Modelling and optimization of energy systems

ME-454

Media

ME-454 Modelling and optimization of energy systems

DOF process units and flowsheets

23.11.2023, 15:40

IPESE course - DOF process units and flowsheets October 16th 2023, 8:23:48 am

23.11.2023, 15:40

IPESE course - heat exchanger network design November 20th 2023, 2:15:48 pm

20.11.2023, 15:49

IPESE course - heat exchanger network design November 20th 2023, 2:15:48 pm

20.11.2023, 15:49

IPESE course - wind and hydro November 20th 2023, 11:16:08 am

20.11.2023, 12:53

IPESE course - wind and hydro November 20th 2023, 11:16:08 am

20.11.2023, 12:53

IPESE course - measurement reconcialiatoin and parameter identification November 20th 2023, 8:20:12 am

20.11.2023, 09:42

IPESE course - measurement reconcialiatoin and parameter identification November 20th 2023, 8:20:12 am

20.11.2023, 09:42

IPESE course -defijnig hot and cold streams November 13th 2023, 3:17:49 pm

13.11.2023, 16:05

IPESE course -defijnig hot and cold streams November 13th 2023, 3:17:49 pm

13.11.2023, 16:05

IPESE course - constitutive equations and resolution sequence November 13th 2023, 8:23:14 am

13.11.2023, 13:01

IPESE course - constitutive equations and resolution sequence November 13th 2023, 8:23:14 am

13.11.2023, 13:01

IPESE course energy conversion Solar Energy - November 13th 2023, 11:17:16 am

13.11.2023, 13:01

IPESE course energy conversion Solar Energy - November 13th 2023, 11:17:16 am

13.11.2023, 13:01

Solving non-linear optimization problems

27.10.2023, 17:49

IPESE optimisation - October 23rd 2023, 8:20:25 am

27.10.2023, 17:49

Solving linear optimization problem

27.10.2023, 17:45

IPESE optimisation - October 23rd 2023, 8:20:25 am

27.10.2023, 17:45

Solving strategies for an optimization problem

27.10.2023, 17:38

IPESE optimisation - October 23rd 2023, 8:20:25 am

27.10.2023, 17:38

KPIs

20.10.2023, 16:20

IPESE course - October 9th 2023, 8:21:13 am

20.10.2023, 16:20

Investment estimation

20.10.2023, 16:16

IPESE course - October 9th 2023, 9:26:39 am

20.10.2023, 16:16

IPESE course - October 9th 2023, 9:26:39 am

09.10.2023, 10:06

IPESE course - October 9th 2023, 9:26:39 am

09.10.2023, 10:06

KPIs and clustering

09.10.2023, 09:13

IPESE course - October 9th 2023, 8:21:13 am

09.10.2023, 09:13

Introduction to course and project MOES

06.10.2023, 14:44

Introduction and course concept

Modeling and optimisation of energy systems introduction

06.10.2023, 14:44

Introduction and course concept

Solving non linear equations

06.10.2023, 14:08

buildings and solving non linear equations

06.10.2023, 14:08

building demands

06.10.2023, 12:13

buildings and solving non linear equations

06.10.2023, 12:13

Modeling and optimisation of energy systems introduction

02.10.2023, 09:52

Introduction and course concept

Modeling and optimisation of energy systems introduction

02.10.2023, 09:52

Introduction and course concept

Miro 3 - Flipped class

13.12.2021, 13:03

Flipped class about T9-T12

MOES Project 2021

29.11.2021, 08:31

MOES Lecture 2021

29.11.2021, 08:28

MOES Miro 2021

29.11.2021, 08:29

Miro Session 1

23.11.2021, 11:17

Miro 2 - Flipped class

23.11.2021, 11:15

Lecture 2021 week 2

04.10.2021, 11:35

2021_Week14: Semester and Master projects @ IPESE

26.05.2021, 14:32

Short explanation of the projects available for next semester @IPESE.

2021_Week13: Oral exam procedure and Theory discussion

19.05.2021, 16:16

|1.I can explain what a state variable is and derive the degrees of freedom of a flow in a process | Jacopo Saracco, Justine Brun | https://miro.com/app/board/o9J_lGZDmw8=/

|2.I can explain what a constitutive equation is and how a thermodynamic model works | Marc Tognola de Quintana, Claire Marie Isabelle Bernier | https://miro.com/app/board/o9J_lFK97xs=/

|3.I can explain what the equations of a process unit are and I can formulate the equations for units like a compressor, a heat exchanger or a cogeneration unit and explain what the definition of the parameters in the model is. | Nicolas Jean Rospars, Olivier Jean Mathias Laferrère | https://miro.com/app/board/o9J_lDi44fs=/

|4.I can explain the flowsheet of a heat recovery system | Paul Arthur Guy de Durand,Raphaël Briguet | https://miro.com/app/board/o9J_lEMNI6E=/

|5.I can realize a degree of freedom analysis, define the specifications and explain what dependent and independent variables of a model are. | Samuel Martin Peter Meyer | https://miro.com/app/board/o9J_lDvaL1I=/

|6.I can explain how to solve a unit model using a sequentialapproach and I can explain the pro and cons of a sequentialapproach. | Sven Luca Menge, Vincent Paul Python | https://miro.com/app/board/o9J_lEZwrl8=/

|7.I can explain the solving methods that can be used in a sequential solving approach. | Wei-Sheng Hung, Xinghai Wang | https://miro.com/app/board/o9J_lECYIOU=/

|8.I can explain how to solve a unit model using a simultaneous approach and I can explain the pros and cons of this approach. I can give an example from my project. | Yexinlei Yang, Yuanjun Feng | https://miro.com/app/board/o9J_lEUhjBM=/

|9.I can explain what the relevant conditions for using a simultaneous approach are and how this approach compares with the sequential one. | Romain Lilian Douat, Timothée Benjamin Antoine Jaubert | https://miro.com/app/board/o9J_lDxHqeE=/

|10.I can explain how to analyze the degrees of freedom of a flowsheet and what is needed to reach zero degrees of freedom.I would be ready to apply it on a given energy conversion flowsheet. | Louis-Nicolas Paul Raymond Durand | https://miro.com/app/board/o9J_lDjmj_0=/

|11.I can apply the Motard method to define a sequence to solve a sequential modular simulation problem. I can explain what the difficulties of the sequential approach are. | Marguerite Lou Lavarini, Anaël Perruchoud | https://miro.com/app/board/o9J_lDu-5-Q=/

2021_Week_10: Theory discussion

28.04.2021, 19:34

|1.I can explain the possible type of usage of optimisation in energy system modeling | Dominik Blaser,Mouhannad Abou Daher | https://miro.com/app/board/o9J_lHHhFnY=/

|2.I can explain the problem of parameter estimation and explain how the problem is stated and solved. I can give an example on how it has been applied in my project. | Guillaume Pierre Nicolas Senentz,Pierre Thomas Robin Marie Bouquet | https://miro.com/app/board/o9J_lHglht8=/

|3.I can explain different strategies to state and solve an optimization problem. I can explain differences between black box, simultaneous, hybrid methods and explain pros and cons. | Antoine Ravetta,Olivia Marie Lucie Julia | https://miro.com/app/board/o9J_lIdJDBQ=/

|4.I can explain the different methods to solve optimization problems and explain what are pros and cons of each of them. | Charles Marc Célin Vuichard,Pål Forr Austnes | https://miro.com/app/board/o9J_lILgnNQ=/

|5.I can explain how to solve an unconstrained optimization problem. | Camila José Morales Undurraga, Matthieu Benoit C. Jacobs | https://miro.com/app/board/o9J_lIbDXTA=/

|6.I can explain how to solve a multi-variable unconstrained optimization problem. | Chiara Ongaro, Clara Emmanuelle Gualtieri Huguenin | https://miro.com/app/board/o9J_lHmWvV4=/

|7.I can explain what a Mixed Integer Linear Programming optimization problem is and how it has been used in the energy system optimisation project. | Daniel Gutierrez Navarro, Edouard Cattin | https://miro.com/app/board/o9J_lHl4Bh0=/

|8.I can explain what are the principles of a heuristic method for solving an optimisation problem and I can explain for which strategy it is used for and I can comment onthe associated pros and cons. | Gabriel Bessette, Hugo Pierre André Casagrande | https://miro.com/app/board/o9J_lIcYf-Y=/ 

2021_Week_9: part 4 updates (FM, JS)

21.04.2021, 12:32

2021_Week_8: part 3 and part 4 (FM, JG, JS)

14.04.2021, 10:55

Part 4 Project description - Project tasks

12.04.2021, 11:50

Part 4 tasks

  • Simulation / Flow sheeting
  • Measurements
  • Reconciliation
  • Performance analysis
  • Fluid selection

Part 4 Project description - Case study

12.04.2021, 11:49

Case study of P2G plant Solothurn

  • Simulation
  • Measurements
  • Reconciliation
  • Validation

Part 4 Project description

12.04.2021, 11:48

  • Project overview
  • Flowsheeting

2021_Week_6: Theory discussion

02.04.2021, 10:16

1.I can explain how to state an energy system model using 

mixed integer linear programming : what are the constraints, 

what is the objective function, what are the inequality 

constraints https://miro.com/app/board/o9J_lNcqQl0=/

2.I can explain the simplifying assumptions made to model the 

system with a linear programming problem. https://miro.com/app/board/o9J_lMgMz7c=/

3.I can explain how to model a heat pump with a simplified 

model based on temperatures https://miro.com/app/board/o9J_lNJAahw=/

4.I can explain how to calculate the operating cost of an 

energy system and explain how it has been done in the project https://miro.com/app/board/o9J_lNUFd-M=/

5.I can explain how to estimate the investment of an energy

conversion system. https://miro.com/welcomeonboard/TS4BQF5czyruVB8N4u920lPaMhgrIzMNVkL9MaxICyaMInYoRbuJAQSOXbWokhqc

6.I can explain how to calculate the key performance indicators of

an energy system. I can explain how to calculate the 

thermo-economic performance, and how to consider

the environmental and sustainability aspects. https://miro.com/app/board/o9J_lN5i340=/

VALI tutorial HP

30.03.2021, 10:22

  • Defining streams 
    • Mechanical 
    • Material 
  • Defining units 
    • Tags 
    • Compressor 
  • Heat pump first stage: compression

VALI tutorial

30.03.2021, 10:19

  • Opening VALI
  • Creating a first PFD
  • Defining thermods

2021_Week4_VM_AMPL by XL

18.03.2021, 18:01

2021_week3: Theory question by FM

10.03.2021, 13:38

2021_Week2 - Presentation of project part 1 (FM, DL)

03.03.2021, 10:25

2021_week1: course introduction by prof

24.02.2021, 16:36

Introduction of course by Prof

2021_week1: Presentation of tools and projects (FM, JG, XL, JS)

24.02.2021, 16:28

Francois, Julia, Xiang, Jonas

Examination procedure, MOO Introduction and Case Study Part 5 by JH & FM

13.05.2020, 17:00

MILP model complete by FM

01.05.2020, 16:47

Energy technologies - part 1 by FM

01.05.2020, 16:44

Introduction by FM

01.05.2020, 05:47

Thermo- economic analysis by FM

01.05.2020, 05:43

Degrees of freedom and process unit models by FM

30.04.2020, 15:50

Key performance indicators and multi objective optimisation by FM

30.04.2020, 13:49

Optimisation - heuristic methods by FM

30.04.2020, 13:48

Data reconciliation and parameter identification by FM

30.04.2020, 13:46

Defining a sequence application to the two stage heat pump by FM

30.04.2020, 13:44

Defining a resolution sequence by FM

30.04.2020, 13:43

Constitutive equations by FM

30.04.2020, 13:34

Solving an optimisation problem by FM

30.04.2020, 13:25

Solving strategies for optimisation problems by FM

30.04.2020, 13:16

Energy technologies - part 2 by FM

30.04.2020, 13:11

MILP model and typical days by FM

30.04.2020, 12:43

Solving equations by FM

30.04.2020, 12:20

Building model by FM

30.04.2020, 12:17

Presentation of the EPFL project by FM

30.04.2020, 12:15

"Where are we and what is next?" by FM

30.04.2020, 11:44

Data reconciliation Case Study by JG & FM

30.04.2020, 11:43

NLP Case Study by RA

30.04.2020, 11:41

MILP Case Study by XL

30.04.2020, 11:40

NLP example by FM

30.04.2020, 11:38

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

building demands

06.10.2023, 12:13

Introduction to course and project MOES

06.10.2023, 14:44

Introduction and course concept

Solving non linear equations

06.10.2023, 14:08

Investment estimation

20.10.2023, 16:16

KPIs

20.10.2023, 16:20

DOF process units and flowsheets

23.11.2023, 15:40

Solving strategies for an optimization problem

27.10.2023, 17:38

Solving linear optimization problem

27.10.2023, 17:45

Solving non-linear optimization problems

27.10.2023, 17:49

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33


Media

ME-454 Modelling and optimization of energy systems

DOF process units and flowsheets

23.11.2023, 15:40

IPESE course - DOF process units and flowsheets October 16th 2023, 8:23:48 am

23.11.2023, 15:40

IPESE course - heat exchanger network design November 20th 2023, 2:15:48 pm

20.11.2023, 15:49

IPESE course - heat exchanger network design November 20th 2023, 2:15:48 pm

20.11.2023, 15:49

IPESE course - wind and hydro November 20th 2023, 11:16:08 am

20.11.2023, 12:53

IPESE course - wind and hydro November 20th 2023, 11:16:08 am

20.11.2023, 12:53

IPESE course - measurement reconcialiatoin and parameter identification November 20th 2023, 8:20:12 am

20.11.2023, 09:42

IPESE course - measurement reconcialiatoin and parameter identification November 20th 2023, 8:20:12 am

20.11.2023, 09:42

IPESE course -defijnig hot and cold streams November 13th 2023, 3:17:49 pm

13.11.2023, 16:05

IPESE course -defijnig hot and cold streams November 13th 2023, 3:17:49 pm

13.11.2023, 16:05

IPESE course - constitutive equations and resolution sequence November 13th 2023, 8:23:14 am

13.11.2023, 13:01

IPESE course - constitutive equations and resolution sequence November 13th 2023, 8:23:14 am

13.11.2023, 13:01

IPESE course energy conversion Solar Energy - November 13th 2023, 11:17:16 am

13.11.2023, 13:01

IPESE course energy conversion Solar Energy - November 13th 2023, 11:17:16 am

13.11.2023, 13:01

Solving non-linear optimization problems

27.10.2023, 17:49

IPESE optimisation - October 23rd 2023, 8:20:25 am

27.10.2023, 17:49

Solving linear optimization problem

27.10.2023, 17:45

IPESE optimisation - October 23rd 2023, 8:20:25 am

27.10.2023, 17:45

Solving strategies for an optimization problem

27.10.2023, 17:38

IPESE optimisation - October 23rd 2023, 8:20:25 am

27.10.2023, 17:38

KPIs

20.10.2023, 16:20

IPESE course - October 9th 2023, 8:21:13 am

20.10.2023, 16:20

Investment estimation

20.10.2023, 16:16

IPESE course - October 9th 2023, 9:26:39 am

20.10.2023, 16:16

IPESE course - October 9th 2023, 9:26:39 am

09.10.2023, 10:06

IPESE course - October 9th 2023, 9:26:39 am

09.10.2023, 10:06

KPIs and clustering

09.10.2023, 09:13

IPESE course - October 9th 2023, 8:21:13 am

09.10.2023, 09:13

Introduction to course and project MOES

06.10.2023, 14:44

Introduction and course concept

Modeling and optimisation of energy systems introduction

06.10.2023, 14:44

Introduction and course concept

Solving non linear equations

06.10.2023, 14:08

buildings and solving non linear equations

06.10.2023, 14:08

building demands

06.10.2023, 12:13

buildings and solving non linear equations

06.10.2023, 12:13

Modeling and optimisation of energy systems introduction

02.10.2023, 09:52

Introduction and course concept

Modeling and optimisation of energy systems introduction

02.10.2023, 09:52

Introduction and course concept

Miro 3 - Flipped class

13.12.2021, 13:03

Flipped class about T9-T12

MOES Project 2021

29.11.2021, 08:31

MOES Lecture 2021

29.11.2021, 08:28

MOES Miro 2021

29.11.2021, 08:29

Miro Session 1

23.11.2021, 11:17

Miro 2 - Flipped class

23.11.2021, 11:15

Lecture 2021 week 2

04.10.2021, 11:35

2021_Week14: Semester and Master projects @ IPESE

26.05.2021, 14:32

Short explanation of the projects available for next semester @IPESE.

2021_Week13: Oral exam procedure and Theory discussion

19.05.2021, 16:16

|1.I can explain what a state variable is and derive the degrees of freedom of a flow in a process | Jacopo Saracco, Justine Brun | https://miro.com/app/board/o9J_lGZDmw8=/

|2.I can explain what a constitutive equation is and how a thermodynamic model works | Marc Tognola de Quintana, Claire Marie Isabelle Bernier | https://miro.com/app/board/o9J_lFK97xs=/

|3.I can explain what the equations of a process unit are and I can formulate the equations for units like a compressor, a heat exchanger or a cogeneration unit and explain what the definition of the parameters in the model is. | Nicolas Jean Rospars, Olivier Jean Mathias Laferrère | https://miro.com/app/board/o9J_lDi44fs=/

|4.I can explain the flowsheet of a heat recovery system | Paul Arthur Guy de Durand,Raphaël Briguet | https://miro.com/app/board/o9J_lEMNI6E=/

|5.I can realize a degree of freedom analysis, define the specifications and explain what dependent and independent variables of a model are. | Samuel Martin Peter Meyer | https://miro.com/app/board/o9J_lDvaL1I=/

|6.I can explain how to solve a unit model using a sequentialapproach and I can explain the pro and cons of a sequentialapproach. | Sven Luca Menge, Vincent Paul Python | https://miro.com/app/board/o9J_lEZwrl8=/

|7.I can explain the solving methods that can be used in a sequential solving approach. | Wei-Sheng Hung, Xinghai Wang | https://miro.com/app/board/o9J_lECYIOU=/

|8.I can explain how to solve a unit model using a simultaneous approach and I can explain the pros and cons of this approach. I can give an example from my project. | Yexinlei Yang, Yuanjun Feng | https://miro.com/app/board/o9J_lEUhjBM=/

|9.I can explain what the relevant conditions for using a simultaneous approach are and how this approach compares with the sequential one. | Romain Lilian Douat, Timothée Benjamin Antoine Jaubert | https://miro.com/app/board/o9J_lDxHqeE=/

|10.I can explain how to analyze the degrees of freedom of a flowsheet and what is needed to reach zero degrees of freedom.I would be ready to apply it on a given energy conversion flowsheet. | Louis-Nicolas Paul Raymond Durand | https://miro.com/app/board/o9J_lDjmj_0=/

|11.I can apply the Motard method to define a sequence to solve a sequential modular simulation problem. I can explain what the difficulties of the sequential approach are. | Marguerite Lou Lavarini, Anaël Perruchoud | https://miro.com/app/board/o9J_lDu-5-Q=/

2021_Week_10: Theory discussion

28.04.2021, 19:34

|1.I can explain the possible type of usage of optimisation in energy system modeling | Dominik Blaser,Mouhannad Abou Daher | https://miro.com/app/board/o9J_lHHhFnY=/

|2.I can explain the problem of parameter estimation and explain how the problem is stated and solved. I can give an example on how it has been applied in my project. | Guillaume Pierre Nicolas Senentz,Pierre Thomas Robin Marie Bouquet | https://miro.com/app/board/o9J_lHglht8=/

|3.I can explain different strategies to state and solve an optimization problem. I can explain differences between black box, simultaneous, hybrid methods and explain pros and cons. | Antoine Ravetta,Olivia Marie Lucie Julia | https://miro.com/app/board/o9J_lIdJDBQ=/

|4.I can explain the different methods to solve optimization problems and explain what are pros and cons of each of them. | Charles Marc Célin Vuichard,Pål Forr Austnes | https://miro.com/app/board/o9J_lILgnNQ=/

|5.I can explain how to solve an unconstrained optimization problem. | Camila José Morales Undurraga, Matthieu Benoit C. Jacobs | https://miro.com/app/board/o9J_lIbDXTA=/

|6.I can explain how to solve a multi-variable unconstrained optimization problem. | Chiara Ongaro, Clara Emmanuelle Gualtieri Huguenin | https://miro.com/app/board/o9J_lHmWvV4=/

|7.I can explain what a Mixed Integer Linear Programming optimization problem is and how it has been used in the energy system optimisation project. | Daniel Gutierrez Navarro, Edouard Cattin | https://miro.com/app/board/o9J_lHl4Bh0=/

|8.I can explain what are the principles of a heuristic method for solving an optimisation problem and I can explain for which strategy it is used for and I can comment onthe associated pros and cons. | Gabriel Bessette, Hugo Pierre André Casagrande | https://miro.com/app/board/o9J_lIcYf-Y=/ 

2021_Week_9: part 4 updates (FM, JS)

21.04.2021, 12:32

2021_Week_8: part 3 and part 4 (FM, JG, JS)

14.04.2021, 10:55

Part 4 Project description - Project tasks

12.04.2021, 11:50

Part 4 tasks

  • Simulation / Flow sheeting
  • Measurements
  • Reconciliation
  • Performance analysis
  • Fluid selection

Part 4 Project description - Case study

12.04.2021, 11:49

Case study of P2G plant Solothurn

  • Simulation
  • Measurements
  • Reconciliation
  • Validation

Part 4 Project description

12.04.2021, 11:48

  • Project overview
  • Flowsheeting

2021_Week_6: Theory discussion

02.04.2021, 10:16

1.I can explain how to state an energy system model using 

mixed integer linear programming : what are the constraints, 

what is the objective function, what are the inequality 

constraints https://miro.com/app/board/o9J_lNcqQl0=/

2.I can explain the simplifying assumptions made to model the 

system with a linear programming problem. https://miro.com/app/board/o9J_lMgMz7c=/

3.I can explain how to model a heat pump with a simplified 

model based on temperatures https://miro.com/app/board/o9J_lNJAahw=/

4.I can explain how to calculate the operating cost of an 

energy system and explain how it has been done in the project https://miro.com/app/board/o9J_lNUFd-M=/

5.I can explain how to estimate the investment of an energy

conversion system. https://miro.com/welcomeonboard/TS4BQF5czyruVB8N4u920lPaMhgrIzMNVkL9MaxICyaMInYoRbuJAQSOXbWokhqc

6.I can explain how to calculate the key performance indicators of

an energy system. I can explain how to calculate the 

thermo-economic performance, and how to consider

the environmental and sustainability aspects. https://miro.com/app/board/o9J_lN5i340=/

VALI tutorial HP

30.03.2021, 10:22

  • Defining streams 
    • Mechanical 
    • Material 
  • Defining units 
    • Tags 
    • Compressor 
  • Heat pump first stage: compression

VALI tutorial

30.03.2021, 10:19

  • Opening VALI
  • Creating a first PFD
  • Defining thermods

2021_Week4_VM_AMPL by XL

18.03.2021, 18:01

2021_week3: Theory question by FM

10.03.2021, 13:38

2021_Week2 - Presentation of project part 1 (FM, DL)

03.03.2021, 10:25

2021_week1: course introduction by prof

24.02.2021, 16:36

Introduction of course by Prof

2021_week1: Presentation of tools and projects (FM, JG, XL, JS)

24.02.2021, 16:28

Francois, Julia, Xiang, Jonas

Examination procedure, MOO Introduction and Case Study Part 5 by JH & FM

13.05.2020, 17:00

MILP model complete by FM

01.05.2020, 16:47

Energy technologies - part 1 by FM

01.05.2020, 16:44

Introduction by FM

01.05.2020, 05:47

Thermo- economic analysis by FM

01.05.2020, 05:43

Degrees of freedom and process unit models by FM

30.04.2020, 15:50

Key performance indicators and multi objective optimisation by FM

30.04.2020, 13:49

Optimisation - heuristic methods by FM

30.04.2020, 13:48

Data reconciliation and parameter identification by FM

30.04.2020, 13:46

Defining a sequence application to the two stage heat pump by FM

30.04.2020, 13:44

Defining a resolution sequence by FM

30.04.2020, 13:43

Constitutive equations by FM

30.04.2020, 13:34

Solving an optimisation problem by FM

30.04.2020, 13:25

Solving strategies for optimisation problems by FM

30.04.2020, 13:16

Energy technologies - part 2 by FM

30.04.2020, 13:11

MILP model and typical days by FM

30.04.2020, 12:43

Solving equations by FM

30.04.2020, 12:20

Building model by FM

30.04.2020, 12:17

Presentation of the EPFL project by FM

30.04.2020, 12:15

"Where are we and what is next?" by FM

30.04.2020, 11:44

Data reconciliation Case Study by JG & FM

30.04.2020, 11:43

NLP Case Study by RA

30.04.2020, 11:41

MILP Case Study by XL

30.04.2020, 11:40

NLP example by FM

30.04.2020, 11:38

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

building demands

06.10.2023, 12:13

Introduction to course and project MOES

06.10.2023, 14:44

Introduction and course concept

Solving non linear equations

06.10.2023, 14:08

Investment estimation

20.10.2023, 16:16

KPIs

20.10.2023, 16:20

DOF process units and flowsheets

23.11.2023, 15:40

Solving strategies for an optimization problem

27.10.2023, 17:38

Solving linear optimization problem

27.10.2023, 17:45

Solving non-linear optimization problems

27.10.2023, 17:49

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33

MOES-2023

23.11.2023, 15:33


This file is part of the content downloaded from Modelling and optimization of energy systems.

GENERAL

MODELLING AND OPTIMIZATION OF ENERGY SYSTEMS
Session (Mon 08:15-12:00)
Instructor: Prof. François Maréchal

Assistants: Eduardo Pina, Cédric Terrier, Sai Sudharshan Ravi, Lorenzo Aimone, Giulia Giacomini, Pedro Marques, Maxime Blanchouin



Overview:

The objective of this course is to teach the basics of computer aided process system engineering for modelling and optimization of energy conversion systems. The students will learn how to build energy systems models and how to carry out thermo-economic optimization for optimal system's design. Both linear and non-linear problems will be modelled and solved using proper tools. Multi objective optimizations techniques will be used to consider both economic and environmental targets. The main concepts are applied in a group project.


Class planning:

Each Monday, there is a course meeting at EPFL. The class meeting consists of different elements: 

  • Lectures T1-12: Lectures on course theory held by Professor Maréchal/Dr. E. Pina.
  • Introduction project part 1-4: Introduction into the different aspects of the project, by Professor Maréchal and the assistants. 
  • Discussion T 1-12: Flip class on course theory, where students present key concepts of the course to the class. (Miro link here, zoom link).
  • Each course session consists of 2-4 elements, depending on their length. The following table summarises the semester outline, including the theory and project topics covered each week.


Recorded classes and presentations can be found here.


Semester and master projects here.


Material:

  • Lecture slides as well as relevant videos are uploaded on moodle.
  • For questions regarding the theory, please use the forum "theory questions"
  • For project-related questions that are relevant for the whole group please use the Mattermost townsquare.
  • if you need refreshing your knowledge in Thermodynamics and engineering, please use this free course.
  • The VMs are accessible using VMware Horizon in the server https://vdi.epfl.ch under the name STI-FM-cours-2024


Problems in accessing the materials ? 

1. If you cannot access the virtual machine (VM) (VPN needed outside EPFL campus), please contact M.Sai Ravi;
2. if you have problems on VM, e.g. blackscreen, frozen screen etc, please contact 1234@epfl.ch ;



Schedule

The lectures and project work take place in classroom AAC 2 31.

WeekDateAgenda classTheory coveredProject workVideo lecture
Submissions
109.09.2024Course introduction Introduction to Part 1Project overview + Task 11. Introduction to course and project MOES
2. Building demands
216.09.2024Holiday
Task 1
323.09.2024Lectures T1, T2
Introduction to Part 1 NR
T 1: Energy demand analysis: building modeling
T 2: Equations and solving methods
Task 13. Solving non linear equations
430.09.2024Lectures T3, T4
Work on Part 1 Introduction to Part2
Lecture by Dr. Pina
T 3: Key Performance Indicators
T 4: Estimating the investment
Task 1+24. KPIs
5. Investment estimation
507.10.2024Lecture T5T 5.1: Flowsheet simulation and DOF
T 5.2: Stating optimisation problem and solving strategies
Task 26. DOF process units and flowsheets               
7. Solving strategies for an optimization problem
614.10.2024Lecture T6
Work on Parts 2
T 6: Solving optimization problemTask 28. Solving linear optimization problem
9. Solving non-linear optimization problems
721.10.2024Holiday
828.10.2024Lectures T10, T11 Introduction to Part3
Lecture by Dr. Pina
T 10: MILP optimization methodology
T 11: Techno-economic analysis by MILP optimization
Task 3
904.11.2024Task 3
1011.11.2024Lecture T7, T8
Work on Part 3
T 7: Constitutive equations
T 8: Resolution sequence definition
Task 3
1118.11.2024Lecture T9
Work on Part 3 Introduction to Part4
T 9: Data reconciliation and parameter identificationTask 4
Submit Preliminary Report
1225.11.2024Flip classTask 4
1302.12.2024Work on Part 4Task 4
Submit Review
1409.12.2024Lecture T12
Presentation of semester/master projects in IPESE (10am)
T 12: Multi-objective optimizationwrap up
1516.12.2024Project presentation (in groups and not graded) and feedbackPresent for 3 minutes the methods and results of your project on Miro. The rest of the class works on their project
wrap up

The schedule for the project presentation on Monday 16.12.2024 is given below and will take place in in ME A2 465. Similar to the exam, prepare a maximum 3-min presentation and a poster showing your main steps, methods and results. We will then give you a feed-back.


Project material

During the semester, we will be using Quarto (qmd) to perform calculation and reporting of the results. Once your group is formed, you will get access to a gitlab repository containing a qmd template for your project. Any data required for the project is available in this repo.  In addition, a quarto Tutorial is given. Download the .zip file, open the _book folder and double click on any of the html file to open the document.



Forums

During this course, we will be using mattermost for most of the communications. To create an account click here. Mattermost is a communication tool similar to Slack (and eventually Whatsapp). All the groups will have a dedicated channel with TA's assigned that answer questions specific to the project; furthermore, it is also the place to share tasks, ask questions and book time slots with the TAs


Flip Class

The Miro plateform is used to present your answer to the theory discussions. You can insert any figure or explanation in the space dedicated to your question and you will present the answer during the flip classes. You can join the zoom class here.

Lectures

The lecture notes and FAQ website is available in the "Lecture_notes" link below.


Report & Review submission

Submission Section


Intermediate report submission: Due Date 24. November 2024. You only need 1 submission per group.To submit your report, wrap all your html files from the _book folder into a zip file.

Review submission: Due Date 8. December Only put your name and sciper on an extra (first) page. Do not put your name/sciper anywhere else in the document. Write a 2-4 pages review. Start with an introductive overview on the project and general recommendations on the report. Then, continue with more specific comments (try to group them by categories). Justify your comments and discuss the outcomes of the report with a critical thinking. Most important, be respectful and raise relevant feed-backs. Finally, pay attention to the following points:
  •  Context / introduction / conclusion: is the goal clearly stated, do we understand what we are about to read? Is there an introduction and conclusion to each section?
  •  Story telling: Does the report make sense? Does the information come in the right order? Are the sections well connected each other? Is there a red line across the text?
  •  Structure of the text: Do they keep the rule one information per sentence, one aspect per paragraph and on topic per section. If a sentence is more than two lines long, it might be to many information for the reader.
  •  Figures: Are the figures properly introduced? Are they used as a visual support in harmony with the text or are they simply mentioned at the end of the paragraph like a supplementary material optional to read? Figures should be used as a visual support to better understand the text and not as a reference proving your statements.
  •  Try to avoid simply listing all the aspects of your reviews. It is much better to first introduce with a paragraph the general comments you have for a section, and then get into details with a bullet list to highlight your general comments.
  •  Finally, you can as well emphasise the aspects you liked in the report, but pay attention here to give an analysis and depth in your comments. Don't simply mention that everything is good but say as well why.



Final report submission: Due Date 17. January. You only need 1 submission per group. To submit your report, warp all your html files from the _book folder into a zip file. Please fill in the declaration of authorship with the contributions of each group member and insert it in your zip file upon submission.

Even though the courses are over, the TAs remain available to answer some questions until your final submission. Please be aware of the holidays! Plan well in advance your meeting with the TAs since our availability is reduced.

Good luck!!



Oral Exam

You will find below the link to select your time slot for the exam.
Please avoid changing your time slot once you have selected one.

https://doodle.com/meeting/participate/id/bDPB9N6b

- The exam will take place from January 27 to 31, 2025 in the room ME A2 465 (the one of your presentation with pr. Maréchal in December).
- The exam will start with your short 3 minutes speech about your project. Avoid getting over 3 minutes! Then prof. Maréchal will ask you questions on the theory of the course. Only prof. Maréchal will ask questions. The 2-3 other TAs and experts will only grade your answers.

- During the exam, you will have at your disposal a screen with your own summary of your project (on Miro). You can also put some theory notes and equations on it to support your answers to the theory questions. A good advice is to avoid covering your summary with the whole course, since it usually disturb the explanation, make it unclear and make the student lost in the summary. You have to submit the link to your miro board > 24 hours before your exam.