Tuesday, August 6, 2013

Utilisation of Electrical Energy


Task 1 – Learning Outcome 3.1
Explain the construction, operation and associated circuitry of common lamp types
1. Identify a common discharge lighting luminary for each of the following environments and explain their construction, operation and associated circuitry:
a) An office building
b) An indoor 5-a-side pitch
c) Cul-de-sac street lighting


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Task 2 – Learning Outcomes 3.2 and 3.3
Explain the principles of good lighting design
Plan a lighting scheme
2. A customer has requested a new lighting scheme for his office. The overall illumination is to be 405 lux on the desktops, which are 850mm above the finished floor level. The office is known to have a room utilisation factor of 0.73. A sketch of the office plan has been provided, and the customer has provided a data sheet of the luminaires to be used (below).
a) Using the customer information provided, design a suitable lighting scheme and produce and scale drawing of the luminaire layout.
b) Explain why the design is good or bad


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End of assessment brief





Diagram 1: Office Plan
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47
Augmented Solow model
For an analysis of growth within or across countries the Augmented Solow model developed by Mankiw et al (1992), is capable of incorporating factors such as trade, FDI, inequality, and a measure of institutional quality in addition to the core variables of capital and labour, etc.

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A: Select one additional non-core variable and a country (or countries) of your choice and set up your empirical model for investigating potential impact that the variable may have on growth for the country/countries you have selected. Provide a theoretical and empirical justification for the inclusion of the selected variable. 5%
B: Using the World Bank World Development Indicators (WDI) download relevant time series data for your model; make use of other internationally reputable sources to complement your dataset if data are not available in the WDI. Conduct a preliminary analysis of your data using relevant descriptive statistics techniques. 5%
C: Run relevant regressions using Microfit (available in P2.12 Pemberton). Present the output of your regression, comment on the regression results generated and discuss their theoretical and empirical validity. 20%

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D: Discuss the main problems that you may face conducting regression analysis (other than non-stationarity), and by reference to your regression results, discuss whether they suffer from any of these problems. Make use of relevant diagnostic tests whenever appropriate. 20%
E: Identify whether the variables in your model suffer from non-stationarity. Discuss the possible implication of non-stationarity for your model and how this problem could be addressed. 20%
F: Check whether there is long run relationship between dependent and independent variables in your model. 10%
G: In the light of your findings under D and E above, make any necessary changes to your model to correct for any of the problems that you have identified. Compare and contrast results generated here with those under C. To what extent are you confident about the reliability of your result? What are the policy implications from this analysis? 20%

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