Architecture Engineers Award

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This study investigates the application of six machine learning regression models to predict building performance in a residential unit located in Sari, Iran. Using a calibrated EnergyPlus model and three years of utility data, the research evaluates primary energy consumption, emissions, indoor air quality, thermal comfort, and visual discomfort. The aim is to enhance sustainable design decision-making by comparing the efficiency and accuracy of different models. Machine Learning Models in Building Performance The research evaluates Random Forest, K-Nearest Neighbors, Support Vector Regression, Artificial Neural Network, Extreme Gradient Boosting, and Linear Regression. Each model is tested against real-world performance indicators, highlighting their predictive strength and weaknesses in handling multidimensional building datasets. Dataset and Methodology A synthetic dataset of 1,826 configurations with 25 input variables was developed using EnergyPlus. The dataset was split in...

Traditional building energy simulation models often overlook the stochastic behavior of occupants and the complex interactions between multiple devices. This limitation creates a significant gap between predicted and actual building energy consumption. Addressing this issue requires behavior-sensitive frameworks that integrate both human and technical dimensions of building performance. The proposed study bridges this gap by introducing a fuzzy multi-criteria decision-making (FMCDM) approach coupled with evolutionary optimization to ensure realistic and adaptive performance predictions. Significance of Occupant Behavior in Energy Modeling Occupant behavior is one of the most influential yet uncertain factors in determining building energy performance. Stochastic patterns, such as irregular use of appliances, varying thermal preferences, and diverse daily routines, make deterministic models insufficient. Incorporating behavioral diversity through FMCDM provides more accurate results, ...

  Sustainable hospital design plays a pivotal role in reducing the ecological footprint of healthcare infrastructure while ensuring effective service delivery. In resource-constrained regions such as Jordan, the need for a balanced approach that integrates environmental, economic, and sociocultural dimensions has become increasingly vital. This study employs the Analytic Hierarchy Process (AHP) to evaluate multiple sustainability criteria, thereby offering a systematic framework for decision-making in hospital planning and development. Role of AHP in Sustainable Healthcare Planning The Analytic Hierarchy Process (AHP) is a multi-criteria decision-making tool that allows experts and policymakers to prioritize sustainability factors based on structured comparisons. In this study, AHP enabled the evaluation of seven primary sustainability criteria, capturing both quantitative and qualitative aspects. By ensuring logical consistency, AHP proved effective in aligning expert judgment ...

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 ...

The integration of renewable and conventional energy technologies has become essential for achieving sustainable power generation. Hybrid solar-gas turbine systems are emerging as a promising solution to enhance energy efficiency, reduce greenhouse gas emissions, and optimize resource utilization. This study explores the redesign of an existing gas power plant in the MENA region through the incorporation of a heliostat field and central air receiver, highlighting its potential as a pathway for low-carbon energy transition. Hybrid Solar-Gas Turbine Concept The hybridization of solar and gas turbine technologies leverages the high efficiency of gas-based systems with the sustainability of solar energy. In this research, a heliostat field is deployed to capture solar radiation, directing it to a central receiver to preheat the working fluid before entering the turbine. This integration reduces dependency on fossil fuels while maintaining the reliability and flexibility of conventional ...

As mobility systems continue to evolve, their design must not only ensure efficiency but also strengthen communities’ ability to adapt to disruptions in daily life. Social resilience—although often overlooked—emerges as a crucial factor in mobility planning. This study highlights how shifting focus from organizational priorities to community strengths can foster more adaptive and inclusive transport solutions. Defining Social Resilience in Mobility Systems Social resilience in the context of mobility refers to the capacity of individuals and communities to maintain stability and well-being despite disruptions. Unlike purely infrastructural resilience, which focuses on physical assets and logistics, social resilience prioritizes human adaptability, routines, and community networks. Research in this area aims to bridge the gap between technical mobility solutions and lived social experiences. Challenges in Embedding Social Sustainability One of the major challenges identified is the ...

Buildings are among the largest energy consumers globally , driving the need for innovative and sustainable solutions that reduce reliance on fossil fuels. The integration of solar-based systems with advanced technologies such as organic Rankine cycles and combined cooling, heating, and power systems provides a promising pathway toward cleaner energy utilization. This study explores the potential of a solar integrated organic Rankine cycle with CCHP applications for commercial buildings, highlighting its efficiency, adaptability, and contribution to sustainable energy transitions. Role of Buildings in Energy Consumption The electricity demand of commercial and residential buildings is a major contributor to global energy consumption. Conventional energy systems heavily rely on fossil fuels, leading to increased greenhouse gas emissions and environmental degradation. Research has increasingly emphasized the need for alternative energy technologies, such as solar-based systems, to addr...

🏆 Woman Researcher Awards The Woman Researcher Awards honor exceptional women making impactful contributions in science, engineering, architecture, and technology. This recognition highlights innovation, leadership, and groundbreaking research, inspiring future generations of women leaders. 📐   About the Award The Best Architectural Design Award recognizes visionary designers and firms whose projects reflect  artistic brilliance ,  sustainable practices , and  cutting-edge solutions . From residential marvels to public landmarks, this award applauds  transformational design thinking  that makes a lasting impact. 🏗️🌱 🧑‍🎓  Eligibility ✔ Open to architects, designers, and design teams across the globe 🌐 ✔ Projects must be completed or under recognized development 🛠️ ✔ Demonstrated excellence in creativity, functionality, and impact 🏆 🎖  Award Benefits 📜 Certificate of Design Excellence 🌐 Global recognition across architectural and engin...