Medline had already had a 99.9kW solar installation in place and they wanted to further increase their savings. Since it was going so well they approached Kuga Electrical to design a larger system for them. Kuga completed a feasibility report and recommended that Medline install a 450kW solar system.
Kuga installed 1000 x 450W Solar Panels at Medline
We installed a 450kW system on top of the existing. This involved the installation of 1000x 450W solar panels. The challenge was, as soon as you go above the 99.9kW capacity threshold you move into the large scale rebate system, which means we had to monitor the new install separately to the existing, in order for Medline to claim their LGC rebates.
Comparing 100kW solar system against a 450kW solar system
Medline installed a 100kW solar system in 2017 and they claimed STC rebates. Kuga installed a 450kW solar system in January 2021 using the LGC rebate. Solar panel technology has improved. The improvement in technology can be seen visually in the photo. Kuga Electricals 450kW system is 4.5 times larger in capacity then the 100kW, but takes up 20% less space on a per kW comparison.
4 Sungrow 110kW inverters installed with grid protection
We selected Sungrow SG110CX 110kW solar inverters. At the time these were the largest inverters on the market. Installing them we could get 450kW worth of solar PV capacity with only four of them in a very compact space. Ideally solar installs should be as close as possible to the main switchboard, however in this case it wasn’t possible due to the space requirements. We’ve had to install a sub board and run the cable about 30 meters long -all the way through into the main building.
Solar production within 2% of business case
Ultimately the Kuga Electrical team is very experienced and was able to work around all these issues within a 8-week time frame. Speaking with the CFO of Medline, she expressed how happy they are with the savings they’re getting and the quality of the install.
Kuga Electrical has an accurate prediction capability for solar energy generation. Our prediction is within 2% with the actual results.