Learning outcome - Natural Gas Technology - Master's Degree Programme - 2 years - Trondheim
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Natural Gas Technology
Master's Degree Programme, 2 years, Trondheim
Natural Gas Technology
– Learning outcome
No admission
We will not accept any new applicants for this study programme. From 2022 the Natural Gas Technology programme will be merged with Master in Sustainable Energy.
studyprogramme-info-portlet
Learning outcome
A candidate who has completed his or her qualification should have the following learning outcomes defined in terms of knowledge, skills and general competence:
General competencies
Knowledge
The MSc candidate:
- Has advanced theoretical knowledge on thermodynamics, fluid flow, heat transfer and energy conversion in relation to Natural Gas systems and processing.
- Has detailed knowledge of simulation methods applied in the Natural Gas value chain, numerical methods and solvers.
- Has first principle understanding of components, mechanical machinery and instrumentation in the Natural Gas value chain from well to product.
- Has detailed knowledge of power and process systems for Natural Gas.
- Has understanding of safety, environmental and economic aspects of the Natural Gas chain
Skills
The MSc candidate:
- Can, based on first principles conservation laws, formulate and use applied models for Natural Gas components and processes.
- Can use numerical simulators for Natural Gas components and systems and evaluate the results with a critical view of uncertainties and reliabilities.
- Has programming skills to solve limited problems and to analyze and present data.
- Can evaluate components and instrumentation used in Natural Gas chain regarding design and operation of systems.
- Can design or evaluate Natural Gas power and processing systems: flow sheets, process optimization and integration, CO2 capture
General expertise
The MSc candidate:
- Can understand and take part in evaluation of the full Natural Gas value chain: technological, environmental, economical and ethical issues.
- Can understand and take part in dimensioning of transport and process options on conceptual levels.
- Has a good general understanding of limitations and uncertainties using simulators and models: theory vs. reality
- Has respect and understanding for collaborative work in groups.
- Has a general understanding of the interaction between control/monitoring and risk/uncertainty analysis of complex systems