Thermal Control Processes by Deterministic and Network-Based Models for Energy Use and Control Accuracy in a Building Space

Processes

Jonghoon Ahn¹ 

[1] School of Architecture and Design Convergence, Hankyong National University, Anseong 17579, Korea;

关键词: design strategy;    building space;    energy use;    human comfort;    deterministic model;    network-based model;   

DOI  :  10.3390/pr9020385

来源: DOAJ

【 摘 要 】

Various control approaches for building thermal controls have been studied to improve the energy use which determines a large part of the spatial thermal quality. This research compares the performance of deterministic models and a network-based model to examine the aspects of both energy consumption and thermal comfort. The single-switch deterministic model immediately responds to indoor thermal conditions, but the network-based model sends better-fit signals derived from learned data reflecting seven different climate conditions. As a result, the network-based model improves the thermal comfort level by about 6.1% to 9.4% and the energy efficiency by about 1.8% to 39.5% as compared to a thermostat and a fuzzy model. In the case of a specific weather condition, it can be confirmed that the process of finding efficient control values based on the network-based learning algorithm is more efficient than the conventional deterministic models.

【 授权许可】

Unknown