Yuchen Yang | EPFL Graph Search

Yuchen is working on the SNF Sinergia interdisciplinary project

"Narratives from the long tail: transforming access to audiovisual archives"

under the supervision of Prof. Sarah Kenderdine at Laboratory for Experimental Museology.

His research interests include Machine Learning on Heterogeneous Data, Knowledge Representation and Semantics, Audiovisual Narrative, Digital Curation, and HCI. He is especially interested in their application in the cultural and heritage sector in pursuit of the future for memory institutions.

Before joining EPFL, Yuchen worked for Mckinsey & Company, NLP start-up Eigen Technologies, and Alibaba Group in various roles, with a focus on digital transformation and utilising unstructured data.

Climate change and energy performance of European residential building stocks-A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment

Kavan Javanroodi, Vahid Moussavi Nik, Yuchen Yang

In recent years, climate change and the corresponding expected extreme weather conditions have been widely recognized as potential problems. The building industry is taking various actions to achieve sustainable development, implement energy conservation strategies, and provide climate change mitigation. In addition to mitigation, it is crucial to adapt to climate change, and to investigate the possible risks and limitations of mitigation strategies. Although the importance of climate change adaptation is well-understood, there are still challenges in understanding and modeling the impacts of climate change, and the consequent risks and extremes. This work provides a comprehensive study of the impacts of climate change on the energy performances and thermal comfort of European residential building stocks. To perform an unbiased assessment and account for climate uncertainties and extreme events, a large set of future climate data was used for a 90-year period (2010-2099). Climate data for 38 European cities in five different climate zones, downscaled by the "RCA4" regional climate model, were synthesized and applied to simulate the respective energy performances of the residential building stocks in the cities. The results suggest that there will be larger needs for cooling buildings in the future and less heating demand; however, there are differences in the variation rates between zones and cities. Discomfort hours will increase notably in cities within cooling-dominated zones, but will not be affected considerably in cities within heating-dominated zones. In addition to long-term changes, climate-induced extremes can considerably affect future energy demands, especially the cooling demand; this may become challenging for both buildings and energy systems.

ELSEVIER SCI LTD2021

Evaluation and optimization of renewable energy in the Quartier Nord

Yuchen Yang

The energy demand increases worldwide and due to the fact that fossil fuel is still dominating the energy mix, the corresponding CO2 emission becomes a more serious problem that threatens the global environment. The building sector is the largest energy consumer and it is of vital significance to reduce the primary energy consumption thus the CO2 emission in this sector. Under this constraint, the standards were set up to design buildings with relatively low energy consumption. Following the standard, the proposal phase of the buildings can be well regulated. However, it is equally important to check the energy consumption of the building in operating condition. In this project, a specific building was selected and its energy consumption condition was simulated both at building and neighbourhood level respectively. EnergyPlus was chosen to run the simulation at single building level and the results were compared with Minergie standard and the monitored data for the building. Another software, CitySim working at a larger scale, is also used. In order to validate the accuracy of the simulations, a benchmark was done based on the calculations of the idea load of the building in EnergyPlus and CitySim. The sources of errors were analysed in detail. At last, renewable resources were also integrated into the building to explore its plotentialof being a net-zero energy building.

2015

Climate change and energy performance of European residential building stocks-A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment

Kavan Javanroodi, Vahid Moussavi Nik, Yuchen Yang

ELSEVIER SCI LTD2021