Kelda Kraft · Plant performance report
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{{ mArchetype }} · {{ mRegion }} · price zone {{ mZone }} — {{ mPeriod }}
Installed
{{ mInstalled }} MW
Max flow
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Reservoir
{{ mResH }} h · {{ mResMm3 }} Mm³
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The headline · {{ mYear }}
Co-optimising {{ mName }} across all balancing markets lifted modelled revenue {{ heroUpliftPct }} over day-ahead‑only dispatch — {{ heroDriver }}.
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Revenue uplift
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Additional / year
Performance — {{ selLabel }}
Select market strategy ↓
Total revenue
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Energy
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MWh to grid
Capacity factor
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of {{ mInstalled }} MW
Capture rate
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{{ kpiCaptureSub }}
Reservoir cycles
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full equiv. / yr
Spill
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Revenue by strategy
{{ curNote }} · Δ vs day-ahead only
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Revenue by market
{{ selLabel }} · reserved MW · activated MWh/h
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The market strategies · what each scenario co-optimises
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Generated with KeldaKraft HydroScope OPTMZ
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{{ mName }} · Operations & water balance · {{ mYear }}
01 Scenario comparison · uplift vs. day-ahead only
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02 Water balance & capture · {{ selLabel }}
Total inflow
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Mm³ · {{ mInflowNote }}
Turbined
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Mm³ through turbine
Spill (lost)
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Mm³ · {{ wbSpillPct }} of inflow
Avg reservoir
{{ wbRes }}
% of usable volume
Capture rate
{{ wbCaptureIdx }}
revenue ÷ (inflow energy × {{ mSpot }} €/MWh)
03 How the plant was dispatched · optimised dispatch for the selected strategy
Reserve capacity held
{{ selLabel }} · up from top, down from bottom
{{ reserveChart }}
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Reservoir trajectory
weekly · Mm³ · all strategies, selected highlighted
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Weekly revenue by market
{{ selLabel }} · 52 equal periods
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Generated with KeldaKraft HydroScope OPTMZ
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{{ mName }} · Marginal value & assumptions · {{ mYear }}
01 Where the marginal value is
Sensitivity of optimised revenue to the plant's physical envelope, under each market strategy. The highlighted line is the selected strategy; the dashed marker is {{ mName }}'s current operating point.
Storage discharge duration
{{ storageSens }}
Annual revenue vs. usable storage hours (log). Marker = as-built.
Turbine capacity
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Annual revenue vs. turbine flow capacity (× as-built, log). Marker = as-built.
Plant scale
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Revenue vs. scaling turbine + reservoir together (× as-built, fixed inflow). Saturates when the plant outgrows its water.
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Marginal values & binding constraints
as-built · {{ selLabel }}
Reading marginal (shadow) prices
A marginal (shadow) price is the extra revenue the optimiser would earn from one more unit of a scarce resource — an MWh of stored water, +1 MW of turbine, +1 MWh of storage, or +1 MW of reserve-cap headroom — holding everything else fixed.
A value near zero means that limit isn't binding: loosening it wouldn't help, so don't invest there. A large value flags the binding bottleneck — where a relaxed limit or an upgrade would pay back, and roughly how much it is worth per year. They answer: what is holding this plant back, and what is it worth to change it? (Values are for the selected strategy at the as-built size.)
Recommendations
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Generated with AI assistance · subject to expert review before use.
Simulation setup & assumptions
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Perfect-foresight optimisation · results are deterministic from the assumptions above · future prices and inflow are uncertain.
Full interactive simulation → hydroscope-optmz.keldakraft.com
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