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Similaire à Energy Economics Christian Feisst (20)
Energy Economics Christian Feisst
- 1. 1
© GreenCom Networks GmbH all rights reserved
26th September, 2013
Technology enabling new business models for a
distributed future energy world
KSRI Summer School
- 2. 2
© GreenCom Networks GmbH all rights reserved
GreenCom Networks – What we Do
• White-label SaaS platform
provisioning
• Enabling managment of demand,
supply and storage capacity within
Virtual Power Plants for utilities and
ESCOs
• „Activating“ utilities‘ and ESCO‘s
customers through „Customer
Engagement“ applications
• Enabling business models of the
future for our utility and ESCO
customers
What we Do:
- 3. 3
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Where we Are:
München (HQ)Sophia Antipolis (DC)
• Smart City
Engagements
North America
• Mgmt. Distributed
Generation
• Virtual Powerplants
• Micro Grids
• Smart Homes
Europe
• Eco Village
Asia
• Residential Villa
Middle East
• Load Control
• Customer
Engagement
Africa
- 4. 4
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q Changing Energy Environment
q Technology-Enabled Solutions
q Examples of Implementations
Agenda
- 5. 5
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Cleantech and communication technology lead to a
paradigm shift in the utility industry
Energy Supply
§ Central convential power generation
§ Central system management
§ Consumers or End Points
Old World New World
Energy Management
§ Central and distributed power
generation based on conventional
and renewable sources
§ Central and distributed system
management
§ Customers and Prosumers
- 6. 6
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Connecting distributed devices – 20x more grid nodes
than today‘s Internet
Distribution
(4.5m nodes)
Transmission
(60k nodes)
90-100% telecontrolled 0-10% telecontrolled
The Real Internet of Things!
Home/Office
Devices
(40bn nodes)
Photovoltaic
Heat
Pump
Micro
CHP
Electric
Vehicle
Storage
Appliances
Missing Link
Power Generation
(100k nodes)
Network
Control Center
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What if we can create an operating system for the
distributed energy world?
ENERGY INFORMATION BROKERAGE PLATFORM
Distribution
(4.5m nodes)
Power Generation
(100k nodes)
Transmission
(60k nodes)
Home/Office
Devices
(40bn nodes)
Photovoltaic
Heat
Pump
Micro
CHP
Electric
Vehicle
Storage
Appliances
Network
Control Center
- 8. 8
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The Potential
Residential Customers
Heat Pump
1-10 kW
Electrical Water
Heater
9-30 kW
Electrical Floor
Heating
1-5 kW
Air
conditioning
1-3 kW
Pool
Pump
9-30 kW
Photovoltaic
1-10 kW
Micro CHP
1-10 kW
Stationary
Storage
5-25 kWh
Electric
Vehicle
20-80 kWh
Commercial Customers
Heat Pump
5-2,000 kW
Air-cooler
5-2,000 kW
Production
Processes
5-15 kW
Air
conditioning
5-20 kW
Circulation
Pumps
9-30 kW
Photovoltaic
1-10 kW
Mini CHP
10-100 kW
Stationary
Storage
30-100 kWh
Electric
Vehicle
20-80 kWh
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Germany – Significant distributed capacity available, with
high growth-rate
Status Quo 2011/2012 Forecast 2020
Solar PV
1.2m installed base
(30 GWp capacity)
2.5m installed base
(65 GWp capacity)
Heat Pumps
450k installed base
(4,5 GW capacity)
1.1m installed base
(11 GW capacity)
Micro CHP
32k installed base
(160 MW Leistung)
40k installed base
(200 MW capacity)
Electric Vehicles Minimal penetration
1 Mio. zugelassene Fahrzeuge
(15-25 GW capacity)
Consuming Devices /
Climatisation
Millions
(25-30 GW capacity)
Millions
(25-30 GW capacity)
Source: Bundesverband Solarwirtschaft e.V; Bundesverband Wärmepumpe e.V.; Bundesverbrand Kraft-Wärme-Kopplung e.V.; Bundesumweltministerium;
Prof. Stadler
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Duration (h)
0
5
10
15
20
25
30
-12
-8
-4
-0
4
8
12
16
20
PositiveBalancingCapacity(GW)
71
61
51
41
31
21
11
1
Temperature (°C)
Source: Prof. Stadler, 2005
Balancing capacity potential Germany through Demand
Response
Max. peak load
About 80GW
Balancing capacity
potential
about 25-30 GW
for 1 hour
30% balancing capacity
through Demand
Response
~€1.2Bn theoretical value of
balancing capacity
Distributed energy products – Offering balancing capacity
through load control
- 11. 11
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• Expected renewables build out will lead to
severe problems for base load power stations
• Between 2015 and 2020, available renewables
capacity will exceed demand for certain hours
of the year
• Baseload power stations (nuclear and lignite)
would have to be stopped theoretically for
certain hours
• Baseload stations technically cannot be
stopped, which leads to significant negative
wholesale prices and significant losses of about
€1Bn/a for baseload generators
• Demand Response is able to resolve this by
peak shifting
Implications for Baseload GeneratorsLoad Duration Curve Germany2009 vs. 2020
2000 4000 6000 80000
-10
0
10
30
50
70
90
Hours
Load
(GW)
2009
Source: Study with large European Utility
Distributed energy products – Improved utilization of
baseload plants through distributed energy management
2009 less Wind and PV Feed-ins
2020
2020 less Wind and PV Feed-ins
2020 less Wind and PV Feed-ins, incl. Load Management
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© GreenCom Networks GmbH all rights reserved
80706050403020100
GW
3,000
7,000
6,000
5,000
4,000
2,000
1,000
0
Distributed energy products – Load management to delay
extension of power generation capacity
Options to close expected power capacity gap in Germany
Generation
Full Cost
€/kW1
German Capacity
Gap until 2020
Offshore Wind
Power Includes
CCGT Reserve
Bio-
Mass
New
Build
CCGTHard Coal
Lifetime
ExtensionNew Build
Hard Coal
Industrial
CHP
Nuclear Lifetime
Extension
Grid
Auto-
mation
Load Shifting
1 Full cost NPV over period 2009–2020. CO2 cost assumed at 25 €/t, no subsidies considered; operating hours based on expected merit order
curve
Source: Large European Utility
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Distributed energy products – Active customer
management for top- and bottom-line optimization
• Improved service
quality
• Reduced customer
care cost
• Lowered churn-rates
• Increased revenue
per customer
through energy
management
services
• Improved gross
margins
• Analyses of
customer behaviour
• Customer segment
analyses for portfolio
optimization
• Tailored products at
competitive tariffs
• Reduced peak load
consumption
• Smoothed overal
load within portfolio
Procurement
Optimization
Customer
Profiling
Customer
Satisfaction
Value-Added-
Services
Total benefits: contractual
distribution with end
customer, see next slide
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Distributed energy products – Benefits will be distributed
between ESCO and end customer
• Consumption shift
for tariff optimization
• Ø residential
customer: €20-60/a
• Ø commercial
customer:
€400-1.000/a
• Heat pumps/ Electr.
Water heating: €15/
kWel/a
• PV: €30/kWp/a
• Micro/Mini CHP:
€50/kWel/a
• Storage/EV: 1,5 ¢/
kWh
• Ø residential
customer: €30-40/a
• Ø commercial
customer: €400-500/
a
• Enhanced service
quality
• Improved customer
satisfaction
Service
Increased
Energy
Efficiency
Reduced
Electricity Bill
Optimized
Utilization of
Distributed
Generation
Source: GreenCom simulation with large European utilities
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q Changing Energy Environment
q Technology-Enabled Solutions
q Examples of Implementations
Agenda
- 16. 16
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Building up an Internet of Things
Home
Access
Router
Smart
Meter
Smart
Plugs
Monitored &
Managed Appliances
Other Sensors &
Actuators
Smart Appliances
DG Coms
Module
Distributed Generation,
Storage, Electric
Vehicles
Sensor
Network
Meter Data
System (MDS)
Internet
Energy
Service
Gateway
Utility End Customer
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Enabling Energy Management Applications
Filed for Patent
" Architecture filed for EU-wide patent
Scalable
" Layered architecture approach
" Cloud based SaaS approach
" Key team with 30 man years of experience in
developing large-scale service delivery platforms
Replicable
" Solution focus on replicable customer segments
(Residential and SMB)
" Sensor abstraction layers for easy additions of
new devices
" Multi-tenant
Dynamic
" Dynamic optimization approach for load &
capacity management
Energy Information Brokerage Platform
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The “Virtualization” of the Energy System – GreenCom’s
VPP Manager
Transparency
• Enhanced aggregated load forecast
• Improved aggregated forecast of distributed generation
• Aggregated view on flexibility schedule to shift/shed
load and capacity based on
• Asset prioritisation scheme
• Contract terms
• History of utilization
Control Dash Board
• Schedule-based load and capacity shifting
• Tertiary Control functionality
• External data feeds for market conditions
Key Features
Objectives
• Inform utility retailers about flexibility schedule for load and distributed capacity
• Provide utility retailers with tools to shift and shed load and capacity
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The Principle
Local OptimizationMarket
Prices
Weather
Forecasts
Trading
Policies/
Regulation
Aggregated
Flexibility
Schedule
• Flexibility
• Reliability
• Cost
Energy Information
Brokerage Platform
• Data exchange between homes/
buildings and market
• Load and capacity forecast
engine
• Central Energy Control Price
calculation
• Connection engine to homes/
buildings
Retail
Grid
Photo-
voltaic
Heating/
Cooling
Micro
CHP Pumps
Electric
Vehicle
Storage
Appliances
Local Flexibility
Schedule
Utilities
- 20. 20
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Integrating End Customers – Landing Page Example
Residential Smart Meter Portal
- 21. 21
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Integrating End Customers – Example Consumption
Visualization Residential Smart Meter Portal
- 22. 22
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And Their Distributed Generation – Photovoltaic Control
Example
- 23. 23
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And Their Distributed Generation – Micro CHP Control
Example
- 24. 24
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Enriching with External Data Feeds – Photovoltaic
Control Example
- 25. 25
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And Utilizing Mobile Storages – Electric Vehicle Control
Example
- 26. 26
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q Changing Energy Environment
q Technology-Enabled Solutions
q Examples of Implementations
Agenda
- 27. 27
© GreenCom Networks GmbH all rights reserved
Example City Power Johannesburg – Distributed energy
management to stabilize the electrical system
South Africa's national grid came within a
hair's breadth of overloading last week,
suggesting the region's top economy is
going to battle to keep the lights on with the
approach of the southern hemisphere
winter.
State-run power utility Eskom said on
Monday that demand last Thursday peaked
at 32,081 MW and was met by a supply of
only 32,103 MW - a gap of just 0.06
percent.
This means that an unexpected problem at
a power station or a surge in demand on
that day would have tripped the national
grid.
JOHANNESBURG
(Reuters, May 6th, 2013)
• Intensifying public education and awareness programs to
mobilize support from households, communities and other
stakeholders, especially business;
• Improving and better coordinating the communication about
load shedding coming from the City, City Power and Eskom;
• Accelerating demand-side management initiatives that will
have an immediate and substantial effect;
• Increasing the supply capacity of local independent power
producers and other co-generators, especially heavy
industry; and
• Developing appropriate policies and legislation that will
encourage users to incorporate demand-side management in
their operations and businesses; this will be supported by
comprehensive education and awareness campaigns as well
as incentives for compliance.
City of Joburg’s “Electricity Plan”
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Example City Power Johannesburg – Distributed energy
management to stabilize the electrical system
Smart
Meter
Meter Data
System (MDS)
Home
Access
Router
Internet
Energy
Service
Gateway
El. Water Heating
Pool
Pump
250.000 Residential Customers
20.000 Commercial Customers
SCADA System
City Power
VPP Manager
- 29. 29
© GreenCom Networks GmbH all rights reserved
Example British Gas – Distributed energy management to
optimize procurement
Home
Access
Router
Internet
Energy
Service
Gateway
White
Goods
Up to 2 Mio. Residential
Customers until 2020
SCADA System
Northern Power Grid
VPP Manager
Heat
Pump
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Example digitalSTROM – Local energy optimization
Home
Access
Router
Internet
digitalSTROM
Server
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Questions
GreenCom Networks GmbH
Dr. Christian Feißt
Chief Executive Officer
Ganghoferstrasse 68
80339 Munich
Germany
christian.feisst@greencom-networks.com