RELIABILITY LABGrid & resource adequacy · research preview
ANVAYA LABS · RESOURCE ADEQUACY
Stress the grid before the grid is stressed.
Build a generation portfolio, replay weather and equipment uncertainty, dispatch storage chronologically,
and see exactly when supply becomes inadequate — with an executive verdict and engineer-grade diagnostics.
ComputeBrowser local
Resolution8,760 hourly intervals / year
ModelSingle-area adequacy screen
EvidenceCalculated + modelled outputs
01 · STARTING POINT
Choose a system story
Preset values are illustrative and fully editable.
01 · BUILD THE SYSTEM
System configuration
RESOURCE PORTFOLIO
— GW entered
G
Gas / firm thermal
92% availability · heat sensitive
GW
☀
Solar PV
Weather-linked hourly profile
GW
W
Wind
Weather-linked hourly profile
GW
N
Other firm / nuclear
96% availability
GW
H
Hydro / dispatchable
Seasonal energy-limited profile
GW
↔
Firm imports
Transfer-limited · stress derate
GW
B
Battery storage
4 h duration · 88% round trip
GW
DR
Demand response
2 h/day dispatch budget
GW
Transparent simplification. Dispatchable outages use stochastic availability draws; solar and wind use synthetic correlated profiles;
storage charges from surplus and discharges into deficits. This is a screening model, not production-cost or AC power-flow software.
5 weather years × 20 outage draws = 100 case-years
02 · RELIABILITY REPORT
Saudi 2035 · Balanced Transition
Modelled
Ready to simulate
Inputs ready
LOLECalculated
—days/yr
Expected shortfall-days
LOLHCalculated
—h/yr
Expected shortfall-hours
EUECalculated
—GWh/yr
Expected unserved energy
Annual riskCalculated
—%
Case-years with ≥1 shortfall
Portfolio not yet stress-tested Run the study to compare expected reliability with the selected target.
Awaiting run
Anvaya interpretation
AI-style insight
Once the simulation is complete, this layer converts technical adequacy outputs into an executive explanation: what is driving risk, when it occurs, and the most useful next scenario to test.
Hourly risk landscape
Probability of firm-energy shortfall by month and hour.
Run the study to reveal the timing of risk.
Stress signature
Conditions present during shortfall hours. Diagnostic, not causal attribution.
Modelled
Stress patterns will appear after a run.
Most severe simulated day
Hourly demand, available supply and unserved-energy gap.
Calculated
No severe event available yet.
Portfolio balance
Nameplate composition versus modeled firm contribution at peak-risk hours.
Severe event explorer
Top contiguous shortfall episodes, ranked by unserved energy.
Calculated
Case
Start
Duration
Peak gap
Unserved
Run a study to reveal severe events.
Common-seed comparison
Movement versus your previous completed portfolio.
Complete two runs to compare decisions.
Scope. Educational single-area resource-adequacy screening. The model does not represent transmission constraints, unit commitment,
reserve co-optimization, fuel networks, dynamic stability, distribution outages, restoration, or N-1/N-2 security. All Saudi scenario values in this demo are illustrative,
not forecasts or official planning assumptions.
