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Mohamed Tahar Mabrouk PhD, Ing, IMT Atlantique How Energy systems modelling supports decision making The example of District Heating Systems

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Page 1: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Mohamed Tahar Mabrouk PhD, Ing, IMT Atlantique

How Energy systems modelling supports decision making The example of District Heating Systems

Page 2: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Curriculum Vitae

Diplômes 1

PhD, mechanical engineering and energy, Université de Lorraine

Master’s degree, mechanical engineering and energy, Université de Lorraine

Engineering degree, energy engineering, ENSEM Nancy

2011

2011

2015

CV • previous research • Multi-energy networks • MySmartLife • Other applications 2

Page 3: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

CV • previous research • Multi-energy networks • MySmartLife • Other applications 3

Curriculum Vitae

Professionnal experience 2

Visiting researcher, KTH, Stockholm Post-doc researcher, ARMINES, IMT Atlantique, Nantes

Post-doc researcher, au LEMTA, Université de Lorraine, Nancy

PhD researcher, LEMTA, Université de Lorraine, Nancy

Consultant, AKKA Technologies

2017 - 2019

2016 - 2017

2012 - 2015

2011 - 2012

2019

Page 4: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

CV • previous research • Multi-energy networks • MySmartLife • Other applications 4

PhD research Work

Plate-form(E)3

Digital Platform for calculation and optimization Energy Efficiency and Environmental at different scales for industry (component/process/plant/territory)

Academic partners : LEMTA, CES (mines-Paristech), EPFL

Industrial partners : EDF R&D, IFP énergies nouvelles

ADEME

ANR

Research projects

MicroSol

Development of thermodynamic micro solar power plants for isolated sites

Academic partners : LEMTA, LEME

Industrial partners : Schneider Electric, CEA, Exoes, Exosun

Sujet : Modelling and optimization of hyprid solar power plants

Page 5: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Detailed modelling ad local optimization

Model simplification and coupling

Optimization of the whole system

Pcked bed thermocline storage

Power block : Organic Rankine cycle, Stirling engine

Choix technologiques Methodologie

PhD research Work

Solar field

Boiler

Thermal storage

Power block

Electrical generator

CV • previous research • Multi-energy networks • MySmartLife • Other applications 5

Page 6: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Some optimization results

Mono-objective optimization (LCOE)

Multi-objective optimization (LCOE and CO2 emission)

PhD research Work

CV • previous research • Multi-energy networks • MySmartLife • Other applications 6

Page 7: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Multi-scale research activities

Building envelope with innovative isulation materials

ORC energy conversion systems

Dynamic modelling and control of heat pumps

Local heat and mass transfer in storage systems

Combined cycles with solar integration

Local scale

System scale

CV • previous research • Multi-energy networks • MySmartLife • Other applications 7

Page 8: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

ORC

HP

Multi-energy networks

CHP

HG

EG

Modelling energy distribution (stady state & dynamic)

Modeling energy systems connected to the networks

Mono and multi-objective optimization

Location and sizing of systems

Production and storage dispatch

Optimization of the distribution (temperature and voltage levels)

New control strategies

Heating network

Electrical grid

CV • previous research • Multi-energy networks • MySmartLife • Other applications 8

Page 9: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Modelling the topology and systems

Tuning models

Typical days generation

Performance simulation and choice of best scenarios

Méthodologie Outils

In-house models

Inverse methods

Data analysis and clustering

Optimization / MCDA

Exemple of application : european project MySmartLife Case study : Nante’s district heating network

Multi-energy networks

CV • previous research • Multi-energy networks • MySmartLife • Other applications 9

Page 10: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

MySmartLife

3 light-house cities / 3 follower cities

Energy / environmental efficiency

Ex : refurbishments of buildings, renewable energies, clean transport and supporting ICT solutions

Integrated planning process

Urban Data platforms

CV • previous research • Multi-energy networks • MySmartLife • Other applications 10

Page 11: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

MySmartLife

Urban Data Platform

OPTIM Obj. functions

Optim. variables

MCDA Criteria evaluation

Cepat Data

Processing Model calibration

Forecasting

Input data

Cepat Model

CV • previous research • Multi-energy networks • MySmartLife • Other applications 11

Page 12: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Data process

Ex. Thermal characteristics

Model calibration

Forecasting

Input data

CV • previous research • Multi-energy networks • MySmartLife • Other applications 12

Page 13: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Ex. Consumption Typology

Model calibration

Forecasting

Input data

Data process

CV • previous research • Multi-energy networks • MySmartLife • Other applications 13

Page 14: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Ex. Return temperatures

Model calibration

Forecasting

Input data

Data process

CV • previous research • Multi-energy networks • MySmartLife • Other applications 14

Page 15: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

MySmartLife

Some case studies

Optimal energy systems management

Buildings retrofitting

Connection of new buildings

Recovering energy from return pipes for existing substations

Replacing existing heat exchangers

Assessing control laws of the secondary side

Modification of the supply temperature in the network

Reducing the temperature level in the secondary side

CV • previous research • Multi-energy networks • MySmartLife • Other applications 15

Page 16: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

MySmartLife

Some case studies

Optimal energy systems management

Buildings retrofitting

Connection of new buildings

Recovering energy from return pipes for existing substations

Replacing existing heat exchangers

Assessing control laws of the secondary side

Modification of the supply temperature in the network

Reducing the temperature level in the secondary side

Produced Energy [MWh]

Efficiency [-]

Energy savings [MWh]

Reference case 61.0 89.3 -

Lowering the supply temperature

60.8 89.7 0.28

Lowering the secondary side temperature (50% of substations)

60.0 90.9 1.07

Reduction secondary side temperature + extended HEXs (50% of substations)

59.8 91.1 1.22

CV • previous research • Multi-energy networks • MySmartLife • Other applications 16

Page 17: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

CV • Act. recherche • Projet de recherche • Act. pédagogiques • Projet pédagogique • Conclusion 17

MySmartLife

Some case studies

Optimal energy systems management

Buildings retrofitting

Connection of new buildings

Recovering energy from return pipes for existing substations

Replacing existing heat exchangers

Assessing control laws of the secondary side

Modification of the supply temperature in the network

Reducing the temperature level in the secondary side

Produced Energy [MWh]

Efficiency [-]

Energy savings [MWh]

Reference case 61.0 89.3 -

Assessing control laws 60.4 90.2 0.63

Retrofitting (-30% of Energy consumption for 50% of the buildings)

47.8 87.0 13.2

Page 18: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Multi-criteria decision

e.g. use case recovering energy from return pipes for existing substations

Criterion g1 : Energy savings [MWh].

Criterion g2 : Energy diagnostic of the substation.

Criterion g3 : Connection cost.

Criterion g4 : Potential acceptation by the owners.

Stakeholder 1 : user

Stakeholder 2 : operator

CV • previous research • Multi-energy networks • MySmartLife • Other applications 18

Page 19: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Scenario Connected substations g1 g2 g3 g4

1 Subs4 3.66 C 1 -

2 Subs4, Subs2, Subs1 3.84 B 3 -

3 Subs4, Subs3 3.88 B 2 -

4 Subs2 2.76 A 1 -

5 Subs1 0.14 B 1 +

6 Subs3 0.45 C 1 ++

Energy savings Energy diagnostic Connection cost Acceptation

Multi-criteria decision

Some results1 :

CV • previous research • Multi-energy networks • MySmartLife • Other applications 19

Page 20: How Energy systems modelling supports decision making · CV • previous research • Multi-energy networks • MySmartLife • Other applications 21 Other applications Optimal placement

Stakeholder/Scenario 1 2 3 4 5 6

User "Bad" "Good" "Good" "Good" "Good" "Bad"

Operator "Bad" "Good" "Good" "Good" "Bad" "Bad"

Veto operator 0.40 NA NA NA -

Compromise recommendation

Multi-criteria decision

Some results1 :

1 - M.T. Mabrouk, P. Haurant, V. Dessarthe, P. Meyer, B. Lacarrière, Combining a dynamic simulation tool and a multi-criteria decision aiding algorithm for improving existing District Heating, Energy Procedia, Volume 149, 2018, Pages 266-275

CV • previous research • Multi-energy networks • MySmartLife • Other applications 20

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CV • previous research • Multi-energy networks • MySmartLife • Other applications 21

Other applications

Optimal placement of heat pumps2 Dynamic modelling for control3

2 - G.T. Ayele, M.T. Mabrouk,P. Haurant, B. Laumert, B. Lacarrière, Optimal placement and sizing of heat pumps and heat only boilers in a coupled electricity and heating networks, Energy, in press 3 - M. Betancourt-Schwarz, M.T. Mabrouk, C.S. Silva, P. Haurant, B. Lacarriere, Modified Finite Volumes Method for the Simulation of Dynamic District Heating Networks, Energy, in press

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Thank you ! Any questions ?