「建物ストックの炭素ピークに向けた屋根置き太陽光ポテンシャルと炭素オフセット：中国・青島市の建物別評価」の再現パッケージと派生データ

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:建物単位のPVポテンシャル評価と炭素ピーク結合の再現可能な手法・データパッケージとして参照価値が高い。

🏢実務担当者:都市・不動産ポートフォリオでの屋根置きPV導入可能性評価や再開発計画の基礎データとして活用できる。

🏛政策担当者:自治体の太陽光導入計画や建物ストック脱炭素政策の定量根拠として、再現可能な評価枠組みを提供する。

Overview. This deposit contains the documentation, supplementary tables and reproduction package supporting the manuscript "Rooftop photovoltaic potential and carbon offsets for building-stock carbon peaking: A building-by-building assessment of Qingdao, China" (submitted to Renewable Energy). The study assesses rooftop photovoltaic (PV) potential for 2,229,005 height-attributed buildings in Qingdao (534.3 km² of roof footprint) and couples the resulting hourly generation to a building-stock turnover carbon-peaking model. Contents (104 files, 5.6 MB). The archive is organised in seven numbered groups. – Root (7 files) — SI1_Supplementary_Documentation.pdf and 00_Supplementary_Material_Index.md give the packaging map, the recomputation specification for the 168-row hourly absorption matrix (SI-B), the data dictionary, host-model input notes and script notes; also included are the SI label mapping, the package README, an upload note and restore_script_inputs.py. – 01_Supplementary_A_Methods (1 file) — SI-A: model equations and parameterisation. – 02_Supplementary_B_Hourly_Matrix (3 files) — the 168-row SI-B absorption and avoided-emission matrix (3 scenarios × 7 load shapes × 8 absorption settings), its recomputation specification and stage35_si_b_168.py. – 03_Supplementary_C_Coupling_Scenarios (5 files) — SI-C1 coupling sensitivity grid (216 rows), SI-C4 annual trajectories 2015–2050 and peaking summaries, SI-C5 carbon-factor and host-baseline sensitivity. – 04_Supplementary_D_Code_and_Data (68 files) — Code_and_Metadata/ (24 files: citywide summary, historical distributed-PV capacity model, host-model inputs, hourly NASA POWER inputs for three representative points, the citywide hourly generation series 2023–2025, the machine-readable manifest, the OpenStreetMap ingestion path and a requirements lock); Reproduction_Package/ (39 files: 24 script files under scripts/, of which 22 are numbered stage scripts covering the chain from building footprints to available roof area, installed capacity, hourly generation, integration correction and carbon-peaking coupling, plus the OSM deviation pathway, reference_pipeline.py, the verification scripts, data dictionaries, a de-identified per-building scalar table for the Shibei District pilot (42,259 buildings) and a 200-building synthetic validation set); SI-D1 district-level capacity and shaded generation; SI-D5 OSM-vs-AI footprint deviation. – 05_Supplementary_E_Validation (6 files) — SI-E1 stratified footprint-match sample, SI-E2 match summary, SI-E3 Sobol indices with convergence series (D = 10) and the 216-row structural scenarios, SI-E4 output distribution from N = 1024 Saltelli sampling (12,288 evaluations), and the validation note. – 07_Figure_S1_Block_Shading_Validation (3 files) — Figure S1, the block-scale validation of the 12-sector solar-trajectory shading method against a 300 m raster DSM, with its per-building and summary tables. – 08_Raw_Data_and_Sensitivity_Tests (11 files) — height-error propagation (7 tables), load-shape sensitivity, LCOE screening and storage/weather-year sensitivity. Reproducibility. The scripts read only the bundled inputs; no proprietary geometry and no environment variables are required. Verification entry points: verify_bundled_inputs.py (7 checks), verify_si_b.py (11 checks) and reference_pipeline.py --validate (13 checks). Recomputation of the 168-row SI-B matrix from the shipped inputs reproduces the shipped curtailment rates to within 0.1 percentage point on average (162 of 168 rows identical cell by cell; maximum deviation of deliverable energy 10.9 GWh, ≤ 0.03%). Restrictions. The complete building geometry (2,229,005 footprints with heights) is not included: it originates from a licensed commercial remote-sensing product that permits publication of aggregate results but prohibits redistribution of the raw geometry. It is available only under a signed agreement (tier L3 of the data-availability statement in the manuscript). An open-source alternative pathway (OpenStreetMap + NASA POWER) is provided so that the method chain can be reproduced in any city. Licence and reuse. Documentation and derived data: CC BY 4.0. Code: MIT licence, with the full reproduction package included in this deposit under 04_Supplementary_D_Code_and_Data/. Please cite this deposit and the associated article.

• Zenodo https://zenodo.org/records/23969920first seen 2026-11-06 04:13:06