Probabilistic Capacity Assessment.
Where should the next electrolyser, BESS or demand block actually sit?
PCA sweeps every candidate zone across a multi-year horizon, optimises capacity by zone, and ranks the locational value of added capacity — three modes, one ranked answer.
Why it matters now Gigawatt-scale data centres and offshore wind are queuing to connect faster than networks can absorb them — grid saturation is the sector's most-cited barrier, and renewable curtailment in parts of Europe ran into double digits in 2025. A large load or generator placed in the wrong zone pays for that congestion for its entire life. PCA finds the zones where it doesn't — ranking locational value before the capital is committed.
Industry context, 2025 — IEA, Ember, market forecasts and a 2025 survey of 100+ energy professionals.
Site it where it earns its capital back.
Relative redispatch cost for a large new asset placed in each candidate zone. The lowest-cost zones are the only places it pays back. Hover any zone.
Three modes, one ranked answer.
Alternating locations
Bundle a candidate asset, shift it through every zone, score by redispatch delta.
Capacity allocation
A single MILP places optimal capacity across zones simultaneously.
Zonal shadow price
The dual of the dispatch — £ per extra MW added in each zone.
Ranked siting
The three views converge on a defensible, ranked siting recommendation.
All three modes converge on the same answer — only a handful of zones let an electrolyser earn its capital back. Everywhere else destroys value.
Brief us on a project.
Send a one-paragraph scope — the system, the codes that apply, and the question you need answered. We typically reply within two working days.
Related: Consultancy · EMT & grid-code compliance · Velon Suites · LumiMerse
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