Conveyor Feasibility Study

CDI can carry out the full conveyor feasibility study, from Route Selection, Conveyor Design to Cost Estimate.

Route Selection

3-D modeling of route topography allows CDI to optimize civil works and the placement of elevated or ground level steel support structures. Route optimization allows the comparison of design options to reduce cut and fill activities, eliminate material transfer points by appropriate placement of horizontal and vertical curves, and reduces potential conflicts with environmentally or politically sensitive neighbors. All of these in turn reduce the ultimate capital cost (CAPEX) and operating cost (OPEX) of the conveyor system.

3-D modeling of route topography allows CDI to optimize civil works and the placement of elevated or ground level steel support structures. Route optimization allows the comparison of design options to reduce cut and fill activities, eliminate material transfer points by appropriate placement of horizontal and vertical curves, and reduces potential conflicts with environmentally or politically sensitive neighbors. All of these in turn reduce the ultimate cost of building (CAPEX) and operating (OPEX) your conveyor system.

Terrain Modeling - Conveyor Design Cut and Fill Optimization Terrain Modeling - Low-res Animation Example of animated flythrough
Cut & Fill Optimization 
High-res Screenshot
Cut & Fill Optimization / Flythrough
Low-res Animation Example of animated flythrough.** Large graphic (3.43MB) **
Mine Transport Corridor - Aerial View Mine Transport Corridor - Topographic Route Layout with Cut and Fill Estimates
Mine Transport Corridor – Aerial View Mine Transport Corridor – Topographic Route Layout with Cut and Fill Estimates

Conveyor Design

Based on the project, regulatory and environmental requirements, CDI will carry out meticulous engineering on the selected conveyor types, being either Trough Conveyor, Pipe Conveyor, or other specialty conveyor, using our in-house Beltstat software for conveyor static analysis and Beltflex for conveyor dynamic analysis. The conveyor design process specifies the drive size and location, belt selection, idler selection, and includes engineering on the conveyor components like pulleys, truss structures and maintenance trolleys.

Capital Cost Estimate

CDI typically develop the conveyor system capital cost estimate in accordance with the requirements of AACEI (American Association of Cost Engineer International) estimate methodology to achieve the agreed accuracy range. The capital cost estimate includes Direct Cost like mechanical components cost, structural cost, civil cost, etc. The Indirect Cost includes engineering, labor, freight, contingency, etc. Normally owner’s cost like permitting and land acquisition is separate but can be included as well.

A Typical CAPEX Cost Table with +/-20% Accuracy
A Typical CAPEX Cost Table with +/-20% Accuracy

Operating Cost Estimate

The operational expenditure (OPEX) is developed in accordance with the AACEI methodology on the basis of an owner operator. The OPEX cost analysis includes:

  • Power consumption
  • Planning and supervision
  • Cleaning and house keeping
  • Inspections and lubrication
  • Planned equipment maintenance and repairs
  • Unplanned equipment maintenance and repairs

Maintenance costs are derived from:

  • OEM maintenance practices and scheduling
  • Equipment pricing for major components
  • Industry knowledge and experience

 

A Typical OPEX Cost Table
A Typical OPEX Cost Table

CDI can also take a further step to combine the CAPEX and OPEX to optimize the lifecycle cost for a given project. Multiple route options and conveyor design options are included in this analysis to compare the total lifecycle cost at the Net Present Value. The end result provides the end user a much clearer financial picture so that better decisions can be made during the project planning stage.

Lifecycle Cost Analysis at Net Present Value for Different Conveyor Design Options
Lifecycle Cost Analysis at Net Present Value for Different Conveyor Design Options

 

Feasibility Study was last modified: April 10th, 2018 by CDI