Architecture Engineers Award

The construction sector is under increasing pressure to reduce energy consumption and carbon emissions while continuing to support rapid urban development. Green building practices have emerged as a key response, but their effectiveness is often limited by fragmented workflows and insufficient integration of sustainability principles across project stages. This study investigates the role of Building Information Modelling (BIM) as an integrated platform for improving energy performance, resource efficiency, and lifecycle sustainability in green building design. BIM as an Integrated Platform for Sustainable Design Building Information Modelling (BIM) enables the creation of data-rich digital representations of buildings, facilitating collaboration among architects, engineers, and stakeholders. Unlike traditional design methods, BIM allows sustainability considerations to be embedded from early design stages through to operation. By integrating energy analysis, material data, and perfo...

The construction industry is increasingly required to adopt sustainable materials as buildings grow in scale, complexity, and environmental impact. Simultaneously, post-consumer clothing waste has become one of the fastest-growing solid waste streams worldwide. Due to its heterogeneous composition and low biodegradability, textile waste poses significant environmental challenges and is often underutilized in recycling systems. This study investigates the architectural potential of unsorted clothing waste as a scalable resource for developing multifunctional interior materials capable of providing both acoustic control and thermal insulation in building environments. Material Processing and Fabrication Method A simplified thermo-mechanical processing technique was developed to convert heterogeneous textile waste into fiber-based insulation panels. The process eliminates the need for chemical additives or prior sorting of materials, making it more feasible for large-scale waste recycl...

In response to accelerating global challenges such as resource depletion, climate risk, and urban health inequality, architectural design is undergoing a fundamental shift from experience-based approaches to intelligence-driven practices. Artificial Intelligence for Sustainable Architectural Design (AI4SAD) has emerged as a critical catalyst in this transformation. This study provides the first comprehensive mapping of AI4SAD research, examining how AI is being applied across architectural design stages, sustainability objectives, and algorithmic domains. Scope and Methodology of the Systematic Review The research is grounded in a systematic review of 408 scholarly studies, offering a robust spatiotemporal overview of global AI4SAD development. By analyzing patterns across regions, time periods, design phases, and sustainability targets, the study establishes a structured evidence base that reveals dominant research trajectories as well as underexplored areas within AI-driven sustai...

  With the rapid advancement of deep learning technologies, generative artificial intelligence has become an influential tool in architectural design research and practice. While existing generative design studies largely emphasize spatial organization and functional relationships, environmental performance considerations are often treated as post-design evaluations rather than integral design drivers. This research addresses this limitation by proposing a performance-based generative framework that embeds environmental constraints directly into the architectural generation process. Limitations of Conventional Generative Design Approaches Most GAN-based architectural design models focus on visual similarity, spatial plausibility, or functional compliance, neglecting critical environmental performance metrics. As a result, generated design outcomes frequently require extensive post-processing or simulation-based refinement. This section discusses how the absence of performance f...

Energy efficiency in buildings is a critical research priority as global demand for cooling and heating continues to rise. This study focuses on improving building envelope systems by integrating phase change materials (PCMs) with regenerative water flow. While PCMs are known for their latent heat storage capacity that helps reduce peak thermal loads, their ability to lower average loads remains limited. To overcome this drawback, the research explores an active cooling strategy where PCMs are regenerated through controlled water circulation, leading to significant thermal performance enhancement. Role of PCM in Thermal Load Management PCMs are widely recognized for their ability to absorb and release heat during phase transitions, making them suitable for moderating indoor temperature fluctuations. However, when compared to conventional insulation of identical thermal resistance, PCMs alone do not significantly improve average cooling loads. This limitation highlights the necessity ...