Enhancing Energy Efficiency in Public Buildings Using Innovative Climate Studio Software

Document Type : Original Article

Authors

1 Ph.D. Student, Department of Urban Planning, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, South Tehran Branch, Islamic Azad University, Tehran, Iran

10.22059/ses.2025.391987.1127

Abstract

Tehran has experienced rapid population growth and physical expansion in recent decades, leading to significant challenges including excessive consumption of non-renewable energy, rising urban costs, and energy imbalance. The environmental consequences of this consumption, such as air pollution and related health issues, have heightened the urgency of finding solutions for energy management and the transition to clean energy sources. In this context, urban planners have taken effective strides by leveraging theoretical frameworks and practical experience. Given the substantial share of energy consumption attributed to buildings, implementing optimization strategies in design and construction is a primary priority. Windows and building facades, as the critical interface between interior and exterior spaces, play a pivotal role in energy management. This research employs the innovative Climate Studio software to investigate improvements in energy efficiency within a sample public building. The Climate Studio simulation software, with its rapid analysis capabilities, high accuracy, and seamless integration into the design process, significantly aids designers in creating sustainable, human-centered, and intelligent spaces. Findings indicate that the application of smart glass not only regulates real-time daylight but also reduces the annual average daylight intensity from 3,048 lux to 632 lux. By automatically adjusting incoming light in compliance with standards, it effectively prevents disruptive glare. Consequently, the environmental conditions throughout the year remain within the optimal comfort range, leading to a marked reduction in energy consumption. This solution can serve as an effective model for energy optimization in urban buildings.

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