| Abstrakt: |
The objective of the project is to implement a renewable power system to supplement a building's heating and cooling energy requirements with advanced control methods to increase its efficiency, particularly in areas with vast renewable resources. However, regardless of the selected renewable generating method, the resources are usually intermittent. The inverter used in this system will convert power obtained from wind and solar energy into power that can be controlled and monitored through the Internet of Things. Our proposed model is Internet of Things-enabled solar smart inverter that communicates with the user and equipment via Wi-Fi technology. The user is informed about the amount of solar power, wind power, battery SoC, and power utilized by the load from the battery. And we can switch to one of many sources, which depends on the amount of power consumed by the load. With the help of a mobile application, the user may regulate the linked load remotely. This will improve human comfort while allowing more efficient energy use. The heating, ventilation, and air conditioning (HVAC) systems will provide heating and cooling to commercial and residential buildings. The chilled water pipe across the building carries chilled water that takes care of providing heating, ventilation, and air conditioning to the building. The chilled water flow response is determined via flow sensors and differential pressure sensors at various set-point temperatures. From the chilled water pump system response, Siemens Logo PLC with inbuilt TDP and Compared to other embedded and conventional PLC controllers, the advanced ladder logic algorithm-based PLC tuning approach has provided improved set-point altering and tracking capacity. Our experience backs up the hypothesis that the Siemens logo algorithm-based optimum tuning has benefits over all other controllers. [ABSTRACT FROM AUTHOR] |
