the ‘goldilocks principle’
just the right amount of solar, batteries and grid or other energy sources to meet your local energy demand at all times operated to deliver at the available cost & ROI
it’s not a trivial challenge
a smarter way to design, build and optimize local renewable systems investments within a cycle of continuous improvement
design smart-ready system configurations | optimize with predictive smart management | use site specific data to improve
designing a balanced system for each local installation is an challenging process as local environments are complex with many inter-related variables
usually based on extensive calculations, formula and assumptions | an imbalance between PV, batteries and average demand cause waste in the form of over investment in system components without return or under serve your energy needs leaving users with ongoing grid or fuel expenses
a smarter way
explore the right-size and right-balance for your physical system configuration aligned to your local energy needs, investment appetite and other priorities
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our AI-based planning tool has been created to guide better system design so that the physical system assets, such as solar panels and batteries, are balanced in capacity and aligned to the user local energy and ‘endurance’ needs i.e. the time the system would need to support local demand without additional energy input from renewables, grid or other sources
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use our smart-start tool to bench-test how different combinations of solar capacity (PV), battery capacity and demand profiles may perform in different weather-scenarios and grid-rate scenarios considering potential grid savings differences compared to systems without our smart management
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for new systems, design for more efficient application of capital investment, higher ROI and faster payback by configuring the mix of system components for best likely performance with smart-management, aiming for an initial system to be within a radius of the ‘value sweetspot’
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for retrofit applications, you can get a sense of how our smart-optimizer could deliver improvements over existing performance and identify potential areas of imbalance and/or over or under-capacity in PV and batteries affecting performance and returns.
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you may be surprised to see how systems comprised of non-premium elements such as OEM batteries and inverters deliver similar performance and yields to more expensive premium brands, opening up flexibility, choice and alternative price points for your system design
predictive smart management
machine learning and AI-driven planning & control automatically learning, adapting and automating energy optimization tailored to your specific site, local conditions and energy usage all the time
a balanced daily energy plan needs just the right quantity of grid or other non-renewable energy at the right time to balance supply and demand
too much or too little quantity or poor timing results in excessive grid or fuel expense
confidently target further investments
act on real-world data for your system, premises and consumption patterns to improve performance, systems and value over time
future-ready freedom to add or change your energy devices
simplify and de-risk the level of up-front commitment knowing you have the flexibility to migrate to more electrification at your own pace over time, taking advantage of new demand-side appliances and technologies as they come to market e.g. heat-pumps, solid-state heating boilers, alternative storage systems etc. only taking ‘leaps-of-faith’ or disposing of legacy serviceable appliances and technologies as you think appropriate over time
