| Author: | Lan, Liyao |
| Title: | Evaluation of pet related electricity consumption and its impact on residential building energy simulation : a case study of cat and dog households in Hong Kong |
| Advisors: | Lu, Lin Vivien (BEEE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Subject: | Pets -- China -- Hong Kong Pet owners -- China -- Hong Kong Energy consumption -- China -- Hong Kong Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Building Environment and Energy Engineering |
| Pages: | ix, 74 pages : color illustrations |
| Language: | English |
| Abstract: | The increasing prevalence of pet ownership in urban areas, coupled with rising energy consumption concerns, necessitates a deeper understanding of the electricity demands associated with pets. This article explores the electricity consumption linked to pet ownership in Hong Kong, aiming to quantify the impact of pets on household energy usage. The study employs a mixed-methods approach, incorporating literature reviews, questionnaire, statistical analysis, field survey and energy simulations using EnergyPlus software. The research indicates that while pet-related parameter, especially number of pets, do influence overall electricity consumption, their contribution is relatively modest compared to other household factors, and the statistics of pet electricity consumption are difficult to separate from the whole household. In addition, from the simulation results of this study, which attempts to establish a simulation method considering the presence of pets, the simulation considering the presence of pets may reduce the performance gap. The study highlights the need for comprehensive data collection and analysis to better understand the specific energy demands of various pet types and household structures. Acknowledging limitations in sample size and survey design, the study suggests future research directions, emphasizing the potential of big data and advanced statistical techniques to refine our understanding of pet electricity consumption patterns and to inform energy-efficient practices in pet-owning households. The findings contribute to a more nuanced understanding of how pet ownership can be integrated into energy modeling, ultimately aiding in the development of more accurate residential energy simulations. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8071.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.36 MB | Adobe PDF | View/Open |
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