River-water Temperature Analysis and Energy Consumption Analysis of the Huangpu River River-water Source Heat Pump in Cooling Season

FA Zheng-hao

doi:10.3969/J.ISSN.2095-3429.2017.02.021

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

River-water Temperature Analysis and Energy Consumption Analysis of the Huangpu River River-water Source Heat Pump in Cooling Season

更新时间：2025-06-06

- River-water Temperature Analysis and Energy Consumption Analysis of the Huangpu River River-water Source Heat Pump in Cooling Season
- Vol. 38, Issue 2, Pages: 88-91(2017)
- 作者机构：
  
  上海建筑设计研究院有限公司,上海,200041
- 作者简介：
- 基金信息：
- DOI：10.3969/J.ISSN.2095-3429.2017.02.021
  CLC： TU831
- Online First：30 April 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
FA Zheng-hao. River-water Temperature Analysis and Energy Consumption Analysis of the Huangpu River River-water Source Heat Pump in Cooling Season[J]. 2017, 38(2): 88-91.
DOI：

FA Zheng-hao. River-water Temperature Analysis and Energy Consumption Analysis of the Huangpu River River-water Source Heat Pump in Cooling Season[J]. 2017, 38(2): 88-91. DOI： 10.3969/J.ISSN.2095-3429.2017.02.021.

摘要

利用实际工程项目获取的室外气象参数及黄浦江水温数据

分析上海地区制冷季室外温度与江水温度的变化

并通过逐日数据计算分析比较了江水源热泵机组与常规冷源机组的能耗

结论显示在制冷季中江水源热泵机组有一定的节能优势

但节能效果并不显著。

Abstract

The temperature change of the outdoor air and the river water in cooling season in Shanghai is analyzed.The energy consumption comparison between the river-water source heat pump and the conventional cold source unit is carried out using daily data. River-water source heat pump has its advantage but not significant in energy saving design in cooling season.

关键词

Keywords

references

Views

182

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Flow Channel Reconstruction and Thermal Energy Storage Performance Analysis of Wide-Temperature-Range Solid Particle Packed Beds

Equivalent Modeling for Active Distribution Network Based on Hierarchical Double Deep Q Network

Path Planning Method for Intelligent Unmanned Aerial Vehicle Inspection Considering Wind Farm Wake Effects

Multi-Agent Collaborative Optimization in New Power Systems Driven by Integration of Evolutionary Game and Federated Learning

Research on Gas-Thermal-Electric Characteristics of Proton Exchange Membrane Fuel Cell and Its Cooperative Control Strategy

Related Author

No data

Related Institution

No data

AI问答

⁰