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Sean Lyons 26th January 2016
TSSG
• Founded: In 1996, has 100+ researchers (112 people) in Waterford.
• Expertise: is a leading software R&D Centre with particular expertise in network, mobile
and communications services.
• Science: is a leading SFI funded SRC Centre working with IBM, Cisco and Alcatel-Lucent.
• International: is one of Ireland’s leaders in the EU collaborative R&D programmes
(FP7/Horizon 2020) and has worked with over 450 companies on these programmes.
• Industry: completed over 110 direct industry projects in Ireland over the past 5 years and
has spun out a number of leading international start-ups such as FeedHenry Ltd
27/01/2016 www.tssg.org 2
Telecommunications Software & Systems Group
Storage
Battery, Thermal,
Pumped Hydro, CAES
Load – Selectable,
Predictable
EV’s, Thermal, Pumping, Data Centres
Market
SEM Pricing
Wind Forecasting
Tariffs
Demand Prediction
DSU’s AGU’s
Distributed Generation
Renewables – Wind, Solar
CHP
SECO
Smart Energy
Cluster
Optimisation
SECO – Smart Energy Cluster Optimisation
3
SECO ‘ties it all together’
New paradigm
• Supply/Demand balancing
• Requirement to cater for
Intermittency & Variability of
Renewables
• Energy Conservation, Energy
Efficiency, De-carbonised
energy
• Mandatory EU Targets
The Problem & Opportunity Identification
Old paradigm
• 100% Demand driven
• Large Centralised Power
and Old, Unidirectional
Infrastructure
• Inefficiencies, e.g. Spinning
Reserve
• 29% of ETS* CO2 emitted
by the power industry
Transition will not occur with a
‘Top Down’ Approach
* ETS + EU Emissions Trading Scheme
• Microgrids not alone reduce the cost of energy to the end
consumer
• ++ the balancing/ramping/frequency/voltage services can be
sold to the grid operator – Ancillary Services
• ++ microgrids are a tangible manifestation of Smart Grid that
enable the further evolution of Smart Grid
Why Solve It?
• but allow the consumer to make
profit on their energy by
exploiting arbitrage opportunities
in the electricity market
• Intelligence gives Control – turn
Consumers into Prosumers
• Smart Grid must put the ‘End User’ in the Centre
• Incentivise behaviour – Dynamic Tariffs
• Facilitate Distributed Generation
• Control = Power = Playmaker
• Consumer Participation
• Intelligent Decision System
Solution
Where’s the Money?
0
50
100
150
200
250
300
0
500
1000
1500
2000
2500
3000
3500
4000
00:00
1:00
2:00
3:00
4:00
5:00
6:00
7:00
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
1/15/2014
Original MRSO Data
Optimal MRSO Data
SMP Data (EP2)
SMP Data (EA2)
Load (kW) Price (€/MWh)
Market Price Fluctuations
Turn on/off load on
market signals
Benefits hierarchy - consumer
• Energy cost savings
• Energy arbitrage – profit opportunity
• Security of supply
– Availability & Price
• CSR (Green)
8
Benefits hierarchy – Grid Operator
& Energy Regulator
• Capacity
• Balancing/ramping etc
• De-Carbonised energy
• Energy independence
• Energy price
• Model the factory/cluster load to establish an
accurate profile with a view to predicting upcoming
demand and trends
• Integrate with market to optimise real time pricing
• Enable demand side management mechanisms
• Enable Distributed Generation technologies including
wind, CHP, battery storage, diesel generation, etc.
• Potentially trade power within the cluster (future)
• Model various scenarios to optimise and maximise
returns
• Model these scenarios versus acceptable risk profiles
thereby retaining control on site
SECO in Industrial Settings
• Stage 1 - Test bed sites in Industrial Load Centres
• Stage 2 – Enabling Virtual Power Plants with
complimentary vertical partners
- Storage Technologies
- Distributed Generation
- Voltage Optimisation
- Ancillary Services
- EMS Systems
• Stage 3 - Microgrid partners in UK, EU and US
Route to Market
• New Paradigm
• Green Wave of Innovation
• Prosumers
• Energy Independence
• Low Carbon Economy = 6th Wave
• Ancillary Services/Negawatts – DSM, VPP, VNM,…….
All need Intelligence and Control to be effective
• Hierarchy of Smart Grid – Dynamic Tariffs, Consumer
Participation, Control, RE, Decision Systems
The Future
12
• SECO Algorithms and platform
– developed by PhD level Optimisation experts
– exclusive license from TSSG (WIT)
• Extensive industry knowledge input to platform
– Principal Investigator, Concept Developer &
Promoter from the Energy sector
• TSSG expertise in development of high level software
and Optimisation systems
Intellectual Property
Thank you for your attention
Any questions?
Contact: Sean Lyons
slyons@tssg.org
051 302761

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Smart Energy Cluster Optimisation

  • 1. Sean Lyons 26th January 2016
  • 2. TSSG • Founded: In 1996, has 100+ researchers (112 people) in Waterford. • Expertise: is a leading software R&D Centre with particular expertise in network, mobile and communications services. • Science: is a leading SFI funded SRC Centre working with IBM, Cisco and Alcatel-Lucent. • International: is one of Ireland’s leaders in the EU collaborative R&D programmes (FP7/Horizon 2020) and has worked with over 450 companies on these programmes. • Industry: completed over 110 direct industry projects in Ireland over the past 5 years and has spun out a number of leading international start-ups such as FeedHenry Ltd 27/01/2016 www.tssg.org 2 Telecommunications Software & Systems Group
  • 3. Storage Battery, Thermal, Pumped Hydro, CAES Load – Selectable, Predictable EV’s, Thermal, Pumping, Data Centres Market SEM Pricing Wind Forecasting Tariffs Demand Prediction DSU’s AGU’s Distributed Generation Renewables – Wind, Solar CHP SECO Smart Energy Cluster Optimisation SECO – Smart Energy Cluster Optimisation 3 SECO ‘ties it all together’
  • 4. New paradigm • Supply/Demand balancing • Requirement to cater for Intermittency & Variability of Renewables • Energy Conservation, Energy Efficiency, De-carbonised energy • Mandatory EU Targets The Problem & Opportunity Identification Old paradigm • 100% Demand driven • Large Centralised Power and Old, Unidirectional Infrastructure • Inefficiencies, e.g. Spinning Reserve • 29% of ETS* CO2 emitted by the power industry Transition will not occur with a ‘Top Down’ Approach * ETS + EU Emissions Trading Scheme
  • 5. • Microgrids not alone reduce the cost of energy to the end consumer • ++ the balancing/ramping/frequency/voltage services can be sold to the grid operator – Ancillary Services • ++ microgrids are a tangible manifestation of Smart Grid that enable the further evolution of Smart Grid Why Solve It? • but allow the consumer to make profit on their energy by exploiting arbitrage opportunities in the electricity market • Intelligence gives Control – turn Consumers into Prosumers
  • 6. • Smart Grid must put the ‘End User’ in the Centre • Incentivise behaviour – Dynamic Tariffs • Facilitate Distributed Generation • Control = Power = Playmaker • Consumer Participation • Intelligent Decision System Solution
  • 8. Benefits hierarchy - consumer • Energy cost savings • Energy arbitrage – profit opportunity • Security of supply – Availability & Price • CSR (Green) 8 Benefits hierarchy – Grid Operator & Energy Regulator • Capacity • Balancing/ramping etc • De-Carbonised energy • Energy independence • Energy price
  • 9. • Model the factory/cluster load to establish an accurate profile with a view to predicting upcoming demand and trends • Integrate with market to optimise real time pricing • Enable demand side management mechanisms • Enable Distributed Generation technologies including wind, CHP, battery storage, diesel generation, etc. • Potentially trade power within the cluster (future) • Model various scenarios to optimise and maximise returns • Model these scenarios versus acceptable risk profiles thereby retaining control on site SECO in Industrial Settings
  • 10. • Stage 1 - Test bed sites in Industrial Load Centres • Stage 2 – Enabling Virtual Power Plants with complimentary vertical partners - Storage Technologies - Distributed Generation - Voltage Optimisation - Ancillary Services - EMS Systems • Stage 3 - Microgrid partners in UK, EU and US Route to Market
  • 11. • New Paradigm • Green Wave of Innovation • Prosumers • Energy Independence • Low Carbon Economy = 6th Wave • Ancillary Services/Negawatts – DSM, VPP, VNM,……. All need Intelligence and Control to be effective • Hierarchy of Smart Grid – Dynamic Tariffs, Consumer Participation, Control, RE, Decision Systems The Future
  • 12. 12
  • 13. • SECO Algorithms and platform – developed by PhD level Optimisation experts – exclusive license from TSSG (WIT) • Extensive industry knowledge input to platform – Principal Investigator, Concept Developer & Promoter from the Energy sector • TSSG expertise in development of high level software and Optimisation systems Intellectual Property
  • 14. Thank you for your attention Any questions? Contact: Sean Lyons slyons@tssg.org 051 302761

Notas do Editor

  1. If you consider an industrial estate or a large complex such as the Intel HQ in Leixlip, SECO looks at how to manage the energy demands of the many elements when you have many sources, including the grid, but also local wind turbines, solar panels, geo-thermal as well as a local generator and possible energy storage. SECO optimises this many-to-many problem to ensure demand is met and that the cost of energy is minimised.