how energy systems modelling supports decision making · cv • previous research • multi-energy...
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Mohamed Tahar Mabrouk PhD, Ing, IMT Atlantique
How Energy systems modelling supports decision making The example of District Heating Systems
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
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
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
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
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
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
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
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
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
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
Data process
Ex. Thermal characteristics
Model calibration
Forecasting
Input data
CV • previous research • Multi-energy networks • MySmartLife • Other applications 12
Ex. Consumption Typology
Model calibration
Forecasting
Input data
Data process
CV • previous research • Multi-energy networks • MySmartLife • Other applications 13
Ex. Return temperatures
Model calibration
Forecasting
Input data
Data process
CV • previous research • Multi-energy networks • MySmartLife • Other applications 14
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
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
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
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
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
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
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
Thank you ! Any questions ?