Smart Integration and Control Strategies for Multi-Fuel Residential Hybrid Integrated HVAC Systems

多燃料住宅混合集成 HVAC 系统的智能集成和控制策略

• 批准号: 542594-2019
• 负责人: Fung, Alan
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681145
• 关键词: Smart; Integration; Control; Strategies; Multi

The objective of the project is to investigate and evaluate the smart integration and control strategy of two sets of hybrid residential natural gas-electric HVAC systems for simultaneous reduction of energy cost and greenhouse gas (GHG) emission while providing remote equipment diagnostics capability for predictive maintenance. The proposed system will utilize the cloud computing platform, ICT, IoT sensors, wifi-connected thermostat, and AI/ML/data analytic techniques to develop such controller. The studied hybrid HVAC systems include 1) an air source heat pump (ASHP) and a natural gas furnace and 2) a cold climate ASHP, a tankless natural gas water heater, and an electric hot water tank all coupled with a variable capacity hydronic air handling unit. To address these challenges, Cricket Energy and Ryerson University are collaborating to develop a smart HVAC controller that can be implemented and deployed in residential homes to 1) optimally decide whether an electrically driven ASHP or a natural gas furnace/boiler should be used on a real-time (hourly) basis, utilizing temporal information on space heating demand, equipment capacities and efficiencies, energy pricings, and short-term weather forecasts and 2) provide remote equipment diagnostics for preventive maintenances using data analytics. This system could also be linked to the local utility's demand response (DR) system for full integration and participation with local smart grid infrastructure, thus, offering even greater flexibility and benefit to both home owners and utilities. The expected cloud-based smart predictive residential HVAC control system will offer a user-friendly cost saving opportunity to home owners while enabling the industry partner to create new subscription-based services for remote equipment diagnostics and predictive maintenance. Therefore, the proposed system will be benefical to both home owners, by having a more flexible energy supply at a lower energy cost, and utilities (electric, natural gas, and service provider/aggregator) alike. For the society, more natural gas being displaced by the clean source of electricity (such as in Ontario, Quebec, British Columbia and Manitoba) for heating will translate into lower overall GHG emission.

该项目的目标是调查和评估两套混合住宅天然气-电力HVAC系统的智能集成和控制策略，以同时降低能源成本和温室气体排放，同时为预测性维护提供远程设备诊断能力。该系统将利用云计算平台、ICT、物联网传感器、wifi连接恒温器和AI/ML/数据分析技术来开发这种控制器。所研究的混合HVAC系统包括1)空气源热泵（ASHP）和天然气炉；2)冷气候空气源热泵、无罐天然气热水器和电热水箱，它们都与可变容量的水力空气处理装置相结合。为了应对这些挑战，蟋蟀能源公司和瑞尔森大学正在合作开发一种智能暖通空调控制器，可以在住宅中实施和部署，1)利用空间供暖需求、设备容量和效率、能源价格等时间信息，实时（每小时）最佳地决定是使用电动空气源热泵还是天然气炉/锅炉，短期天气预报和2)使用数据分析为预防性维护提供远程设备诊断。该系统还可以连接到当地公用事业的需求响应（DR）系统，以充分整合和参与当地智能电网基础设施，从而为业主和公用事业提供更大的灵活性和利益。预计基于云的智能预测住宅HVAC控制系统将为房主提供用户友好的成本节约机会，同时使行业合作伙伴能够为远程设备诊断和预测性维护创建新的基于订阅的服务。因此，拟议的系统将有利于房主和公用事业（电力、天然气和服务提供商/聚合商），因为它以更低的能源成本提供更灵活的能源供应。对于社会而言，更多的天然气被清洁的电力来源（如安大略省、魁北克省、不列颠哥伦比亚省和马尼托巴省）所取代，用于供暖，将转化为更低的温室气体总排放量。