scholarly journals Energy-Saving and Pollution-Reduction Potential Analysis for Diesel Engines Fueled with Fischer–Tropsch Fuel

ACS Omega ◽  
2021 ◽  
Author(s):  
Jinhong Shi ◽  
Tie Wang ◽  
Haonan Yuwen ◽  
Haoya Wang ◽  
Guanzuo Ji
2015 ◽  
Vol 159 ◽  
pp. 214-236 ◽  
Author(s):  
John Kennedy Mwangi ◽  
Wen-Jhy Lee ◽  
Yu-Cheng Chang ◽  
Chia-Yang Chen ◽  
Lin-Chi Wang

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  

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.


2008 ◽  
Vol 42 (10) ◽  
pp. 3849-3855 ◽  
Author(s):  
Yuan-Chung Lin ◽  
Wen-Jhy Lee ◽  
How-Ran Chao ◽  
Shu-Li Wang ◽  
Tsui-Chun Tsou ◽  
...  
Keyword(s):  

2012 ◽  
Vol 46 (6) ◽  
pp. 621-626 ◽  
Author(s):  
Jiří Jaromír Klemeš ◽  
Petar Sabev Varbanov ◽  
Sauro Pierucci

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