Comfort Fusion Evaluation of the Indoor Thermal Environment Based on KPCA and Genetic Neural Network

2013 ◽  
Vol 448-453 ◽  
pp. 204-208
Author(s):  
Lian Zhang ◽  
Xiao Qian Hu ◽  
Shan Li
Keyword(s):  
Thermal Environment ◽  
Principal Component ◽  
High Accuracy ◽  
Comfort Level ◽  
Kernel Principal Component Analysis ◽  
Indoor Thermal Environment ◽  
Comfort Index ◽  
Sample Data ◽  
Genetic Neural Network ◽  
Simulation Results

For the problem of complicated nonlinear relationships among the parameters of heat comfort index PMV, KPCA (Kernel Principal Component Analysis) is used to do the feature extraction. On the basis, KPCA+BP and KPCA+GNN are utilized to forecast the heat comfort level. Simulation results show that KPCA can extract the nonlinear uncorrelated sample data, and KPCA+GNN are evaluated best with high accuracy.

Study on Improving Thermal Environment of College Dormitory in Chongqing

2012 ◽  
Vol 610-613 ◽  
pp. 2849-2853
Author(s):  
Hong Yin Ou ◽  
Fang Liu ◽  
Qing Long Song ◽  
Long Xing Yu
Keyword(s):  
Field Test ◽  
Indoor Environment ◽  
Thermal Environment ◽  
Air Velocity ◽  
Thermal Discomfort ◽  
Indoor Thermal Environment ◽  
Simulation Results

To improve the low air velocity above the bed areas during the night in hot summer, the reformed plan for the college dormitory fan was presented.The indoor environment was simulated by the software Airpak3.0 to compaire the fan with both no diversion deflector and diversion deflector (the deflector angles are 60°, 120° and 160°) respectively. And a field test was conducted to confirm the simulation results. The results show that the indoor thermal environment above the bed areas has been improved inordinately if adding a deflector with different angles. The air velocity can be increased by 0.15m/s at most when the deflector angle is 160°, yet the airflow displays most evenly with the 120° deflector angle. Meanwhile, the temperature and thermal discomfort have been decreased. The variation of the simulation and measurement values tends to be consistent, so it suggests the fan installing the diversion deflector may improve the thermal environment of college dormitory.

An Improved KPCA Method of Fault Detection Based on Wavelet Denoising

2011 ◽  
Vol 467-469 ◽  
pp. 1427-1432 ◽  
Author(s):  
Xiao Qiang Zhao ◽  
Zhan Ming Li
Keyword(s):  
Principal Component Analysis ◽  
Nonlinear Systems ◽  
Fault Detection ◽  
Principal Component ◽  
Wavelet Denoising ◽  
Kernel Principal Component Analysis ◽  
Random Disturbance ◽  
Kernel Matrix ◽  
Denoising Method ◽  
Simulation Results

For complicated nonlinear systems, the data inevitably have noise, random disturbance, Traditional kernel principal component analysis (KPCA) methods are very difficult to calculate the kernel matrix K for fault detection with large sample sets. So an improved KPCA method based on wavelet denoising is proposed. First, wavelet denoising method is used for data processing, then the improved KPCA method can reduce calculational complexity of fault detection. The proposed method is applied to the benchmark of Tennessee Eastman (TE) processes. The simulation results show that the proposed method can effectively improve the speed of fault detection.

Evaluation of the Influence of One Air Circulation System on LGS House Indoor Thermal Environment

2012 ◽  
Vol 204-208 ◽  
pp. 4343-4348 ◽  
Author(s):  
Jing Li ◽  
Zhi Qiang Deng ◽  
Chuan Li ◽  
Di Zhou
Keyword(s):  
Flow Velocity ◽  
Influence Factor ◽  
Thermal Environment ◽  
Air Flow ◽  
Green Energy ◽  
Comfort Level ◽  
Circulation System ◽  
Indoor Thermal Environment ◽  
Air Flow Velocity ◽  
Air Circulation

Basing on 3 dimensional simulation of Airpak software, it studied the indoor thermal environment characteristics and influence factor of LGS house which provided with one air circulation system. It investigated the indoor air flow velocity field, temperature field, air age distribution and PMV-PPD distribution, and completed prediction and evaluation for air flow organization and air quality. The study shows that this air circulation system improves the air flow velocity and temperature distribution of LGS house indoor, provided a good thermal environment and air exchanging effect for indoor with low energy consumption, this has a significant meaning for improving comfort level of LGS house on the basis of meeting green energy saving.

Evaluating the Performance of Eaves to Promote Energy Efficiency of Traditional Dwellings in Suzhou

2016 ◽  
Vol 858 ◽  
pp. 234-240
Author(s):  
Yue Fu ◽  
Wei Ju Yang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Air Conditioning ◽  
Thermal Environment ◽  
Effective Strategy ◽  
Local Climate ◽  
Indoor Thermal Environment ◽  
Heating And Cooling ◽  
Simulation Results

A shading roof can be an effective strategy to decrease the air-conditioning energy consumption as well as to improve the thermal environment inside a house in the place that is hot in summer and cold in winter. In Suzhou, a city in such place, traditional dwellings were constructed with shading roof eaves that have different sizes, allowing them adaptive to local climate. These eaves are worthy of being studied and improved. This study presents a summary of the sizes of the shading roof eaves of traditional Suzhou dwellings. The southward eave that has the greatest effect on indoor thermal environment is taken as the object of the current study, and a traditional Suzhou dwelling is selected as our case for the current study. Several comparative models are built, in which, the southward length of the roof eave is increased by 0.2m, from 0m to 2m. The effects of the length on both heating and cooling energy consumption are simulated by using the software Energyplus. As shown in the quantitative analysis of the simulation results, the structure is energy-efficient when the length is less than 0.6m, and the annual energy consumption reaches its minimum when the length is 0.4m.

scholarly journals Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jiabin Yu ◽  
Zhaoyang Wang ◽  
Xiaoyi Wang ◽  
Jiping Xu ◽  
Jie Jia
Keyword(s):  
Principal Component ◽  
Analysis Method ◽  
Key Factors ◽  
Effective Evaluation ◽  
Orthogonal Experiments ◽  
Sample Data ◽  
Simulation Results ◽  
Four Levels ◽  
Main Components ◽  
Water Eutrophication

The process of water eutrophication involves the interaction of external factors, nutrients, microorganisms, and other factors. It is complex and has not yet been effectively studied. To examine the formation process of water eutrophication, a set of orthogonal experiments with three factors and four levels is designed to analyze the key factors. At the same time, with the help of a large amount of monitoring data, the principal component analysis method is used to extract the main components of water eutrophication and determine the effective evaluation indicators of eutrophication. Finally, the Bayesian theory of uncertainty is applied to the evaluation of the eutrophication process to evaluate the sample data. The simulation results demonstrate the validity of the research method.

Study on Indoor Thermal Environment of Collection Multi-Layer Settlement Residential Building in Winter—Take the Herdsmen Settlement in Western Mountain Grassland as an Example

2017 ◽  
Vol 14 (1) ◽  
pp. 237-243 ◽  
Author(s):  
Lei Zhang ◽  
Jingyuan Zhao ◽  
Jiaping Liu ◽  
Ming Chang
Keyword(s):  
Air Temperature ◽  
Indoor Air ◽  
Thermal Environment ◽  
Residential Building ◽  
Field Testing ◽  
Indoor Thermal Environment ◽  
Comfort Index ◽  
Mountain Grassland ◽  
Temperature And Humidity ◽  
The Relationship

This study aimed to analyze the winter indoor thermal environment of collection multi-layer settlement residential building in China’s western mountain grassland area. The method of analysis is field testing and data calculation, include indoor air temperature and humidity, outdoor air temperature and humidity, thermal comfort index. The result shows the relationship between indoor thermal environment, envelope materials, heating methods, location of rooms and building type. In addition, the influence was quantified in 0~11 °C in winter. Finally, advice put forward to promote the indoor thermal environment.

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