How do people set air conditioning temperature setpoint in urban domestic–Behavior model in Chinese three climate zones based on historical usage data

Lyu, Junmeng; Li, Jinbo; Zhao, Zisheng; Miao, Xiongwei; Du, Heng; Lai, Dayi; Yang, Yuxin; Lian, Zhiwei

doi:10.1016/j.enbuild.2023.112856

Cited by 7 publications

(2 citation statements)

References 53 publications

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“…Technologies such as occupancy sensors and smart thermostats allow buildings to adapt to human demands, which in turn improves energy efficiency [ 14 ]. According to Lyu et al [ 15 ], these studies also highlight the integration of renewable sources and energy consumption optimization in sustainable building design through the Internet of Things. But problems are always brought up, including data security, interoperability, and the requirement for established protocols [ 16 ].…”

Section: Research Organizationmentioning

confidence: 99%

Research on sustainable green building space design model integrating IoT technology

Wang,

Liu

2024

PLoS ONE

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"How can the integration of Internet of Things (IoT) technology enhance the sustainability and efficiency of green building (G.B.) design?" is the central research question that this study attempts to answer. This investigation is important because it examines how green building and IoT technology can work together. It also provides important information about how to use contemporary technologies for environmental sustainability in the building sector. The paper examines a range of IoT applications in green buildings, focusing on this intersection. These applications include energy monitoring, occupant engagement, smart building automation, predictive maintenance, renewable energy integration, and data analytics for energy efficiency enhancements. The objective is to create a thorough and sustainable model for designing green building spaces that successfully incorporates IoT, offering industry professionals cutting-edge solutions and practical advice. The study uses a mixed-methods approach, integrating quantitative data analysis with qualitative case studies and literature reviews. It evaluates how IoT can improve energy management, indoor environmental quality, and resource optimization in diverse geographic contexts. The findings show that there has been a noticeable improvement in waste reduction, energy and water efficiency, and the upkeep of high-quality indoor environments after IoT integration. This study fills a major gap in the literature by offering a comprehensive model for IoT integration in green building design, which indicates its impact. This model positions IoT as a critical element in advancing sustainable urban development and offers a ground-breaking framework for the practical application of IoT in sustainable building practices. It also emphasizes the need for customized IoT solutions in green buildings. The paper identifies future research directions, including the investigation of advanced IoT applications in renewable energy and the evaluation of IoT’s impact on occupant behavior and well-being, along with addressing cybersecurity concerns. It acknowledges the challenges associated with IoT implementation, such as the initial costs and specialized skills needed.

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Section: Research Organizationmentioning

confidence: 99%

Research on sustainable green building space design model integrating IoT technology

Wang,

Liu

2024

PLoS ONE

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“…For example, one way to influence behavior is by utilizing temperature setpoint data and appliance usage information to inform how lowering the setpoint or replacing appliances with more energy-efficient ones can reduce energy. Lyu et al (2023). In addition, incorporating social network dynamics into behavior models can lead to significant energy savings, as studies have shown that social interactions between building occupants play a significant role in energy consumption Peschiera and Taylor (2012).…”

Section: Designmentioning

confidence: 99%

IoT-enabled user agency for building sustainability

Dieng

Shangguan

Biehl

et al. 2023

Front. Internet Things

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Buildings are a significant source of greenhouse gas emissions, and many organizations recognize that reducing commercial building-related emissions is crucial to achieving a carbon-neutral future. However, leveraging state-of-the-art building energy-efficiency techniques can be expensive and require installing new equipment, resulting in only a small percentage of energy-efficient commercial buildings. To address this challenge, our paper focuses on empowering building occupants to become informed change-makers that drive building efficiency through an IoT-based solution. By leveraging the data collected from low-cost sensors, we envision creating personalized dashboards and interventions for individuals, fostering energy transparency and empowering people to optimize their space usage while reducing emissions. Moreover, we can leverage human flexibility and flexible environments to further improve space usage and realize energy and emissions reduction opportunities. Thus, by enabling human-building interaction, our approach will be more effective in achieving the full potential of reducing energy and emissions in existing buildings.

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Where should the thermal image sensor of a smart A/C look?-Occupant thermal sensation model based on thermal imaging data

Lyu

Zhao

et al. 2023

Building and Environment

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How do people set air conditioning temperature setpoint in urban domestic–Behavior model in Chinese three climate zones based on historical usage data

Cited by 7 publications

References 53 publications

Research on sustainable green building space design model integrating IoT technology

Research on sustainable green building space design model integrating IoT technology

IoT-enabled user agency for building sustainability

Where should the thermal image sensor of a smart A/C look?-Occupant thermal sensation model based on thermal imaging data

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