workshop 1: technology: data, analytics and platforms for ...€¦ · digital services for energy...

RSM - a force for positive change

Workshop 1: Technology: data, analytics and platforms for a smart energy port systemIlhan Ünlü (Blocklab) and Milos Cvetkovic (TU Delft)

Miloš Cvetković

Assistant Professor

Electrical Sustainable Energy Department

Delft University of Technology

Background

Massachusetts Institute of Technology

Carnegie Mellon University

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Areas of interest

Energy system integration

Energy flexibility

Modeling and simulations of energy systems

Active projects

Heat and power systems at industrial sites and harbours

Enabling ancillary services by renewable energy sources

Ilhan Ünlü

Technology Lead @ Blocklab

Background

Computer Science & Management

Mainly DLT-tech and everything surrounding it

for the last 3 years.

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Blocklab Projects:

Energy

- Energy trade platform for

communities & Flexibility with virtual agents in

cooperation with S&P Global Platts.

- 4 POC's launched on Energy

- Open energy hub (OEHU launched)

- Collaboration with TU-Delft, RSM & HRO.

Supply-Chain / Logistics.

- DELIVER with ABN-Amro & Samsung

Technology: data, analytics and platforms for a smart energy port system

Energy transition and digitalization

Energy transition

CO2 emission reduction

Electrification/hybridization of industrial processes

Phasing out of natural gas

Transportation electrification

Self-sufficient energy communities

Digitalization:

Data acquisition and analytics

Machine learning methods

Digital twins

Blockchain

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What is the digital energy future of the port?

Image: Siemens


Digital energy future of the port

Digitalization of logistics

digital quay walls

blockchain for port logistics

truck platooning

Smart energy and industry

wind at sea

system integration energy

power-2-gas-2-refineries

power-2-hydrogen

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http://smart-port.nl/en/smartport-community/#rm1


Outline of workshop 1

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The fundamentals of data-enabled energy balancing

Digital services for energy balancing

Blockchain as the foundation

Machine Learning for energy balancing and offering flexibility


Energy balancing and flexibility

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Figure: Flexibility in 21st Century Power Systems, NREL, 2014 O2H2

Flexible consumptionGrid size storage and conversion

Conventional generation

$ New markets and services

Data analytics

Source: Jose Rueda TU Delft, Illustration inspired on the presentation “Modelling of Future Distribution Networks: State-of-the-Art and Challenges” by Prof. Luis Ochoa, 26th June 2015.

Data-enabled energy balancing

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What kind of energy and flexibility resources could the port cluster deploy for energy balancing?


Presenter

Presentation Notes

Does it have the internal resources to form a self-sufficient energy community? Does it need to rely on external parties (ng plants, etc.)? Who owns these resources?

The roles in energy balancing

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Figure: Universal Smart Energy Framework, John Hodemaekers, Barcelona, 2017.



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What kind of market rules should the port cluster use for energy and flexibility trading?


Presenter

Presentation Notes

Can we just follow the sequential market structure of the wholesale market? Do we need special considerations? Peer-to-peer or auction?


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How do you see energy balancing becoming more efficient in the future with larger digital presence?


Presenter

Presentation Notes

In particular, how would energy sharing platforms make things easier? These are industrial processes, we know well ahead of time their schedules, less variations, so we need a crystal ball to predict weather…

Digital services for energy balancing

Energy balancing services based on data

weather forecasting

power production forecasting

energy price forecasting

portfolio optimization

efficiency optimization

strategic bidding

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Digital solutions

Open source frameworks / libraries

energy matching platforms

data lakes + Machine learning

digital twins

serious gaming

visualization platforms



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What kind of data-based digital services could be of value to the parties of the port cluster?


Presenter

Presentation Notes

For energy balancing of course. These kind of services could be weather forcasting, data analytics, etc.


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To which extent data sharing could be reached considering privacy vs. openness of different type of data?


Presenter

Presentation Notes

Who owns the data? Who collects it? Which ones should be available to all parties? Which ones are private to each organization?

Blockchain as the foundation for energy systems

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What is blockchain?

Blockchain technology allows for the

disintermediation and self-organisation of

transactional systems and reduces the need for

trust between stakeholders, builds a secure

value transfer system, increases record

transparency and can streamline processes

across entities (Hileman and Rauchs, 2017)


Bitcoin


The blockchain spectrum


Electricity production, distribution and consumption

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Presenter

Presentation Notes

- A big Planning aspect - A

Market Structure(s)


Versus


Presenter

Presentation Notes

1. Public blockchains enable interoperable applications 2. Public blockchains mitigate risks of disruption �

In which part of the port cluster can blockchain have an

impact on energy balancing ?


Presenter

Presentation Notes

Registry of assets , shared assets, certificates of origin, exchanges, IOT registries.

How can blockchain change the energy market structure of

the port?


What would p2p trading activate in the port cluster?


Presenter

Presentation Notes

Price discovery Decentrazlied exchanges Flexibility trading / curtailment calls

Machine Learning for energy balancing


Decentralization & AI

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AI• Automated industry and commerce• (decision making) Assistants

Decentralization• Reliable automated computation.• Distributed Governance

Intelligence

Autonomy

Decentralized-AI• Self-owning, self-operating agents• Autonomous organizations


Would you delegate this control center to a virtual agent?


Should AI act in an advisory role or in a decision maker’s

role?


Which tasks could be delegated to the agents?


Which data should be used to train the agents?


Do we see a self-benefit approach towards agent

intelligence, or a common-good approach?


Thanks for your participation!

Ilhan Ünlü Miloš Cvetković


workshop 1: technology: data, analytics and platforms for ...€¦ · digital services for energy...

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