Navigation
CN Inquiry +86-0535-6722555
Shandong Jerei Digital Technology Co., Ltd.
Industry-level Virtual Power Plant
It features various functions like intelligent perception, data analysis, optimized scheduling, market trading, security assurance, and visual management. By collecting distributed energy data and data from user sides, it applies algorithmic models for in-depth analysis and formulates precise scheduling strategies, and participates in electricity market trading for profit while ensuring grid stability. It extends equipment lifespan by utilizing a cybersecurity protection system and intelligent operation and maintenance, and it taps into energy-saving potential through meteorological and behavioral predictions, and ultimately presents an overall operational status on the visual interface, providing comprehensive support for efficient energy integration and intelligent upgrades in the industry.
免费使用
Home Home > Smart Energy Management >

Industry-Level Virtual Power Plant

Current Situation Analysis

Facing stricter policies on emission reduction and inefficient old management models, there is a need for systematic breakthroughs to resolve energy consumption issues.
Technological Innovation and Breakthroughs
The maturity of 5G communication, artificial intelligence, and blockchain technologies makes it possible for real-time monitoring and precise scheduling of massive distributed resources in a virtual power plant.
Market Mechanisms and Profit Models
The National Development and Reform Commission and the National Energy Administration are promoting the transition of virtual power plants from “invitation-based subsidies” to “market transactions” through policies such as electricity spot market rules and carbon trading mechanisms.
Policy Support and Development Opportunities
Related policies have clarified the market participation mechanism, technological innovation, and capital introduction development paths for virtual power plant, which provided an institutional guarantee for its development.
User Participation and Market Scale
Users’ enthusiasm are affected by problems like high thresholds for user-side resource participation, and ambiguous definition of rights and responsibilities after the aggregation of dispersed resources.

Value Empowerment

Integrating energy resources and intelligent management, we can achieve efficiency improvement, cost reduction, and emission reduction.
  • Shandong Jerei Digital Technology Co., Ltd.
    Energy utilization efficiency improved by 20%
    Through an intelligent perception and regulating system, and integrating distributed energy and industrial electricity loads, we can achieve precise distribution and efficient utilization of energy, and enhance the overall energy use efficiency.
  • Shandong Jerei Digital Technology Co., Ltd.
    Energy management costs reduced by 15%
    By utilizing data analysis and forecasting algorithms to optimize energy scheduling and trading strategies, we can reduce unnecessary energy procurement and operating cost.
  • Shandong Jerei Digital Technology Co., Ltd.
    Carbon reduction benefits significantly increased by 25%
    Through large scale usage of renewable energy, combined with the intelligent management system, we can accurately monitor and analyze carbon emissions, and help enterprises achieve energy-saving and emission reduction goals.
  • Shandong Jerei Digital Technology Co., Ltd.
    Equipment reliability and lifespan increased by 10%
    By leveraging real-time monitoring and intelligent diagnostic technology, potential equipment issues can be detected in advance so that maintenance can be performed in time to reduce failure rates and extend equipment lifespan.

Core Functions

Real-time monitoring and precise control, optimal configuration of energy storage scheduling, and stable operation and maintenance support.
Intelligent aggregation of multi-source energy data
Intelligent aggregation of multi-source energy data
Equipped with various intelligent sensors and monitoring devices, real-time data can be collected accurately on the power generation status of distributed energy sources (such as solar energy, wind energy, small hydropower station, energy storage systems) as well as electrical load data and equipment operating conditions on the industrial user side. These vast and heterogeneous multi-source data are consolidated in a data center for subsequent usage for energy management.
Multi-factor real-time energy scheduling decision-making
Multi-factor real-time energy scheduling decision-making
Based on advanced algorithms and models, we can make in-depth analysis of the collected energy data, combined with various factors such as grid load demand and price fluctuations in energy market, and formulate optimal energy scheduling strategies in real time. For example, during peak hours for electricity usage, we can rationally allocate the discharge of energy storage systems and adjust the output of distributed energy resources to ensure grid stability and reduce electricity cost.
Virtual power plant electricity trading optimization
Virtual power plant electricity trading optimization
Through building an interface to connect with the electricity market trading platform, we can participate in electricity spot trading, facilitate services market trading, etc., based on the virtual power plant's energy income and expenditure situation and market rules. The system smartly analyzes market price trends, optimizes trading decisions, and maximize the market profits for the virtual power plant, while ensuring compliance and security of the trading process.
Comprehensive O&M for the safety of virtual power plant
Comprehensive O&M for the safety of virtual power plant
Through establishing a comprehensive cybersecurity defense system to prevent threats such as hacker attacks and data breaches, it can ensure the stable operation of the virtual power plant system. At the same time, it enables remote monitoring and fault diagnosis of energy equipment so that we can promptly identify and resolve equipment anomalies. With the intelligent operation and maintenance measures, we can extend the equipment's lifespan and reduce the operation and maintenance cost.
Energy forecast and user energy saving analysis
Energy forecast and user energy saving analysis
By utilizing meteorological data prediction and energy production forecast models, we can accurately predict the power of distributed generation, and proactively plan energy production and related scheduling schemes. In addition, we can also conduct in-depth analysis of user electricity consumption behaviors to explore energy-saving potential, and provide users with useful energy optimization suggestions to assist enterprises in achieving energy conservation, emission reduction, and sustainable development goals.
Virtual power plant visualized operation and decision making
Virtual power plant visualized operation and decision making
Through creating an intuitive and visual operation interface to display the overall operating status of the virtual power plant, including key indicators of energy production, transmission, consumption, and specific information of each distributed energy unit, the operation and maintenance personnel can monitor these information in real-time, and quickly respond to anomalies; meanwhile it can also provide a data dashboard with clean presentation of the operational efficiency and development trends of the virtual power plant, which facilitates the decision-making of the management team.
Customer Success Stories

行业资讯

快速了解行业动态、把握市场趋势

Related Solutions

Based on the digital twin technology and our in-house developed J3D engine, we provide customers with a full-scenario energy management system solution.
Park-Level Smart Zero-Carbon Management
Read More >
Enterprise-Level Green Energy Management
Read More >
Feedback
Jerei Our Official WeChat
Live Chat
Telephone consultation
+86-0535-6722555

Weekdays：09:00-23:00

Weekends：10:00-20:00