Research Papers

Performance Prediction and Assessment of Energy Conservation Potential for a Light Pipe System in Indian Composite Climate of New Delhi

[+] Author and Article Information
K. N. Patil

SDM College of Engineering
and Technology Dharwad,
Karnataka 580002, India
e-mail: kalmeshnp@gmail.com

S. C. Kaushik

Centre for Energy Studies,
IIT Delhi,
New Delhi 110016, India

S. N. Garg

Senior Scientific officer (Retd.)
Centre for Energy Studies,
IIT Delhi,
New Delhi 110016, India

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received April 26, 2017; final manuscript received February 12, 2018; published online June 18, 2018. Assoc. Editor: Jorge Gonzalez.

J. Sol. Energy Eng 140(5), 051012 (Jun 18, 2018) (9 pages) Paper No: SOL-17-1159; doi: 10.1115/1.4039656 History: Received April 26, 2017; Revised February 12, 2018

Light pipes are popularly used for transporting outdoor sunlight into deep spaces of the building, and hence, use of artificial lighting could be substantially reduced. Performance prediction of a light pipe is an essential step before its use in buildings, so that energy saving potential of the light pipe could be quantified. This paper deals with experimental validation of three existing semi-empirical models for light pipes with different aspect ratios, installed on a windowless test room, at IIT Delhi, New Delhi. Two new semi-empirical models based on the existing correlations are developed. The new model found to perform better with mean bias error (MBE) and root-mean-squared error (MSE) of 0.076 and 0.01, respectively. The better performing new model is used for the evaluation of hourly internal illuminance by the light pipe in a typical meteorological year (TMY) in New Delhi. From hourly internal illuminance in a typical meteorological year, the energy saving potential and CO2 mitigation potential of light pipe system for the test room are evaluated. Monthly average energy saving potentials of the light pipe-fluorescent tube light system are found to be 50% for continuous dimming control and 38% for three-step on–off control. Results show that the light pipe-fluorescent tube light system, with different lighting controls, could reduce CO2 emissions to 15–50%.

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Fig. 9

Predictive performance of Jenkins Muneer model

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Fig. 10

Predictive performance of Shin et al. model

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Fig. 8

Predictive performance of Zhang Muneer model

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Fig. 7

Measurement points of internal illuminance on the floor of the test room

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Fig. 6

Pyranometer and photo sensor to measure external irradiance and illuminance

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Fig. 5

Light pipe specimen configuration

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Fig. 3

Light pipe test room

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Fig. 2

Dual diffuser: (a) outer diffuser plate and (b) inner diffuser plate

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Fig. 1

Details of terms used in Jenkins and Muneer model

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Fig. 11

Predictive performance of new model 1

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Fig. 12

Predictive performance of a new model 2

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Fig. 13

Distribution solar global illuminance at New Delhi station

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Fig. 14

Cumulative frequency of internal illuminance under clear skies

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Fig. 15

Cumulative frequency of internal illuminance under partly overcast sky

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Fig. 16

Cumulative frequency of internal illuminance under overcast sky

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Fig. 17

Monthly CO2 emissions of the light pipe-fluorescent lamp system for four lighting controls for test room

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Fig. 18

Monthly energy conservation potential of the light pipe-fluorescent lamp system for four lighting controls for test room



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