Comparative life cycle assessment and costing of an autonomous lawn mowing system with human-operated alternatives: implication for sustainable design improvements
| Autor: | François Cluzel, Zhonghao Pan, Bernard Yannou, Yann Leroy, Jason Daniel Wattonville, Troy Shannon, Michael Saidani, Harrison M. Kim, Andrew Greenlee |
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| Přispěvatelé: | University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Laboratoire Génie Industriel (LGI), CentraleSupélec-Université Paris-Saclay, John Deere Technology & Innovation Center |
| Rok vydání: | 2021 |
| Předmět: |
Engineering
Environmental evaluation design improvement 010501 environmental sciences 01 natural sciences 7. Clean energy economic analysis [SPI]Engineering Sciences [physics] 03 medical and health sciences autonomous systems sensitivity analysis Comparative life cycle assessment environmental evaluation 11. Sustainability Sustainable design Activity-based costing 030304 developmental biology 0105 earth and related environmental sciences 0303 health sciences [SDE.IE]Environmental Sciences/Environmental Engineering business.industry General Engineering Lawn mowing Environmental economics sustainability [SDE.ES]Environmental Sciences/Environmental and Society [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Popularity Automation Sustainability business |
| Zdroj: | International Journal of Sustainable Engineering International Journal of Sustainable Engineering, Taylor & Francis, 2021, pp.1-21. ⟨10.1080/19397038.2021.1919785⟩ |
| ISSN: | 1939-7046 1939-7038 |
| DOI: | 10.1080/19397038.2021.1919785 |
| Popis: | International audience; Due to recent technological advancements, automation and autonomous solutions are gaining increasing popularity. Yet, a lack of in-depth investigations is noticed on the potential environmental benefits and economic repercussions of implementing autonomous systems. The present study aims to fill part of this gap by quantifying the environmental and economic sustainability of a robotic lawn mower, in comparison with human-operated counterparts. Combining life cycle assessment and life cycle costing methodologies, and by defining adequate functional units, building simulation models, and collecting life cycle inventory data, a systematic comparative study between autonomous and conventional lawn mowers is performed on their environmental and economic impacts. Through this multi-indicator analysis, environmental and economic trade-offs between the autonomous and conventional mowing solutions are quantitatively discussed for key relevant usage scenarios, from mowing an average residential yard to maintaining larger fields like a football stadium or a schoolyard. Concretely, sensitivity analyses on key parameters influencing the performance of the autonomous mower have been conducted to evaluate the environmental and economic benefits of an augmented robotic mower. While optimising the path planning of the current robotic mower would lead to the most substantial savings, improvements on the battery performance, cutting width, and speed of the autonomous solution appear as other promising areas for future work. |
| Databáze: | OpenAIRE |
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