Optimisation of energy and environmental systems with MATLAB
10.0 ECTS creditsThe course deals with theory and applications of the computational tool MATLAB, including how to handle and analyse physical input data, analyse dynamic energy and environment systems, write scripts that automatise drives, process output data, and present data effectively in graphic form.
The course includes basic theory about linear optimisation and applications of relevant methods using MATLAB for the optimisation of energy- and environment-related technological systems. Examples of systems to which the methods can be applied are municipal heating networks, refuse and recycling systems, the process industry, power heating plants, purification plants and national and international energy distribution systems.
The course comprises two modules.
Module 1: In-depth review of the computational tool MATLAB, including how to handle vectors/matrices, import and process large data sets, handle graphic visualisation of data and results, develop algorithms based on different principles, create new functions and handle the integrated functions in MATLAB, and formulate and apply ordinary differential equations in MATLAB. Assessment is based on portfolio assignments for which students use MATLAB to analyse and calculate different energy and environmental systems, and present their work in a technical report.
Module 2: Basic instruction of the simplex method, constraints, objective function, state variable and state space. Linear programming of combined energy and environmental optimisation of existing systems. Lectures, laboratory sessions and supervision of project assignment in energy and environment system optimisation with the computational tool MATLAB.
The course includes basic theory about linear optimisation and applications of relevant methods using MATLAB for the optimisation of energy- and environment-related technological systems. Examples of systems to which the methods can be applied are municipal heating networks, refuse and recycling systems, the process industry, power heating plants, purification plants and national and international energy distribution systems.
The course comprises two modules.
Module 1: In-depth review of the computational tool MATLAB, including how to handle vectors/matrices, import and process large data sets, handle graphic visualisation of data and results, develop algorithms based on different principles, create new functions and handle the integrated functions in MATLAB, and formulate and apply ordinary differential equations in MATLAB. Assessment is based on portfolio assignments for which students use MATLAB to analyse and calculate different energy and environmental systems, and present their work in a technical report.
Module 2: Basic instruction of the simplex method, constraints, objective function, state variable and state space. Linear programming of combined energy and environmental optimisation of existing systems. Lectures, laboratory sessions and supervision of project assignment in energy and environment system optimisation with the computational tool MATLAB.
Progressive specialisation:
A1N (has only first‐cycle course/s as entry requirements)
Education level:
Master's level
Admission requirements:
Programme students: 120 ECTS credits completed in the Energy and environmental engineering programme (Bachelor) or 150 ECTS credits completed in the Energy and environmental engineering programme (Master) or admission to the Master programme in Energy and environmental engineering towards a Master degree
Non-programme students: 60 ECTS credits of completed courses, including 7.5 ECTS credits in classical thermodynamics, 15 ECTS credits in energy engineering and 15 ECTS credits in mathematics, or equivalent
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Master of Science in Energy and Environmental Engineering (studied during year 4)
- Master of Science in Engineering, Degree Programme in Environmental and Energy Engineering (studied during year 1)