Abstract
Buildings design and operation are responsible for occupant comfort. Buildings facades and walls can be engineered to control solar energy for photovoltaic electricity generation, daylighting, heating, ventilation, thermal insulation, and energy storage. Adaptive facades and intelligent walls integrate real-time control technologies to adapt to the occupant’s requirements and preferences. Data transmission and information control in the modern building are gaining increasing importance. Implementing wireless network systems based on wireless communication technologies and protocols with low energy demand is crucial. This paper presents the simulation of wireless networks based on Bluetooth Low Energy (BLE) transmission nodes with an energy harvesting system solution. The results showed the performance of the wireless sensor network model toward the solar energy harvesting solution.
Highlights
Building Energy utilization represents 30% to 40% of the worldwide energy interest
In this study we developed a Wireless sensor networks (WSNs) with an energy harvesting solution using Matlab and studied the system’s performance
The findings revealed that Bluetooth Low Energy (BLE) used very little energy and had a good energy per bit sent ratio
Summary
Building Energy utilization represents 30% to 40% of the worldwide energy interest. With the growing population, limiting energy utilization has become essential for environmental issues. Automation actions in the building, like fixing the indoor environmental conditions (temperature, humidity) according to the user preference, turning lights on and off without human intervention, tracking home consumable products, improving the overall comfort, and making life easier All these processes require collecting data from a distributed array of sensors. WSN in building automation are expected to use a large number of nodes, even in simple applications like light and shutter switches with not many temperature sensors per room will cumulate in around a hundred rooms to thousands of nodes within the entire building[8]. Implementing these networks in traditional prototyping and adjusting is not the right path, rather than network simulation and modeling. In this study we developed a WSN with an energy harvesting solution using Matlab and studied the system’s performance
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