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In the book Big Data Era: The Great Changes in Life, Work, and Thinking, Victor Meyer Schonberger pointed out that the information storm brought by big data is transforming our lives, work, and thinking. Big data has revolutionized a major era.
For the photovoltaic industry, PV big data is like a gold mine that has been gradually excavated. Through its acquisition, management, analysis and application, its potential value is gradually injecting new impetus into the development of the photovoltaic industry. Planning and design, construction and acceptance, monitoring and control, operation and maintenance and management, asset valuation and trading of photovoltaic projects.
Photovoltaic big data
The “big†of PV big data refers to the wide range of PV data involved on the one hand, and the number of PV data involved on the other.
The narrowly defined photovoltaic data refers to the monitoring data of the real-time operation of the photovoltaic power plant acquired by the data collector. Broadly speaking, PV data should refer to all relevant data in the life cycle of PV power plants (planning and design, construction and acceptance, monitoring and control, operation and maintenance and management, asset valuation and trading), including not only the real-time operation of PV power plants. Monitoring data should also include radiation data, meteorological data and geographic data, as well as policy information, bank loan interest rates and power purchase agreements.
PV big data + analysis / simulation
Both Geostellar and SolarGIS are leaders in the field of "photovoltaic big data + analysis / simulation". Geostellar provides users with the design, financing, installation and maintenance of photovoltaic power plants through its online data analysis and search system. It hopes to become the largest solar energy search engine in the industry, Google in the solar market; SolarGIS is comprehensive and accurate. Radiation information, meteorological information and geographic information, establish solar radiation forecasting and photovoltaic power forecasting, provide users with solar energy assessment and photovoltaic data simulation services, and are "the best solar energy pre-tools".
1 "Solar Resource Search Engine" - Geostellar
Geostellar connects photovoltaic equipment suppliers and terminal home users and is an online B2C platform for photovoltaic equipment. Geostellar's core competency lies in its online data analysis and search system (Solar Project Record). The data analysis and search system mainly consists of two parts: Geostellar'Date and SolarSimulation.
(1) Geostellar'Date
Geostellar'Date is data obtained or purchased from third parties, mainly including local radiation intensity, radiation direction, radiation duration and other radiation information; local meteorological information such as local temperature and rainfall; local geographical information such as topography and slope; local Electricity consumption statistics, electricity price fluctuations, typical user samples and other electricity information; local PV subsidy policy and other policy information; local bank loan interest rates, leasing or power purchase agreements and other financial information; and PV equipment suppliers provide PV Equipment parameters and prices, PV equipment installer charges and other information.
(2) Solar Simulation
Based on the underlying data provided by Geostellar'Date, Geostellar first uses basic meteorological information and geographic information to evaluate the potential of solar power generation in different locations, and then provides reference to PV equipment suppliers, and gives solar panel cost estimates and load curves. , equipment configuration and installation design, etc., and finally calculate the investment required to install photovoltaic equipment and the energy efficiency that can be generated by the local government's subsidy policy, bank-provided payment plan, lease or power purchase agreement.
The essence of Geostellar is to earn the difference as a middleman between the home user and the PV equipment supplier. The purpose of establishing an online data analysis and search system is to provide users with a data reference. Users only need to enter the corresponding information in the search bar of the Geostellella webpage to get the design scheme of home photovoltaics, photovoltaic equipment suppliers and payment methods provided by Geostellar. By establishing an online B2C platform connecting photovoltaic equipment suppliers and terminal home users, providing one-stop services such as design, financing, installation and maintenance of photovoltaic power plants, and affecting user choices, thereby ultimately guiding the realization of photovoltaic equipment transactions. carry out.
2 “The best solar energy pre-tool†– SolarGIS
Based on its own PV database, SolarGIS provides developers with solar resource assessment and PV data simulation services through scientific algorithm calculation, simulation and analysis. It is an online B2B platform that provides PV data services. Unlike Geostellar, SolarGis is not aimed at home users, but commercial-grade users. It only relies on providing solar energy assessment and photovoltaic data simulation services for developers or investors to make profits, without involving the design of photovoltaic power plants. Financing, installation and maintenance, etc., will not provide PV equipment suppliers to users like Geostellar.
(1) SolarGIS database
As a tool for solar energy resource assessment and photovoltaic data simulation, SolarGIS's basic data elements are particularly important. The basic data of SolarGIS is obtained by satellite remote sensing, GIS (Geographic Information System) technology and advanced scientific algorithms, which can ensure the accuracy and accuracy of the data. These basic data mainly include: GHI (horizontal total radiation), DNI (normal direct radiation) and DIFF (scattered radiation) radiation information; 2 meters temperature, relative humidity, pressure, average wind speed at 10 meters, wind direction, and Meteorological information such as the amount of precipitation developed; geographic information such as altitude, surface inclination angle, surface azimuth, surface vegetation, and population density.
(2) SolarGIS interactive tools
SolarGIS combines high-resolution radiation information, meteorological information and geographic information to create algorithms for solar radiation prediction and photovoltaic power generation forecasting, which can output GHI, DNI, DIFF and temperature up to 14 years with a time resolution of 30 minutes. The time series can further simulate the power generation performance and power generation of the photovoltaic power station. SolarGIS mainly provides four software tools with interactive features, iMaps, climData, pvPlanner and pvShot.
iMaps is a high-resolution interactive solar radiation map that contains the average of long-term solar radiation and temperature, and can be used as a feasibility study, location and optimization tool for PV stations.
climData provides solar radiation (global, diffuse and direct radiation) and other meteorological data from any region.
pvPlanner is a high-performance simulation and reporting tool for photovoltaic projects. Users only need to input the parameters of the PV system and set the horizon parameters to realize the pre-production evaluation and performance comparison of the PV system, and output the standard report in PDF format.
pvShot performs energy pre-production assessment, performance efficiency assessment and error detection for a single PV plant based on real-time solar resource and temperature data.
The essence of SolarGIS is a database of radiation data, meteorological data and geographic data. The user can log in to the SolarGIS interactive interface through the network, input coordinates or geographic location, and obtain the radiation data and meteorological data of the place; on this basis, input the installed capacity, component type, reduction factor, installation mode, and azimuth angle. The dip angle and the automatic calculation of the optimal dip angle series of options can be used to simulate the performance of the PV plant and the capacity estimation, and generate an analysis report to provide a reference for investors or developers.
In summary, although both Geostellar and SolarGis are “analytical/simulation tools†for PV pre-data, their business models, service content, object-oriented, profit model and PV data used are different. Among them, the Geostellar model has been adopted for some domestic PV platforms, such as Taoke's “Photovoltaic Treasure + PV Passenger†platform; SolarGis was also rated as one of the top 10 highlights in the 6th International Solar Energy Industry and Photovoltaic Engineering (Shanghai) Exhibition. One and began to provide services to Chinese customers.
PV big data + monitoring / diagnosis
The "Guiding Opinions on Actively Promoting "Internet +" Actions" issued by the State Council recently pointed out that "advancement of energy production is intelligent" and "encourage energy enterprises to apply big data technology to equipment status and energy load." Analyze and forecast data, conduct precise scheduling, fault judgment and predictive maintenance, improve energy efficiency and safe and stable operation level; build distributed energy network, build intelligent power operation monitoring and management technology platform, and make power equipment And the electric terminal is based on the Internet for two-way communication and intelligent regulation, realizing timely and effective access of distributed power, and gradually building an open and shared energy network.
For the photovoltaic field, to realize the digitization and intelligence of photovoltaic equipment, it is necessary to establish a set of efficient and stable photovoltaic power station by using computer software technology, computer network technology, remote real-time monitoring technology, remote diagnosis technology, communication technology, etc. Remote monitoring/diagnostic system to provide technical support for the normal operation and maintenance of PV power plants. As a collector of photovoltaic power plant operation data, the sensor can realize the digitization of photovoltaic equipment and increase its intelligent sensing and communication capabilities. Further sensors will upload the collected PV data to the cloud through the Internet for unified storage and management, and then carry out in-depth analysis, mining and prediction through big data technology, and finally realize the visualization of PV data. “Photovoltaic big data + monitoring/diagnosis†can provide useful data for scientific research of photovoltaic systems; it can improve the operation level of photovoltaic power plants, thereby reducing the operation and maintenance costs of photovoltaic enterprises, and improving the power generation efficiency of photovoltaic power plants; Business processes, so that the resources and activities of the production process are reasonably arranged, thereby improving the economic efficiency and market competitiveness of the enterprise.
The following three domestic typical "photovoltaic big data + monitoring / diagnosis" platform will be analyzed one by one: smart photovoltaic cloud iSolarCloud4.0, green power network SmartPV and Apollo photovoltaic cloud platform.
1 Smart Photovoltaic Cloud iSolarCloud4.0
On April 1, 2015, Alibaba Cloud and Sunshine Power announced a strategic cooperation agreement and released its fourth-generation power plant operation and maintenance management system - "Smart PV Cloud iSolarCloud4.0". Sunshine Power relies on the operation and maintenance experience of its 1,500 PV power plants and the big data base, and provides the computing, storage and network connectivity capabilities of massive data through Alibaba Cloud, making “Smart PV Cloud iSolarCloud†a refined PV power plant operation and maintenance management. The platform can realize real-time operation data monitoring, automatic management, power plant equipment failure warning, remote expert consultation and big data analysis, revenue settlement, knowledge base construction and other functions of photovoltaic power station; in addition, combined with weather environment data, photovoltaic power generation capacity can be realized. Precise prediction.
As the largest PV inverter supplier in China, Sunshine Power can directly integrate PV data collectors into PV inverters, which means that Sunshine will directly master the “terminal†of PV data monitoring. And after reaching a strategic cooperation with Alibaba Cloud, you can rely on Alibaba Cloud's leading cloud computing service platform to quickly enter the PV data cloud model. However, due to Sunshine Power as an inverter supplier, it lost its third-party identity in the photovoltaic field. The third-party identity is indispensable for the supervision of the future operation and maintenance management of photovoltaic power plants and the enhancement of the financial properties of power plants.
2 Green Power Network SmartPV
Green Power Network is a third-party photovoltaic power station monitoring data service platform under the Taoke network. It was launched in May 2010 and is one of the earliest on-line PV monitoring cloud platforms in the world. Through the remote monitoring of 1.5GW photovoltaic power plants in 15 countries including China, the United States and Japan, we have accumulated rich experience in PV monitoring and operation. Through the PV data collector, the users of the green power grid can monitor the real-time operational data of the PV power plant statistics, including today's real-time power generation, yesterday's power generation, real-time power plant efficiency, power generation per kilowatt and power plant status graph; when photovoltaic equipment fails The fault reminder can be obtained; when the equipment is offline, the intelligent offline warning can be obtained; in addition, based on the in-depth analysis of the photovoltaic data, the power generation quantity prediction and the photovoltaic system evaluation can also be performed.
As a service provider that provides early monitoring of PV power plant data, Amoy has accumulated rich experience in remote monitoring of photovoltaic power plants and has opened up international markets. Its third-party identity in the field of photovoltaics ensures the fairness of PV data monitoring, which is conducive to dispel the doubts of PV power plant owners to connect the power station to the platform. However, the function of its PV platform needs to be expanded. As more companies enter the field of PV data monitoring, they will face greater competition.
3 Apollo Photovoltaic Cloud PlatformTM
With the help of big data and high-performance computing technology and the rich operation and maintenance experience of the wind farm, in December 2014, Vision launched its photovoltaic power plant management cloud platform in the form of cloud service: Apollo Photovoltaic Cloud PlatformTM. Apollo Photovoltaic Cloud PlatformTM integrates four functions of real-time monitoring of power stations, power station operation and maintenance management, power station development and design, and power station investment management. After the PV power plant project is connected, Apollo Photovoltaic Cloud PlatformTM can provide customers with data analysis services, data acquisition, intelligent monitoring, health checkup, power generation forecasting, performance benchmarking, loss analysis, fault warning, etc. for each power station. . At the same time, Apollo Photovoltaic Cloud PlatformTM also provides risk control services for investors, conduct asset risk assessment and risk rating for each power station, and comprehensively evaluate the overall performance of the power station.
Vision Energy's Apollo PV cloud platform is developed on the basis of its wind power platform. Its rich experience in operation and maintenance of wind power will help its development in the field of photovoltaics. In addition, the vision has a massive data analysis engine that can quickly achieve big data analysis, and its excellent data analysis capabilities will play an increasingly important role in the future development. Moreover, Vision Energy does not enter any manufacturing stage in the photovoltaic field. The identity of its third-party big data platform ensures that data collection, analysis, display and monitoring are transparent and fair. However, due to the establishment of its platform, it still needs market test and user recognition, and needs to accumulate experience in PV data monitoring.
In summary, the above three types of photovoltaic power station monitoring + diagnostic platform are all imported into the various types of photovoltaic data through the data collector, and presented in a visual way to achieve real-time monitoring of photovoltaic power plants, energy efficiency management, power quality improvement, safe operation and operation. Dimensional management, etc., provide guidance for power station operation and maintenance personnel, provide remote diagnostic services and decision support data for PV power plant owners; on this basis, deep exploration and analysis of the monitored PV data can be used as analysis and development of the PV industry. The data reference is of great significance to the future revenue growth, asset evaluation and risk control of PV power plants. Through the monitoring, diagnosis and analysis of photovoltaic data, the photovoltaic power station will open the intelligent mode of “big data driveâ€.
PV big data + scheduling / market
The acquired PV big data, this is a huge gold mine, its value needs to be deepened to release, and further promote the development of the photovoltaic industry. Here, try to make a small outlook from the possible applications of photovoltaic big data in power dispatching, demand side response management and power market.
1 PV big data + power dispatch
According to the draft of the “2015 National PV Annual Plan Newly Grid-connected Scale†issued by the National Energy Administration, the scale of new PV power generation in the country will reach 15GW in 2015. As the proportion of photovoltaic power generation in power generation is getting higher and higher, the current status of power generation data monitored by photovoltaic power plants is only needed for regular operation and maintenance and measurement pricing. Through real-time power generation data monitoring of photovoltaic power stations, photovoltaic power generation data is involved in real-time power dispatching of the entire power grid, which provides a reference for energy consumption and energy production allocation.
The following is an example of the eclipse of the German grid in this year to illustrate the participation of photovoltaic data in power dispatching.
On March 20, 2015, the most influential eclipse since 1999 was from 07:40 to 11:50 UTC affecting the whole of Europe. The reduction of solar radiation will directly affect the power generation of photovoltaic power generation systems and affect the safe operation of European power systems. The eclipse has a particularly strong impact on the German power grid. On the one hand, Germany has a large installed capacity of photovoltaics – the capacity of photovoltaic power plants installed in Europe is 77 million kilowatts, and 39 million kilowatts in Germany; on the other hand, the rate of power generation of photovoltaic power plants is fast when eclipses occur – when eclipses occur, The power generation capacity of German photovoltaic power plants will vary from 12 to 19 million kilowatts. This change is not surprising in itself. The same is true for sunrise and sunset every day, but the reason why the eclipse is different from the sunset and sunrise is because the rate of change of the capacity of the power station is extremely high during the solar eclipse, which is easy to impact the power grid. . With its solid real-time PV data monitoring platform, PV Leistung inDeutschland, Germany can monitor its photovoltaic power generation in real time in the country, which not only gives the photovoltaic power generation capacity during the solar eclipse, but also responds to the German power grid. The eclipse provides a solid basis for power dispatching.
2 PV big data + demand response
"Several Opinions on Further Deepening the Reform of the Power System" will "actively carry out power demand side management and energy efficiency management, improve orderly power consumption and save electricity use system" as an important part of the five basic principles, clearly "to apply modern Information technology, fostering electric energy services, implementing demand response, etc., promoting supply and demand balance and energy conservation and emission reduction." The second supporting document of the new power reform released on April 9th ​​- "Notice on Improving the Electric Power Emergency Mechanism to Do a Comprehensive Pilot Work on the Power Demand Side Management City", aimed at the power demand side and further clarifying the power demand side management Technical support tools - power demand side management platform, and the use of market-based means and Internet thinking to promote the participation of the whole society in the demand side.
In this context, photovoltaic power plants and distributed PV projects should also actively participate, and cooperate with demand side response management to improve energy efficiency. By integrating photovoltaic big data to form an analysis engine, it provides real-time monitoring and real-time data analysis of photovoltaic power plants, and accordingly responds to users' demand response management, guiding users to use more electricity during peak photovoltaic power generation, and less electricity when photovoltaic power generation is low. Power supply efficiency, optimized power usage. In addition, based on the PV big data monitoring and analysis engine, more business models can be generated, such as energy-efficient building design and smart home appliance design, analysis and utilization of photovoltaic big data provided by photovoltaic power stations to provide accurate electricity forecasting. At the same time of saving electricity, it also manages where to send electricity, where electricity can be connected to the grid. Through cooperation with demand side response management, photovoltaic power generation can dynamically allocate production, transmission and consumption on demand to achieve efficiency, energy saving and emission reduction.
3 PV big data + electricity market
In March 2015, the “Several Opinions on Further Deepening the Reform of the Power System†was issued on the 9th Document of the Electricity Reform. According to Wang Qiang, inspector of the National Development and Reform Commission, the focus and path of further deepening the reform of the power system is to further improve the system of separation of government and enterprise, separation of factories and networks, separation of main and auxiliary, and in accordance with the system of managing the middle and releasing the two ends. The framework, orderly release the price of competitive links other than transmission and distribution, orderly release the distribution of electricity business to social capital, and orderly release the power generation plan other than public welfare and regulation.
The new power reform has liberalized the power-selling side, and it is possible for PV power plants and distributed PV operators to transform into power-selling entities. By focusing on the acquisition of distributed photovoltaic and photovoltaic power generation, on the basis of obtaining a sales license, PV operators are involved in the sale of electricity, which will create new profit growth points for PV operators. Due to the bidding of photovoltaic power generation, it will have a certain impact on electricity prices. At this time, real-time monitoring of photovoltaic power generation data will be particularly important. The real-time power generation data will directly affect the electricity price, and further affect the revenue of the PV operator (the main body of electricity sales).
However, the country has not yet issued a sales license for the relevant private enterprises, and everything is waiting for the "wind"!
As a resource, PV data will not be reduced in value because it will be used. Instead, it will produce and release higher value by being mined and used. Through the collection, analysis and mining of photovoltaic big data, the photovoltaic industry will enter the intelligent development model driven by big data.
Where is the development direction of PV big data?
Lu Jianzhou, CEO of Taoke Network: What is the future pattern of PV big data application? It is still in the process of exploration. As a new thing, PV big data, from emergence to acceptance, requires a market cultivation time, about two to three years. As a member of this industry, Amoy also needs to make various attempts to open the application interface of green power grid photovoltaic big data for 2018 in order to cultivate the market of photovoltaic big data applications, and also to explore itself with an open mind. The direction of development.
At the beginning of the development of the industry, companies need an open mind, rather than considering monopoly resources from the beginning, which is not conducive to the development of the entire industry. For example, Amoy is committed to providing customers with third-party testing and standardization services, while some companies are focused on providing personalized services to businesses. In fact, this is also the upcoming feature of the future PV big data industry, which is the business segmentation. Every company has to do their own areas to be able to better meet the needs of customers. Customers have the demand, PV big data will have business, and can develop rapidly.
In the photovoltaic industry, especially the development of distributed photovoltaics to this stage, what is lacking is the extension of data mining and application. In fact, the monitoring and analysis of data can play a negative role in promoting the industry. Moreover, PV big data is not limited to the photovoltaic field. This big data application service can also be extended to other fields, such as power big data. This is a larger field, including power generation and electricity sales. One of the development directions of data companies.
Summary Introduction: The cakes of photovoltaic power plants make third-party data companies eager to move. In this field, there are Huawei, Sunshine Power, which has its own inverter, and also has the data operation and maintenance, the early layout of the market, the company, the Amoy, and the rising talents and the vision energy. Recently Amoy...
Introduction: The cake of the photovoltaic power station makes the third-party data companies ready to move. In this field, there are Huawei, Sunshine Power, which has its own inverter, and also has the data operation and maintenance, the early layout of the market, the company, the Amoy, and the rising talents and the vision energy. Recently, Amoy announced that it will open data for free, which is making the competition in this field more and more heated. In fact, PV data monitoring is a mature market abroad. Today, the author exclusively deals with the business model of PV big data at home and abroad.