Direct Solutions

Last Updated: 2025-10-06

Direct solutions avoid future emissions by replacing or taking market share from incumbents responsible for higher emissions. These solutions achieve emissions reduction through their direct integration into a lower emissions value chain. Most solutions in the Koi database are direct solutions, as they represent the most straightforward and measurable path to emissions reduction.

Solution Types

Direct solutions include both complete products and critical components:

  • Products: Complete solutions that can be purchased and used to directly achieve GHG impact (e.g., EVs, heat pumps, sustainably produced food)
  • Components: Critical parts of an overall solution that contribute significantly to its GHG impact (e.g., EV batteries, efficient motors, recycled materials)

Modeling Approach

Direct solutions are generally the most reliable for automated modeling because they have clear, measurable emissions reductions that can be directly attributed to the solution's function. The Koi Engine can typically find appropriate baselines for direct solutions by matching them to conventional systems they replace or displace.

Solution value chain diagram showing how direct solutions integrate into lower emissions value chains

Example solution value chain that includes the solution (a heat pump) directly

Unlike facilitating solutions, direct solutions require fewer assumptions about downstream effects and behavioral changes, making them more suitable for automated modeling with minimal human intervention.

Data Lake Matching for Direct Solutions

Direct solutions can be effectively modeled with the Koi Engine by identifying the relevant value chains and markets to align with records from the Data Lake.

Baseline GHG Intensity

Top match, click dropdown to see others

Baseline Market Size

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Solution GHG Intensity

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Market Capture

Based on IEA Net Zero goals for heat pump deployment

Annual Impact Calculation (2035)
(67 - 14) g CO₂e/MJ × 25 EJ heat × 55% deployment = 729 Mt CO₂e/year avoided emissions in 2035
Note: Koi takes care of all year and unit alignment to make data inputs compatible. Trends between known data points for each input are used to interpolate and project values for all years in the analysis.

Allocation Considerations

How to appropriately allocate avoided emissions for direct solutions that are components is an unsettled science. Koi does not pre-segment any analysis data for allocation and instead provides the entire system savings as a model. Users can apply an adjustment factor using their allocation method of choice within a Collection.