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4A CASE STUDY

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Daylight Control

 

Contents

  1. Objectives

  2. Model

  3. Simulation

  4. Results

  

            1. Objective

The objective is to show to what extent office lights would be dimmed by using a daylight control system. In this manner it can be assessed if the technology has the expected effect of energy reduction when only a relatively small glazing area (less than 3% of wall area) exists, as it occurs in many site offices, and whether and to what amount natural lighting would have to be increased. This study will also consider the effect of building (window) orientation on the reduced lighting demand.

At this stage this report does not assess the increase in heating load due to the reduction of lighting gain. This will be considered at a further stage of this project.

 

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            2. Model

A simple office model was created similar to a typical office observed at the construction site we under investigation. The office has a size of 3m * 4m * 2.5m and contains a 1m-squared window and 2 36W tubular fluorescent lights.

A photo sensor is placed at an appropriate position on the ceiling to ensure that the whole room still receives sufficient lighting when artificial light is dimmed.

For this study the lighting control was defined with a set point of 500 lux as the required illuminance for office use. Furthermore a daylight factor of 5% was chosen as suggested in Table 1.13 of the CIBSE Guide A.

The artificial lighting can be dimmed down to 10% of the full light output and will be switched off when daylight has risen above the pre-set level.

 

 

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            3. Simulation

Without Daylight Control System

 Taking into consideration that employees usually leave office lights switched on during the whole working day, the weekly energy per office is estimated 3960Wh. In this case lights are switched on 55 hours per week at a full light output of 72W.

 

 

 

 

 

 

 

 

 

 

  

 

 

Artificial lighting load without daylight control system

With Daylight Control System 

The following graphs demonstrate the change in required artificial lighting load for a typical summer and winter week when a photoelectric dimming control is used in a south orientated office.

 

Typical summer week

 

Normal and diffuse solar radiation

 

 

Typical winter week 

Dimmed artificial lighting load

 

 

 

Normal and diffuse solar radiation

 

Dimmed artificial lighting load

  

The simulation of the summer week demonstrates that daylight alone provides sufficient illumination for 70% of the time. The electric lighting would be used occasionally but dimmed down to a minimum during full day light output.

During the winter week daylight alone does not provide sufficient illumination. However, artificial light would be dimmed down most of the time especially in the period between 10am and 2pm where lighting can be dimmed down to 13% of the full light output.

The table below states the weekly hours of lighting as well as maximum and average light output for all four season for using photoelectric dimming the office with a south orientated window.

 

                      

Season

Hours of electric lighting

%

Maximum light output

W

Average light output

 W

Winter week

100

68.1

35

Spring week

62

21.1

10

Summer week

29

7.2

4.3

Autumn week

90

64.7

23

 
 

Hours of electric lighting and light output for south facing window

 

 

 

The effect of light dimming is, as expected, high even with a relatively small glazing area. Considering that the increase of glazing area would lead to an increase of heating demand, the amount of natural lighting is sufficient and windows do not need to be larger.

Having a south facing window would theoretically give the highest energy saving. However, in practice employees in south facing office can experience glare during most of the afternoon and therefore are forced to make use of the blinds, which would have a negative effect on electric light dimming.

Thus, we suggest avoiding, if possible, that office accommodation have south facing glazing areas but rather east or west facing windows.

 

The following table summarises the theoretical amount of energy savings for our office model dependent on window orientation and season of the year.

 

 

Season

Window Orientation

East

West

South

North

Winter

50%

50%

50%

50%

Spring

91%

85%

91%

82%

Summer

97%

90%

98%

88%

Autumn

67%

63%

71%

63%

Yearly Average

76%

72%

78%

71%

 

 

Percentage of energy savings

 

 

 Depending on the orientation, annual energy savings between 71% and 78% of the current lighting demand in offices can theoretically be achieved by installing automatic daylight control systems in office accommodation.

However the following factors, which influence the performance of the system, have not been included in the previous simulation but need to be considered to achieve realistic values:

 

·         Surrounding buildings

·         Window maintenance (dirty windows)

·         Use of blinds to avoid glare

 

In order to assess the influence of surrounding buildings, energy savings during sunny days have been compared with savings during overcast days, where sunny days would present an open field position and overcast days present a sheltered position of the office.

It has been identified that the presence of high surrounding buildings can reduce energy savings by up to 30% compared to an open field position.

 

 

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            4. Results

This study has demonstrated that an automatic daylight control system would be appropriate for construction site offices, which do not have large glazing areas.

Depending on orientation, surrounding area and employee behaviour, expected energy savings are estimated between 45% and 65% of the current lighting demand in site offices.

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