5 research outputs found

    Design of intelligent power consumption optimization and visualization management platform for large buildings based on internet of things

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    The buildings provide a significant contribution to total energy consumption and CO2 emission. It has been estimated that the development of an intelligent power consumption monitor and control system will result in about 30% savings in energy consumption. This design innovatively integrates the advanced technologies such as the internet of things, the internet, intelligent buildings and intelligent electricity which can offer open, efficient, convenient energy consumption detection platform in demand side and visual management demonstration application platform in power enterprises side. The system was created to maximize the effective and efficient the use of energy resource. It was development around sensor networks and intelligent gateway and the monitoring center software. This will realize the highly integration and comprehensive application in energy and information to meet the needs with intelligent building

    Integrating Li-Fi Wireless Communication and Energy Harvesting Wireless Sensor for Next Generation Building Management

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    Wireless sensors have been increasingly utilized in the design of next generation high performance buildings. When deploying wireless sensors, energy supply and data communication are the major concerns. Although energy harvest wireless sensors could automatically feed themselves by harvesting ambient energy, the presence of reliable energy sources to support dependable wireless transmission is a great challenge. The emerging Li-Fi technology is promising to fundamentally solve this problem. Li-Fi stands for Light-Fidelity, which is a new kind of wireless communication systems using light as a medium instead of traditional radio-frequency electromagnetic radiation. Li-Fi technology provides harvested energy to power wireless sensors with a unique advantage of power generation from the lighting system being controlled. The combination of Li-Fi and energy harvesting wireless sensor technologies could enable attractive features and bring in great benefits in the design of next generation high performance buildings because: (i) energy harvest sensors do not face the short-of-energy problem; (ii) Li-Fi enables much higher transmission speed compared to the existing RF electromagnetic technologies, thus, energy harvest sensors could easily deliver environmental parameters quickly for control purposes; (iii) energy harvest sensors could assist the building management team to understand the coverage area of the lighting system; (iv) the communication of sensor aggregated information can be naturally encrypted due to the combination of both technologies

    ENVIRONMENTAL THERMAL ENERGY SCAVENGING POWERED WIRELESS SENSOR NETWORK FOR BUILDING MONITORING

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    ABSTRACT: In recent years there has been increasing interest in innovative design and construction of sustainable highperformance buildings. Among the innovative techniques proposed to increase building performance is to dynamically sense, control and manage the ambient building environment, such as temperature, humidity, air quality, artificial lighting, etc. through the installation of a distributed wireless sensor network (WSN). It has been reported that such an intelligent building monitor and control system can result in an approximately 20% savings in energy usage, a substantial step toward the realization of smart building management. In conventional WSNs, battery power is used to energize these micro-scale sensors. The small space permitted for battery integration in these miniaturized systems is a limiting factor. The small battery will be quickly depleted requiring frequent battery replacement or the WSN system will cease operation. Frequent battery replacement is impractical due to the tremendous number of sensor nodes embedded in a typical WSN system. This key design challenge in WSN based building monitoring and control must be overcome in order to significantly prolong the life of the overall system operation. In this paper, the authors investigate the construction of a novel WSN system for intelligent building environment monitoring powered through the use of micro-scale thermoelectric generators (TEG). In the TEG, the ambient thermal gradient between two surfaces of the device is converted into electrical energy. To verify the feasibility of the proposed idea, an experiment was conducted and the results demonstrated the concept of harvesting ambient thermal energy to power wireless sensors
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