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Integrating electrical and thermal domains - A case study of the Danish Technical University campus Thibaut Richert* (PhD student) Oliver Gehrke (Scientist) DTU - Energy System Operation and Management (ESOM) September 18, 2017

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Page 1: Integrating electrical and thermal domains - smart-cities-centre.orgsmart-cities-centre.org/.../uploads/...heating-network-–-DTU-campus.… · 18-09-2017  · What big picture are

Integrating electrical and thermal domains - Acase study of the Danish Technical University

campus

Thibaut Richert* (PhD student)Oliver Gehrke (Scientist)

DTU - Energy System Operation and Management (ESOM)

September 18, 2017

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Background & Context DTU campus Use cases Modelling Conclusion

Agenda

• Background - Context & Problemstatement

• DTU campus

• Use Cases

• Modelling experience

• Conclusion

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Background & Context DTU campus Use cases Modelling Conclusion

Background & ContextWhat big picture are we looking at?

• Integrated energy systems

• Multi-carrier energy systems

• Multi-source multi-products energy systems

• Energy systems coupling

• Multi-domain energy systems (MES)

• ...

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Background & Context DTU campus Use cases Modelling Conclusion

Background & ContextWhat big picture are we looking at? - 4GDH and SMART GRID

credit: 4th Generation District Heating (4GDH): Integrating smart thermal grids into future sustainable energysystems - Lund et al.

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Background & Context DTU campus Use cases Modelling Conclusion

Background & ContextWhat will change?

What the future looks like in integrated energy systems

• Renewables

• Distributed energy resources

• Power-to-heat technologies

• Bi-directional flows

• Local heat injection

• Control aspect become crucial

• Communication will play a key role

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Background & Context DTU campus Use cases Modelling Conclusion

Problem statementWhat does this field of research lack?

What challenges are faced in integrated electro-thermalsystems

• Complexity

• Temporal and spatial

• Correlation of uncertainties

• Operational time scales

• What about control?

• Characterisation, aggregation &simplification

→ Properly described Use Cases (UCs) based on a holisticmethodology

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Background & Context DTU campus Use cases Modelling Conclusion

DTU campusOverview

Key figures

• ' 11.000 students

• ' 6.000 staff

• Roughly 2km2

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Background & Context DTU campus Use cases Modelling Conclusion

DTU campusSystem configuration - on Scale

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Background & Context DTU campus Use cases Modelling Conclusion

DTU campusSystem configuration - Simplified

Key figures

• 68 Loads

• 126 Nodes

• Loops

• 3 critical points - Bypass

• 2 supply loops

• ' 60.000 MWh/year heat

Potential

• 12MW of cooling (peak)

• 6MW of cooling installed

• Heat is wasted9 / 20

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Background & Context DTU campus Use cases Modelling Conclusion

DTU campusSystem configuration - Future Heat pump I

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Background & Context DTU campus Use cases Modelling Conclusion

DTU campusSystem configuration - Future Heat pump II

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Background & Context DTU campus Use cases Modelling Conclusion

DTU campusSystem configuration - Future Heat pump III

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Background & Context DTU campus Use cases Modelling Conclusion

Use casesMapping to DTU campus

• UC1 Decentralized feed-in in the DHnetwork

• UC2 District heating system providingancillary services to the electrical system

• UC3 Electrical system providing servicesto the heat distribution system

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Background & Context DTU campus Use cases Modelling Conclusion

Use casesHolistic view

System configurationDomains refer to all physical or cyber-components belonging to a class of infrastructure

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Background & Context DTU campus Use cases Modelling Conclusion

UC2 - DH provides ancillary services to the electricalsystem (TSO/DSO):

• Need for balancing - ancillary services

• Proliferation of DERs (e.g EVs)

• Aggregation

• Emergence of new market platform

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Background & Context DTU campus Use cases Modelling Conclusion

UC3 - Heat peak-load shaving (mainly small) - Electricalsystem providing service to the heating system

• Heat load forecast

• Time lag (e.g due to high inertia)

• Change in operation of DH networks

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Background & Context DTU campus Use cases Modelling Conclusion

Modelling toolsRequirements

Dynamic models are essential to understand interaction and char-acterize propagation of transient response from one system to an-other during normal and abnormal operation.

• Temperatures, flows, pressures, energy and power for theHeating domain.

• Energy, power, flows, voltage, frequency for the Electrical

• ICTs are beyond the physical coupling but of paramountimportance when considering control aspects of thesecyber-physical systems.

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Background & Context DTU campus Use cases Modelling Conclusion

Modelling experience

• Modelling DH network is one ”simple” thing

• Many tools exist

• Holistic vision becomes limiting

• API/co-simulation capable tools

• Co-simulation is a good candidate

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Background & Context DTU campus Use cases Modelling Conclusion

ConclusionWhat is next?

• UCs designed and representative of the future (hopefully)

• Dependant on external factors (i.e markets, policies,technologies)

• Maximize asset use

• DTU campus network is an interesting case study

• Data is key

• No single tool exists to address all UCs

• Co-simulation platform?

• Object-oriented, multi-domain modelling - Modelica?

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Background & Context DTU campus Use cases Modelling Conclusion

Conclusion

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