OPTi-mization is the new mantra · OPTi-mization is the new mantra Results and perspectives of the OPTi-Project Wolfgang Birk The project has received funding from the European Union's

38th Euroheat & Power Congress14-16 May 2017, Glasgow, United Kingdom

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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