CEEM Faculty New Book Releases

Oct 15 2021

Building Integrated Photovoltaic Thermal Systems: Fundamentals, Designs, and Applications
Authors: Huiming Yin, Mehdi Zadshir, Frank Pao. Publisher: Elsevier

The book presents various applications, system designs, manufacturing and installation techniques surrounding how to build integrated photovoltaics. The book provides a comprehensive understanding of all system components, long-term performance and testing, and the commercialization of BIPV systems. By addressing potential obstacles with current BIPV systems, such as photovoltaic efficiency bottlenecks and product heat harvesting, the authors not only cover fundamentals and design philosophy of current technology, but also introduce a hybrid system that looks at building integrated thermal electric roofing. Topics covered in this book are useful for scientists and engineers in the fields of photovoltaics, electrical and civil engineering, materials science, sustainable energy harvesting, solar energy, and renewable energy production.

 

 

Book Publication:   The Inclusion-Based Boundary Element Method (iBEM).
Authors: Huiming Yin, Gan Song, Liangliang Zhang, Chunlin Wu

The Inclusion-Based Boundary Element Method (iBEM) is a novel numerical method for the study of the multi-physical and mechanical behaviour of composite materials, linear elasticity, potential flow or Stokes fluid dynamics. It combines the basic ideas of Eshelby's Equivalent Inclusion Method (EIM) in classic micromechanics and the Boundary Element Method (BEM) in computational mechanics. Starting by covering the fundamentals required to understand the method and going on to describe everything needed to apply it to a variety of practical contexts, this book is the ideal guide to this innovative numerical method for students, researchers, and engineers.

 

 

 

 

 

Book Publication: “Computer Vision for Structural Dynamics and Health Monitoring”
Authors: Dongming Feng and Maria Feng.

Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs. natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement.