Architecture Engineers Award

Traditional space heating systems typically rely on averaged or single-point temperature readings, often neglecting spatial variations within indoor environments. This oversight can cause inefficiencies in maintaining thermal comfort and unnecessary energy consumption. In response, this research introduces an occupant-centred control method that dynamically adjusts heating based on real-time occupant positioning and localized thermal conditions. By integrating advanced localization and thermal modeling, the proposed system enhances both energy efficiency and occupant comfort through intelligent feedback-based control. Adaptive Multi-Target Localization for Occupant Tracking Accurate occupant localization is central to personalized climate control. This study employs an adaptive multi-target localization method using the Density Peak Clustering (DPC) algorithm to detect real-time occupant positions. The algorithm’s strength lies in its ability to identify distinct data clusters witho...

  In the global effort toward achieving carbon neutrality, the building sector stands as one of the largest contributors to energy consumption and emissions. Enhancing the energy efficiency of buildings, particularly during their operational phase, has therefore become a central focus of modern architecture and sustainability research. The integration of Artificial Intelligence (AI) and Digital Twin technologies presents a promising path forward, enabling data-driven insights, real-time control, and predictive energy management. This research investigates the role of AI-driven Digital Twins in optimizing building performance, aligning technological innovation with sustainable design principles. Research Motivation and Objectives Buildings account for a significant portion of global energy demand, and inefficiencies in operation often stem from the lack of real-time monitoring and predictive control systems. Traditional energy management approaches fall short in dynamically adapt...

  Effective daylight management and visual comfort in office spaces remain crucial for occupant well-being and productivity. Traditional shading systems often fail to adapt to dynamic environmental conditions and individual preferences, leading to discomfort and energy inefficiency. This research explores AI-driven adaptive façades as a solution, integrating real-time control algorithms and predictive modeling to enhance indoor lighting quality and optimize energy usage. Problem Statement Current shading solutions in office environments are typically limited to static or manually adjustable systems. These fixed geometries cannot respond dynamically to variations in sunlight, glare, or occupant requirements. The lack of adaptability restricts optimal daylight utilization and visual comfort, highlighting the need for intelligent, real-time façade control systems that can respond to changing conditions. Methodology The study implements a real-time shading control algorithm that ...

  Ensuring both energy efficiency and indoor air quality (IAQ) in educational buildings has become a vital concern in sustainable design. As schools and universities grow increasingly tech-integrated, maintaining a balance between energy consumption and healthy indoor environments is challenging. This study explores how Machine Learning (ML) can bridge that gap — providing intelligent HVAC control, data-driven insights, and environmentally conscious solutions that make classrooms greener and healthier. The Challenge of Balancing Energy and Air Quality Traditional energy management systems in educational institutions often prioritize cost-saving over air quality, leading to poor ventilation and occupant discomfort. Conversely, over-ventilation wastes energy and increases operational costs. This research addresses this dual challenge, emphasizing the necessity for integrated ML solutions capable of optimizing both aspects simultaneously through real-time monitoring and adaptive c...

High-rise buildings, characterized by extensive glazed façades and substantial energy demands, present both challenges and opportunities for photovoltaic (PV) integration. The concept of multifunctional PV-windows combines power generation with shading functionalities, enabling efficient utilization of façade surfaces while enhancing energy efficiency. This research explores novel PV-window prototypes, aiming to bridge the performance gap between architectural adaptability and conventional photovoltaic modules. Design and Development of PV-Window Prototypes Two PV-window prototypes were engineered to address both architectural and electrical performance. The prototypes incorporated adjustable louvers to balance daylighting, shading, and solar harvesting. Material selection was varied between aluminium alloy and carbon fibre reinforced polymer (CFRP) to evaluate their influence on energy efficiency, structural integrity, and adaptability in building envelope systems. Electrical Circ...

  Celebrating groundbreaking ideas and visionary minds shaping the future of architecture. From sustainable design to smart building innovations, these awards honor researchers pushing the boundaries of creativity, technology, and environmental responsibility. Architecture Engineers Awards 🔗 Nominate now! 👉  https://architectureengineers.com/award-nomination/ecategory=Awards&rcategory=Awardee 🌐 Visit:  architectureengineers.com 📩 Contact:  contact@architectureengineers.com #ArchitectureAwards #InnovativeResearch #FutureArchitecture #SustainableDesign #SmartBuildings #BuildingInnovation #GreenArchitecture #ArchitecturalExcellence #ResearchInArchitecture #SustainableArchitecture

Modern buildings face significant challenges due to peak cooling demands, especially during afternoon hours, which increase energy consumption and reduce system efficiency. This research focuses on integrating advanced materials, such as dual-stage phase change materials (DPCMs), with compact heat pipe systems , to create smart building solutions. By adopting intelligent design strategies, architects can optimize indoor thermal comfort , reduce peak cooling loads, and enhance energy efficiency . The study highlights the role of material placement and sizing within building envelopes to achieve sustainable and adaptive building performance . Peak Cooling Load Challenges in Smart Buildings Afternoon peak cooling demands in buildings create stress on HVAC systems, leading to inefficiencies and increased energy costs. Understanding these challenges is essential for architects to design thermally responsive buildings . Integrating advanced thermal storage materials like DPCMs helps in ...

Smart buildings are rapidly becoming a vital part of sustainable development, offering solutions that enhance energy efficiency, improve user comfort, and reduce environmental impact. However, their adoption in Nigeria and other developing nations remains limited due to cost constraints, lack of expertise, and insufficient awareness. This study highlights the urgent need to analyze the financial implications of smart building adoption, focusing particularly on Abuja as a case study. Cost Implications of Smart Building Implementation The study emphasizes that the most significant challenge in smart building development is the high cost of hardware components, which often discourages investors and builders. These financial barriers create a widening gap between traditional construction practices and smart building adoption, particularly in markets with limited financial incentives. Cost analysis becomes an essential step in identifying realistic approaches to reducing expenses without ...