Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

2020 ◽  
Vol 271 ◽  
pp. 115255 ◽  
Author(s):  
Raad Z. Homod ◽  
Khalaf S. Gaeid ◽  
Suroor M. Dawood ◽  
Alireza Hatami ◽  
Khairul S. Sahari
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Time Response ◽  
Optimal Time ◽  
Smart Buildings ◽  
Energy Saving Potential ◽  
Hvac Control

scholarly journals Energy-Saving Potential of Daylighting in the Atria of Colleges in Najran University, Saudi Arabia

2019 ◽  
Vol 7 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Abdultawab Mohammed Qahtan ◽  
Diaeldin A Ebrahim ◽  
Hussein M. Ahmed
Keyword(s):  
Saudi Arabia ◽  
Control System ◽  
Energy Saving ◽  
Energy Savings ◽  
Field Measurements ◽  
Medical Sciences ◽  
Energy Saving Potential ◽  
Time Scheduling ◽  
Illuminance Level ◽  
Present Case Study

Daylighting is recognised as an effective strategy for enhancing visual comfort and reducing energy used for electric lighting. Najran University, Saudi Arabia, has 15 colleges for males and 10 colleges for females. Each college has several atria and courtyards for introducing daylighting into the hearts of college buildings. However, the electrical lights used in the colleges atria and linked corridors keep on all the daytime. This study is an attempt to investigate the daylight illuminance level and energy-saving potential on the atria and linked corridors when it incorporates a time-scheduling lighting control system. The field measurements were performed in the College of Applied Medical Sciences. The results indicate that daylight illuminance in the atrium spaces are abundant with an average illumination level on the atrium floor varying from 300 lux to 3 600 lux, depending on the time of the day. In the clear sky climate of Najran city throughout the year, the time-scheduling control system is effective and found to contribute to approximately 43 855.2 kWh of annual energy savings in electrical-lighting consumption in the present case study scenario. The total annual energy savings from all 25 colleges at Najran University is 1 096 380 kWh/year, which results in a cost saving of approximately 93,512.86 USD. There would be additional substantial savings from other atria and courtyards in all of the college buildings throughout the campus

The performance of a novel window with energy-saving potential in cold regions of China

2021 ◽  
pp. 1420326X2097972
Author(s):  
Zhiqiang Wang ◽  
Yousef G Akhlaghi ◽  
Qi Tian ◽  
Yuanda Cheng
Keyword(s):  
Energy Loss ◽  
Energy Saving ◽  
Single Layer ◽  
Cost Benefit ◽  
Superior Performance ◽  
Optimal Time ◽  
Time Interval ◽  
Indoor Temperature ◽  
Energy Saving Potential ◽  
Insulation Performance

The thermal insulation performance of a building's windows can have an important role in its energy-saving capability. In this work, we proposed a novel, energy-saving insulated window (ESIW) and investigated its winter insulation ability by conducting temperature, comfort, energy and entropy analyses of a house outfitted with the ESIW system. The natural indoor temperature of houses with ESIW(A) structure windows was generally higher than that with some single-layer functional glasses. Furthermore, it costs less, and therefore demonstrated the highest cost benefit performance. Then, four different ESIW structures (A to D) were designed and tested. The inner ESIW(D) system with 3-cm insulator thickness and an 8-cm air layer had 4.3% superior performance in energy saving relative to the outer ESIW(A) system, which was comprised of 2-cm insulator thickness and an 8-cm air layer. The lower the insulation level, the greater the energy loss with a decrease in the predicted mean vote of occupants. While the predicted percentage dissatisfied of occupants, entropy of energy loss ( Sg), and entropy difference of the whole insulation system ( ΔSiso) would be increased. Finally, the period from 22:00 to 8:00 appears to be the optimal time interval for the use of a roller curtain.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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