Lectures related to Energy System Optimization: EPFL Project Overview

Theory Discussion: Degrees of Freedom Analysis and Solving Methods

Discusses degrees of freedom analysis and solving methods in energy conversion flowsheets.

Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.

Energy Conversion Methods

Covers energy system, numerical methods, Newton-Raphson, convergence, and efficient equation solving.

Material and Energy Balances

Explores material and energy balances in chemical engineering for process optimization and design.

Vectorworks Educational Version

Introduces Vectorworks Educational Version for architectural drawings, covering tools, layers, and annotations.

Master in Computational Science and Engineering Overview

Outlines the Master in Computational Science and Engineering at EPFL, detailing its structure, admission criteria, and career opportunities for graduates.

Degree of Freedom Analysis

Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Energy System Optimization

Explores energy system optimization, including heat, cost, and CO2 emissions.

Project-Based Learning in Communications and Robotics

Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.

Numerical Analysis: Stability in ODEs

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Energy optimization strategies

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Linear Equations: Introduction and Solutions

Covers the introduction and solutions of linear equations, including methods for solving systems and determining the number of solutions.

Project Management: Portfolio Management

Focuses on project planning, execution, and key user involvement for effective project management.

Newton-Krylov-hookstep Methods

Covers Newton-Krylov-hookstep methods for finding roots of high-dimensional systems.

Power Systems Dynamics: Transient Stability

Explores transient stability in power systems dynamics, covering algebraic equations, generator models, and numerical integration techniques.

Architectural Technology: Project Phases and Architect Responsibilities

Discusses the phases of architectural projects and the responsibilities of architects throughout the process.

Explicit Stabilised Methods: Applications to Bayesian Inverse Problems

Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.

Absolute Values: Equations and Inequalities

Explores absolute values in equations and inequalities, focusing on solving |f(x)| = g(x).

Master's Program in Computational Science and Engineering

Outlines the Master's program in Computational Science and Engineering at EPFL, detailing its structure, curriculum, and career opportunities for graduates.