Energy procurement platform with a distributed energy network

InRange is an enterprise power procurement platform. They are taking a tech-enabled, AI-based approach to streamlining every part of the process to accelerate the adoption of clean energy, making it fast and financially viable (in revenue generated for owners, savings for tenants, and reliable energy at scale for data centres). Their platform empowers tenants and landlords to turn their commercial real estate assets into renewable energy power plants by using AI-based technology to streamline the entire energy procurement process. InRange connects these assets into a distributed energy network, where all network participants, including data centres, can buy and sell excess energy on the InRange Marketplace. InRange uses pre-approved contracts to expedite the process and can facilitate managed grid connections and installation via their trusted partners. For the on-site tenant of the building with the generation, InRange will enter a PPA with that tenant, removing the need for involvement with their energy supplier, while for offtakers (like data centers), they can either contract via a VPPA or a sleeved PPA through an arrangement with their chosen energy supplier. Operational efficiencies achieved by using this full end-to-end solution can cut project costs by 25% resulting in more revenue for landlords and more savings for tenants. InRange has two models for incorporating PV panels onto a building. In their “Lease Model,” InRange owns the panels and pays the capex for hardware and installation. In their “License Model,” the landlord owns the panels and pays the capex. Regardless of the model selected, InRange provides all procurement, installation, operations, and maintenance.

By connecting buildings to a distributed renewable energy network where they can buy and sell excess energy, InRange’s model encourages up-sizing of solar installation as opposed to the traditional recommendation of right-sizing. Excess energy is sold at fixed export tariffs to other customers on the network. They also aggregate distributed excess generated energy into multi-MW blocks with reliable production curves, which can then be sold to large energy buyers that have hourly local matching procurement goals, like data centres. This creates a new asset class from the built environment as a viable alternative to utility grade solar or wind. The data is collected as part of the entire process and the live network is then fed back into InRange’s AI-models to further optimise the platform. A marketplace is also available where non-generating assets can join and buy energy via a PPA from assets that have excess. On the marketplace, InRange will match generating buildings with other buildings on their network (often from the same landlord or tenant) which cannot install solar or whose demand outpaces the generation potential of their roof.

Every part of the InRange platform is built to accelerate traditionally slow processes to facilitate scale. Their platform can generate feasibility studies with accurate generation/demand forecasts and financial models which optimise for locality, grid connectivity, and other factors across hundreds of buildings within a portfolio in a matter of minutes. InRange’s pre-approved legal and contracting process is built to scale repeatably across tenants and landlords. Their tech-enabled procurement process and network of trusted tier 1 installers accelerates the time to commercially operational. Additionally, their optimised AI-based supply and demand matching maximises revenue and savings across the network to encourage expansion across the customer’s portfolio. Every additional building streams more data into InRange’s models, further optimising them and improving their speed and ability to scale.