Applications of Traditional and Concentrated Photovoltaic Technologies for Reducing Electricity Costs at Ontario Data Centers

Abstract

Demand for cloud-based applications and remote digital storage is increasing. As such, data center capacities will need to expand to support this shift in computing. Data centers consume substantial amounts of electricity in support of their operations, and larger data centers will mean that more energy is consumed. To reduce electricity bills, data center operators must explore innovative options, and this thesis proposes leveraging solar technology for this purpose. Three different photovoltaic and concentrated photovoltaic costing scenarios, as well as four different Ontario-based electricity tariff scenarios – time-of-use, feed-in tariff, power purchase agreement, and a peak-dependent electricity charge involving the province’s global adjustment fee – will be used to determine if there is a business case for using solar technology at data centers in Ontario to reduce energy costs. Discounted net present value, return on investment, internal rate of return, and levelized cost of electricity will be calculated to determine the economic viability of solar for this application, and both deterministic and stochastic results will be provided. Sensitivity of the four metrics to variability from energy yield, operations and maintenance costs, as well as system prices will also be presented.