Development And Application Of Cloud Service Platform For Solar PVT Heat Pump Thermal Power And Cooling Integrated Energy Station

In the face of increasingly serious resource and environmental problems,solar energy has the characteristics of long-term,clean,safe and huge quantity,and has an important strategic position.Among the solar energy utilization technologies,the solar photovoltaic photothermal integration(PVT)technology has developed rapidly and has broad application and development prospects.In recent years,the combination of PVT technology and heat pump unit has realized the comprehensive energy output of system power generation,heating and cooling,which can be called a solar PVT heat pump thermoelectric cooling integrated energy station.At present,most solar projects do not have monitoring systems,which leads to the lack of original data for the operation of the solar system,which is not conducive to the optimization of the system and the improvement of solar energy utilization.The development of Internet of things and web technology greatly facilitates the establishment of remote monitoring platform.Based on the Internet of things and b/s software architecture,this paper develops a cloud service platform for the comprehensive management of PVT energy stations in different locations,which has the functions of real-time monitoring,energy measurement,performance evaluation,alarm push,etc.This paper mainly includes the following parts:First of all,combined with the problems existing in the current solar monitoring platform and the development purpose of the platform,this paper defines the development needs and architecture.Secondly,the data transmission and storage system of the cloud service platform of the solar PVT heat pump thermal power and cooling integrated energy station is established.Based on the Internet of things,this paper chooses MQTT protocol for data transmission.In terms of data storage,this paper selects My SQL database and designs data tables such as user information,PVT energy station information,operation data,alarm configuration,alarm records,etc.Use the gateway to send the sensing data of the PVT energy station to the MQTT proxy server through the 4G network,and then use the Java language to write the MQTT client program to store the data on the proxy server into the MySQL database that has been designed.Thirdly,the software design of the cloud service platform of the solar PVT heat pump thermoelectric cooling integrated energy station is completed.The software design of this paper adopts the front-end and back-end separation mode.It has designed and implemented functions such as user login,map navigation,system overview,real-time data display,history query,energy conservation and emission reduction benefit display,platform management and alarm push settings.It has also completed the deployment of the platform on Alibaba cloud server and realized remote access.Finally,this paper takes the PVT energy station of the physical fitness training center of Dalian University of technology as an example to access the cloud platform for monitoring.The monitoring results show that the PVT energy station has significant energy conservation and emission reduction benefits.Finally,using the operation data collected by the cloud platform,BP neural network is used to predict the productivity of the system.The results show that the relative error of the prediction of PVT power generation,PV power generation and heating capacity of the system in a period of time is less than 10%.It can be seen that the use of BP neural network can help users better predict the capacity of PVT energy station in a period of time.