基于仿真的土方设备规划,减少温室气体排放

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
{"title":"基于仿真的土方设备规划,减少温室气体排放","authors":"","doi":"10.1016/j.autcon.2024.105841","DOIUrl":null,"url":null,"abstract":"<div><div>Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":null,"pages":null},"PeriodicalIF":9.6000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation-based planning of earthmoving equipment for reducing greenhouse gas (GHG) emissions\",\"authors\":\"\",\"doi\":\"10.1016/j.autcon.2024.105841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.</div></div>\",\"PeriodicalId\":8660,\"journal\":{\"name\":\"Automation in Construction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2024-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automation in Construction\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0926580524005776\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580524005776","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

采矿挖掘中常见的大规模推土作业大大增加了温室气体(GHG)的排放量。本文介绍了一种基于模拟的系统,旨在量化这些排放,并确定切实可行的减排步骤。我们开发的系统考虑了现场的具体因素,包括设备规格、地形、路线和天气条件。值得注意的是,该系统可进行 "假设 "情景分析,使我们能够评估不同参数对排放量的影响。该系统的独特之处在于通过智能决策系统优化资源配置,在案例研究中减少了约 7.6% 的温室气体排放。在闲置期间关闭设备可进一步减少排放量达 11.3%。这些发现凸显了操作调整在减轻土方工程对环境影响方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation-based planning of earthmoving equipment for reducing greenhouse gas (GHG) emissions
Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信