item background

The company was founded in 1957 and now has 12 subsidiaries. The entrepreneurial process has become a large private enterprise group integrating scientific research and development, manufacturing, and global trade.

On September 10, 2020, the 2020 China Top 500 Private Enterprises list was released, ranking 103rd.

 Facing problems

• large power scale

The park covers an area of several square kilometers, and is stationed in many industries such as textile and clothing, rubber tires, and biomedicine. The characteristics are different, and its annual electricity consumption exceeds 300 million kWh.

• Multiple energy forms

State grid 35kV power supply; self-built thermal power plant; distributed photovoltaic; large-scale energy storage.

• Complicated inventory system

There are multiple sets of existing DCS systems; distribution network ECS/SCADA systems; multiple sets of photovoltaic systems; energy storage systems; access There are more than 100,000 monitoring points.

• Unique feed-in tariff

There is no national grid subsidy for the surplus power of thermal power plants connected to the grid, and no income.

 Solution

• Collect "sending, transmitting, distributing and using" data

Integrate and collect the original thermal power plant, city power, heating-related energy pipeline network and data in the park, and also integrate the new distribution in recent years Energy data such as photovoltaics and energy storage systems are integrated and accessed, and modeled on the energy big data basic access platform.

• Connect to various energy pipe networks, data sharing

Access tens of thousands of telemetry data and Thousands of remote signaling data.

• on-demand collection, data multi-dimensional support

On the user side, according to the actual situation, install the edge computing gateway to install smart meters or collect relevant data from existing meters.

• Global energy data analysis, continuous optimization of operation strategy

Based on the data of electric energy production and consumption and heat energy production and consumption, AI artificial intelligence, big data and other technologies are introduced, and specific constraints are imposed. Establish load and power generation forecasting models.

 Item Value

• Economic value

1) Energy efficiency increased by 1.5 million yuan. The prediction accuracy of power generation of thermal power plants has been improved, and the self-sufficiency rate of the park has been increased from the original 85% to 95%-99%. Energy cost savings of about 1.5 million yuan/year.

2) Solar energy storage income of 750,000 yuan. The smart micro-grid system improves the overall peak-shaving and valley-filling capacity of the optical-storage system by 20%, saving the optical-storage system about 750,000 yuan per year.

3) Labor savings of 240,000 yuan. The platform provides automatic meter reading tools, reducing the number of electric meter reading personnel and thermal meter reading personnel by 4 per year, saving about 240,000 yuan per year.

• Social benefits

1) Reduce carbon emissions by 2,920 tons. Additional carbon dioxide emissions will be reduced by about 2,920 tons/year.

2) Reduce energy consumption by 1123 tons. An additional reduction of energy consumption of about 1123 tons of standard coal per year.

3) The response time is shortened to 15 minutes. Load Forecasting and Dispatch Forecasting adjusts power plant and grid dispatch efficiency from planning 7 days in advance to responding 15 minutes in advance.

4) Demonstration park effect. As the "Park Demonstration Project" of the State Grid, it has played a demonstration effect.