集合住宅における熱貯蔵活用による低炭素暖房の可能性
Potential for using thermal storage in an apartment building to enable low-carbon heating (原題)
Åsa Wahlström, Victor Fransson, Dennis Johansson, Karin Glader, Eva-Lotta Kurkinen, Anders Rönneblad
🤖 gxceed AI 要約
日本語
スウェーデンのコンクリート造集合住宅を対象に、電力供給のCO2強度予測に基づいて暖房出力を能動制御し、建物の熱貯蔵容量を活用する手法を評価した。制御パラメータ（充放電設定値、予測期間、CO2強度変化の閾値）を設計し、実測データで較正したシミュレーションモデルで検証した。10〜24時間先のCO2強度予測を用いることで、室内環境に大きな影響を与えずに暖房由来CO2排出を18%削減できることを示した。
English
This study evaluates using the thermal storage capacity of a Swedish concrete apartment building to shift heating demand based on forecasted CO2 intensity of the energy supply. A control strategy with three parameters (charge/discharge setpoint, forecast horizon, CO2 intensity threshold) was developed and validated with a calibrated simulation model. Results show an 18% reduction in heating-related CO2 emissions without significantly affecting indoor climate, requiring a 10–24 hour CO2 intensity forecast.
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
日本の集合住宅でも同様の熱貯蔵制御が可能であり、再生可能エネルギー比率向上と電力CO2強度の時間変動を踏まえた需要側制御は、カーボンニュートラル政策やZEB普及に寄与しうる。
In the global GX context
This work contributes to global building decarbonization by demonstrating demand-side flexibility using thermal mass, aligning with EU energy transition and grid decarbonization goals. It offers empirical evidence for integrating CO2 intensity forecasts into building control, relevant to TCFD/ISSB building sector disclosures.
👥 読者別の含意
🔬研究者:建物熱貯蔵とCO2強度予測を組み合わせた需要側制御の実証的手法を提供する。
🏢実務担当者:集合住宅の暖房制御にCO2強度予測を組み込むことで、コストを抑えつつ排出削減が可能である。
🏛政策担当者:建物の需要側柔軟性を促進する政策設計に、CO2強度予測の活用と制御基準の整備が有効である。
📄 Abstract（原文）
Abstract Buildings account for a significant proportion of global CO 2 emissions, with heating as a major contributor. The sources of energy for heating vary in their carbon intensity over time. By using the thermal storage capacity of apartment buildings with concrete structures, it is possible to shift the timing of heating demand. This study evaluates how much CO 2 emissions can be saved by actively controlling the building’s heat output based on forecast of future CO 2 intensity in the energy supply. A typical Swedish concrete apartment building equipped with advanced control systems and energy monitoring was used to enabling accurate calibration of the digital energy simulation model. A control strategy was developed based on three parameters: a setpoint for whether heat should be charged or discharged, a forecast horizon indicating how far into the future the CO 2 intensity of the energy supply is considered, and a threshold defining the minimum change in CO 2 intensity required to trigger control actions. The reduction in heating-related CO 2 emissions depends on the variation in the energy supply. The study shows that a building that use electricity, produced in Sweden and imported from other countries, as heating source can reduce heating-related CO 2 emissions by 18 percent without significantly affecting indoor climate by using the thermal storage capacity. Effective control requires a CO 2 intensity forecast 10–24 hours ahead in the energy supply.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/1742-6596/3302/1/012110first seen 2026-09-23 04:58:42
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