Presentation of IJENKO IoE² platform + the VPP offering.

1. IoE² Residential VPPIoE² Residential VPP

2. DEMAND-SIDE MANAGEMENT IS CRITICALDEMAND-SIDE MANAGEMENT IS CRITICAL

3. IJENKO IOE² VPPIJENKO IOE² VPP
IoE²
VPP
Software module part of
our IoE² platform
Enabler of a consistent
Business model
through a mutualized
platform
Designed for C&I
flexibility aggregators
willing to benefit from the
residential flexibility

4. IOE² VPP – WHAT WE DOIOE² VPP – WHAT WE DO
IoE² VPP
Industrial
systemDRMS
Data exchange
• Consumption
• Micro-generation
• Storage
Aggregated measurement,
forecasting and piloting of the 3
energy streams
• kW
• Euros
• Carbon eq.
Decision making tools regarding
different constraints
Residential base Industrial and commercial base

5. IOE² VPP – CUSTOMERS & BENEFITSIOE² VPP – CUSTOMERS & BENEFITS
Flexibility
operators
Utilities Local
authorities
Offer prosumers ancillary service
 Charge electric vehicle
 Monitor smart appliances
 Make savings with new tariffs
 Manage local generation & storage
Offer prosumers ancillary service
 Charge electric vehicle
 Monitor smart appliances
 Make savings with new tariffs
 Manage local generation & storage
Manage the
demand for revenue
and cost optimization
(Energy markets)
Manage the
demand for revenue
and cost optimization
(Energy markets)
Leverage their Smart
metering offering
Leverage their Smart
metering offering
Manage the grid constraints and costs due to
intermittency
Manage the grid constraints and costs due to
intermittency
Respect low carbon
objectives
Respect low carbon
objectives

6. IOE² VPP – A MICRO-GRID AND SMART-GRID SOLUTIONIOE² VPP – A MICRO-GRID AND SMART-GRID SOLUTION
IoE² VPPIoE² VPP
CEMS monitoring
tools
Smart home
solution
Renewables
integration
Electric vehicle
integration
Implicit & Explicit
DR management
Customer
engagement tools
Storage
management
Constraints
management

7. IOE² VPP – USE CASESIOE² VPP – USE CASES
Extending historical C&I use
cases to residential
Extending historical C&I use
cases to residential
Peak capacity management
 Day-ahead capacity supply
Grid failures preventing
 Infra-day load shedding
Low carbon policy conformity
Enabling emerging use casesEnabling emerging use cases
Micro-grid management
 Revenue optimization
 Renewables integration
Smart appliances management
(Direct & Automated DR)
Local storage management
(EV & batteries)

8. IOE² VPP VALUEIOE² VPP VALUE
Energy
efficiency
Load
shedding
Local
generation
Local storage
Dynamic
tariffs
Capacity : Base load 
Capacity : Peak   
Capacity : Balancing   
Supply : Base load 
Supply : Peak    
(*) Source : KEMA
ExistingExisting IoE² VPP additional valueIoE² VPP additional value

9. IOE² VPP VALUE PROPOSITIONIOE² VPP VALUE PROPOSITION
IJENKO IoE² Platform
Devices
DR
module
Smart
meter
Smart
Plug
Clamp …
Resources
Software Gateway
Data
model
Library
Algorithms
engines
Usage
Micro-generation
Storage
DB Multi-fluids
Services
Monitoring
& control
Automatio
n
Business
algorithms
Residential VPP
API
Added-value applications
by IJENKO
IoEnergy apps
by Developers
End-users apps
by B2B
Business apps
Example
CEMS / DERMS
Predictive analysis modules
Usage
Micro-generation
Storage
Households profile comparison
Usage disaggregation
Artificial Intelligence
Smart agents
Distributed intelligence
Natural language programing
Decision making engine
Aggregation
Load curves monitoring and
piloting
Decision making tools
OpenADR 2.0 interface

10. USE CASE – DAY-AHEAD FLEXIBILITY SUPPLYUSE CASE – DAY-AHEAD FLEXIBILITY SUPPLY
TSOTSO
Financial
aggregator
Financial
aggregator
DRMSDRMS IoE² VPPIoE² VPP
J – 5pmJ – 5pm
J -1J -1
J – 6pmJ – 6pm
J – 7pmJ – 7pm
Offering
acceptation
Flexibility
aggregation
Forecast
calculation
Residential
Flexibility supply
Flexibility offering
Aggregated
offering activation
Residential
offering activation
DE program
activation
DE program
launch
Real Time
flexibility aggr.
Feedback

11. HOW IT WORKS
EXPLICIT DEMAND RESPONSE USE CASE
ILLUSTRATED
HOW IT WORKS
EXPLICIT DEMAND RESPONSE USE CASE
ILLUSTRATED

12. THE VALUE CHAIN OF THE FLEXIBILITY MARKETTHE VALUE CHAIN OF THE FLEXIBILITY MARKET
Energy marketsEnergy markets
BalancingBalancing ……
CapacityCapacityWholesaleWholesale
Financial aggregator
Markets
flexibility
Provides
flexibility
Operates
DR events
IoE² VPP
Technical aggregator of
industrial & residential
flexibility
Residential technical
aggregator
+
Demand Response
events operator
Provides
flexibility

13. Eco-district usage
modeling
EXPLICIT DR USE CASE - FORECASTINGEXPLICIT DR USE CASE - FORECASTING
0
10 000 000
20 000 000
30 000 000
40 000 000
50 000 000
60 000 000
70 000 000
RP avec
chauffage
électrique
RP sans
chauffage
électrique
RS avec
chauffage
électrique
RS sans
chauffage
électrique
Professionnels Eclairage
public
kWh
Répartition des consommations par usage et par type de
clients
Ventilation
Eclairage Public
Autres
Moteurs
Eclairage
Loisir
Tech. Informatique
Froid Alimentaire
Electroménager
Climatisation
Agriculture
Cuisson
ECS
Chauffage
Impact on global usage
of load shedding per
specific usage (heater,
hot water tank, EV, etc.)
Local generation /
storage forecast per
household if any
Usage forecast per
household + UR
Net usage forecast
per household and
for the eco-district
Weather data
J – 1 J
History of
measured data

14. EXPLICIT DR USE CASE – ARTIFICIAL INTELLIGENCE
SMART AGENTS – THE EQUILIBRIUM SYMPHONY
EXPLICIT DR USE CASE – ARTIFICIAL INTELLIGENCE
SMART AGENTS – THE EQUILIBRIUM SYMPHONY
Smart
agent
A
Capabilities
Constraints
Objective
Smart
agent
B
Capabilities
Constraints
Objective
Smart
agent
C
Capabilities
Constraints
Objective
Real time
Peer-to-peer
communication
 Negotiating /
common
objective
FAILURE
Backup
Target Load curve = common objective

15. EXPLICIT DR USE CASE – ARTIFICIAL INTELLIGENCEEXPLICIT DR USE CASE – ARTIFICIAL INTELLIGENCE
End user preferences
Feeders scoring
Aggregated
Demand
management
program
DR program
+ net usage load
curve
/ household
Smart agents technologySmart agents technology
Natural
language
programing
“Fuzzy logic” rules
Data base
Decision making
by direct
interaction
between Smart
agents
J – 1 J

16. EXPLICIT DR USE CASE – AGGREGATIONEXPLICIT DR USE CASE – AGGREGATION
Aggregated
Demand
management
program
J – 1 J
0,00%
20,00%
40,00%
60,00%
80,00%
100,00%
120,00%
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
kW
Programme de gestion des outils de modulation et
demande après modulation pour le 4 Janvier
Conso Après Modulation sc1 Conso Après Modulation sc2 Conso Après Modulation sc3
Remplissage de la batterie Part effacement Chauffage Part décalage ECS
Part effacement Froid
Aggregated
capacity
+ Lead time
+Time slot
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Demande journalière foisonnée de Chauffage d'un
abonné résidentiel avec et sans modulation
Demande avant modulation Demande après modulation
Financial aggregator
Technical aggregator of
industrial & residential
flexibility
Balancing
market
Balancing
market

17. EXPLICIT DR USE CASE – ACTIVATIONEXPLICIT DR USE CASE – ACTIVATION
J – 1 J
Aggregated
Demand
management
program activation
0,00%
20,00%
40,00%
60,00%
80,00%
100,00%
120,00%
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
kW
Programme de gestion des outils de modulation et
demande après modulation pour le 4 Janvier
Conso Après Modulation sc1 Conso Après Modulation sc2 Conso Après Modulation sc3
Remplissage de la batterie Part effacement Chauffage Part décalage ECS
Part effacement Froid
Technical aggregator of
industrial & residential
flexibility
H-t
Activate DR
program
Automated
DR program
End user
notification
End user
notification
End user
notification
End user
notification

18. EXPLICIT DR USE CASE – DELIVERYEXPLICIT DR USE CASE – DELIVERY
J – 1 J
H
DR program
launch
H + 1
Aggregated Real
Time Load curve
Smart agents Real
Time adjustment if
slipping
Smart agents Real
Time adjustment if
slipping
Technical aggregator of
industrial & residential
flexibility

19. EXPLICIT DR USE CASE – FEEDBACK & SELF LEARNINGEXPLICIT DR USE CASE – FEEDBACK & SELF LEARNING
J – 1 J
H + 1
DR program data
analysis
Technical aggregator of
industrial & residential
flexibilityCapacity availability
Load shed volume
Statistics
End user
feedback
End user
feedback
End user
feedback
End user
feedback
Load shed volume
Individual & collective impact
Eco-district usage
modeling update
0
10 000 000
20 000 000
30 000 000
40 000 000
50 000 000
60 000 000
70 000 000
RP avec
chauffage
électrique
RP sans
chauffage
électrique
RS avec
chauffage
électrique
RS sans
chauffage
électrique
Professionnels Eclairage
public
kWh
Répartition des consommations par usage et par type de
clients
Ventilation
Eclairage Public
Autres
Moteurs
Eclairage
Loisir
Tech. Informatique
Froid Alimentaire
Electroménager
Climatisation
Agriculture
Cuisson
ECS
Chauffage
Feeders scoring
update

20. www.ijenko.com
IJENKO SA
49 Rue Fernand Pelloutier
92 100 Boulogne-Billancourt
www.ijenko.com
Contact
Rhita CHATILA
Marketing Product Manager
rchatila@ijenko.com
contact@ijenko.com