Lecture

Energy Systems Optimization

Related lectures (29)

Introduces a course on optimizing energy systems using computer-aided decision-making for efficient design and operation.

Energy optimization strategies

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

Closing the Energy Balance: Process Integration Techniques

Covers methods for closing the energy balance in industrial processes through utility integration and optimization techniques.

Energy Systems Optimization

Introduces a course on modeling and optimizing energy systems, emphasizing the importance of informed decision-making and teamwork in addressing energy challenges.

MILP Model and Typical Days by FM

Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.

Heat Transfer Analysis in Process Units

Explores heat transfer analysis in process units, emphasizing the importance of balancing mass and energy for optimizing energy efficiency.

Optimization with Constraints: Theory and Applications

Covers the theory and applications of optimization with constraints, including key concepts and numerical methods.

Energy Systems Engineering: Introduction and Optimization

Covers the introduction to energy systems engineering, focusing on modeling, optimization, and project-based learning.

Energy System Modeling: Optimization and Performance Indicators

Explores energy system modeling using optimization techniques and performance indicators.

Optimization in Engineering

Explores optimization techniques in engineering for solving complex problems efficiently.

Data Reconciliation: Case Study

Discusses correcting errors in measurements through mathematical expressions and optimization techniques.

Energy Systems Simulation and Optimization

By Prof. François Marechal covers the simulation and optimization of energy systems in industrial processes, waste, resources, and energy conversion.

Energy System Optimization

Covers the optimization of energy systems, focusing on solving equations and numerical methods.

Linear Optimization Techniques: Problem Solving Approaches

Provides an overview of linear optimization techniques, focusing on problem-solving methods and the importance of constraints and objective functions.

Energy Integration Optimization

Explores tools for optimizing energy integration and minimizing exergy losses in systems, aiding in reducing energy costs and enhancing efficiency.

Data reconciliation and parameter identification by FM

Explores measurement analysis, data reconciliation, and parameter identification in energy systems, emphasizing the importance of correct measurements and optimization.

Optimization in Engineering

Explores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.

Environmental Policy Instruments: A Comparative Analysis

Provides a comprehensive overview of various environmental policy instruments and their effectiveness in reducing harmful emissions.

Computational Science and Engineering: Master Program Overview

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

Introduction to Numerical Analysis

Introduces a course on numerical analysis, covering its importance, the MOOC, MATLAB, and Jupyter notebooks.