Life cycle techno-economic analysis and optimization framework of hybrid deep ground source heat pump system for low carbon buildings
低炭素建築物向けハイブリッド深層地中熱源ヒートポンプシステムのライフサイクル技術経済分析と最適化フレームワーク (AI 翻訳)
Wentan Wang, Haoran Cheng, Jiangtao Wen, Xi Wang, Kui Yin, Li Liu, Xin Wang, Yongqiang Luo
🤖 gxceed AI 要約
日本語
本研究は、深層地中熱源ヒートポンプ（GSHP）システムのライフサイクル技術経済分析と最適化フレームワークを開発した。有限差分法と線波源モデルを組み合わせた熱伝達モデルにより、長期の地上温度変化を考慮可能。最適化にはベイズ最適化を使用し、中国西安のハイブリッドシステムに適用。結果、熱減衰や負荷変動が投資回収期間に大きな影響を与えることを示した。
English
This study develops a life-cycle techno-economic analysis and optimization framework for hybrid deep ground source heat pump systems. It couples a heat transfer model with economic evaluation and Bayesian optimization. Applied to a case in Xi'an, China, it shows that thermal attenuation and load uncertainty significantly affect payback periods.
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
日本でも建物の脱炭素化に向けて地中熱ヒートポンプの導入が進んでおり、本フレームワークはシステム設計の最適化に有用。ただし日本の地質条件を考慮した調整が必要。
In the global GX context
This framework contributes to global low-carbon building design by providing a robust optimization method for geothermal systems. It can be adapted to other regions with different geological and economic conditions.
👥 読者別の含意
🔬研究者:Provides a comprehensive modeling and optimization approach for hybrid geothermal systems, useful for further methodological refinement.
🏢実務担当者:Offers a practical tool for designing cost-effective and efficient geothermal systems for buildings.
🏛政策担当者:Highlights the economic viability of geothermal heat pumps, supporting policies for low-carbon heating and cooling.
📄 Abstract（原文）
This study develops a life-cycle techno-economic analysis and optimization framework for hybrid deep ground source heat pump (GSHP) systems, addressing the limitations of existing evaluations that often neglect subsurface thermal attenuation and rely on simplified heat transfer models. A coupled heat transfer model is established by combining the finite difference method for the borehole interior with the segmented finite line-source model for the surrounding ground, enabling long-term simulation of fluid and ground temperature evolution. The energy model is integrated with a life-cycle economic evaluation to calculate net present value, levelized cost of heating/cooling, payback period (PP), and internal rate of return. A Bayesian optimization algorithm is further employed to identify optimal system configurations under multiple objectives. The framework is applied to a hybrid geothermal system in Xi’an, China, incorporating mid-deep boreholes with auxiliary air-source heat pumps or gas boilers. Results show that long-term thermal attenuation significantly affects economic performance, with a 2 °C increase in fluid temperature extending the PP by approximately 0.3 years. User-side load uncertainty also has a substantial impact, as a 10% deviation from the design load can shift the optimal PP by about 2 years. Sensitivity analysis identifies the GSHP installed capacity ratio and borehole number as the most influential parameters. Compared with pure geothermal systems, the hybrid geothermal–gas boiler configuration achieves the shortest PP, demonstrating the framework’s effectiveness for robust low-carbon system design.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.70401/jbde.2026.0041first seen 2026-07-26 05:19:01
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