赤司研究室 Akashi Laboratory
社会のSustainabilityに貢献する
建築・地域のエネルギーシステムを対象に、省エネ・脱炭素化に資する高効率な運用や再生可能エネルギー活用、健康・快適な熱・空気環境の形成、社会動態やステークホルダーの意思決定に基づく施策効果の定量化などについて、ビックデータや情報技術を活用した研究開発を行っています。
時々刻々に得られる種々のセンシングデータや機械学習等の情報技術を活用して、従来にないエネルギーシステムの高効率な運用を実現します。また、その基盤となる高度なシミュレーションの開発も行っています。


人・環境・システム・空間に関する多様で高解像度なビックデータを動的に計測・処理・活用して、個人の活動シーンにおける健康・快適性向上を目指したデータ駆動型の新たな環境制御と行動変容を開発します。

需給(建物と電力(熱)供給網)と需需(建物と建物)のエネルギー連携を考案し、その効果を定量的に明らかにすることを通じて、再生可能エネルギー活用の新たな道筋を開拓します。


省エネ・脱炭素化には効果的な施策が欠かせません。エネルギー便益だけでなく、それに伴う非エネルギー便益も明らかにする必要があります。施策デザインやオーナー・ユーザー訴求の方法論を明らかにしていきます。


詳細は研究室HP: akashilab.com
研究主宰者:赤司泰義
Upgrade the built environment and energy system of buildings
and Optimize services for human and society
We are conducting research and development using big data and information technology for building and community energy systems, including highly efficient operations that contribute to energy conservation and decarbonization, the use of renewable energy, the creation of healthy and comfortable heat and air environments, and the quantification of the effects of measures based on social dynamics and stakeholder decision-making. We also conduct research and development using big data and information technology.
By utilizing a variety of sensing data obtained from time to time and information technologies such as machine learning, we are able to realize unprecedentedly efficient operation of energy systems. We are also developing advanced simulations that will serve as the basis for this.


By dynamically measuring, processing, and utilizing diverse, high-resolution big data on people, environments, systems, and spaces, we will develop new data-driven environmental controls and behavioral changes aimed at improving health and comfort in individual activity scenes.

By devising energy linkages between supply and demand (buildings and electricity (heat) supply networks), and demand and demand (buildings and buildings), and by quantitatively clarifying the effects of these linkages, we will open up new avenues for the use of renewable energy.


Effective measures are essential for energy conservation and decarbonization. It is necessary to clarify not only the energy benefits but also the non-energy benefits associated with them. We will clarify the methodologies for designing measures and appealing to owners and users.


For more detail: akashilab.com
Principal Investigator: Yasunori Akashi