Loading...

Extraction of Optimal Combination of Smart Heating Garment for Office Environment

Emadzadeh, Narjes | 2024

0 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57400 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Rajabi Qhahnuyeh, Abbas
  7. Abstract:
  8. This study focuses on the analysis and optimization of smart heating garments in office environments with the aim of improving individual thermal comfort. The primary objective of this research is to answer the question of how integrating a human body thermal model with heating garment systems can contribute to optimizing the garment and, consequently, enhancing individual thermal comfort. The thermal model used in this research is JOS-3, which simulates the thermal behavior of the human body under various environmental conditions. This model, combined with heating garment technology, allows for more precise control of body temperature. In this study, two types of smart heating garments are considered: one with 17 heating elements placed in 17 areas of the garment, each with the same heating power, and the other with 3 heating elements located in the neck, chest, and lower back regions, each with different heating power. The objective function of this study is to minimize the required heating power to maintain skin temperature within the thermal comfort range. A genetic algorithm and the Python programming language were used to solve the thermal equations in this research. This algorithm searches for the optimal combination of heating elements using selection, crossover, and mutation techniques, and provides the best solutions for maintaining thermal comfort in an office environment. To ensure the reliability of the optimization results, validation and verification were also conducted. For model validation, optimization was performed using existing data, and the results were compared with those of similar studies. According to the results, a difference of less than 4% was observed between the simulated values and those reported in the literature, indicating the reliable performance of the model. The findings of this research demonstrated that the smart heating garment was able to maintain the average skin temperature within the acceptable range. In various scenarios, the average skin temperature when using the heating garment ranged between 34 and 34.54 degrees Celsius, indicating the garment's appropriate performance and the effectiveness of individual thermal comfort in office environments
  9. Keywords:
  10. Optimization ; Thermal Analysis ; Human Skin ; Genetic Algorithm ; Wearable Technology ; Smart Heating Garment ; Human Body Thermal Model

 Digital Object List

 Bookmark

No TOC