Project information:

With Yancheng identified as a model city for smart energy, and a demonstration zone for energy production and consumption revolution, the project aims to provide solutions for the open, comprehensive management of energy data for all parts of the local new energy industry chain through comprehensive monitoring of energy supplies, energy usage and energy-consuming equipment.

The Smart Energy Big Data Center is designed to offer centralized monitoring of all stages of energy production, transmission, and consumption in Yancheng City, and integrate the data of the entire industry chain in the energy market. It helps Yancheng show the world its achievements in smart energy, clean energy distribution and commitment as a cleaner, digital and intelligent city pursuing green energy innovation and development. The platform relies on the advanced technologies of IoT, big data, and AI, as well as mature solutions for data processing, display, and analysis, to build a smart energy big data center. It supports the access of heterogeneous information from a variety of sources, including equipment manufacturing, urban planning, rail transit, smart building, and smart water. This allows for the access, storage, presentation and intelligent analysis and application of production and operation data of all new energy power stations across Yancheng. It provides users with a full range of services, through the collection of abundant energy information, real-time monitoring and control, and unified scheduling. Based on the new management model of smart operation, it monitors the city¡¯s energy operation in real time, providing smart city management that features advanced control and multi-level coordination.

Benefits for customers

Based on the applications provided by the smart energy big data platform, the center delivers four-in-one services that integrate the government, power generation, power grids, and energy consumption, by means of data and software. From the power generation side, it provides operations monitoring, equipment management, data analysis, fault diagnosis, reliability management, O&M management, offshore O&M scheduling, meteorological resource management, wind power prediction, optical power prediction, etc. for offshore and land-based wind power, photovoltaic power stations and energy storage. Conversely, the energy consumption side may utilize energy consumption analysis, energy scheduling, energy transaction analysis and other services. At the same time, the resources of both the government and power grids can be integrated for comprehensive management.

Through the qualitative and quantitative analysis of energy production, transmission and utilization, the center can generate models for the assessment of demand response potential. At the same time, by studying ways of comprehensive multi-energy scheduling and operation, it offers platform operators operating models for different purposes, including integrated energy services, transaction regulation, platform sharing and value-added services.

Thanks to its digital and intelligent empowerment, the smart energy big data platform is believed to create higher commercial value for all stages of energy use, from source, grid, load, to storage. Specifically, it increases equipment availability, reduces power generation costs, and provides data support for corporate decision-making by optimizing unit operation strategies and reducing unit downtime for power generation companies (source); provides power visualization services for power grids (grid), improves power quality, and optimizes scheduling strategies to enhance their emergency capabilities; offers energy users (load) smart energy analysis, to reduce costs on energy consumption, production and operation, and provides decision-making basis for these enterprises to adjust industrial structures and optimize energy structures; and promote the optimal allocation of power resources via energy storage (storage), improves energy utilization, avoids energy waste arising from power shortages and other reasons, and fills the power supply-demand gap during peak hours, for higher stability and safeguarding of local power supplies.