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networked-geothermal-dynamic-lca: Time-explicit, prospective and dynamic-climate LCA of a networked geothermal energy system versus a gas/oil reference

ネットワーク型地中熱システムの動的LCA：ガス・石油代替との比較における時間明示的・将来予測的・動的気候影響評価 (AI 翻訳)

Ghandi, Mahsa, Burek, Jasmina

Zenodoプレプリント2026-07-17#エネルギー転換Origin: US経営インパクト: コスト削減対象セクター: real_estate
DOI: 10.5281/zenodo.21415688
原典: https://zenodo.org/records/21415688

🤖 gxceed AI 要約

日本語

この論文は、米国マサチューセッツ州のパイロット事業を基に、ネットワーク地中熱システムと従来のガス・石油システムのライフサイクルGHG排出を比較。動的LCAフレームワークを開発し、50年間のタイムラインで評価した結果、地中熱システムはGHG排出を44%削減し、建設時の炭素債務を約2036年に返済することが示された。コードとデータはBSDライセンスで公開。

English

This paper presents a dynamic life-cycle assessment framework comparing a networked geothermal energy system (GEN) to conventional gas/oil (REF) for heating and cooling in a cold climate, based on the Framingham, Massachusetts pilot. Over a 50-year timeline, GEN reduces life-cycle GHG emissions by 44% under dynamic climate LCIA and repays its construction carbon by approximately 2036. The open-source code and derived data support reproducible research.

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

日本のGX文脈では、地中熱利用は再生可能エネルギー熱源として注目されるが、普及にはコストと技術的課題がある。本論文の動的LCA手法は、日本の地域熱供給やゼロエネルギービル（ZEB）の評価に応用可能。SSBJや気候関連開示でのライフサイクル評価の高度化にも示唆を与える。

In the global GX context

This paper contributes a rigorous, time-explicit LCA methodology relevant to global GX discourse, particularly for building decarbonization and district heating. The open-source framework enables reproducibility and can inform TCFD/ISSB scenario analysis by adding temporal dynamics to carbon footprinting. The case study of a US utility pilot provides empirical evidence for geothermal as a viable low-carbon alternative.

👥 読者別の含意

🔬研究者:The dynamic LCA framework and open-source code are valuable for LCA researchers working on prospective and time-dependent methods.

🏢実務担当者:Corporate sustainability teams in real estate or utilities can use the lifecycle GHG reduction figures to support decarbonization planning and investment decisions for heating infrastructure.

🏛政策担当者:The clear carbon payback timeline (~2036) and emission reduction metrics offer evidence for policy support of networked geothermal systems.

📄 Abstract（原文）

Code, public configuration, derived result tables, and publication figures for the manuscript "A prospective and dynamic life-cycle assessment framework for the early-design stage of networked geothermal heating in cold climates" The workflow compares a networked geothermal energy system (GEN) with the conventional distributed gas/oil reference with electric air-conditioning (REF) that it displaces, on an identical delivered-service basis: 89.375 GWh_th of heating, cooling, and domestic hot water to 37 buildings over 50 years, validated on the Framingham, Massachusetts utility pilot. Every life-cycle stage (EN 15978 modules A1–A5, B2–B6, C1–C4) is dated on a calendar (2025–2075), linked to prospective premise/REMIND SSP2 electricity backgrounds (SSP2-PkBudg1000 and SSP2-NPi), and evaluated under three temporal LCIA formulations — conventional static, time-explicit static, and dynamic climate — implemented in the Brightway 2.5 ecosystem (bw_temporalis, bw_timex). The robustness layer includes seven deterministic sensitivity cases (S1–S7) and a 10,000-draw three-method paired Monte Carlo. Headline result: GEN reduces life-cycle GHG emissions by 44%, 28%, and 42% under the three methods and repays its construction carbon by approximately 2036. Reproduction is supported at two tiers. Tier 1: every manuscript figure and table regenerates from the included derived CSV tables (data/derived/) using only Python with pandas, numpy, and matplotlib — no licenses required. Tier 2: the full Brightway pipeline (scripts/b6/) additionally requires a licensed ecoinvent 3.9.1 (cutoff) database and premise-generated backgrounds. Raw Eversource/Framingham case data are confidential and not included; see docs/DATA.md for the complete data-availability statement. Code is released under the BSD 3-Clause License. Development repository: https://github.com/Mahsaghandi1993/networked-geothermal-dynamic-lca This work is supported by the U.S. National Science Foundation under Award No. 2502121 and is shared in accordance with the project's Data Management Plan and the NSF Public Access Policy.

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