LEARNING OUTCOMES
Students understand how to apply process integration (especially pinch analysis) methods to improve the energy efficiency of industrial and municipal energy systems. Students identify problems in the energy technology which can be solved using optimization. Students understand the most important optimization methods (e.g. linear programming or dynamic optimization) and are able to apply these methods to optimization of energy systems.
Credits: 5
Schedule: 25.10.2022 - 07.12.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Risto Lahdelma
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Pinch analysis of energy systems
Integration of energy system components
Linear and mixed integer linear programming energy models
Dynamic modelling
Optimal configuration of energy processes
Assessment Methods and Criteria
valid for whole curriculum period:
Execution: Lectures + exercises + compulsory individual exercises
Assessment methods and criteria: Exam and compulsory individual exercises
Workload
valid for whole curriculum period:
Lectures 18h
Excercises 12h
Individual studying 103h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
7 Affordable and Clean Energy
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn II
2023-2024 Autumn IIEnrollment :
Registration for the course via Sisu (sisu.aalto.fi).