WIND ENERGY TECHNOLOGY - 2020/1

Module code: ENGM246

Module Overview

Wind energy is an emerging renewable technology that has received wide attention in the context of dealing with global energy demand and sustainable development. It is a broad subject encompassing several branches of science and engineering. This module is to introduce the concept, technical approaches, and the practical aspects in applications. 

Module provider

Chemical and Process Engineering

Module Leader

CHEN Tao (Chm Proc Eng)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 117

Lecture Hours: 33

Module Availability

Semester 2

Prerequisites / Co-requisites

None.

Module content

Indicative content includes:


  • Introduction to wind energy

  • Wind engineering.

  • Wind data and statistics.

  • Aerodynamics of wind turbine.

  • Airfoils

  • Blade design

  • Electrical aspect of wind turbines.

  • Offshore wind turbine.


Assessment pattern

Assessment type Unit of assessment Weighting
Coursework COURSEWORK 1 30
Coursework COURSEWORK 2 10
Examination EXAMINATION 2 HOURS 60

Alternative Assessment

None

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate his/ her gained knowledge and skills in the module. 

Thus, the summative assessment for this module consists of:


  • There are two course works of 10% and 30% respectively.

  • 2 hours unseen examination of 60%. 



Formative assessment

N/A

Feedback

Module aims

  • To provide students with a systematic understanding of current knowledge, problems
  • Insights in the field of wind energy.
  • Train students to evaluate current research and advanced scholarship in this field.
  • Enable students to evaluate wind energy technologies, develop critiques and propose solutions.

Learning outcomes

Attributes Developed
1 Obtain knowledge and understanding of the established techniques of research and enquiry; assess the available wind energy technology; design and select appropriate collection and storage and optimise.
2 Acquire and develop the thinking skills to demonstrate self-direction and originality in problem solving; to gather design data; to synthesise and evaluate data; to analyse published works and to plan, conduct and report.
3 Acquire and develop practical skills to design different systems; to analyse a design and predict its performance; to evaluate the overall performance of systems and to demonstrate the benefits of these technologies.
4 Acquire and develop transferable skills to structure and communicate ideas; to act autonomously in planning and implementing; to participate in groups and to work independently and with initiative; to find, assess and use information and to manage time and work to deadlines.

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

33 hrs of combined lectures/problem-solving classes, 2 hrs unseen examination, and 115 hrs independent learning.

Total student learning time 150 hours.

The learning and teaching methods include:


  • lectures, tutorials 21 hrs,

  • class discussion and example solving 9 hrs

  • revision 3 hrs


Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENGM246

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Electronic Engineering with Nanotechnology MEng 2 Optional A weighted aggregate mark of 50% is required to pass the module
Mechanical Engineering MEng 2 Optional A weighted aggregate mark of 40% is required to pass the module
Electrical and Electronic Engineering MEng 2 Compulsory A weighted aggregate mark of 50% is required to pass the module
Petroleum Refining Systems Engineering MSc 2 Optional A weighted aggregate mark of 50% is required to pass the module
Infrastructure Engineering and Management MSc 2 Optional A weighted aggregate mark of 50% is required to pass the module
Renewable Energy Systems Engineering MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2020/1 academic year.