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System analysis for planning renewable energy systems; advanced energy system modelling; application of selected software.
This course will deliver the fundamentals to plan (model/design) the energy transition of the power, heat, and transportation sectors. In other words, you will develop skills in modelling and analysing energy systems. This includes understanding concepts from optimisation, economics, and decision-making theory and applying them to energy systems. This is a class with many hands-on experiences, including the application and development of modelling tools.This is a core course in the Masters in Renewable Energy. Students from a range of engineering, science, economics, social science, and other backgrounds with an understanding of quantitative methods are also welcome.
Understand how to model the energy transition Create an advanced model of an energy system in which combinations of generation, conversion, and energy storage technologies are optimised based on energetic and financial criteria Critically evaluate energy transition plans and scenarios Understand the concepts of optimisation, multi-objective decision-making, making decisions under uncertainty, energy management systems, and more, applied to energy systems
ENCN423 or ENCN627 or ENME405 or ENME605 or ENGR404 or subject to approval of the Head of Department.
Students must attend one activity from each section.
This course includes a combination of lectures and interactive applications. Each weekly session meets for 2 hours. Below is the proposed course timetable.1 What is energy systems analysis – overview and introduction into optimisation2 Energy transitions planning – our first linear optimization toy model3 Energy transitions planning – optimization for large systems4 Energy transitions planning – modelling Power-to-X (power, heat and transport sectors)5 Energy transitions planning – calculating a microgrid6 From nature to electricity - modeling a renewable power plant7 Energy markets – calculating marginal prices and carbon taxes8 Smart transportation – modeling future energy demands of transportation (online)9 Smart heating – modeling a building energy management system10 Deciding beyond costs – multi-objective optimization11 Planning for an uncertain future – robust and adaptive decisions12 Project presentationsNote: This is a general guide for the course and is subject to change. Up-to date information will be available on Learn.This course will use flipped/interactive classrooms as much as possible. This requires preparing each class by reading the corresponding material at home. Each class usually starts with a summary given by the lecturer, followed by an application of the content to a concrete example. The course material will be presented using slides, written notes, videos, and assigned readings. At the postgraduate level you are expected to put in considerable time outside lectures to refine your understanding through material revision, reading recommended papers, seeking additional material in the literature, and preparing your own models. Below is a rough guide for the time you are expected to spend on the various aspects of the course.Contact HoursLectures - 24 HoursIndependent studyLiterature review - 24 HoursAssignments - 24 HoursProject - 54 HoursIndividual learning - 24 HoursTotal 150
Jannik Haas
The assessment for this course has three major components: reading before class, calculation (sizing or applications) assignments, and a project and its corresponding presentation.Assessment: Readings quizzesPercentage: 10%Date: Throughout the semesterAssessment: Calculation assignmentsPercentage: 40%Date: Throughout the semesterAssessment: Project and presentationPercentage: 50% Date: Last classThe readings, often journal publications or book chapters, will be available on Learn and quizzed (open book, no time limit) before class to enable flipped/interactive classrooms as much as possible. The assignments are quantitative applications of the material seen in class. A major assessment for this course is a research project and its associated presentation on modelling an energy system. You will receive the details of the research project during the first term of the course, and you are expected to integrate your learnings from the entire semester in your final report. In the final week, you will present your research to the class.
Electronic copies of required readings, video recordings, and course resources will beprovided through the course Learn page.
Entry to this course is subject to completing ENCN423 or via approval from the Director of Studies of the Renewable Energy Programme.
Domestic fee $1,268.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
This course will not be offered if fewer than 8 people apply to enrol.
For further information see Civil and Natural Resources Engineering .