Norwegian Waste-to-Methanol Supply Chain Data for MILP Optimization
by Barahmand, Zahir / DataverseNO Harvested Dataverse·Updated 1mo ago
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Description
A 2026 dataset by Zahir Barahmand accompanies a study evaluating domestic waste and biomass for methanol production in Norway. It contains input data, processing code, and results for a deterministic mixed-integer linear programming model covering 356 municipalities, five industrial hubs, and 110 coastal ports. The deposit includes feedstock statistics, geospatial files, techno-economic parameters, Python scripts for optimization, and publication-quality results.
Use Cases
Reproducing a national-scale MILP optimization for waste-to-methanol supply chains based on the provided Python scripts and input data.
Analyzing feedstock allocation and transport routing for 356 Norwegian municipalities based on computed road-network distances.
Comparing techno-economic and emission parameters for six thermochemical conversion modules (e.g., hydrothermal liquefaction, fast pyrolysis) derived from literature.
Visualizing potential conversion plant locations and WBD-oil routing to coastal ports under different cost and emission scenarios.
Strengths
Includes all input data, code, and results needed for full study reproduction, as stated in the description.
Model covers 356 mainland Norwegian municipalities, five industrial hub nodes, and 110 approved coastal ports, providing national-scale detail.
Techno-economic parameters for six conversion modules are documented with full literature traceability in parameter workbooks.
Transport distances are computed using the Open Source Routing Machine with real Norwegian road-network data, capturing geographic constraints.
Limitations
Description metadata is limited; actual data quality, file formats, and specific column definitions require manual inspection after download.
Row count, sample data, and exact file sizes are unknown, which may limit suitability assessment for some applications.
The license for the dataset is unspecified, which could restrict downstream usage.
Provenance
Source
Zahir Barahmand, DataverseNO Harvested Dataverse
Collection Method
Input data includes raw feedstock statistics from Statistics Norway (SSB) and municipality/port geospatial files; techno-economic parameters are derived from peer-reviewed literature.
Freshness
Last updated 2026-04-21 02:26:55; freshness should be verified.
Geography
Mainland Norway
License is unknown; users should verify terms before use. The analysis requires Python and likely specific libraries to run the provided optimization scripts.