Powering growth through intelligence and smart, scalable energy solutions
Electric Bus Depot
An operator of more than 80 coach buses was introducing the first pair of electric coach buses. Sustainability was very important for the business and the operator had a lot of solar generation from the depot rooftop which was being curtailed. The operator needed to upgrade their grid connection and also looking to provide public charging services.
Trent.Energy Intelligence algorithms identified optimal battery storage capacity, quantified the benefits of expanding their depot rooftop solar and the best energy management strategy for their electrification plans.
Commercial Property
A commercial property owner was looking to generate new revenues by providing energy services to the tenants.
Energy Intelligence identified optimal solar installation, benefits of energy storage and compared grid contract options for the Property Owner. Energy Intelligence also simulated a benefits sharing formula between the tenant that meant significant annual savings to the tenant along with power backup feature.
Dairy Farm
A Dairy Farm sought guidance on optimal storage capacity focusing on savings and payback period, backup power solution and whether additional solar PV would be beneficial to the business.
Energy Intelligence assessed current solar generation, exported energy and recommended the optimal size of storage and how best to operate it to maximise storage benefits.
Lumber mill
A lumber mill with existing solar installation was facing significant solar export and curtailment due to low prices during peak solar hours.
Energy Intelligence assessed current consumption, generation, exported energy and outlined plans to maximise the benefits of exporting energy to the grid. Energy Intelligence also outlined how existing power connection could generate additional revenue by providing aggregator managed grid services
Engineering workshop
An Engineering workshop which uses a lot of machinery with high consumption was exploring opportunities to lower energy costs as their consumption was predominantly during early morning hours.
Energy Intelligence assessed current consumption, generation, exported energy and outlined plans to maximise the benefits of exporting energy to the grid and lower costs through storage. Energy Intelligence also outlined how existing power connection could generate additional revenue by providing aggregator managed grid services.
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