EV Infrastructure Models
Executive Summary
Key Takeaways
- ✓ EV charging infrastructure economics are driven by utilisation ramp risk, site-level revenue mechanics, grid connection cost, and a network effect between charger density and adoption, each requiring explicit modelling treatment rather than a generic infrastructure investment template.
- ✓ Utilisation ramp should be modelled explicitly against a realistic adoption curve for the specific geography and charger type, since early-life utilisation is typically well below a mature site's steady-state level, and assuming immediate mature utilisation overstates near-term revenue.
- ✓ Site-level revenue mechanics vary materially by charger type, fast charging along a travel corridor carries a different utilisation and pricing profile than destination or workplace charging, and each should be modelled according to its own specific use case rather than a single blended per-site revenue assumption.
- ✓ Grid connection cost can be a material and uncertain component of total capital cost, particularly where local grid capacity requires upgrade to support a site's peak power draw, and this cost and its timing uncertainty should be modelled explicitly rather than assumed as a minor, fixed line item.
- ✓ A network effect exists between charger density and vehicle adoption, greater charging availability supports faster adoption, which in turn supports higher utilisation of existing chargers, and a portfolio investment case should account for this reinforcing dynamic rather than appraising each site in complete isolation from the broader network.
Objective¶
This guide covers modelling EV charging infrastructure investment within Climate Finance & Climate Financial Modelling.
Utilisation Ramp Risk¶
Utilisation should be modelled explicitly against a realistic adoption curve for the specific geography and charger type, since early-life utilisation is typically well below a mature site's steady-state level. Assuming immediate mature utilisation overstates near-term revenue and can materially misstate a site's actual payback period.
Site-Level Revenue Mechanics by Charger Type¶
Fast charging along a travel corridor carries a different utilisation pattern, pricing structure, and dwell time profile than destination or workplace charging, and each should be modelled according to its own specific use case rather than a single blended per-site revenue assumption applied uniformly across dissimilar charger types.
Grid Connection Cost¶
Grid connection cost can be a material and uncertain component of total capital cost, particularly where local grid capacity requires upgrade to support a site's peak power draw. Both the cost and timing of any required upgrade should be modelled explicitly rather than treated as a minor, fixed line item.
The Charger Density and Adoption Network Effect¶
Greater charging availability supports faster vehicle adoption, which in turn supports higher utilisation of existing chargers. A portfolio investment case should account for this reinforcing dynamic explicitly rather than appraising each site in complete isolation from the broader network's effect on adoption.
Common Construction Pitfalls¶
Immediate mature utilisation assumed from site opening. Overstates near-term revenue and misstates the site's actual payback period.
Single blended per-site revenue assumption across dissimilar charger types. Obscures the materially different utilisation and pricing profile between fast charging and destination or workplace charging.
Grid connection cost treated as a minor, fixed line item. Understates a material and genuinely uncertain component of total capital cost.
Sites appraised in complete isolation from the broader network. Ignores the reinforcing relationship between charger density and vehicle adoption.
Recommended Practices¶
- Model utilisation against a realistic, geography- and charger-type-specific adoption curve.
- Model revenue mechanics according to each charger type's own specific use case.
- Model grid connection cost and its timing uncertainty explicitly.
- Account for the charger density and adoption network effect in portfolio-level investment appraisal.
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Related Pillars¶
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Frequently Asked Questions
What are the main drivers of EV charging infrastructure economics?
Utilisation ramp risk, site-level revenue mechanics that vary by charger type, grid connection cost, and a network effect between charger density and adoption, each requiring explicit modelling treatment distinct from a generic infrastructure investment template.
Why should utilisation ramp be modelled explicitly rather than assuming mature utilisation from day one?
Because early-life utilisation is typically well below a mature site's steady-state level as vehicle adoption in the surrounding area builds gradually, and assuming immediate mature utilisation overstates near-term revenue and can materially misstate a site's actual payback period.
Why do different charger types require different revenue models?
Because fast charging along a travel corridor carries a different utilisation pattern, pricing structure, and dwell time profile than destination or workplace charging, and each should be modelled according to its own specific use case rather than a single blended per-site revenue assumption applied uniformly across dissimilar charger types.
Why is grid connection cost treated as a material, uncertain cost component?
Because local grid capacity may require upgrade to support a site's peak power draw, particularly for high-power fast charging installations, and both the cost and the timing of any required upgrade can be uncertain at the point of initial site appraisal, warranting explicit modelling rather than treatment as a minor, fixed line item.
What is the network effect between charger density and adoption?
Greater charging availability supports faster vehicle adoption in a given area, which in turn supports higher utilisation of existing chargers as more EVs are on the road, a reinforcing dynamic that a portfolio investment case should account for explicitly rather than appraising each site in complete isolation from the broader charging network's effect on adoption.
References
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