Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Energy carbon emission optimization prediction method and device based on multiple constraints

A prediction method and carbon emission technology, applied in the field of power system, can solve problems such as lack of characterization of the power field, limitation of model adaptability and accuracy, and inability to satisfy multiple constraints at the same time

Pending Publication Date: 2022-07-26
STATE GRID ZHEJIANG ELECTRIC POWER
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the models for forecasting energy and carbon emissions mainly include the long-term energy alternative planning econometric model (LEAP model for short) and the scalable stochastic environmental impact assessment model (STIRPAT model for short). From the principles of the LEAP model and the STIRPAT model, the two models There is no detailed description of the power field
The input is not flexible enough, the calculation process is not transparent enough, and the output result is single. It cannot meet the multiple constraints of economic, energy, power, and carbon planning goals at the same time, which limits the adaptability and accuracy of the model.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Energy carbon emission optimization prediction method and device based on multiple constraints
  • Energy carbon emission optimization prediction method and device based on multiple constraints
  • Energy carbon emission optimization prediction method and device based on multiple constraints

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Terminology Explanation:

[0038] Total energy consumption refers to the total amount of various energy consumed by various industries of the national economy and households in a certain period in a certain area. Including: primary energy such as raw coal, crude oil, natural gas, water energy, nuclear energy, wind energy, solar energy, geothermal energy, biomass energy; secondary energy such as coal washing, coke, gas, electricity, heat, refined oil and other secondary energy generated through processing and conversion of primary energy and other products produced at the same time; other fossil energy, renewable energy and new energy, etc. The total energy consumption is obtained through the comprehensive energy balance statistical accounting, that is, the method of compiling the energy balance sheet. During the accounting process, primary energy and secondary energy consumption cannot be counted repeatedly. The total energy consumption is divided into three parts: te...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an energy carbon emission optimization prediction method and device based on multiple constraints, and the method comprises the steps: obtaining historical data in a targeted manner according to an energy carbon emission prediction demand, carrying out the corresponding processing, and optimizing an energy carbon emission prediction model; obtaining various government planning and power planning files, and determining an energy carbon emission planning constraint condition and the input and prediction quantity and the output and process calculation quantity of the energy carbon emission prediction model; and performing optimization prediction on the input and prediction quantity and the output and process calculation quantity according to an energy carbon emission planning constraint condition so as to realize optimization prediction of energy carbon emission. According to the method, energy power is taken as a main perspective, economy, energy, power and carbon emission are comprehensively planned to meet multiple target constraints set by planning, and multiple targets set by a planning file are taken as constraint conditions through input and pre-measurement, output and process measurement; analysis and prediction are carried out for industry-based economic development, variety-based power generation structures, terminal and primary energy consumption, energy-related carbon emission and the like.

Description

technical field [0001] The present application relates to the technical field of power systems, and in particular, to a method and device for optimizing and predicting energy carbon emissions based on multiple constraints. Background technique [0002] Achieving carbon peaking and carbon neutrality is an extensive and profound economic and social transformation. It is necessary to adhere to a systematic concept, clarify timetables, roadmaps, and construction drawings, and promote economic and social development based on the efficient use of resources and green and low-carbon development. on the basis. Among them, "carbon peak" is the basic premise, and "carbon neutrality" is the ultimate goal. For carbon peaking, it is intertwined with factors such as economic growth, industrial development, energy and power supply, and ecological civilization construction. It is a complex systematic project. Under normal circumstances, the government will formulate national economic and s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06311G06Q50/06
Inventor 孙可宋春燕邹波翁华周煜智王宏钧陈家乾孙轶恺王蕾兰洲戴攀王曦冉周盈朱超胡哲晟刘曌煜王坤黄晶晶张曼颖谷纪亭杨黎
Owner STATE GRID ZHEJIANG ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products