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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.

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Economic feasibility analysis of small scale PV systems in different countries

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.
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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.
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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.
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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.
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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.