{"id":22468345,"url":"https://github.com/pollination/appendix-g-performance","last_synced_at":"2025-03-27T15:44:36.448Z","repository":{"id":65781405,"uuid":"599619394","full_name":"pollination/appendix-g-performance","owner":"pollination","description":"Run an ASHRAE 90.1 Appendix G simulation and compute the Performance Cost Index (PCI) as well as LEED energy points.","archived":false,"fork":false,"pushed_at":"2023-12-12T21:02:25.000Z","size":18,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-04-26T18:22:27.950Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pollination.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-02-09T14:26:29.000Z","updated_at":"2023-02-09T16:46:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"c43a0fe0-526b-4517-b2b5-e900b95b93be","html_url":"https://github.com/pollination/appendix-g-performance","commit_stats":{"total_commits":11,"total_committers":2,"mean_commits":5.5,"dds":0.09090909090909094,"last_synced_commit":"fe7fc0f09b99460757b8a4932bf9e1e7e3ba0f17"},"previous_names":[],"tags_count":10,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pollination%2Fappendix-g-performance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pollination%2Fappendix-g-performance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pollination%2Fappendix-g-performance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pollination%2Fappendix-g-performance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pollination","download_url":"https://codeload.github.com/pollination/appendix-g-performance/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245874050,"owners_count":20686694,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-06T11:16:24.852Z","updated_at":"2025-03-27T15:44:36.402Z","avatar_url":"https://github.com/pollination.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Appendix G Performance\n\nThis recipe generates a baseline Honeybee Model from the input Model, which is\nconsistent with ASHRAE 90.1 Appendix G 2016 (and later), This includes adjusting\nthe geometry, constructions, lighting, HVAC, SHW, and removing any clearly-defined\nenergy conservation measures like daylight controls.\n\nNote that all schedules are essentially unchanged in the baseline model, meaning\nthat additional post-processing of setpoints may be necessary to account for\nenergy conservation strategies like expanded comfort ranges, ceiling fans, and\npersonal thermal comfort devices. It may also be necessary to adjust hot water\nloads loads in cases where low-flow fixtures are implemented.\n\nAfter the creation of the baseline model, this recipe will simulate it in\nEnergyPlus, performing 4 separate simulations in parallel for each of the 4\ncardinal directions per the Appendix G specification. Alongside these baseline\nsimulations, the input Model will be simulated to get the energy performance\nof the proposed building. At the end, all energy use results will be\npost-processed along with the energy costs inputs to estimate the Appendix G\nPCI. An additional computation will also be run to estimate the number of\nLEED \"Optimize Energy Performance\" points for LEED v4.\n\nThe recipe outputs a file called `appendix_g_summary.json`, which contains the PCI\nimprovement for the latest versions of ASHRAE 90.1 in the format below:\n\n```json\n{\n    \"proposed_eui\": 112.866,\n    \"proposed_energy\": 3517144.444,\n    \"proposed_cost\": 703428.89,\n    \"baseline_eui\": 235.3,\n    \"baseline_energy\": 7332474.306,\n    \"baseline_cost\": 1214797.19,\n    \"pci_t_2016\": 0.666,\n    \"pci_t_2019\": 0.591,\n    \"pci_t_2022\": 0.574,\n    \"pci\": 0.579,\n    \"pci_improvement_2016\": 13.055,\n    \"pci_improvement_2019\": 2.0219,\n    \"pci_improvement_2022\": -0.880\n}\n```\n\nThe recipe also outputs a file called `leed_summary.json`, which contains the\nASHRAE 90.1-2016 PCI for both cost and carbon (GHG) emissions in the format below:\n\n```json\n{\n  \"proposed_eui\": 112.866,\n  \"proposed_cost\": 703428.89,\n  \"proposed_carbon\": 464263.067,\n  \"baseline_eui\": 235.3,\n  \"baseline_cost\": 1214797.19,\n  \"baseline_carbon\": 1577657.766,\n  \"pci\": 0.579,\n  \"pci_target\": 0.666,\n  \"pci_improvement\": 13.055,\n  \"carbon\": 0.294,\n  \"carbon_target\": 0.633,\n  \"carbon_improvement\": 53.511,\n  \"leed_points\": 9\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpollination%2Fappendix-g-performance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpollination%2Fappendix-g-performance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpollination%2Fappendix-g-performance/lists"}