BSEN40350 Renewable Energy Systems Analysis

Academic Year 2022/2023

Choice awareness of energy resources. Methods for energy demand and supply characterisation (including forecasting). Micro-generation, cogeneration, tri-generation, and poly-generation systems; energy flows, low-carbon/renewable energy systems, energy systems integration, and bases for sustainable energy systems. Methods and tools for hybrid energy systems integration to provide specified service loads (viz., electricity, heating, and cooling). Energy infrastructure; centralized vs. decentralized systems; on-shore and off-shore systems. Energy demand and supply modelling: simulation, econometric and other forms of parameter estimation, and integrated systems modelling and optimization. Design and analyses based on special purpose computer tools with capability for integration of renewable energy resources and/or conversion technologies for multiple energy systems/sectors (viz. electricity, heat, transport etc.).

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Curricular information is subject to change

Learning Outcomes:

Upon successful completion of this module, students will be able to: (1) Describe and characterise energy supply and demand, and the main energy technologies for electricity, heating and cooling; (2) Describe technology solutions for integration (energy systems design) with specific focus on renewable and sustainable energy systems (including micro-generation, cogeneration and tri-generation); (3) Analyse and optimize integrated energy systems as basis for creation of 100% renewable energy systems.

Student Effort Hours: 
Student Effort Type Hours




Specified Learning Activities


Autonomous Student Learning




Approaches to Teaching and Learning:
The majority of teaching on this module be delivered through lectures.
There will be 4 lab sessions base don active-learning approaches. 
Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles
EEEN40110 - Renewable Energy Systems

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Assignment 2: System Integration Modelling - Fundamentals Week 6 n/a Graded No


Assignment: Assignment 4: System Integration Modelling - optimization Week 12 n/a Graded No


Assignment: Assignment 1: Choice Awareness Week 3 n/a Graded No


Examination: 4 Hr Exam (4 Questions) 2 hour End of Trimester Exam Yes Graded No


Continuous Assessment: Assignment 3: Energy Systems Analysis Week 9 n/a Graded No


Carry forward of passed components
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Students are required to complete a number of assignments over the course of the module. Feedback will be provided to each student after each assignment is completed.

Name Role
Dr Fionnuala Murphy Lecturer / Co-Lecturer
Maneesh Kumar Mediboyina Tutor
Charlene Vance Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Computer Aided Lab Offering 1 Week(s) - 21, 23, 25, 29, 31, 33 Wed 09:00 - 10:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 14:00 - 14:50