Nonlinear data reconciliation in material flow analysis with software STAN
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 pa...
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| Format: | Article |
| Language: | English |
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BMC
2016-11-01
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| Series: | Sustainable Environment Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S246820391630053X |
| _version_ | 1819204914839027712 |
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| author | Oliver Cencic |
| author_facet | Oliver Cencic |
| author_sort | Oliver Cencic |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T04:43:23Z |
| format | Article |
| id | doaj.art-f4cb5e41a00048bf8ec179c42613d91b |
| institution | Directory Open Access Journal |
| issn | 2468-2039 |
| language | English |
| last_indexed | 2024-12-23T04:43:23Z |
| publishDate | 2016-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Sustainable Environment Research |
| spelling | doaj.art-f4cb5e41a00048bf8ec179c42613d91b2022-12-21T17:59:43ZengBMCSustainable Environment Research2468-20392016-11-0126629129810.1016/j.serj.2016.06.002Nonlinear data reconciliation in material flow analysis with software STANOliver CencicSTAN 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.http://www.sciencedirect.com/science/article/pii/S246820391630053XMaterial flow analysisSTANNonlinear data reconciliationError propagation |
| spellingShingle | Oliver Cencic Nonlinear data reconciliation in material flow analysis with software STAN Sustainable Environment Research Material flow analysis STAN Nonlinear data reconciliation Error propagation |
| title | Nonlinear data reconciliation in material flow analysis with software STAN |
| title_full | Nonlinear data reconciliation in material flow analysis with software STAN |
| title_fullStr | Nonlinear data reconciliation in material flow analysis with software STAN |
| title_full_unstemmed | Nonlinear data reconciliation in material flow analysis with software STAN |
| title_short | Nonlinear data reconciliation in material flow analysis with software STAN |
| title_sort | nonlinear data reconciliation in material flow analysis with software stan |
| topic | Material flow analysis STAN Nonlinear data reconciliation Error propagation |
| url | http://www.sciencedirect.com/science/article/pii/S246820391630053X |
| work_keys_str_mv | AT olivercencic nonlineardatareconciliationinmaterialflowanalysiswithsoftwarestan |