Powerpoint presentatie Corporate NL. Cryogenic fuels (Bio).pdf · • Integration of cryogenic...

Cryogenic fuels (Bio)-LNG and Hydrogen in an optimised, ecological,

coupled, Hybrid Energy Network in a value chain context.

Prof.dr.ir. Jacques Dam

16 May 2019

2 5/17/2019 Klaipeda LNG forum 2019

How it started

With the signing of a strategic

collaboration program between the

Hanze, Klaipeda and TU/e universities

on 15th of June 2018 during the State

visit to Lithuania.

on

Cryogenic fuels (bio)-LNG and Hydrogen

in an optimized, ecological, coupled

Hybrid Energy Networks in a value chain

context.

• Future energy and fuel systems need flexibility to support variable and uncertain energy sources and demand.

• Combined Heat & Power (CHP) and Decentralized Energy Systems (DES) allow a better use of Renewables (RES) required additional flexibility

• Expected increase of LNG and H2 use, not only as natural gas storage and fuels but also as source of cold energy.

• Hybrid energy Networks (HEN), integration of the independent infrastructures offers flexibility by degrees of freedom.

• Integration of cryogenic fuels in energy systems has high Exergy efficiency, depending in the dependency level can offer also flexibility.


(Bio)-LNG and H2 education and research

Education is required on a coupled Energy, Economy and Legal Energy Future.

Erasmus+ and H2020 programs


H2020 program (will be issued early 2020)

Marie Skłodowska-Curie

Innovative Training Networks

European Industrial

Doctorates (EID) action

Erasmus+ innovation project (issued March 2019)

Development of International

Eduction in the field of Sustainable

Cryogenic Fuels, Green Mobility, and

Social Value Creation.

A sustainable fuel project.

The H2020 project develops the specific science for the Erasmus+ project.

The Erasmus+ focuses on:


Project-based trans-national collaborations between enterprises and students/staff

at higher education institutions in studying, modeling and testing of real life cases

dealt with from an interdisciplinary perspective, including engineering, law, and

social economic sciences.

Developing a standardized, general purpose, test and validation facility for (bio)-

LNG and Hydrogen and Coupled Energy Networks at EnTranCe, Groningen, the

Netherlands, and, in collaboration with Klaipeda University Lithuania, a similar

experimental facility in Lithuania.

The result will be an all-round professionals, who can competently work in the field

of applications of Cryogenic Fuels (LNG) .

Developing a numerical test environment backbone within the European

Technology Platform for Modeling, Simulation and Optimization (MSO).

Erasmus+ program partners Hanze University of Applied Sciences, the Netherlands

Development EnTranCe test environment for (bio) LNG and Hydrogen applications and networks.

Social economic and Legal program development.

Coupled energy networks.

Hydrogen technology.

Technical University Eindhoven, the Netherlands Mathematics (MOI, Digital Twins)

Fluid properties (LNG densification, LNG + H2 and additives)

Combustion (mixed cycles, thermal expansion + chemical combustion)

Klaipeda University Lithuania Learning teaching and training activities. (Prof.dr. Rima.Mickeviciene)

University of Trieste, Italy LNG application models

Cold energy recovery

Fuel cell technology


A new 3-letter acronym: MSO

MSO = Mathematical Modelling, Simulation, and Optimization: it entails

1. A Mathematical Model (a set of equations plus parameters and data) that

captures the conceptualization.

2. A Simulation that implement this model and captures the visualization

(making invisible things visible).

3. An Optimization that enhances the design process (making the design

realistic and optimal).

MSO contains the entire mathematical machinery!


Importance of MSO in educations. • MSO is an extremely important ingredient in our innovation-driven

society

• It requires cooperation between many different disciplines in order to produce accurate models, efficient simulation algorithms and reliable optimization techniques

Mathematics is often the missing component in most projects.

but

MSO is a key enabling technology

5/17/2019 Klaipeda LNG forum 2019 8

MSO: Digital Twin approach.

Digital Twins will make Modeling, Simulation and Optimization widely available &

appropriate to drive improved decision making to a level not seen before throughout

the entire life-cycle of engineered products and processes

• Digital Twins will generate a significant amount of data in addition to sensor data

• Machine Learning can play a role in managing the data and working with Systems

Engineering to determine what simulations are needed

A digital twin is a digital representation of a real-world entity or system. Digital

twins are linked to real-world objects and offer information on the state of the

counterparts, respond to changes, improve operations and add value.

5/17/201

9

Klaipeda LNG forum 2019 9

The Digital Twin Concept


Multi-disciplinary efforts to drive new MSO

paradigms closely linking with data analytics to

leverage the vision of digital twins

Next Generation Digital Twins

5/17/201

9

Klaipeda LNG forum 2019 11

MSO, Digital Twins

in our goals for

education and

research.


Example: A possible role of LNG in an Optimized Hybrid Energy Network

• Aim to develop mathematical methods for the optimization of multi-level, hybrid energy networks (HEN) that contain the commodities gas, electricity, heat and interlinks with the LNG downstream chain.

• The optimization is towards an optimal energy efficiency (minimal energy loss) and economy (maximum profit) scheme, using environmental, legal and political criteria and existing mono-energy networks as boundary conditions.

• Uncertainty: Variable and uncertain energy demand subject to wholesale market prices and system contingencies.


Problems

• Energy optimization problems are often-due to their underlying technical and physical processes-nonlinear and nonconvex, and some of the control decisions are of discrete nature.

• An appropriate mathematical modelling leads to large mixed-integer nonconvex problems which usually cannot be solved by standard solvers.

• Uncertainty regarding supply and demand is another challenge that has to be taken into account. For foresighted decision support we may develop forecast models for supply and demands.

• Moreover, the behavior of other market participants may also have an impact. Therefore, models feature both stochastic and game-theoretic components.


Economy

Emiss ion

Legal

Efficiency

LNGFuel

Preparation&

Production

LNGFuelChain

LNGStorage

CouplingsthroughØ ConversionØ Storage

Ø Adaptation

Regas

Hydrogen

Bio-Gas

Optimization:

NaturalGas

Combining

By Decentralized LNG regasification and cold

energy recovery (direct usage and

conversion)

Distributed pricing and control

Energy Hub Interconnectivity

Distribution logistic optimization minimizes

losses.

LNG in a Flexible, Optimized Hybrid Energy Network

LNG as part of the coupled hybrid energy network.

5/17/2019 15

Private and Industrial production and use of

energy.

Using existing and new energy network

infrastructures in a for energy and economy

optimized topology.

Multiple network and knowledge providers

and industrial partners

Klaipeda LNG forum 2019

Thank you for your attention


Prof.dr.ir. Jacques Dam

0651340300

Powerpoint presentatie Corporate NL. Cryogenic fuels (Bio).pdf · • Integration of cryogenic...

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