The University of Tokyo · 공학
Ziyang Wang 교수의 연구실은 건물 내 실시간 열적 쾌적성 평가 및 에너지 효율 최적화를 핵심으로 하며, 특히 변동성이 큰 열환경에서의 열쾌적성 추세 예측과 HVAC 시스템의 스마트 제어 기술 개발에 중점을 둡니다. 또한 전기요금 예측 모델링을 통해 재생 가능 에너지 비중이 높은 전력 시장에서의 거래 전략 수립과, 차량의 주행 행동 데이터를 기반으로 한 연료 소모 및 이산화탄소 배출 추정 기술 개발도 진행하고 있습니다. 특히 실시간 데이터 기반의 정밀 제어 및 예측 기술이 통합된 스마트 에너지 관리 시스템의 구축을 목표로 하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Real-time thermal comfort evaluation is not only essential in constructing the control module of Heating, Ventilation and Air Conditioning (HVAC) systems in residential buildings but also rather critical in energy conservation. In the transient thermal environment, current thermal comfort is not stable and varies from time to time. Therefore, if we only evaluate the current thermal sensation that will cause prediction error. Existing thermal comfort models mainly focus on the evaluation of curre
Fossil fuel vehicles significantly contribute to CO2 emissions due to their high consumption of fossil fuels. Accurate estimation of vehicular fuel consumption and the associated CO2 emissions is crucial for mitigating these emissions. Although driving behavior is a vital factor influencing fuel consumption and CO2 emissions, it remains largely unaddressed in current CO2 emission estimation models. This study incorporates novel driving behavior data, specifically counts of occurrences of dangero
Day-ahead electricity price forecasting (DAEPF) holds critical significance for stakeholders in energy markets, particularly in areas with large amounts of renewable energy sources (RES) integration. In Japan, the proliferation of RES has led to instances wherein day-ahead electricity prices drop to nearly zero JPY/kWh during peak RES production periods, substantially affecting transactions between electricity retailers and consumers. This paper introduces an innovative DAEPF framework employing
Day-ahead electricity price forecasting (DAEPF) is vital for participants in energy markets, particularly in regions with high integration of renewable energy sources (RESs), where price volatility poses significant challenges. The accurate forecasting of high and low electricity prices is particularly essential, as market participants seek to optimize their strategies by selling electricity when prices are high and purchasing when prices are low to maximize profits and minimize costs. In Japan,
Buildings consume a huge amount of energy and mainly utilize it for occupants' thermal comfort satisfaction. Real-time thermal comfort assessment can enormously contribute to thermal comfort optimization and energy conservation in buildings. Existing thermal comfort models mainly focus on the real-time assessment of occupants' current thermal comfort. However, in the transient thermal environment, occupants' thermal comfort is unsteady and varies from time to time. Therefore, if we only assess o
The paper introduces the basic principle of the inducement type ventilation in the province of aerodynamics: disturbed characteristic of high-speed cascade can effectively leads quiescent air around it and drive air flow, compares and analyzes the traditional ventilation type and inducement ventilation type applied in underground garage in the facets of airflow organization, practicability and economy, coming to the conclusion that the inducement type ventilation is applied to the underground ga
Wearable thermoelectric coolers (TECs), applicable in both indoor and outdoor environments, directly cool the human body surface and are considered to have much higher energy efficiency compared to compressor-based air-conditioners.However, the low coefficient of performance (COP) of TECs continues to be a significant burden on lithium-ion batteries, limiting the widespread use of TEC-based wearable coolers.In this study, we propose a novel water-electricity hybrid energy system by utilizing the
