Validation of an enhanced heat pump Variable Refrigerant Flow (VRF) numerical model in a cold climate using measured field data and simulation
使用测量的现场数据和模拟验证寒冷气候下的增强型热泵可变制冷剂流量 (VRF) 数值模型
基本信息
- 批准号:451883-2013
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2013
- 资助国家:加拿大
- 起止时间:2013-01-01 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ductless multi-split heat pumps (capable of heating and cooling) represent a large part of the existing HVAC market in both the residential and ICI (industrial-commercial-institutional) sectors. A relatively recent advancement in heat pump technology, incorporating variable refrigerant flow (VRF) systems represent a significant enhancement to traditional multi-split systems and are gaining more adoption in North American markets today. Several international studies have shown VRF systems can save 10- 60% of energy consumption depending on building and geographic variables, however, very few VRF studies have been found in North America. Further complicating this issue is the fact that aspects of VRF technology are typically proprietary in nature, making it difficult to accurately model using whole-building simulation software. Although some simulation engines have attempted to incorporate VRF systems in their capabilities, the absence of research verifying these models using measured field data, has slowed market adoption of VRF systems since mechanical engineers choose to rely on traditional systems rather than non-verified new technology, even if published performance is significantly enhanced. The overall goal of this project is to develop a numerical model for VRF systems that is validated by field data.
无管多分体式热泵(能够加热和冷却)代表了住宅和ICI(工业-商业-机构)部门现有HVAC市场的很大一部分。热泵技术的一个相对较新的进步,包括可变制冷剂流量(VRF)系统代表了对传统多分流系统的显着增强,并在今天的北美市场获得更多的采用。一些国际研究表明,VRF系统可以节省10- 60%的能源消耗,这取决于建筑和地理变量,然而,在北美很少有VRF研究。使这个问题进一步复杂化的是,VRF技术的各个方面在本质上通常是专有的,这使得很难使用整个建筑仿真软件进行准确建模。尽管一些仿真引擎试图将VRF系统纳入其功能中,但由于缺乏使用测量的现场数据验证这些模型的研究,减缓了VRF系统的市场采用,因为机械工程师选择依赖传统系统,而不是未经验证的新技术,即使已公布的性能显着增强。该项目的总体目标是开发一个数值模型的VRF系统,通过现场数据进行验证。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Richman, Russell其他文献
Demographic determinants of Canada's households' adoption of energy efficiency measures: observations from the Households and Environment Survey, 2013
- DOI:
10.1007/s12053-017-9578-4 - 发表时间:
2018-02-01 - 期刊:
- 影响因子:3.1
- 作者:
Das, Runa;Richman, Russell;Brown, Craig - 通讯作者:
Brown, Craig
A univariate and multiple linear regression analysis on a national fan (de) Pressurization testing database to predict airtightness in houses
- DOI:
10.1016/j.buildenv.2018.09.030 - 发表时间:
2018-12-01 - 期刊:
- 影响因子:7.4
- 作者:
Khemet, Bomani;Richman, Russell - 通讯作者:
Richman, Russell
Hour-by-Hour Analysis for Increased Accuracy of Greenhouse Gas Emissions for a Low-Energy Condominium Design
- DOI:
10.1111/j.1530-9290.2011.00335.x - 发表时间:
2011-06-01 - 期刊:
- 影响因子:5.9
- 作者:
Bristow, David;Richman, Russell;Pressnail, Kim D. - 通讯作者:
Pressnail, Kim D.
The Development and Application of a Public Energy Literacy Instrument
- DOI:
10.1007/s42330-022-00196-4 - 发表时间:
2022-03-25 - 期刊:
- 影响因子:1.5
- 作者:
Das, Runa R.;Richman, Russell - 通讯作者:
Richman, Russell
Hygrothermal performance of hemperete for Ontario (Canada) buildings
- DOI:
10.1016/j.jclepro.2016.10.102 - 发表时间:
2017-01-20 - 期刊:
- 影响因子:11.1
- 作者:
Dhakal, Ujwal;Berardi, Umberto;Richman, Russell - 通讯作者:
Richman, Russell
Richman, Russell的其他文献
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{{ truncateString('Richman, Russell', 18)}}的其他基金
Residential building archetype classification to drive Net-Zero energy planning for the Canadian residential building stock
住宅建筑原型分类,以推动加拿大住宅建筑存量的净零能源规划
- 批准号:
RGPIN-2019-06124 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Residential building archetype classification to drive Net-Zero energy planning for the Canadian residential building stock
住宅建筑原型分类,以推动加拿大住宅建筑存量的净零能源规划
- 批准号:
RGPIN-2019-06124 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Prediction of the Coupled Hygrothermal and Movement Behaviour of Mass Timber Buildings - A Laboratory to Construction to Post-Occupancy Case-Study Based Numerical Model
体量木结构建筑湿热与运动耦合行为的预测——基于使用后案例研究的数值模型构建实验室
- 批准号:
558275-2020 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Alliance Grants
Residential building archetype classification to drive Net-Zero energy planning for the Canadian residential building stock
住宅建筑原型分类,以推动加拿大住宅建筑存量的净零能源规划
- 批准号:
RGPIN-2019-06124 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Optimizing Building Operations using Machine Learning to Minimize Stack Effect
使用机器学习优化建筑运营以最大限度地减少烟囱效应
- 批准号:
543443-2019 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
Residential building archetype classification to drive Net-Zero energy planning for the Canadian residential building stock
住宅建筑原型分类,以推动加拿大住宅建筑存量的净零能源规划
- 批准号:
RGPIN-2019-06124 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Research and Development to Support an Ultra-Energy-Efficient Residential Building Stock in Ontario
支持安大略省超节能住宅建筑群的研发
- 批准号:
RGPIN-2014-06653 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Research and Development to Support an Ultra-Energy-Efficient Residential Building Stock in Ontario
支持安大略省超节能住宅建筑群的研发
- 批准号:
RGPIN-2014-06653 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Research and Development to Support an Ultra-Energy-Efficient Residential Building Stock in Ontario
支持安大略省超节能住宅建筑群的研发
- 批准号:
RGPIN-2014-06653 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Research and Development to Support an Ultra-Energy-Efficient Residential Building Stock in Ontario
支持安大略省超节能住宅建筑群的研发
- 批准号:
RGPIN-2014-06653 - 财政年份:2015
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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