An evaluation and model of the Chinese Kang system to improve indoor thermal comfort in northeast rural China – Part-1: Model development. (December 2015)

• Record Type: Journal Article
• Authors: (John) Zhai, Zhiqiang; Yates, Andrew Porter; Duanmu, Lin; Wang, Zongshan
• Is Part Of: Renewable energy. Volume 84(2015)
• Page Start: 3
• Page End: 11
• Publication Date: 2015-12
• Subjects: Chinese Kang -- Rural heating -- Biomass -- System modeling; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2015.06.003
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: In the rural area of northern China, residents often use a traditional stove-Kang system to heat their homes, which is an effective way of using locally-produced biomass to solve the energy and environment problems. However, many of these homes are not heated sufficiently during the winter months. The current system is inefficient and requires high levels of fuel consumption. This paper researches the Kang system by creating a simplified and modular system modeling program with the aim to assist in accurate real-time design and optimization of the domestic Kang heating system. This part-1 introduces the structure, principles and the underlying equations of the modular simulation system. A variety of improvement measures were modeled and tested, upon the base model, including the use of a water heat exchanger and radiator system to the existing Kang set up, solar hot water system, bathing system, and the use of phase change material at the surface of the Kang. The program demonstrates good flexibility of implementing different technical solutions as well as fast simulation capability. Highlights: Create a simplified and modular system model for optimizing the Chinese Kang heating system. Introduce the structure and the underlying principles of the modular system. Demonstrate the flexibility of implementing various technical solutions and model capabilities.