| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8862994 | Sustainable Environment Research | 2016 | 8 Pages |
Abstract
STAN is a freely available software that supports Material/Substance Flow Analysis (MFA/SFA) under the consideration of data uncertainties. It is capable of performing nonlinear data reconciliation based on the conventional weighted least-squares minimization approach, and error propagation. This paper summarizes the mathematical foundation of the calculation algorithm implemented in STAN and demonstrates its use on a hypothetical example from MFA.
Related Topics
Life Sciences
Environmental Science
Environmental Engineering
Authors
Oliver Cencic,