X
Xiaoju Chen
Researcher at Carnegie Mellon University
Publications - 23
Citations - 445
Xiaoju Chen is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Renewable energy & Photovoltaic system. The author has an hindex of 7, co-authored 20 publications receiving 318 citations. Previous affiliations of Xiaoju Chen include Harbin Institute of Technology.
Papers
More filters
Journal ArticleDOI
Economic feasibility analysis of small scale PV systems in different countries
Sandy Rodrigues,Roham Torabikalaki,Fábio Faria,Nuno Cafôfo,Xiaoju Chen,Ashkan Ivaki,Herlander Mata-Lima,Fernando Morgado-Dias +7 more
TL;DR: In this paper, the authors analyzed a representative set of countries, including Australia, Brazil, China, Germany, India, Iran, Italy, Japan, Portugal, South Africa, Spain, United Kingdom, and the United States of America, to identify the ones with the best investment opportunities considering the new regulations.
Journal ArticleDOI
Comparative Life Cycle Assessment of Conventional, Glass Powder, and Alkali-Activated Slag Concrete and Mortar
TL;DR: In this paper, the authors compared the greenhouse gas emissions, energy use, water use, and potential environmental toxicity of conventional (Conv), glass powder (GP), and alkali-activated slag (AAS) concrete and mortar and found that compared to a 35-MPa Conv concrete, a 35MPa GP concrete has, on average, 19% lower GHGs, 17% less energy, 14% less water, and 14-21% lower environmental toxicity.
Journal ArticleDOI
Economic analysis of photovoltaic systems for the residential market under China's new regulation
TL;DR: In this paper, the economic profitability of different regions considering the solar radiation levels, savings in self-consumption, cash flows from injecting power into the grid and local prices for installations is analyzed.
Journal ArticleDOI
Uncertainty caused by life cycle impact assessment methods: Case studies in process-based LCI databases
TL;DR: In this paper, the authors systematically evaluated uncertainties that result from considering different LCIA methods; cases from the US LCI and the ecoinvent database were used to demonstrate the uncertainties and showed that the discrepancies of the total impact results were caused by differences in 1) the total emission values included in the inventory; 2) the coverages of substances in methods, and 3) the differences in the characterization factor values of the substances.
Journal ArticleDOI
Representing and visualizing data uncertainty in input-output life cycle assessment models
TL;DR: Improved uncertainty assessment supports various types of decisions, such as product comparisons, hotspot analysis, and overall energy analyses, and can be extended to additional types of flows, beyond energy, and to process-matrix-based LCA models.