Open Access

ARTICLE

Research on Optimal Matching of Heating Ventilation Air Conditioning System Based on Energy Saving Requirements

by Dongsheng Xu

Southeast University Architectural Design & Research Institute Co., Ltd., Nanjing, 210000, China

* Corresponding Author: Dongsheng Xu. Email:

Energy Engineering 2020, 117(3), 143-152. https://doi.org/10.32604/EE.2020.010335

Received 27 February 2020; Accepted 04 June 2020; Issue published 10 July 2020

Abstract

With the continuous development of society and the progress of science and technology, the living standards of the people also constantly improve, people pay more and more attention to the pursuit of material life, and the living space of everyday life and office space requirements are also rising, the air conditioning has become the essential in people’s daily life a kind of electrical equipment. The traditional optimal matching methods of heating, ventilation, air conditioning (HVAC) system have common problems such as long matching time, low matching accuracy and many matching times. The application of the best matching method of HAVC system based on energy saving requirements is in line with the requirements of strengthening energy saving, and it is also an urgent need to actively respond to global climate change and establish a responsible image through energy saving. For this situation, this study proposes an optimal matching method for HVAC systems based on operating energy consumption. By analyzing the operation characteristics and energy consumption of HVAC refrigerator, calculating the operating energy consumption of HVAC system; Based on the results of energy consumption, analyzing the capacity matching relationship among photovoltaic modules, fans and batteries in HVAC system, to construct the best matching model between the three groups of devices. The experimental results show that the method proposed in this study has shorter matching time, higher matching accuracy and fewer matching times. This study constructs a new optimal matching model, which has better energy-saving effect and the study’s results have better engineering reference value. It can not only effectively reduce energy consumption, but also effectively protect limited natural resources, which has both natural and social significance.

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