Stochastic Technoeconomic Model (STEM)
Abstract: The purpose of the Stochastic Technoeconomic Model is to evaluate the impact of uncertainty in the cost of unit operations on the feedstock logistics cost. The model, which is developed in a spreadsheet using the add-in called @Risk, enables the user to apply Monte Carlo simulation to produce a distribution of feedstock logistics cost. The sensitivity analysis points to how uncertainty in cost drivers impact uncertainty in the feedstock logistics cost distribution. The STEM is a companion model to the BLM (Biomass Logistics Model) as it evaluates cost risk for cases set up to run in the BLM.
General Modeling Type:
Hybrid / other: Statistical (Risk and Uncertainty Analysis)
Primary analytical purpose:
Risk/Financial analysis: Analysis of the risks and financial aspects of technology or feedstock implementation.
Secondary analytical purpose:
Techno-economic analysis: Technical and economic analysis of technologies or systems of technologies.
- Process Productivity (conversion-related, e.g., yield)
- Techno-economic Impact
- Other Socio-economic (e.g., GDP impact, Investment/NPV)
INL - Idaho National Laboratory
Model start year:
Model last updated:
Fully Developed - no new updates planned
Level of validation/review:
Internal QA/QC or Peer Review
- Feedstock Types
- Sugar Crops
- Oil Crops
- Fiber Crops
- Cover Crops and Hay
- Agricultural Residues
- Herbaceous Energy Crops
- Forest Residues
- Forest Resources
- Woody Energy Crops
- Products/Process Outputs
- Other Process Output
Model Map HelpThe below diagram shows models interlinked with the Stochastic Technoeconomic Model (STEM) model. Click on a different model to view the fact sheet for the clicked model.
Information last updated: Sep. 17, 2019 13:45:46 EDT