Annual Dynamic Assessment of Transpired Solar Collectors Integrated with PVT–ST Systems for Industrial Heating Decarbonization
産業用暖房の脱炭素化のための太陽熱集熱器とPVT-STシステムを統合した年間動的評価 (AI 翻訳)
Soroush Entezari, Mikhail Sorin
🤖 gxceed AI 要約
日本語
寒冷地の産業用暖房の脱炭素化を目指し、通気型太陽熱集熱器（TSC）とPVT-STシステムを統合した動的モデリングフレームワークを提案。CFDとデータ駆動型クラスタリングを組み合わせ、年間過渡性能を評価。カナダの冬季条件下で、TSCは50～60%の安定した熱効率を示し、年間229.7 MWhの熱エネルギーを供給可能。
English
This study introduces a multi-scale dynamic modeling framework for industrial heating decarbonization in cold climates, integrating transpired solar collectors (TSC) with PVT-ST systems. Using CFD and data-driven clustering, it evaluates annual transient performance. Results show TSC thermal efficiency of 50-60% and annual thermal output of 229.7 MWh under Canadian winter conditions, highlighting the need for thermal energy storage integration.
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
本論文は寒冷地での産業用熱需要の脱炭素化に焦点を当てており、日本においても冬季の暖房需要や産業プロセス熱のグリーン化に応用可能な知見を提供する。ただし、日本の気候やエネルギー事情に直接対応するものではなく、システム設計の参考として位置づけられる。
In the global GX context
This paper provides a dynamic modeling framework for decarbonizing industrial heating in cold climates, relevant to global efforts in renewable thermal energy integration. While not directly tied to specific disclosure frameworks, it offers empirical data and methodologies for designing solar thermal systems, contributing to the broader energy transition.
👥 読者別の含意
🔬研究者:Provides a validated multi-scale modeling approach for solar thermal system performance, useful for further research on industrial decarbonization.
🏢実務担当者:Offers design insights and performance benchmarks for integrating transpired solar collectors with PVT-ST systems in industrial heating.
🏛政策担当者:Supports evidence-based policy for promoting renewable thermal energy in industrial sectors, especially in cold climates.
📄 Abstract（原文）
Decarbonizing industrial heating in cold climates remains challenging due to high thermal demand and strong seasonal variability. While the existing literature predominantly relies on steady-state or isolated component analyses, this study introduces a novel, multi-scale dynamic modeling framework. This framework evaluates the annual transient performance of an integrated renewable architecture. The proposed system couples a building-envelope Transpired Solar Collector (TSC) with a series-connected Photovoltaic Thermal/Solar Thermal (PVT-ST) array. Computational Fluid Dynamics (CFD) is employed to resolve the localized convective heat transfer within the TSC. Subsequently, a data-driven clustering methodology scales these transient results into a comprehensive annual system-level simulation featuring sensible Thermal Energy Storage (TES). The results demonstrate robust performance under Canadian winter conditions. The TSC maintains stable thermal efficiencies between 50% and 60%, peaking at over 64%. Annually, the integrated dual-source system delivers 229.7 MWh of useful thermal energy to offset primary fossil fuel consumption. Furthermore, the analysis identifies 128.76 MWh of seasonal surplus capacity. This underscores the critical necessity of dynamic TES integration. Ultimately, this framework establishes a highly defensible, predictive methodology for designing and implementing synergistic solar thermal networks for industrial decarbonization.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/thermo6030059first seen 2026-07-22 06:19:31
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。