A probabilistic approach to the energy-saving potential of natural ventilation: Effect of approximation method for approaching wind velocity

2017 ◽  
Vol 122 ◽  
pp. 94-104 ◽  
Author(s):  
Jongyeon Lim ◽  
Yasunori Akashi ◽  
Ryozo Ooka ◽  
Hideki Kikumoto ◽  
Youngjin Choi
Keyword(s):  
Energy Saving ◽  
Wind Velocity ◽  
Approximation Method ◽  
Natural Ventilation ◽  
Probabilistic Approach ◽  
Energy Saving Potential

scholarly journals Analysis of Incorporating a Phase Change Material in a Roof for the Thermal Management of School Buildings in Hot-Humid Climates

Buildings ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 248
Author(s):  
Ruey-Lung Hwang ◽  
Bi-Lian Chen ◽  
Wei-An Chen
Keyword(s):  
Thermal Comfort ◽  
Phase Change ◽  
Energy Saving ◽  
Natural Ventilation ◽  
Phase Change Materials ◽  
School Buildings ◽  
Practical Utilization ◽  
Energy Saving Potential ◽  
Different Seasons ◽  
Indoor Comfort

Strategies to reduce energy consumption are presently experiencing vigorous development. Phase change materials (PCMs) are novel materials that can reduce indoor temperatures via the change in material phase. Regarding the situation in Taiwan, there is no practical utilization of PCMs in school buildings at present, especially in combination with rooftops. In this paper, we discuss the feasibility and utilization potential of installing PCMs in the rooftops of school buildings. School buildings located in northern and southern Taiwan (Taipei and Kaohsiung) were selected to analyze the energy-saving potential and optimization of indoor thermal comfort by installing PCMs with different properties in rooftops over two time periods, including the air conditioning (AC) and natural ventilation (NV) seasons. Based on the simulation results, the feasible patterns of PCM simultaneity are found to be appropriate for improved indoor comfort and energy saving during the different seasons. Specifically, the efficient phase change temperature (PCT) for different PCM thicknesses is clarified to be 29 °C. The economic thickness of PCM was clarified to be 20 mm for Taipei and Kaohsiung. Through the recommendations proposed in this study, it is expected that the PCMs may be efficiently implemented in school buildings to realize the goal of energy conservation and improve thermal comfort.

scholarly journals Energy saving potential of natural ventilation in China: The impact of ambient air pollution

2016 ◽  
Vol 179 ◽  
pp. 660-668 ◽  
Author(s):  
Zheming Tong ◽  
Yujiao Chen ◽  
Ali Malkawi ◽  
Zhu Liu ◽  
Richard B. Freeman
Keyword(s):  
Air Pollution ◽  
Energy Saving ◽  
Natural Ventilation ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Energy Saving Potential ◽  
The Impact

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.

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