idaholab / HERON

Holistic Energy Resource Optimization Network (HERON) is a modeling toolset and plugin for RAVEN to accelerate stochastic technoeconomic assessment of the economic viability of various grid-energy system configurations, especially with application to electrical grids and integrated energy systems (IES).
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[TASK] Economic Uncertainty Quantification in HERON #330

Closed GabrielSoto-INL closed 5 months ago

GabrielSoto-INL commented 5 months ago

Issue Description

Is your feature request related to a problem? Please describe. In HERON, inputs for component cashflows (driver, reference_price, reference_driver, scaling_factor_x) can take the shape of a variety of ValuedParams ( e.g., static history or synthetic history, Function, FixedValue). Some cost values, however, have uncertainty associated with their final values and it would be great to capture this uncertainty within HERON analysis.

Describe the solution you'd like A new ValuedParam could be introduced to consider uncertainty within an input. This uncertainty could be quantified by some sort of distribution; the desired input can take the value of a random variable sampled from said distribution. HERON can take advantage of the Monte Carlo sampling technique (already used in the inner loops of the RAVEN-runs-RAVEN workflow) to sample from these cost distributions at the same time as synthetic histories are generated from given TSA ROMs.


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PaulTalbot-INL commented 5 months ago

Approved to close via #331 .