Technology Selection and Sizing of On-Board Energy Recovery Systems to Reduce Fuel Consumption of Diesel-Electric Mine Haul Trucks

Terblanche, Petrus J.; Kearney, Michael; Hearn, C.S.; Knights, Peter

doi:10.1007/978-3-319-54199-0_17

Cited by 9 publications

(36 citation statements)

References 23 publications

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“…A second contributor to the project's motivation is a case study that has come about due to work conducted by Esfahanian (2014) and Terblanche et al (2018) on the implementation of energy storage systems (ESS) on-board Diesel-Electric drive mining haul trucks (DEMHTs).…”

Section: List Of Tablesmentioning

confidence: 99%

“…In doing so, over 1.5 ML of fuel can be consumed by a truck per year. When a typical 250 t truck, such as the Caterpillar 795F AC (Caterpillar, 2013), descends into a 100 m deep open-pit mine, it dispels approximately 245 MJ of potential energy via its resistor banks (Terblanche et al, 2018). However, these trucks can reverse the operation of their electric traction motors to function as generators and recover energy whilst braking -a concept commonly referred to as regenerative braking.…”

Section: List Of Tablesmentioning

confidence: 99%

“…The HTEMCS has been based on the work done in Terblanche et al (2018). The energy recovery system that has been selected is an electromechanical flywheel with a rated power of 1390 kW, an energy storage capacity of = 46.3 kWh and a mass of 4574 kg.…”

Section: General Problem Setup For the Htemcsmentioning

confidence: 99%

“…The truck selected for the problem is the Caterpillar 795F AC (Caterpillar, 2013). The configuration for a drive system with the energy recovery system installed, as proposed by Terblanche et al (2018), is illustrated in Fig. 9.1.…”

Section: General Problem Setup For the Htemcsmentioning

confidence: 99%

“…9.1. Figure 9.1: Drive system configuration for a DEMHT with the energy recovery system installed (Terblanche et al 2018).…”

Section: General Problem Setup For the Htemcsmentioning

confidence: 99%

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* Multiple-interval, multiple-phase refers to a problem that is modelled using one or more phases and solved on a grid containing one or more intervals. * A nonlinear program is the discrete subproblem that will be solved by the software in place of the continuous time trajectory optimisation formulation. A discussion into nonlinear programming is provided in Section 2.5. Path Constraints ≤ , , (), () ≤ Boundary Conditions The performance index, , has contributions from two terms. The integral term, , is known as the Lagrange cost or the running cost, and the terminal cost term, , is known as the Mayer cost. A combination of the two, as in the above, is known as a Bolza cost (Diehl and Gros, 2017). The decision variables are the initial and final time, as well as the state and control. The constraints are all formulated as inequalities; however, equality constraints can be enforced by setting the upper and lower bounds equal. The above definition has been be expanded to include multiple-phases in Section 4.1. As illustrated in Fig. 2.2, numerous numerical techniques can be implemented to solve a problem that takes the form of Definition 2.1. These numerical techniques are discussed in further detail in Section 2.4. * The active set consists of all constraints that will actually influence the final optimisation. An inequality constraint () ≥ 0 is called inactive at x if (x) > 0. Equality constraints are always active. * The basic idea in homotopy methods is to solve a problem and use its solution as an initial guess for a similar problem. This assists in convergence as it is analogous to warm starting an optimisation.

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Section: List Of Tablesmentioning

confidence: 99%

Section: List Of Tablesmentioning

confidence: 99%

Section: General Problem Setup For the Htemcsmentioning

confidence: 99%

Section: General Problem Setup For the Htemcsmentioning

confidence: 99%

“…9.1. Figure 9.1: Drive system configuration for a DEMHT with the energy recovery system installed (Terblanche et al 2018).…”

Section: General Problem Setup For the Htemcsmentioning

confidence: 99%