opti-mization is the new mantra · opti-mization is the new mantra results and perspectives of the...
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38th Euroheat & Power Congress14-16 May 2017, Glasgow, United Kingdom
Organised by
OPTi-mization is the new mantra
Results and perspectives of the OPTi-ProjectWolfgang Birk
The project has received funding from the European Union's Horizon 2020 Programme under grant agreement n° 649796
A Typical Scenario
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A glimpse on the complexity:• > 46000 pipes• > 800km total pipe length• > 9000 buildings
A Typical Scenario – High level view
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Temperature
Temperature
Temperature
Load
Load
Load
Supply
SupplySupply
Supply
A Typical Scenario – Low level view
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Diff. pressure
Diff. pressure
Diff. pressure
Diff. pressure
Supply Temp
Supply Temp
Supply Temp
Return Temp
A Typical Scenario – Some Reflections
What is missing?
•The control system usually remains invisible.
• It is also assumed it works properly and is well tuned.
In that context:
• Is the control strategy really optimal?
•Are the controllers adequate?
•Are all components really adequate?
•Do we really need to supply the determined amount of heat/cold?
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OPTi – Approach
• Develop OPTi-Sim which is a full scale dynamic virtual twin.
• Design the OPTi-Framework by combining OPTi-Sim with components for control and optimization, economic assessment, and user analysis.
• Involve end-consumers
• Gender perspective.
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OPTi – Framework as an architecture
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Optimisation on all levels
In OPTi, the hierarchy of the optimisation and control approach makes use of three layers:
• Low-level control of pumps, valves and production units. This includes control configuration selection and design of controllers.
• Optimisation based control of the DHC system by adjusting set points for the low-level control. This includes the consideration of forecast information.
• Optimisation of operation considering (A)DR strategies and production scheduling.
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DHCSystem
LowLevel
control
optimisationbased
control
optimisationof operation
O3
OBC
LLC
Control and optimisation approach
The control and optimisation approach considers certain phenomena (top)and makes use of certain methods (bottom):
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DHCSystem
LowLevel
control
optimisationbased
control
optimisationof operation
(A)DR tools
MarketConsumersDemands
Environmental factors
Supply curveoptimisation
Model predictivecontrol
Pareto seekingcontrol
Control configurationselection
Low-level controllers, e.g. PID-type,
Extremum seeking
OPTi-Sim – The virtual twin as the basis
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Answers:
• Are controllers and components adequate?
Enables:
• Design & Validation
• Re-design
• Testing/Piloting
• New Idea? – No.
• In large scale with full dynamics? – Rarely and usually not flexible.– Control system usually not considered
• Luleå grid: > 10,000 consumers, > 46,000 pipes, 4 production units, sensors, pumps, valves
• Need for network reduction, simplification and automatic generation of dynamic models
OPTi-Sim: Automatic model generation and simplification
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Reductionalgoritms
Automaticmodel
generation
FMU
GIS data
Advantage: Can be regeneration as soon as changes occurs!
Identifying grid control strategy with ProMoVis
Answers:
• Is the control strategy optimal?
Background:
• Achievable performanceis limited by the chosencontrol strategy
• Low level control strategiesaffect on all levels
Enables:
• Optimal selection of controlstrategies
• Decision making/support
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Automated DR Design Tool - GUI
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Answers:•Where to supply heat and how
much?
Enables:•Selection of target users•Provides the needed amount
of incentives
New idea?•Originates from the smart grid area• It is now adapted to DHC
Virtual Knob Concept – Understanding the user
•Enables the use of live feedback from the consumers about their comfort.
•A simple, intuitive interface to express their experience of the comfort
•Ranging from ‘too cold’ to ‘too hot’.
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Virtual Knob
Answers:
• How much heat/cold is needed?
Enables:
• Active use of the comfort zonein optimization.
• Aids in widening the comfort zone
New idea?
• We believe so. Not the interface though.
• More testing is needed.
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Some Concluding Remarks
•In relation to the questions – we believe, we can provide the tools.
•The virtual twin is an enabling technology, but need to be flexible
•Interoperability of engineering tools is essential
•What is next:•Stakeholder involvement to meet the market!•Testing, testing testing…
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OPTi – Consortium
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Contacting us: www.opti2020.eu, [email protected], or on LinkedIn/Twitter