Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools

Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of AI, specifically machine learning, for performance modeling in the built environment, focusing on multi-scale modeling, energy flows, environmental quality, and human systems. It examines relevant practices, case studies, and computational tools, highlights the integration of intelligent systems and digital twins, and incorporates emerging technologies to improve performance analysis and sustainable design.

Format: Paperback / softback
Length: 304 pages
Publication date: 23 May 2024
Publisher: John Wiley & Sons Inc

Artificial Intelligence (AI) has revolutionized the field of sustainable design by enabling the integration of data-driven methodologies and technology. In the book "Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools," the authors delve into the application of AI, particularly machine learning (ML), for performance modeling within the built environment. This comprehensive work establishes the theoretical foundations and methodological frameworks for leveraging AI/ML, with a strong emphasis on multi-scale modeling that encompasses energy flows, environmental quality, and human systems.

The book explores relevant practices, case studies, and computational tools that harness AI's capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, enabling a deeper understanding and management of these complex environments.

One of the key strengths of this book is its ability to incorporate emerging technologies into practical ideas for improving performance analysis and sustainable design. The authors present data-driven methodologies and technologies that seamlessly integrate into modeling and design platforms, providing valuable insights and tools for developing decarbonization pathways in urban buildings.

Contributions from expert researchers and educators across a range of related fields further enrich the content of the book. "Artificial Intelligence in Performance-Driven Design" is an ideal resource for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It is also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science.

By leveraging AI and data-driven methodologies, architects and designers can create more efficient, resilient, and sustainable buildings that minimize their environmental impact and enhance the well-being of occupants. The book serves as a valuable guide for practitioners and scholars seeking to advance the field of sustainable design and build a more sustainable future.

Weight: 582g
Dimension: 253 x 178 x 20 (mm)
ISBN-13: 9781394172061