IoT‐enabled dependable control for solar energy harvesting in smart buildings

Abstract

Efficiency and reliability have been essential requirements for energy generation in smart cities. This study presents the design and development of dependable control schemes for microgrid management, which can be seamlessly integrated into the management system of smart buildings. Here, to recover from failures in the solar energy system of a building microgrid, dependable controllers are proposed along with their hardware implementation. The system features the use of Internet of Things (IoT) as its core to coordinate the operation of multiple subsystems in a scalable manner. The control scheme uses a number of controllers cooperatively functioning via a token-based mechanism within the network to provide redundancy and thus reliability in solar tracking. The system exploits data from not only local in-situ sensors but also online sources via IoT networks for fault-tolerant control. Experiments conducted in a 12-storey building indicate that the harvested solar energy meets the design requirement while the control reliability is maintained in face of communication or hardware disruptions. The results confirmed the validity of the proposed approach and its applicability to energy management in smart buildings.

Smart building trend, role, and position: a systematic literature review

“…20 keywords and ranks 1 of all keywords. Internet of things 12 [12], [21], [27], [34], [39] [52]- [55], [57], [59], [62], 02 Machine learning 11 [12], [37], [44], [45], [48], [54], [57], [62], [64], [70], [80]…”

Wireless Sensor Network Dependable Monitoring for Urban Air Quality

“…It is quite often that dependable systems requires a level of redundancy, spatially or temporally, depending on the relation to sensing or communications and control. For example, the dependable control and management of solar energy in a smart building made use of redundancy in the quad controllers [18]. In wireless sensor networks, redundancy has been exploited to increase data accuracy, sensing reliability, system lifetime and security [19].…”

IoT-Enabled Wireless Sensor Networks for Air Pollution Monitoring with Extended Fractional-Order Kalman Filtering

“…The monitoring process is controlled and updated to the gateway regularly to manage the operation of sensor modules through W-DepC scheme [ 22 ], whereby a so-called “switching” mechanism is designed to minimize a quadratic function based on its energy state to select the most reliable sensor module in each sensor mote [ 21 ]. At an instant, this mechanism triggers only one active module.…”