{"title":"基于重力基准和路线轮廓特征的道路运输能量评估新效率模型","authors":"O. Dinolov","doi":"10.1109/eeae53789.2022.9831407","DOIUrl":null,"url":null,"abstract":"A first of its kind gravity-based benchmarking model for assessing the energy efficiency in transportation processes provided by motor vehicles has been developed. The model allows comparison with the theoretical minimum and separates the consumption into useful and non-useful part. Based on the model, a computer algorithm is developed and a software tool for automated investigations is created. The workability and the applicability of the model is tested for two typical motor vehicles in the field. The average efficiency varies from 0.12 % to 0.41 %. The data show very low levels of energy efficiency and are indicative of the need to rethink the considered transport technologies.","PeriodicalId":441906,"journal":{"name":"2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Novel Efficiency-Based Model for Road-Transport Energy Evaluation Using Gravitational Benchmark and Route-Profile Characteristics\",\"authors\":\"O. Dinolov\",\"doi\":\"10.1109/eeae53789.2022.9831407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A first of its kind gravity-based benchmarking model for assessing the energy efficiency in transportation processes provided by motor vehicles has been developed. The model allows comparison with the theoretical minimum and separates the consumption into useful and non-useful part. Based on the model, a computer algorithm is developed and a software tool for automated investigations is created. The workability and the applicability of the model is tested for two typical motor vehicles in the field. The average efficiency varies from 0.12 % to 0.41 %. The data show very low levels of energy efficiency and are indicative of the need to rethink the considered transport technologies.\",\"PeriodicalId\":441906,\"journal\":{\"name\":\"2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/eeae53789.2022.9831407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eeae53789.2022.9831407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Novel Efficiency-Based Model for Road-Transport Energy Evaluation Using Gravitational Benchmark and Route-Profile Characteristics
A first of its kind gravity-based benchmarking model for assessing the energy efficiency in transportation processes provided by motor vehicles has been developed. The model allows comparison with the theoretical minimum and separates the consumption into useful and non-useful part. Based on the model, a computer algorithm is developed and a software tool for automated investigations is created. The workability and the applicability of the model is tested for two typical motor vehicles in the field. The average efficiency varies from 0.12 % to 0.41 %. The data show very low levels of energy efficiency and are indicative of the need to rethink the considered transport technologies.