Published September 2021 | Version v1
Journal article

Energy efficiency assessment of electric shovel operating in opencast mine

  • 1. Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur (India)
  • 2. CSIR-Central Institute of Mining & Fuel Research, Nagpur Research Centre, Nagpur (India)

Description

Highlights: • An analytical model is developed to optimize energy consumption of electric shovel. • The model is based on real time data of operating time and power consumption. • A case study of P & H shovel operating in large opencast mine of India is presented. • The results shows an energy savings potential of 13.45% in electric shovel. • The model can be applied for benchmarking and setting target in operating mines. Electric shovels are used for loading in opencast mines. Energy efficiency assessment of electric shovel is important to minimise its electrical energy usage. Specific power consumption (SPC) has been used as performance indicator to assess energy efficiency of shovel. A modelling framework is developed for estimating SPC of electric shovel from operating time and power measured for each process. The model is illustrated with a case study of 42 cu. m. P & H shovel operating in a large opencast mine of India. The SPC of shovel is optimized for actual operating cycle time components (idle time and digging time). Results of field measurements show that digging operation consumes maximum power in comparison to other operations of electric shovel in a cycle. The model has been used to assess the energy saving potential of electric shovel by using the real time operational data. The minimum SPC of electric shovel is 0.12 kWh/cum for zero idle time and the energy saving potential is 13.45%. The optimization of SPC has also been done for different digging conditions. The model developed can help to set a target for energy consumption of electric shovel operating in a mine.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2021.120703

Additional details

Identifiers

DOI
10.1016/j.energy.2021.120703;
PII
S0360544221009518;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
230
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53112400
Subject category
S32: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; S42: ENGINEERING;
Descriptors DEI
BENCHMARKS; COMPUTERIZED SIMULATION; ENERGY CONSUMPTION; ENERGY EFFICIENCY; OPERATION; OPTIMIZATION; PERFORMANCE; SURFACE MINING
Descriptors DEC
EFFICIENCY; MINING; SIMULATION

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.