Dr. Laura M. Arpan is the Theodore Clevenger Professor of Communication and Director of Doctoral Studies in the School of Communication at Florida State University. Dr. Arpan’s research examines risk perceptions, human motivation and responses to pro-environmental messages, interventions, and related technologies. Her projects focus on the effectiveness of promotional messages and outreach efforts designed to encourage sustainable behaviors such as energy conservation and efficiency. Recent work has examined Americans’ attitudes toward energy conservation and sustainability, factors enhancing the effectiveness of information campaign messages promoting energy-use-reduction and sustainability
Dr. Laura M. Arpan is the Theodore Clevenger Professor of Communication and Director of Doctoral Studies in the School of Communication at Florida State University. Dr. Arpan’s research examines risk perceptions, human motivation and responses to pro-environmental messages, interventions, and related technologies. Her projects focus on the effectiveness of promotional messages and outreach efforts designed to encourage sustainable behaviors such as energy conservation and efficiency. Recent work has examined Americans’ attitudes toward energy conservation and sustainability, factors enhancing the effectiveness of information campaign messages promoting energy-use-reduction and sustainability
Da Yan, Ph.D.
Dr. Da Yan is a tenured associate Professor in School of Architecture, Tsinghua University, China. Since 2005, Dr. Da Yan has made significant original contributions across a diverse set of research areas and projects. His research focuses on energy efficiency of buildings including human energy-related behavior modelling and simulation in buildings, DeST research and development, building energy code and standards, and national building energy and policy study.
Da Yan devoted his effort into the development of the building energy simulation tool DeST (Designer’s Simulation Tool) since 2000 and won second national prize for scientific and technological progress of China in 2008. He is the operating agent of IEA EBC Annex 66 with more than 100 participants from more than 20 countries. The annex aims to set up a standard definition platform, to establish a quantitative simulation methodology to model occupant behavior, and to understand the influence of occupant behavior on building energy use and indoor environment. Dr. Da Yan has published over 100 journal papers and over 10 books.
Selected Publications
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Feng, X., Yan, D., Hong, T. (2014). Simulation of occupancy in buildings. Energy and Buildings, In Press.
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Zhou, X., Yan, D., Hong, T., & Ren, X. (2014). Data analysis and stochastic modeling of lighting energy use in large office buildings in China. Energy and Buildings, 81, 172-182.
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Ren, X., Yan, D., & Wang, C. (2014). Air-conditioning usage conditional probability model for residential buildings. Building and Environment, 81, 172-182.
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Sun, K., Yan, D., Hong, T., & Guo, S. (2014). Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration. Building and Environment, 79, 1-12.
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Zhou, X., Hong, T., & Yan, D. (2014, February). Comparison of HVAC system modeling in EnergyPlus, DeST and DOE-2.1 E. In Building Simulation (Vol. 7, No. 1, pp. 21-33). Springer Berlin Heidelberg.
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Li, C., Hong, T., & Yan, D. (2014). An insight into actual energy use and its drivers in high-performance buildings. Applied Energy, 131, 394-410.
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Zhu, D. D., Yan, D., & Li, Z. (2013). Modelling and applications of annual energy-using simulation module of separated heat pipe heat exchanger. Energy and Buildings, 57, 26-33.
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hu, D., Hong, T., Yan, D. (2013). A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E. Building Simulation, 6, 323-335.
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Qin, R., Yan, D., Zhou, X., & Jiang, Y. (2012). Research on a dynamic simulation method of atrium thermal environment based on neural network. Building and Environment, 50, 214-220.
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Peng, C., Yan, D., Wu, R., Wang, C., Zhou, X., & Jiang, Y. (2012, June). Quantitative description and simulation of human behavior in residential buildings. In Building Simulation (Vol. 5, No. 2, pp. 85-94). Tsinghua Press.