Data and code for: Cooling and heating load reduction and economic feasibility of green roofs: A simulation study of five Chinese cities

This record contains the Python programs, model inputs and manuscript assets behind the paper "Cooling and heating load reduction and economic feasibility of green roofs: A simulation study of five Chinese cities"(Qu, Chen and Yu). The study simulates an identical three-storey office building in five Chinese cities (Harbin, Beijing, Shanghai, Guangzhou and Kunming) with EnergyPlus and adds a 30-year incremental life-cycle economic assessment. Contents: three archives and one folder of six result bundles, each unpacking to one top-level directory.code.zip holds the twenty programs for case generation, simulation control,analysis and plotting, with the run order documented in README.txt;inputs.zip holds the weather-file note and the placeholder for the model files; manuscript_assets.zip holds the six figures and eleven tables as they appear in the submitted manuscript; the six bundles under outputs/ hold the analysis results - annual and monthly loads, case parameters, rooftop thermal statistics, the life-cycle economics and the sensitivity scans - together with the EnergyPlus table report and the full eplusout.sql result database of each run and its logs. The per-surface hourly dumps and the plain-text eplusout.eso files were omitted to keep the deposit compact; the SQLite eplusout.sql database, the zone-level hourly series and every table used in the anuscript are retained, so all reported quantities can be reproduced or re-queried. Restoring those two groups would add about 118 MB and take the deposit past the 120 MBupload limit. The EnergyPlus input model files (.idf) are not included: they contain the detailed geometric and construction information of the prototype and form part of an ongoing study; they can be obtained from authors on reasonable request. Requirements: Python 3 with the packages listed in requirements.txt. The simulation stages additionally need EnergyPlus 23.2 and the five CSWD weather files from Climate.OneBuilding.Org, which are not redistributed here.