| Title: | Degree Day Analysis |
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| Long Title: | Degree Day Analysis |
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| Field of Study: |
Mechanical Engineering
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| Valid From: |
Semester 1 - 2016/17 ( September 2016 ) |
| Module Coordinator: |
MICHAEL J O MAHONY |
| Module Author: |
FERGUS DELANEY |
| Module Description: |
This module uses the concept of Degree Days to estimate energy consumption and CO2 emissions for heating, cooling and energy recovery systems both for new build and for major refurbishments. Techniques for energy monitoring and forecasting are investigated. |
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| LO1 |
Discuss the concept of degree days and its application in energy calculations. |
| LO2 |
Explain the underlying principles and theory of energy use calculations using Degree-days. |
| LO3 |
Apply Degree-day analysis to calculate the fuel consumption, CO2 emissions for a range of heating, cooling and energy recovery systems. |
| LO4 |
Develop models of engineering systems using industry-standard software tools |
| LO5 |
Model complex engineering problems having regard for the limitations, inherent assumptions and applicability of the model |
| Pre-requisite learning |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s). |
| No recommendations listed |
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list. |
| No incompatible modules listed |
Co-requisite Modules
|
| No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section. |
| No requirements listed |
Co-requisites
|
| No Co Requisites listed |
Module Content & Assessment
| Indicative Content |
|
Degree day calculation
Introduction, calculating degree days, errors,base temperature corrections.
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Energy estimation techniques
Heating applications, intermittent heating, accuracy, CO2 emissions, heat gains, cooling applications.
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Energy management
Normalisation of energy performance, energy signatures, performance lines and degree days, diagnostics using performance lines, regression analysis.
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Excel Models
Use of offset functions and defined names in excel, modelling within Excel
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| Assessment Breakdown | % |
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| Course Work | 100.00% |
| Course Work |
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| Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
| Written Report |
Generation of degree day data by a number of methods and an assessment of error and confidence level associated with each method |
1,2,3,4 |
25.0 |
Week 4 |
| Project |
Generation and analysis of performance lines, control charts and CUSUM plots. Data fitting by linear regression and determination of r2 |
2,4 |
25.0 |
Week 7 |
| Project |
Application of degree days to energy consumption in heating/cooling/ventilation applications. |
2,3,4,5 |
25.0 |
Week 11 |
| Essay |
Essay on the limitations and error analysis for degree day theory applications. |
1,2,5 |
25.0 |
Sem End |
| No End of Module Formal Examination |
| Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
|
The institute reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecture |
Course content |
2.0 |
Every Week |
2.00 |
| Independent & Directed Learning (Non-contact) |
Study and assessmnet |
4.0 |
Every Week |
4.00 |
| Lab |
IT lab on advanced Excel functions |
1.0 |
Every Week |
1.00 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
| Workload: Part Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecturer-Supervised Learning (Contact) |
Course content |
2.0 |
Every Week |
2.00 |
| Lab |
IT lab onadvanced Excel functions |
1.0 |
Every Week |
1.00 |
| Independent & Directed Learning (Non-contact) |
Study and assessment |
4.0 |
Every Week |
4.00 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
Module Resources
| Recommended Book Resources |
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- CIBSE 2006, Degree Days: theory and application, CIBSE London [ISBN: 1-903287-76-6]
- Carbon Trust 2007, Degree days for energy management - a practical introduction
| | Supplementary Book Resources |
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- NSAI 2008, IS ISO 13790 Calculation of energy use for space heating and cooling, NSAI Dublin
| | This module does not have any article/paper resources |
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| Other Resources |
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- Website: www.degreedays.net
- Website: n/a
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Module Delivered in
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