In Situ Performance Analysis of Hybrid Fuel Heating System in a Net-Zero Ready House

Wanrui Qu, Alexander Jordan, Bowen Yang () and Yuxiang Chen
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Wanrui Qu: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Alexander Jordan: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Bowen Yang: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Yuxiang Chen: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada

Sustainability, 2024, vol. 16, issue 3, 1-29

Abstract: The global population’s growth and increased energy consumption have driven greenhouse gas (GHG) emissions. In Canada, the residential sector accounts for 17% of secondary energy use and 13% of GHG emissions. To mitigate GHG emissions, promoting renewable energy and efficient heating systems is crucial, especially in cold climates like Canada, where there is a heavy dependency on fossil fuels for space heating applications. A viable solution is hybrid fuel heating systems that combine electric-driven air-source heat pumps (ASHPs) with natural gas tankless water heaters (TWHs). This system can alternate its operation between the ASHP and TWH based on efficiency and real-time energy costs, reducing grid peak demand and enhancing resilience during power outages. Although lab experiments have shown its benefits, in situ performance lacks evaluation. This study analyzes the in situ energy performance of a net-zero ready house and its hybrid fuel heating system, assessing energy consumption, hourly space heating output, and system heating performance. HOT2000 is a robust simulation software designed for assessing energy consumption, space heating, cooling, and domestic hot water systems in residential buildings. An artificial neural network model was developed to predict the energy performance of the hybrid fuel system, which was used as a substitute for monitored data for evaluating the HOT2000’s simulation results under the same weather conditions. Therefore, this study proposes a comprehensive framework for the in situ performance analysis of hybrid fuel heating systems. This study then, using HOT2000 energy consumption results, evaluates the life cycle costs of the hybrid fuel system against conventional heating systems. Furthermore, this study proposes an economical control strategy using in situ data or manufacturer specifications.

Keywords: in situ performance; cold climate; hybrid heat pump and boiler system; HOT2000; neural network model; heating energy prediction and simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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