Proof of Concept of a Cloud-Based Smart Dual-Fuel Switching System to Control the Operation of a Hybrid Residential HVAC System

Yu, Danilo; Tung, King Yeung; Ekrami, Navid; Demirezen, Gulsun; Fung, Alan S.; Mohammadi, Fazel; Raahemifar, Kaamran

doi:10.1109/appeec45492.2019.8994380

Cited by 6 publications

(12 citation statements)

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“…This part of the work is an extension of the development of the cloud-based SDFSS of hybrid residential HVAC system of ASHP and natural gas furnace (NGF) for simultaneous reduction of energy cost and GHG emission. Detailed theoretical study and proof of concept have been carried out at both TRCA Archetype Sustainable House [17] and a Net-Zero Energy House [18,19] with two different advanced HVAC systems.…”

Section: Objective and Scopementioning

confidence: 99%

“…While an extensive suite of comprehensive building simulation software exists todayincluding programs such as EnergyPlus [43] and TRNSYS [18,19,44,45] Not only is an in-depth knowledge of the building simulation environment crucial, but so is the detailed knowledge of the physical building in the real-world for validation of these models. The long-term goal of this model is to act as a framework for building energy systems that can be applied to multiple types of residential buildings.…”

Section: Research Motivationmentioning

confidence: 99%

“…The IoT devices installed in the near net-zero house in London, Ontario, Canada was used to analyze the behavior of the occupants in terms of how they consume and generate energy [93].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, it is a common observation that the outdoor temperature data gathered from the online weather forecasting services sometimes do not reflect the exact temperature reading of the specific location of the given house. Therefore, to retrieve the information regarding the ambient temperature, it is necessary to either use sensors at the house location for advanced control systems, such as Model Predictive Control (MPC) [95] and SDFSS [19,93] or to build "suitable"…”

Section: Introductionmentioning

confidence: 99%

“…The more effective use of existing fossil resources will allow significant reductions in GHG emissions and energy waste. One middle ground that is gaining acceptance is the hybrid electric ASHP and NGF system, seen as a good compromise between cost and environmental effect [19,93].…”

Section: Introductionmentioning

confidence: 99%

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Cloud-based Smart Dual Fuel Switching System (SDFSS) of Hybrid Residential HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission

Demirezen

2024

Preprint

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<p>A proper heating, ventilation, and air conditioning (HVAC) demand management system plays a prominent role in managing energy intake and taking a significant step towards sustainable housing with the goal of achieving net-zero emissions. Through experiments and simulations, this study investigated the viability of a recently developed adaptive cloud-based Smart Dual Fuel Switching Systems (SDFSSs) controller for residential hybrid HVAC systems. These systems consider various temporal parameters such as weather condition, building thermal demand, fuel price structure, and equipment capabilities into account to optimize space heating system operation, thereby lowering operating costs and greenhouse gas (GHG) emissions. Results show that by integrating SDFSS with existing ASHP technology, GHG emissions could be reduced by over 80 to 90% by 2030 with carbon pricing of $170/tonne. The results of this study could form a modelling and policy framework for different communities and regions. SDFSS would facilitate progressively and cost-effectively transitioning from existing fossil fuel-dominated heating systems to the low-carbon alternative of electric heat pumps powered by clean electricity. Due to the SDFSS’ responsiveness to the random and intermittent nature of renewable energy supply, hybrid heating systems equipped with SDFSS would facilitate wider penetration of renewable energy. Consequently, net-zero emissions could easily be achieved at a greatly accelerated pace before 2050.</p>

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Section: Objective and Scopementioning

confidence: 99%

Section: Research Motivationmentioning

confidence: 99%

“…The IoT devices installed in the near net-zero house in London, Ontario, Canada was used to analyze the behavior of the occupants in terms of how they consume and generate energy [93].…”

Section: Introductionmentioning

confidence: 99%