This project belongs to a key topic in the field of smart grid power consumption technology.
With the acceleration of urbanization and the continuous improvement of people's living standards, the proportion of urban building energy consumption continues to increase, gradually becoming the focus of urban power grid energy efficiency management and power demand response. By establishing an application service platform for energy conservation and energy efficiency supervision of large-scale public buildings in low-carbon Urban area, the project provides full-process technical means such as energy consumption monitoring, energy efficiency diagnosis, energy use optimization, and energy-saving effect evaluation and prediction for existing large-scale public buildings. It can support docking with the demand response platform, and on this basis, it explores coordination and optimization methods and refined strategies for peak-shifting indicators of building groups.
2. Key innovation points
This project proposes theoretical methods for energy efficiency management and demand response such as analysis of commercial users 'electricity consumption behavior characteristics, demand response load reduction calculation, breaks through core technologies such as online diagnosis and prediction of building energy conservation, and building group demand response strategies, and develops large-scale building energy efficiency data collection terminal and energy efficiency management platform, established an urban power grid demand response platform with large buildings as the main feature, and implemented large-scale building energy efficiency management and control demonstration applications and demand response pilots. The main innovations include:
(1) The electricity consumption characteristics of commercial users are analyzed based on big data methods, a correlation analysis method based on a complex network model for typical commercial users 'electricity consumption characteristics is established, and a user baseline load that considers the nonlinear effects of high temperature accumulation, high temperature and low temperature and rainfall is proposed. The estimation method lays a theoretical foundation for the implementation of large-scale building demand-side management projects.
(2) Propose a building energy conservation measurement and verification method based on itemized measurement data and a comprehensive energy efficiency diagnosis algorithm for buildings, establish a building energy consumption combination prediction model, and develop an energy efficiency management and control platform, covering more than 480 large buildings in Shanghai City. The monitoring load is 515 MW.
(3) Developed a demand response platform, adopting interconnection and plug-and-play technology of building energy efficiency data collection terminals. At the same time, it proposed a new model to introduce load integrators into demand response operations of large domestic buildings, and implemented large-scale building demand response pilots., verified the ability of large buildings to reduce peak loads by 10-15%.
3. technical and economic indexes
(1) Energy efficiency collection terminal: It has the function of collecting and transmitting power parameters of electrical equipment; the data concentrator is updated every 30 seconds; local data storage time is more than 30 days; self-test is carried out every 15 minutes and self-test information is uploaded.
(2) Energy efficiency management and control platform: It can manage more than one million energy efficiency monitoring point data; building branch energy consumption can be modeled within 1 minute; it has functions such as energy efficiency data management, energy conservation diagnosis, and energy consumption prediction.
(3) Demand response platform: It realizes information interaction with power companies for dispatch and control, with power service providers, etc., and monitors the demand response execution process; power load plan generation can simultaneously support 100 buildings to complete within 1 minute.
4. Intellectual Property and Promotion
This project has obtained a total of 3 authorized invention patents, 3 utility models, 3 invention patents, obtained 11 software copyrights, published 14 high-level academic papers (including 4 SCI/EI papers and 10 core Chinese papers), published 1 monograph, and formed 2 standards and specifications.
The energy efficiency management and control platform developed based on this project has been widely used in large buildings and buildings in Baoshan, Hongqiao Development Zone, Jing 'an, Changning, Huangpu and other regions. The demand response platform developed has been piloted by the Shanghai City Government and State Grid Shanghai City Electric Power Company.
5. economic and social benefits
(1) Economic benefits: The direct economic benefits of this project are 21.2275 million yuan.
(2) Social benefits: This project directly promotes energy conservation and emission reduction work in Shanghai City, and the series of terminal equipment and platform software developed can be replicated and promoted. The successful exploration of a new model of demand response peak-shifting has provided a new way to ensure the safe operation of the power grid and reduce investment in the distribution network.