Large Energy Users
In the past, large commercial and industrial energy users were passive price takers, treating energy as just one of many procurement categories.
Whether they ran tenders in-house or had support from energy consultants, they were going to only a small number of energy providers and made a selection based on the lowest price for the energy commodity.
All that is changing.
Now, large energy users can contract directly with large renewable generators using corporate power-purchase agreements. They can consider innovative new retail products, including pass-through of wholesale energy prices and participation in demand response programs. And, most excitingly, they can now generate and manage their energy needs locally using a range of different distributed energy technologies: solar systems, battery storage systems, EV charging systems, and more.
By reducing dependence on energy supplied from the grid, large energy users can gain more direct control of their greenhouse gas emissions, and reduce their overall energy costs. Solar energy generated and used locally offsets energy, capacity, and network costs. And battery storage systems can maximise solar self-consumption and further reduce these costs.
Optimising the energy supply mix across these new options is challenging, balancing financial and environmental goals, particularly when there are new suppliers in the market providing energy under different business models. Large energy energy users could choose to directly own and control local energy infrastructure or work with project developers and energy providers offering new supply options.
Gridcognition can help with supply optimisation, enabling large energy users to rapidly assess thousands of options across their entire portfolio and multiple market and distribution network jurisdictions. Gridcognition will provide accurate cashflow forecasts that can be taken to senior management or the board to support investment decisions.
Once new energy assets are in the ground, Gridcognition can track and report on the actual delivered financial and performance benefits, and can re-assess and re-optimise design options to help guide decisions on expanding capacity or changing control strategies.
Request a demo to find out more about how Gridcognition can you to explore new energy options and stay in control of your energy future.
At Gridcognition, we’re always thinking energy – musings, ponderings, predictions – we can’t get enough of it. Stay up to date and follow our journey as we work to build the software that enables the future of energy around the world.
Adam Green, an energy engineer turned data scientist, joined Gridcognition as a Data Engineer in late 2020. Having recently returned to New Zealand after an eight year stint in the UK and Germany, which began with a masters in energy engineering, from the University...
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