Techno-economic parametric study of a low-temperature district heating network coupled with underground mine thermal energy storage
地下鉱山熱貯蔵と連携した低温地域暖房ネットワークの技術経済的パラメータ研究 (AI 翻訳)
Ransy, Frédéric, Cendoya, Aitor, Gresse, Pierre-Henri
🤖 gxceed AI 要約
日本語
本研究はベルギーのマルテランジュにおける低温地域暖房システムと地下鉱山熱貯蔵（UTES）の連携に関する技術経済分析を実施。動的シミュレーションにより、貯蔵容量、コスト、PV容量、バッテリーサイズがCOPやエネルギーコストに与える影響を評価。適切な貯蔵規模と投資バランスが経済的に最適であることを示した。
English
This study conducts a techno-economic analysis of a low-temperature district heating system coupled with underground mine thermal energy storage (UTES) in Martelange, Belgium. Dynamic simulations evaluate the impact of storage volume, PV capacity, and battery size on COP and cost of energy. Results indicate that moderate storage sizes with balanced investment achieve optimal economic viability for renewable heating.
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
日本では地下鉱山熱貯蔵の事例は限られるが、地中熱利用や季節間蓄熱の技術は、住宅・業務部門の脱炭素化において重要。本研究成果は、日本における地域熱供給システムの設計や補助金政策の基礎資料となり得る。
In the global GX context
This paper provides empirical techno-economic insights on integrating underground thermal storage with district heating, relevant to the global push for decarbonizing heating. It offers design guidance for optimizing storage size and renewable integration, which can inform policy and investment decisions in regions with similar geological conditions.
👥 読者別の含意
🔬研究者:Provides a validated dynamic simulation framework for thermal storage coupled heating systems, useful for further optimization studies.
🏢実務担当者:Offers quantitative trade-offs between storage size, PV capacity, and cost for district heating planners and energy consultants.
🏛政策担当者:Highlights the economic viability thresholds for renewable heating with thermal storage, supporting subsidy and regulatory design.
📄 Abstract（原文）
This study presents a techno-economic analysis of a low-temperature district heating system coupled with underground mine thermal energy storage (UTES) in Martelange, Belgium. The system integrates photovoltaic panels, a geothermal heat pump, and a large water-filled mine reservoir to store seasonal thermal energy. Dynamic simulations in Modelica evaluate the impact of storage volume, storage cost, PV capacity, and battery size on key performance indicators such as COP, seasonal COP, self-consumption, self-sufficiency, storage efficiency, and cost of energy (COE). Results show that larger storage volumes increase renewable energy self-consumption but reduce seasonal performance due to higher thermal losses. Economically, storage investment cost dominates COE, while increasing PV or battery capacity improves self-sufficiency but does not always reduce costs. The analysis highlights a trade-off between flexibility, energy autonomy, and cost, demonstrating that intermediate storage sizes with moderate investment achieve the optimal balance for efficient and economically viable renewable heating systems.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21296171first seen 2026-07-12 04:15:28 · last seen 2026-07-12 04:17:07
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