Chang Shen

ORCID: 0000-0001-8540-2268
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About
Contact & Profiles
Research Areas
  • Energy, Environment, and Transportation Policies
  • Building Energy and Comfort Optimization
  • Energy and Environment Impacts
  • Vehicle emissions and performance
  • COVID-19 Pandemic Impacts
  • Transportation Planning and Optimization
  • COVID-19 and Mental Health
  • Electric Vehicles and Infrastructure
  • COVID-19 impact on air quality
  • Solar Thermal and Photovoltaic Systems
  • Photovoltaic System Optimization Techniques

University of Maryland, College Park
2018-2021

Universiti Tenaga Nasional
2015

10.1016/j.trd.2021.102984 article EN Transportation Research Part D Transport and Environment 2021-08-02

First-tracking publications to covid-19-related meta-analytic evidences benefited evidence-based policymaking for safeguarding public mental health in this pandemic. However, such makeshifts had been concerned cause troubling unreliable estimates problems epidemics. From 98 studies with 18,604,876 individuals across 94 countries published the pandemic, we found significant risk of bias (ROBs) publication, one meta-analysis being per five days at peak. Despite large-scale samples these...

10.31219/osf.io/yt4m7 preprint EN 2024-10-28

10.1016/j.trd.2023.103914 article EN Transportation Research Part D Transport and Environment 2023-09-22

Water heating contributes a significant part of energy consumption in typical household. One the most employed technologies today that helps reducing water would be conventional solar system. However, this system is expensive and less affordable by family. The main objective project to design implement an alternative type utilize only passive which known as slab Slab heat up cold using radiance from sun. unique it does not require any form electricity order operate. Solar converted into...

10.1063/1.4928830 article EN AIP conference proceedings 2015-01-01

Power generation is a major source of greenhouse gas emissions, and in turn likely to be heavily affected by climate change. Earlier analyses have shown that Southern Europe, including Italy, there V-shaped relationship between temperature electricity usage. Higher temperatures were found lead sharp increases But those based on delivered all sectors (residential, commercial, industrial), cooling demand driven primarily the latter two. In this paper, we use hourly from sample Italian...

10.2139/ssrn.3234746 article EN SSRN Electronic Journal 2018-01-01
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