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Blinded reproducibility package — Prospective‑ready operational LCA for a large campus building (IJLCA submission)

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Title Blinded reproducibility package — Prospective‑ready operational LCA for a large campus building (IJLCA submission) Description — What this record contains (blinded reproducibility package) This is an anonymised, review‑stage reproducibility package for our IJLCA submission on a compact, auditable, prospective‑ready operational LCA workflow for a large campus building. It includes: (i) a consolidated Supplementary Information PDF, (ii) high‑precision openLCA exports, and (iii) a minimal Python/Brightway2 meta‑model for uncertainty and sensitivity analysis. The foreground model, scenario levers, and unit factors match the manuscript and Online Resource 1; the SI scope is Tables S0–S3 and S7; Figs. S4–S6. Reported values use GUI unit factors; the optional calibrated‑grid (k_grid) is applied only for the ±0.5 % consistency check. Files ESM_1.pdf — Online Resource 1 (SI): Tables S0–S3 and S7; Figs. S4–S6.S0: scenario matrix; S1: parameter definitions, units, and distributions; S2: official GUI unit factors (AusLCI v1.42; IPCC 2013) and calibration values (consistency‑check only); S3: Monte Carlo settings; S4–S6: openLCA foreground/network and GUI evidence; S7: openLCA vs meta‑model ±0.5 % consistency check. ESM_openLCA_exports_v1.zip — openLCA 2.5 high‑precision Monte‑Carlo exports (per‑scenario mean, σ, P5–P95; n = 2000), plus contribution/summary tables used for Fig. 2/Table 1. Background datasets are not redistributed; dataset names and GUI panels are documented in Online Resource 1 Tables S1–S2 / Figs. S5–S6. ESM_Code_v1.zip — Minimal Python/Brightway2 meta‑model (n = 3000; Common Random Numbers) mirroring the foreground equations and scenario pairs. Defaults to GUI unit factors (grid 0.851/0.445 kg CO₂‑eq·kWh⁻¹; landfill 0.833; compost 0.046). For the consistency check only, toggle the built‑in calibrated‑grid switch to reproduce openLCA means within ±0.5 %; reported values remain on GUI factors. PV handling: subtract‑only baseline (CF_PV = 0) with a side‑by‑side sensitivity at 0.045 kg CO₂‑eq·kWh⁻¹. (See manuscript Methods and Online Resource 1 Tables S1–S3/S7). Methods & scope (concise) Study type: Attributional, prospective‑ready operational LCA. FU: 1 building‑year. Foreground: purchased LV grid electricity; MSW landfill; composting proxy; rooftop PV is subtract‑only in baseline, with a PV‑included sensitivity. Background/LCIA: AusLCI v1.42; IPCC 2013 GWP100. Scenarios (4): {Current grid, Queensland‑2050} × {≈64–66 % diversion, 77 % diversion}. (Online Resource 1, Table S0). Uncertainty/Sensitivity: openLCA MC (n = 2000/scene, independent); Brightway2 meta‑model (n = 3000, CRN); global sensitivity via SRC/SRRC. How to reproduce openLCA route Install openLCA 2.5 + AusLCI v1.42; LCIA: IPCC 2013 GWP100. Recreate the compact foreground (“AEB operation, 1 year”) with LV grid (current vs Queensland‑2050), MSW landfill, compost proxy. Use Online Resource 1, Tables S1–S3 for parameter distributions/MC settings; S4–S6 for GUI/network evidence. Export statistics and compare with ESM_openLCA_exports_v1.zip. Python/Brightway2 route Run the meta‑model to replicate the four scenarios; default = GUI factors. Consistency check only: switch on the calibrated‑grid option (equivalent to applying k_grid,current = 0.895/0.851 and k_grid,2050 = 0.470/0.445) to align meta‑model means with openLCA within ±0.5 % (Online Resource 1, Table S7). PV sensitivity: set CF_PV = 0.045 (baseline is subtract‑only). Licensing & third‑party data This record: CC BY 4.0 (recommended). Third‑party background (AusLCI) is not included; we provide numerical exports and documented dataset names/GUI screenshots (Online Resource 1 Tables S1–S2; Figs. S5–S6). Obtain AusLCI v1.42 under its licence before attempting a full project rebuild. Anonymity & versioning Blinded for peer review; creator names/affiliations and metadata will be added upon acceptance.Version: v1.0 (review stage) — will be superseded by a camera‑ready package linking to the article DOI. How to cite this record Anonymous (2025). Reproducibility package — Prospective‑ready operational LCA for a large campus building (IJLCA submission). Zenodo. DOI: [this record DOI]. Keywords prospective LCA; operational carbon; buildings; openLCA; Brightway2; AusLCI; IPCC 2013; grid decarbonisation; Monte Carlo; sensitivity analysis. Why this is consistent: The SI scope, unit factors (0.851/0.445; landfill 0.833; compost 0.046), calibrated‑grid constants (0.895/0.470), scenario set (S0), and the ±0.5 % consistency check (S7) all match your Online Resource 1 and manuscript Methods/Notes.

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2025-09-02
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