Place Service Drop Poles 20180603-0800

Run this computational tool to place the following components of a grid:

• Service Drop Poles
• Service Drop Lines

The algorithm makes the following optimizations:

• Place service drop poles near roads.
• Avoid pole obstacles when placing service drop poles.
• Avoid line obstacles when placing service drop line.

Relevant Industries

• Energy > Grid
• Energy > Microgrid

Target Applications

• Grid Extension
• Microgrid Site Design

Pricing Notes

• Pricing is on a per-site basis.
• Please contact billing@crosscompute.com for special rates.

Usage Notes

• Choose a sufficient amount of memory and time to run the algorithm.
• You can influence the algorithm to put more distribution poles near roads by increasing Off Road Cost Multiplier.
• The algorithm is also available as an API for easier automation and integration into your workflow.

Acknowledgments

Thank you to the following groups that made this work possible:

• CrossCompute
• Electric Vine
• Powerhive
• Quadracci Sustainable Engineering Lab

Geography

The algorithm expects an attribute called demand or demand_in_kwh_per_day for each customer (see Electricity).

Electricity

{ panel_min_count_per_kwh : Solar Panel Minimum Count per kWh ? Minimum number of solar panel poles required per kWh of demand }

Layout

Cost

Algorithm