{"title":"Harvesting electricity from road traffic noise energy – a literature review","authors":"Rashid Tanzadeh, Mehran Eskandari Torbaghan, Nikolaos Venetsaneas, Fereidoon Moghadas Nejad","doi":"10.1680/jtran.23.00057","DOIUrl":null,"url":null,"abstract":"Recent developments in digital technologies, including big data and internet of things concepts, have shown promising results in achieving more appropriate and effective pavement engineering through a proactive asset management approach. This could be achieved through an early diagnosis of defects and selection of an appropriate maintenance strategy informed by more granular data by the utilisation of advanced sensing systems. Such a sensing system for pavement, which should include a combination of embedded sensors and surface data sensors (e.g. cameras) would require electricity, which could be problematic when considering the growing demand for electricity around the globe. Harvesting electricity from the pavement, for example from traffic noise, which is the focus of this article, could bring new hope for achieving self-efficient and sustainable sensing systems for roads. If effective, an electricity generation system from road traffic noise could be counted towards the net zero carbon dioxide target set by road authorities. A review of the literature revealed that the noise of air pumping between the tyre and the pavement surface is the critical noise source with the highest potential for electricity generation. Harvesting, storage and conversion of noise energy to electrical energy are still in the preliminary stages.","PeriodicalId":49670,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Transport","volume":"31 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Civil Engineers-Transport","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1680/jtran.23.00057","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Recent developments in digital technologies, including big data and internet of things concepts, have shown promising results in achieving more appropriate and effective pavement engineering through a proactive asset management approach. This could be achieved through an early diagnosis of defects and selection of an appropriate maintenance strategy informed by more granular data by the utilisation of advanced sensing systems. Such a sensing system for pavement, which should include a combination of embedded sensors and surface data sensors (e.g. cameras) would require electricity, which could be problematic when considering the growing demand for electricity around the globe. Harvesting electricity from the pavement, for example from traffic noise, which is the focus of this article, could bring new hope for achieving self-efficient and sustainable sensing systems for roads. If effective, an electricity generation system from road traffic noise could be counted towards the net zero carbon dioxide target set by road authorities. A review of the literature revealed that the noise of air pumping between the tyre and the pavement surface is the critical noise source with the highest potential for electricity generation. Harvesting, storage and conversion of noise energy to electrical energy are still in the preliminary stages.
期刊介绍:
Transport is essential reading for those needing information on civil engineering developments across all areas of transport. This journal covers all aspects of planning, design, construction, maintenance and project management for the movement of goods and people.
Specific topics covered include: transport planning and policy, construction of infrastructure projects, traffic management, airports and highway pavement maintenance and performance and the economic and environmental aspects of urban and inter-urban transportation systems.