Citespace视角下暖通空调节能研究热点及趋势分析  

Research hotspots and trends of HVAC energy conservation from the perspective of Citespace

作　　者：陈栋才 蔡永翔 陈湘萍[1] CHEN Dongcai;CAI Yongxiang;CHEN Xiangping(College of Electrical Engineering,Guizhou University,Guiyang 550025,China;Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China)

机构地区：[1]贵州大学电气工程学院,贵阳550025 [2]贵州电网有限责任公司电力科学研究院,贵阳550002

出　　处：《智能计算机与应用》2025年第2期24-32,共9页Intelligent Computer and Applications

基　　金：国家自然科学基金(51867007)。

摘　　要：目前,暖通空调(Heating Ventilation and Air Conditioning, HVAC)系统的节能研究在国内外备受关注。知识图谱能够直观地呈现HVAC系统在建筑节能领域中的研究概况与发展脉络,本文使用文献计量学的方法,以Web of Science(WOS)数据库为数据来源,利用CiteSpace软件绘制可视化知识图谱,从时空分布、国家与机构分布、关键词共现、研究趋势变化等方面研究其涵盖的方向及热点。基于关键词共现与聚类分析,得到当前研究热点主要有HVAC系统的建模方式、能耗影响因素挖掘、可采用的控制措施以及可控制对象;基于高被引文献突变分析,得到未来的研究趋势以先进建模技术和先进控制策略为主,如模型预测控制和强化学习控制。Energy-saving research in Heating,Ventilation,and Air Conditioning(HVAC)systems for building applications has been significantly attracted attention worldwide.A visual representation of knowledge graphs is offered to summarize and introduce energy-saving research in the field of HVAC systems within the context of building engineering.In this paper,a bibliometric approach is adopted,utilizing the Web of Science database(WOS)as the data source and employing CiteSpace software to construct visual knowledge graphs.These graphs cover aspects such as spatial-temporal distribution,country and institution distribution,co-occurrence of keywords,and research trend analysis.The current research hotspots are identified,including modeling approaches for HVAC systems,the identification of energy consumption influencing factors,applicable control measures,and controllable objects,through the utilization of keyword co-occurrence and cluster analysis.Furthermore,future research trends are predicted through the analysis of highly cited literature and the identification of sudden changes.These trends are expected to focus on the advancement of modeling techniques and the adoption of advanced control strategies such as model predictive control and reinforcement learning control.

关 键 词：暖通空调 CITESPACE 文献计量学 建筑节能 

分 类 号：TU022[建筑科学]