下水処理脱炭素化と施設優先順位付けのための電力節約と一酸化二窒素排出のトレードオフに関するデータとコード
Data and code for Tradeoffs between electricity savings and nitrous oxide emissions for wastewater decarbonization and facility prioritization (原題)
Tao, Qiangqiang
🤖 gxceed AI 要約
日本語
下水処理施設における電力節約と一酸化二窒素（N2O）排出増加のトレードオフを定量化する公開データと再現可能なPythonワークフローを提供。世界56,800施設、欧州17,256件、実測データを持つ2,246施設を対象に、排出オフセット閾値や炭素・水文脈目標下での施設ポートフォリオ比較を再現する。
English
This repository provides public datasets and reproducible Python workflows to evaluate electricity–nitrous oxide (N2O) tradeoffs and facility prioritization in wastewater treatment. It covers 56,800 global facilities, 17,256 European records, and an engineering cohort of 2,246 facilities, reproducing emission-offset thresholds, carbon balances, and constrained facility selection.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
下水処理は日本の地方自治体や水インフラ企業にとって脱炭素化の重要領域であり、電力消費削減とN2O排出のトレードオフ評価は、カーボンニュートラル計画や施設更新の優先順位付けに直接活用できる。SSBJや有報でのスコープ1・2排出管理にも関連する。
In the global GX context
This work supports global efforts to decarbonize the water sector, aligning with TCFD/ISSB disclosure of Scope 1 and 2 emissions and transition finance for infrastructure. It offers a replicable framework for prioritizing facility-level investments under carbon and water constraints, relevant to CSRD reporting and climate risk assessment.
👥 読者別の含意
🔬研究者:下水処理のGHG収支評価や施設優先順位付けの再現可能な手法とデータセットを提供する。
🏢実務担当者:下水処理施設の脱炭素投資判断において、電力節約とN2O排出のトレードオフを定量的に評価できる。
🏛政策担当者:水インフラの脱炭素政策や施設更新計画の優先順位付けに、科学的根拠に基づく指標を提供する。
📄 Abstract（原文）
This repository provides public-source datasets and reproducible Python workflows for evaluating electricity–nitrous oxide tradeoffs and facility prioritization in wastewater treatment. The analyses quantify the nitrous oxide emission increment that offsets a specified electricity saving and compare facility portfolios under carbon and water-context objectives. The data cover 56,800 eligible facilities globally, 17,256 linked European records, and an engineering cohort of 2,246 facilities in 13 countries with measured annual wastewater volumes and pollutant loads. The archive includes source snapshots and extracts from HydroWASTE, the European Environment Agency, Ember and WRI Aqueduct, together with a published compilation of nitrous oxide observations. It provides integrated input tables, analysis and figure-generating scripts, numerical reference outputs, a data dictionary, table and figure indexes, and source attribution. The workflows support both analysis from the supplied integrated inputs and reconstruction from the included public-source extracts. They reproduce emission-offset thresholds, portfolio carbon balances, constrained facility selection, sensitivity analyses, and the main and supplementary figures. Installation instructions, pinned dependencies and reproduction commands are provided in README.md. This release is version 1.1.1. Original Python code is licensed under the MIT License. Original documentation and the authors’ original contributions to derived research data are licensed under Creative Commons Attribution 4.0 International. Third-party materials retain their original licenses and attribution requirements, as detailed in License.md and Third_party_notices.md. Please cite this repository and the relevant original datasets when reusing these materials.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/22734849first seen 2026-09-14 04:11:37 · last seen 2026-09-21 04:14:35
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