摘要
为解决建筑暖通系统高能耗、高碳排放难题,文章构建“光伏—相变储能—地源热泵—热回收”零碳技术协同架构,建立碳—能双目标优化模型,开发基于模型预测控制的智能调控策略。结合上海某办公园区工程案例进行验证,该系统可实现暖通能耗降低53.0%,碳排放减少61.9%,光伏消纳率达85%~92%,静态投资回收期5.8a,内部收益率为16.5%。研究为暖通系统零碳转型提供技术路径,兼具经济与环境效益。
To solve the problems of high energy consumption and high carbon emissions in building HVAC systems,this paper constructs a collaborative architecture of zero-carbon technologies including"photovoltaic-phase change energy storage-ground source heat pump-heat recovery",establishes a dual-objective optimization model of carbon and energy,and develops an intelligent control strategy based on model predictive control.Verified by an engineering case of an office park in Shanghai,the system can reduce HVAC energy consumption by 53.0%,decrease carbon emissions by 61.9%,and achieve a photovoltaic absorption rate of 85%-92%,with a static investment payback period of 5.8 years and an internal rate of return of 16.5%.The research provides a technical path for the zero-carbon transformation of HVAC systems,with both economic and environmental benefits.
作者
侯雨萌
宋锋
HOU Yu-meng;SONG Feng(Weihai Construction Group Company Limited)
出处
《智能建筑与智慧城市》
2026年第3期143-145,共3页
Intelligent Building & Smart City
关键词
暖通系统
零碳技术
协同集成
性能优化
模型预测控制
HVAC system
zero-carbon technology
collaborative integration
performance optimization
model predictive control
