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Behavior-Driven Energy Consumption in Buildings

by Charles Nehme
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Current price ₹3,294.00
Original price ₹3,829.00
Original price ₹3,829.00
Original price ₹3,829.00
(-14%)
₹3,294.00
Current price ₹3,294.00

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Book cover type: Paperback
  • ISBN13: 9798195567194
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 190
  • Original Price: GBP 29.45
  • Language: English
  • Edition: N/A
  • Item Weight: 264 grams
  • BISAC Subject(s): Construction / Heating, Ventilation & Air Conditioning

Energy consumption in buildings is often presented as a matter of engineering precision-efficient chillers, optimized lighting systems, advanced controls, and high-performance envelopes. Yet, in practice, even the most carefully designed buildings rarely perform as expected once occupied. The missing variable is not equipment; it is people.

This book, Behavior-Driven Energy Consumption in Buildings, explores the often-overlooked truth that buildings do not consume energy-people do. Every thermostat adjustment, every opened window, every switched-off or left-on device, and every deviation from intended use creates a dynamic energy reality that no static design model can fully capture.

Over the past decades, building technologies have advanced significantly, from high-efficiency HVAC systems to intelligent building management systems. However, the performance gap between design intent and operational reality persists. This gap is largely behavioral. Occupants interact with buildings based on comfort perception, habits, cultural expectations, and convenience rather than engineering logic.

This book aims to bridge that gap. It combines principles of building physics with behavioral science to provide a clearer understanding of how human actions shape energy demand. It also explores how modern buildings can respond more intelligently-not by restricting occupants, but by aligning systems with real human behavior patterns.

The objective is not to eliminate human influence, but to understand it, model it, and design around it more effectively.

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