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Green Planning of IoT Smart Environments

机译:IOT智能环境的绿色规划

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摘要

The advancement of renewable energy infrastructure in smart buildings (such as photovoltaic) has highlighted the importance of self-consumption, which is the act of using local renewable energy to run IoT-enabled devices (e.g., HVAC, EV charging, white appliances) at the time the energy is produced. In countries with a high kg CO2 per kWh factor, this effectively reduces CO2 pollution but also contributes to the stabilization of the energy grid. User comfort preferences are often expressed in the form of Rule Automation Workflows (RAW), which are software rules as to when and how IoT appliances must operate to allow custodians reach their convenience levels, as opposed to self-consumption directives. The objective of this Ph.D. research is to extend the IoT Meta- Control Firewall’s (IMCF) functionalities to bridge this gap and balance the trade-off between convenience, energy consumption and CO2 emissions in satisfying the RAW pipelines of users.
机译:智能建筑中可再生能源基础设施(如Photovoldataic)的进步突出了自我消费的重要性,这是使用当地可再生能源运行启用物联网设备的行为(例如,HVAC,EV充电,白具)能量产生的时间。在高公斤CO的国家 2 每千瓦时因子,这有效地减少了CO 2 污染也有助于稳定能源网格。用户舒适偏好通常以规则自动化工作流(RAW)的形式表示,这是关于IOT设备必须操作的软件规则,以允许托管人达到其便利性水平,而不是自我消费指令。这个博士学位的目标。研究是扩展IOT元控制防火墙(IMCF)功能,以弥合这一差距,平衡便利,能源消耗和合作之间的权衡 2 满足用户原产化管道的排放。

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