Increased power efficiency in mining by using high-fidelity haul truck simulation
Autor: | Allysson Sales, Giorgio De Tomi, Brenda Almeida Nogueira, Paulo Henrique de Godoy |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Truck
Consumption (economics) simulator Mining engineering. Metallurgy TN1-997 General Engineering Engineering (General). Civil engineering (General) Unit (housing) CAMINHÕES Transport engineering Diesel fuel High fidelity haul trucks diesel fuel cost Fuel efficiency General Earth and Planetary Sciences Environmental science consumption TA1-2040 Productivity Electrical efficiency General Environmental Science |
Zdroj: | REM-International Engineering Journal v.73 n.1 2020 REM-International Engineering Journal Fundação Gorceix (FG) instacron:FG Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP REM-International Engineering Journal, Volume: 73, Issue: 1, Pages: 93-98, Published: 20 DEC 2019 REM: International Engineering Journal, Vol 73, Iss 1, Pp 93-98 (2019) |
Popis: | The current economic and political scenario in Brazil has allowed small, medium and large companies to adopt cost cutdown and productivity increase strategies. Diesel fuel consumption by off-highway haul trucks stands for one of the largest costs at the Sossego Mine operational management department. Based on this fact, as well as on the 8% increase in the budgeted diesel fuel cost for 2017, the mining unit has decided to implement a project, previously implemented at the Capão Xavier mine site, which makes use of a high-fidelity haul truck simulator for operators' qualification, by working on the major factors impacting fuel consumption. The application of the simulator has been observed to be a potential upturn for the identification and correction of major failures and bad habits impacting fuel consumption. The results suggest a significant diesel fuel consumption cutdown, as well as enhanced haul truck operation ability and performance. |
Databáze: | OpenAIRE |
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