OS-9 Simulation and AI Technologies for Refrigeration, Air-conditioning and Heat Pumps

Organizer
YAMAGUCHI, Seiichi (Waseda Univ.), NONAKA, Masayuki (Hitachi Global Life Solutions, Inc.), TAIRA, Shigeharu (Daikin Industries, Ltd.), HIGASHIIUE, Shinya (Mitsubishi Electric Corp.)

2026/09/04 (Day 3 ), Room E

OS-9 Simulation and AI Technologies for Refrigeration, Air-conditioning and Heat Pumps 1 09:00 〜 10:40

Development of a digital twin simulator toward thermal energy management system in retail stores

◎ SHINOHARA Kanta (WASEDA Univ.), TANAKA Chitose, SAITO Kiyoshi

Dynamic Performance Evaluation of Air Conditioners Using a Variable Thermal Environment Model Room and Coupled Simulation of Air Conditioners and Buildings

SHIROMIZU Kiri (WASEDA Univ.), KARIYA Taiyou, ◯ TANAKA Chitose, SAITO Kiyoshi

Development of an EnergyPlus-Coupled Testing Facility for Air Conditioning Field-test in the Laboratory

◎ FIRDAUS H Nazwan (Waseda Univ.), SHOLAHUDIN Sholahudin (University of Indonesia), CHIENCHIEH Lin (Waseda Univ.), DONDINI Damiano, GIANNETTI Niccolo, SAITO Kiyoshi

A Building-Information-Independent Method for HVAC Thermal Load Estimation and Prediction Using Equivalent Thermal Disturbance

◎ KOIDE Tatsuya (GENERAL LABORATORIES LIMITED), MORI Hayato, KIMOTO Yuto, TAKEUCHI Yuga

Demand Response of an Individual Air-Conditioning System Based on Model Predictive Control
Potential Evaluation of Demand Response on Expected Activation Days

◎ MAYUMI Ryuto (Osaka Metropolitan University), NISHIKAWA Reona, WAKUI Tetsuya

2026/09/04 (Day 3 ), Room E

OS-9 Simulation and AI Technologies for Refrigeration, Air-conditioning and Heat Pumps 2 11:00 〜 12:20

Demonstration of Thermal Comfort Maintenance and Energy-Saving Effects of Local Air Conditioning Using Coaxial Mist in a Casting Factory

◯ ICHIYANAGI Wataru (TOYOTA INDUSTRIES CORPORATION), OHARA Taku, YAMAMOTO Takanori (TOYOTA CENTRAL R&D LABS., INC.), YAMAUCHI Takafumi, HASHIMOTO Shunsuke, YOGO Yasuhiro

Simultaneous Thermal Comfort Maintenance and Energy Saving by Local Air Conditioning Superimposed with Evaporative Cooling in Extremely Hot Factories

◯ YAMAMOTO Takanori (TOYOTA CENTRAL R&D LABS., INC.), YAMAUCHI Takafumi, HASHIMOTO Shunsuke, YOGO Yasuhiro, ICHIYANAGI Wataru (TOYOTA INDUSTRIES CORPORATION), OHARA Taku

Estimation of Occupants' Latent Discomfort Based on Setpoint Temperature Adjustment Behavior Using a State-Space Model

OKAHANA Haruto (Shiga Univ.), MURASE Ryota, ◯ MATSUSHIMA Hiroyasu, IMAI Takashi, KATO Kei (Panasonic HVAC & CC CO., Ltd.), ONOUE Saya, TANNO Yuka, HAYASHIDA Gaku, KAWAMOTO Kaoru (Shiga Univ.)

Achieving Both Energy Efficiency and Thermal Comfort with Cold-Climate Air Conditioners
(Report 6)Effect of Weather Conditions in Cold Regions on the Heating Performance of Air Conditioners

◎ MATSUMOTO Taichi (Hokkadio University), WANG Jinru, LIU Hongzhi, WAKABAYASHI Hitoshi, LEE Sangil, NAGANO Katsunori, LEE Sangmu (Samsung R&D Institute Japan Co)

2026/09/04 (Day 3 ), Room E

OS-9 Simulation and AI Technologies for Refrigeration, Air-conditioning and Heat Pumps 3 13:20 〜 14:40

Proposal of a Fault Diagnosis Method for Commercial Air Conditioning Systems Using an FTA-Integrated Large Language Model and Specific-Fault-Detection AI

◎ TAKADA Ryo (GENERAL Laboratories Inc.), KOZONO Rinto, ZHANG Xinyue, MORI Hayato, SHIGIHARA Go (GENERAL Inc.), TOYA Kotarou, OISHI Tsuyoshi, MOROOKA Masaya

A Study on a Failure Diagnosis Method Based on the Operating State of an Outdoor Heat Exchanger in Simultaneous Heating and Cooling Multi Systems

◎ TANABE Yusuke (Daikin Industries), TOMINAGA Jun (Daikin Comfort Technologies North America, Inc.), INOUE Hiroyuki (Daikin Industries), KURODA Kohei

AI-Based Vibration Feature Analysis and Embedded Fault Diagnosis for Air Conditioning Systems

◯ QIU Kui-Yuan (TSHRAE), SUNG Min-Feng (Ming Chi University of Technology), CHANG Wei-Hsuan (National Chin-Yi University of Technology), KUAN Yean-Der (TSHRAE), LIN Yi-Ting (National Chin-Yi University of Technology)

Research on zone air conditioning systems for factories using air curtains
Optimization study of cold air containment effect using machine learning

◯ NAKAYAMA Hiroshi (Chubu Electric Power), HIROTA Masafumi (AICHI INSTITUTE OF TECHNOLOGY)

2026/09/04 (Day 3 ), Room E

OS-9 Simulation and AI Technologies for Refrigeration, Air-conditioning and Heat Pumps 4 15:00 〜 16:00

Study on a Data-Driven Approach for Optimal Heat Exchanger Design

◯ YOSHIDA Atsushi (Panasonic), KANESHI Masataka, SATO Ken, SHIRAI Eiichi

Advanced AMR Simulation Using Self-Adaptive Physics-Informed Neural Networks
Optimization Search of Design Parameters via Autonomous Thermal-Fluid Simulator

◎ MASARU Mitamura (UF)

REAL-TIME PREDICTION OF ICE–WATER PHASE-CHANGE INTERFACE DYNAMICS USING TEMPORAL SIGNED DISTANCE FUNCTION-BASED DEEP LEARNING

◎ YANG Qingyu (Beijing Institute of Technology), YANG Tao, LI Yongliang, JIN Zhixu, ZHANG Wenqiang, YANG Yingying (University of Shanghai for Science and Technology), SHEN Jun (Beijing Institute of Technology)