551 to 560 of 138,942 Results
Mar 20, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary data and code for: Replacing natural gas in Norwegian methanol production: A national-scale MILP optimization of a waste-to-methanol supply chain", https://doi.org/10.18710/L8PUQE, DataverseNO, V1
This dataset accompanies the paper "Replacing natural gas in Norwegian methanol production: A national-scale MILP optimization of a waste-to-methanol supply chain". It contains all input data, processing code, optimization results, and supporting documentation needed to reproduce the study in full. The study develops a deterministic mixed-integer l... |
Plain Text - 50.9 KB -
MD5: 6a85e25dd1ef67638eb1b5bc2131b04f
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ZIP Archive - 13.1 MB -
MD5: 6ae98eb7f983da2dc8b74b9cd61cea91
input files for the supply chain model, organised into three subfolders: techno-economic and fuzzy parameter workbooks (S1_MILP_Parameters), municipality-level SSB feedstock statistics for six waste and biomass streams (S2_Feedstock_Data), and geospatial boundary and port registry files for Norway (S3_Geospatial). |
ZIP Archive - 8.6 MB -
MD5: c1e07e4e3fddb66bc993235ce34a31cb
Six sequentially numbered Python scripts implementing the full modelling workflow from raw data to optimisation results, each in its own subfolder with input and output directories and an accompanying code manual. Steps cover supply node construction, port table assembly, road distance matrix computation, cost and emission parameter generation, MIL... |
ZIP Archive - 1.9 MB -
MD5: 2d8f4ba0027bf2340ef368a45193484d
Optimisation outputs generated by the analysis script, comprising 31 publication-quality PNG figures across eight thematic groups and 10 statistics tables (T01–T10) as CSV files, consolidated into a single Excel workbook (MILP_Results_Statistics.xlsx). Covers scenario-level KPIs, module contributions, spatial deployment, port activation, transport... |
ZIP Archive - 61.8 KB -
MD5: 7df354307f7e928dc56130ca12f4485c
Variable dictionary for the full deposit in two formats: a Word narrative document explaining file relationships, conventions, and column definitions, and an Excel lookup table with one row per variable covering column name, plain-language definition, unit, and source script. Together these documents support independent reuse and verification of al... |
HTML - 1.5 MB -
MD5: b0c40d5b002185231e412f130104120b
Interactive Leaflet.js map visualising the optimised waste- and biogenic-derived oil supply chain across all four scenarios. Displays conversion plant markers with module-specific colour coding, active port markers scaled by throughput, WBD-oil flow arcs routed along the Norwegian road network, and electricity and heat demand layers. Open directly... |
Mar 20, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale", https://doi.org/10.18710/NZHGW3, DataverseNO, V2
This dataset supports the paper “A Governance-Aware Systems Thinking Architecture for Sustainability at Scale.” The study addresses a key challenge in large-scale sustainability research: how to ensure transparency, consistency, and auditability when integrating heterogeneous evidence and systems thinking approaches. The paper introduces STAI³RS, a... |
Mar 20, 2026 -
Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale
Plain Text - 13.5 KB -
MD5: d63313ad4952b2c0d83cd23652b927a5
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Mar 20, 2026 -
Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale
MS Excel Spreadsheet - 19.8 KB -
MD5: c716be98d5501b6e9b262c6047353042
Two-sheet workbook documenting the derivation of the eight STAI³RS governance principles from a narrative review of 21 systems thinking traditions. Sheet 1 records four dimensions per tradition: primary purpose, limitations, governance requirements, and governance pattern keywords. Sheet 2 shows how keywords were aggregated across traditions into t... |
