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Fuxin Niu

Researcher at University of Alabama

Publications -  20
Citations -  1187

Fuxin Niu is an academic researcher from University of Alabama. The author has contributed to research in topics: Energy consumption & Passive cooling. The author has an hindex of 14, co-authored 20 publications receiving 758 citations. Previous affiliations of Fuxin Niu include University of Nebraska–Lincoln & Ingersoll Rand.

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Review on building energy performance improvement using phase change materials

TL;DR: In this paper, a review of phase change materials used to optimize building envelope and equipment is provided, and the existing gaps in the research works on energy performance improvement with phase change material are identified, and recommendations offered as authors' viewpoints in 5 aspects.
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Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons

TL;DR: Compared with the ANN model, the solar radiation prediction using the RNN model has a higher prediction accuracy, with a 47% improvement in Normalized Mean Bias Error (NMBE) and a 26% improved in Root-Mean-Squared Error (RMSE).
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Performance of a coupled cooling system with earth-to-air heat exchanger and solar chimney

TL;DR: In this paper, an innovative passive air conditioning system coupling earth-to-air heat exchangers (EAHEs) with solar collector enhanced solar chimneys was proposed to reduce the peak electrical demand in the summer.
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Heat and mass transfer performance analysis and cooling capacity prediction of earth to air heat exchanger

TL;DR: In this paper, the authors presented the comprehensive performance analysis and deduced an easy-to-apply regression model for predicting the cooling capacity of an EAHE, which couples both heat and mass transfer between the air and the tube.
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The role of sensitivity analysis in the building performance analysis: A critical review

TL;DR: An extensive analysis was performed to evaluate the role of the SA in the building performance analysis (BPA), including the typical selection of the input and output parameters for the SA and various tools used in the SA were introduced to facilitate the practitioners.