Xueying Han’s research while affiliated with Harbin Institute of Technology and other places

Direct sunlight causes glare and reduces indoor daylight quality, making shading systems essential. This study proposes and validates a perforated shading screen (PSS) to enhance daylighting and energy efficiency. A hybrid approach integrating parametric modeling, machine learning, multi-criteria decision-making (MCDM), and genetic algorithm (GA) is used to optimize the design incorporating architects’ preferences. The Analytic Network Process (ANP) is used to assign weights to performance metrics while accounting for interdependencies. The study evaluates PSS performance in three hot climate regions—Cairo, Riyadh, and Kuching—on both south and west elevations, comparing it to traditional fins. Results show that PSS consistently outperforms fins, significantly improving daylight and energy performance. The Useful Daylight Illuminance (UDI) increased by up to 105.32%, Continuous Daylight Autonomy (CDA) by up to 11.87%, while Annual Solar Exposure (ASE), Solar Gain (SG), and Energy Use Intensity (EUI) were reduced by up to 100%, 88.07%, and 45.2%, respectively. To validate the findings, the optimal PSS design from a selected case study was 3D-printed and experimentally tested. Results confirmed enhanced daylight distribution and reduced glare, improving occupant comfort. The proposed PSS offers an effective shading solution adaptable to various climates, balancing daylighting needs and energy efficiency.

A comprehensive understanding of the randomness, arbitrariness, and complexity of the visitors' behavior and interaction in a museum is important because it is associated with the design. There is still uncertainty about how to characterize the visitors' behavior and interaction. The fractal dimension was used in this study to indicate the geometrical form of the aged's, the families', and the students' walking trajectories. The study results represented that all three sorts of the walking trajectory fractal-dimension-time curves fluctuated in the early stage. A remarkable exponential converges could then be observed. The mean fractal dimension after the convergence of the aged's, the families', and the students' walking trajectory was nearly 1.8, 1.6, and 1.2, respectively. Furthermore, the behavior characteristics of these three sorts of visitors were quantified and the reasons were speculated and inferred. The comprehensive consideration of fractal geometry can aid in visitors' behavior modeling and museum design.

Purpose The concept of green buildings (GBs) in contemporary building design has risen in popularity with the rapid economic development resulting from globalization. The primary objective of this research is to provide an impetus to improve the methods of green technology adaptation, taking the Russian Federation as an example. Design/methodology/approach Globally, the first green building rating systems were implemented in the 1990s. The Russian Federation had launched its national green building rating systems apart from the international green building rating systems that were implemented in the country. Findings Based on qualitative analysis, a common approach in the Russian market for certifying green construction was identified. The collected information can be considered evidence of market entry and aid in preparation for possible market shocks. Originality/value Furthermore, the study determined seven significant rating measures that were generally applied by various green building rating systems, and the most influential rating measure was “energy,” followed by “site,” “indoor environment,” “land and outdoor environment,” “material,” “water” and “innovation.” Additionally, this study determined the primary research endeavors of the analyses of contemporary green building rating systems and presented the scope for future research.

Green buildings starting to become an unavoidable trend due to the introduction of an assessment standard for green construction in Armenia. In the world green residential buildings grow even faster than green public buildings. The total area of residential buildings is approximately two times higher than in public buildings. In this work is eliminated the main problems of residential building in Armenia, in socio-demographic, functional, psychological, economical and technical aspects.