American Journal of Modern Energy

Special Issue

Advanced Strategies for Energy-Efficient Building Systems

  • Submission Deadline: 30 November 2024
  • Status: Open for Submission
  • Lead Guest Editor: Ying Yan
About This Special Issue
In the contemporary academic landscape, optimizing energy-efficient building systems is undeniably crucial, and equally significant is the meticulous attention to fault diagnosis within these systems. The current focus, encapsulated by the title "Advanced Strategies for Energy-Efficient Building Systems" underscores the pivotal role of innovative approaches not only in optimizing performance but also in addressing and mitigating equipment faults within built environments. Understanding that the efficient operation of equipment plays a fundamental role in energy conservation, this special issue also seeks to emphasize the critical relationship between fault diagnosis and energy savings. By exploring advanced optimization and diagnostic methods, we aim to uncover solutions that not only enhance the reliability and performance of building systems but also contribute significantly to energy conservation efforts. Through this nuanced perspective, we endeavor to foster research that achieves the optimization control of equipment and identifies equipment faults, ultimately promoting a more sustainable and energy-efficient future for built environments. .
The primary goal of this special issue is to catalyze research endeavors that contribute to the refinement and innovation of both diagnostic and control strategies for energy-efficient building systems. We invite contributions that explore the multifaceted aspects of achieving optimal control, coupled with effective fault diagnosis in building equipment, which are pivotal in achieving sustainable, energy-efficient outcomes. This special issue aims to provide a comprehensive platform for researchers to address the challenges of enhancing performance and reliability while simultaneously minimizing energy consumption through systematic fault detection and control optimization.
We welcome a variety of contributions, including original research articles, review papers, case studies, and innovative methodologies that advance knowledge in the field.
Through this special issue, we aim to create a comprehensive body of work that not only addresses current challenges but also provides practical insights for the implementation of sustainable practices in building systems. Researchers from various disciplines are encouraged to provide interdisciplinary perspectives on the theme, contributing to a holistic understanding of optimization control, fault diagnosis, prognostics, fault-tolerant control integration of smart materials and renewable energy sources in energy-efficient building systems. Your contributions will play a crucial role in advancing knowledge and promoting a sustainable future for energy-efficient buildings.

Potential topics include, but are not limited to:

  1. Innovative approaches to fault diagnosis in HVAC systems
  2. Integration of renewable energy sources in building control systems
  3. Adaptive control strategies for optimizing energy consumption
  4. Advanced sensing technologies for real-time diagnostics
  5. Smart building solutions for enhanced energy efficiency
  6. Fault-tolerant control strategies for ensuring continuous operation during equipment failures
  7. Strategies for optimizing the thermal performance of building envelopes
  8. Integration of smart materials for improved insulation and energy efficiency
  9. Prognostic methods for predicting the remaining useful life of building components
Lead Guest Editor
  • Ying Yan

    Department of Automation, Nanjing University of Information Science and Technology, Nanjing, China

Guest Editors
  • Jun Cai

    Department of Automation, Nanjing University of Information Science and Technology, Nanjing, China

  • Adrian David Cheok

    Department of Automation, Nanjing University of Information Science and Technology, Nanjing, China

  • Guannan Li

    Department of Urban Construction, University of Science and Technology, Wuhan, China

  • Xiaoli Zhao

    Department of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China

  • Qiming Sun

    Department of Information Science and Technology, Nanjing Forestry University, Nanjing, China

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