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持続可能な建築用途のためのAI支援PCM熱パネルの概念設計

Conceptual Design of an AI-Assisted PCM Thermal Panel for Sustainable Building Applications. (原題)

Johnson, Jewel, C S, Krishnapriya, D T, Raniya, P V, Asna, V, Niranjana

Zenodoプレプリント2026-08-21#省エネ経営インパクト: コスト削減対象セクター: construction
DOI: 10.64823/ijter.2621003
原典: https://zenodo.org/records/22049589
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🤖 gxceed AI 要約

日本語

本論文は、建物の冷暖房需要増加に対応するため、AI支援型PCM（相変化材料）熱パネルの概念設計を提案する。PCMの蓄熱・放熱特性とAI制御を組み合わせ、室内温度を安定させ、HVACシステムへの依存を低減する。これにより、エネルギー消費と二酸化炭素排出量の削減が期待される。

English

This paper proposes a conceptual design of an AI-assisted Phase Change Material (PCM) thermal panel for buildings. The system integrates encapsulated PCMs with sensors and AI control to stabilize indoor temperatures, reducing reliance on HVAC systems. Expected benefits include improved energy efficiency, lower electricity consumption, and reduced carbon emissions.

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

日本の建築分野では、ZEH・ZEB基準の強化や省エネ法改正により、建築物の熱性能向上が急務となっている。本提案はAIとPCMを組み合わせた新たな省エネ技術であり、日本のスマートビル・脱炭素政策に寄与する可能性がある。

In the global GX context

Globally, building energy efficiency is critical for climate goals, with initiatives like the EU's Energy Performance of Buildings Directive and net-zero targets. This AI-PCM concept offers a novel approach to reducing HVAC energy use, aligning with global efforts to decarbonize the building sector.

👥 読者別の含意

🔬研究者:AIとPCMを組み合わせた建築熱管理の概念設計の参考になる。

🏢実務担当者:建物の省エネ改修や新築設計に応用可能な技術コンセプト。

🏛政策担当者:建築物の省エネ基準強化や脱炭素政策の技術的選択肢として検討可能。

📄 Abstract（原文）

Preservation copy of an article published in International Journal of Technology and Emerging Research . Read the full article: https://ioro.org/ijter/article/035682234012/035682234012 . The increasing demand for heating and cooling in buildings, driven by rapid urbanization and climate change, has led to higher energy consumption and carbon emissions. Improving thermal energy efficiency has therefore become an important objective in sustainable building design. This paper proposes the conceptual design of an Artificial Intelligence (AI)-assisted Phase Change Material (PCM) thermal panel for residential and commercial buildings. The proposed system combines encapsulated PCMs with embedded temperature sensors and an AI-assisted control framework to improve indoor thermal regulation. During periods of high temperature, the PCM absorbs and stores excess heat, while during cooler conditions it releases the stored heat, thereby maintaining a more stable indoor temperature and reducing dependence on conventional heating, ventilation, and air-conditioning (HVAC) systems. The AI component continuously analyzes environmental parameters such as indoor and outdoor temperature, humidity, occupancy, and weather conditions to support intelligent thermal management and optimize panel operation under different climatic conditions. This paper presents the conceptual architecture, operating principle, and expected performance of the proposed system based on existing research in PCM technology and AI-assisted energy management. The proposed design is expected to enhance thermal comfort, improve building energy efficiency, reduce electricity consumption and carbon emissions, and support the development of sustainable and smart building infrastructure.

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