Performance evaluation of a top lighting light-pipe in buildings and estimating energy saving potential

2018 ◽  
Vol 179 ◽  
pp. 57-72 ◽  
Author(s):  
Lakshya Sharma ◽  
Sana Fatima Ali ◽  
Dibakar Rakshit
Keyword(s):  
Performance Evaluation ◽  
Energy Saving ◽  
Light Pipe ◽  
Energy Saving Potential

Thermal performance evaluation and energy saving potential of semi-transparent CdTe in Façade BIPV

Solar Energy ◽  
2022 ◽  
Vol 232 ◽  
pp. 84-91
Author(s):  
Hameed Alrashidi ◽  
Walid Issa ◽  
Nazmi Sellami ◽  
Senthilarasu Sundaram ◽  
Tapas Mallick
Keyword(s):  
Performance Evaluation ◽  
Energy Saving ◽  
Thermal Performance ◽  
Energy Saving Potential

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

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
K. N. Patil ◽  
S. C. Kaushik ◽  
S. N. Garg
Keyword(s):  
Energy Saving ◽  
Performance Prediction ◽  
Empirical Models ◽  
New Delhi ◽  
Test Room ◽  
New Model ◽  
Pipe System ◽  
Light Pipe ◽  
Energy Saving Potential ◽  
Semi Empirical

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%.

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

Sign in / Sign up

Export Citation Format

Share Document