. SCUBIC
REAL-TIME SMART DIGITAL TWIN “AUTONOMOUS VIRTUAL OPERATOR”
Analyze large amount of disconnected data bases

10. SCUBIC
REAL-TIME SMART DIGITAL TWIN “AUTONOMOUS VIRTUAL OPERATOR”
Demand side management and reduce water costs
Analyze large amount of disconnected data bases

11. SCUBIC
REAL-TIME SMART DIGITAL TWIN “AUTONOMOUS VIRTUAL OPERATOR”
Demand side management and reduce water costs
Reduce OPEX costs and Carbon Emissions
Analyze large amount of disconnected data bases

12. SCUBIC
REAL-TIME SMART DIGITAL TWIN “AUTONOMOUS VIRTUAL OPERATOR”
Demand side management and reduce water costs
Reduce OPEX costs and Carbon Emissions
Increase labor productivity and Uptime
Analyze large amount of disconnected data bases

13. HOW WE DO IT
EDGE COMPUTER +
SECURE COMMUNICATIONS

14. WEATHER
DATA
MACHINE
LEARNING
SCADA
DATA BASES
SATELITE
DATA
1
PREDICT
24/48h DEMANDS
LEVEL’s RESERVOIR
DAMS
HOW WE DO IT

15. WEATHER
DATA
DIGITAL TWIN
MACHINE
LEARNING
SCADA
DATA BASES
SATELITE
DATA
1
PREDICT
24/48h DEMANDS
LEVEL’s RESERVOIR
DAMS
2
SIMULATE
HOW WE DO IT

16. WEATHER
DATA
DAILY ENERGY
PRICE
Re - ENERGY
AVAILABILITY
DIGITAL TWIN
MACHINE
LEARNING
SCADA
DATA BASES DEMAND SIDE
MANAGEMENT
SATELITE
DATA
1
PREDICT
24/48h DEMANDS
LEVEL’s RESERVOIR
DAMS
2
SIMULATE
3
OPTIMIZE
SCHEDULING
HOW WE DO IT

17. WEATHER
DATA
DAILY ENERGY
PRICE
Re - ENERGY
AVAILABILITY
DIGITAL TWIN
MACHINE
LEARNING
SCADA
DATA BASES DEMAND SIDE
MANAGEMENT
SCADA
PUMPS;
VALVES;
ASSETS
SATELITE
DATA
1
PREDICT
24/48h DEMANDS
LEVEL’s RESERVOIR
DAMS
2
SIMULATE
3
OPTIMIZE
SCHEDULING
CONTROL
4
HOW WE DO IT

18. WEATHER
DATA
DAILY ENERGY
PRICE
Re - ENERGY
AVAILABILITY
DIGITAL TWIN
MACHINE
LEARNING
SCADA
DATA BASES DEMAND SIDE
MANAGEMENT
SCADA
PUMPS;
VALVES;
ASSETS
SATELITE
DATA
1
PREDICT
24/48h DEMANDS
LEVEL’s RESERVOIR
DAMS
2
SIMULATE
3
OPTIMIZE
SCHEDULING
CONTROL
4
KPI’S
5
EVALUATE
HOW WE DO IT

19. SCUBIC WEB PLATFORM
Actual and
predicted water
tank levels.
Daily pump
scheduling &
Frequency for
pumping
stations.
Current pump state
and frequency.

20. SCUBIC WEB PLATFORM

21. SCUBIC WEB PLATFORM

22. SCUBIC WEB PLATFORM

23. USE CASES
CASCATE NETWORKS SIMPLE NETWORKS

24. Region:
Moimenta da Beira,
Tabuaço, Sernacelhe
Pumps: 19
Tanks: 35
Annual Water
Consumption : 5,6 M m³
Savings:
10%
Region:
Cantanhede
Pumps: 16
Tanks: 22
Annual Water
Consumption : 4,5 M m³
Savings:
21%
Region:
Penacova and Vila
Nova Poiares
Pumps: 7
Tanks: 7
Annual Water
Consumption : 2,6 M m³
Savings:
11%
WHO TRUSTS SCUBIC: PORTUGAL

25. 2
City: Brasília
N° of Networks: 14
Energy Costs: ~60 M
Population served: 2,4 M
Savings 12%
~€3M
City: Curitiba
N° of Networks: 168
Population served: 11 M
Savings 19%
~€8M
UP TO 19%
OPEX COST SAVINGS
WHO TRUSTS SCUBIC: BRAZIL

26. 2
WHO TRUSTS SCUBIC: SPAIN
WATER MANANGEMENT BASED ON
SPOT ELECTRICITY MARKET

27. WHY WE ARE DIFFERENT

28. FEATURES BENEFITS
WHY WE ARE DIFFERENT
AI Autonomous decision making for
Control room operators
Adapt to Changes in Real-Time & Improve
Operation Efficiency

29. FEATURES BENEFITS
WHY WE ARE DIFFERENT
Optimize All Network Assets
(Not just pumps)
Holistic Network Optimization
AI Autonomous decision making for
Control room operators
Adapt to Changes in Real-Time & Improve
Operation Efficiency

30. FEATURES BENEFITS
WHY WE ARE DIFFERENT
Real OPEX Cost Reductions
up to 21%
Optimize All Network Assets
(Not just pumps)
Energy Mix Optimization
(Tariffs, SPOT, Renewals)
Holistic Network Optimization
AI Autonomous decision making for
Control room operators
Adapt to Changes in Real-Time & Improve
Operation Efficiency

31. FEATURES BENEFITS
WHY WE ARE DIFFERENT
Real OPEX Cost Reductions
up to 21%
Optimize All Network Assets
(Not just pumps)
Energy Mix Optimization
(Tariffs, SPOT, Renewals)
Holistic Network Optimization
Data & Manufacturer Agnostic Not Impact Existing Supplier Contracts
AI Autonomous decision making for
Control room operators
Adapt to Changes in Real-Time & Improve
Operation Efficiency

32. WHY WE ARE DIFFERENT
KPI’s
Decision
Dashboards
DIGITAL TWINS
Demand Prediction
Hidraulic Modeling
Network Operations
VISUALIZATION
OPTIMIZATION
Real-Time Network Data
Daily Operation Orders
OPERATIONAL LEVEL
OPERATOR
PLANNING LEVEL
MANAGERS
STRATEGIC LEVEL
ADMINISTRATORS

34. HIGH RETURN ON
INVESTMENT
LOW RISK INTEGRATION OF
DIFFERENT ENERGY
SOURCES & SUPPLYERS
INCREASE NETWORK
SECURITY
INCREASE LABOR
PRODUCTIVITY
INCREASE WATER
SECURITY
INCREASE
SUSTAINABILITY
REDUCE CARBON
FOOTPRINT
WRAP UP

35. www.scubic.tech
CEO – Bruno Abreu
brunoabreu@scubic.pt
WATER, ENERGY AND DATA
MEANS EVERYTHING TO US