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Enterprise production energy consumption process analysis and optimization technology for green manufacturing
Manufacturing enterprises are coupled and optimized to achieve energy conservation, emission reduction, and efficient production.
Type
Software
Tags
Industrial energy conservation
Manufacturing
Big data
Internet
Data drilling
System engineering methodology
Energy efficiency assessment
Solution maturity
Mass promotion / Mass production
Cooperation methods
Overall transfer
Applicable industry
Manufacturing
Applications
Energy conservation and emission reduction
Key innovations
The innovation of this product lies in its coupled analysis and optimization concept of "four streams in one"(energy, materials, information, emissions).
Potential economic benefits
This technology provides production scheduling solutions for energy conservation and emission reduction through coupled analysis and intelligent optimization of production and energy processes, significantly reducing energy consumption and production costs. Optimize energy utilization and production efficiency, enable enterprises to achieve more economical and greener production models and enhance market competitiveness.
Potential climate benefits
This technology uses deep coupling analysis of production and energy processes and uses intelligent optimization algorithms to directly improve energy efficiency. Optimizing production scheduling can significantly reduce equipment energy consumption and reduce energy consumption, thereby directly reducing carbon emissions in industrial production processes.
Solution supplier
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Tongji University
Tongji University
Tongji University: The national "double first-class" construction university uses advantageous disciplines such as civil engineering, architecture, transportation, and environment to cultivate innovative talents to serve national construction and sustainable urban development.
Shanghai,China
Solution details

1. Project Introduction

Provide coupling analysis and optimization functions of production process and energy process. Establish a coupled process model of production and energy. Through model simulation, we simulate the coupling association of energy flow, material flow, information flow and emission flow, and use intelligent optimization algorithms to provide an optimized scheduling plan for production process for energy conservation and emission reduction. Specific functions include: production and energy process modeling, model simulation, simulation result analysis, and scheduling scheme optimization.

Technical features:

(1) Comprehensive analysis and optimization of energy system based on "four streams in one"

The production process is accompanied by the energy consumption process, and the two interact and influence each other. The production-energy coupled system is a complex system formed by the coupling of energy activities and production activities. Compared with general production systems, it emphasizes the impact of energy flow on production activities. The core idea of the system is "four streams in one". The "four streams" are energy flow, material flow, information flow and emission flow. "Integration" has two meanings. From the perspective of the physical structure of the production system, the "four-stream" is the connection link between various production equipment in the production process system. The construction and operation of the "four-stream" reflect the integrated idea of the entire production process; From the perspective of energy analysis and optimization, the tight coupling characteristics between the "four streams" are obvious, and the performance of the energy stream is directly affected by other three streams. The comprehensive analysis and optimization of the energy system must be based on the unified analysis and overall optimization of the "four streams".

(2) Energy consumption process analysis and optimization technology based on hybrid PETRI network

A production energy consumption process modeling technology based on hybrid PETRI net is proposed to describe the interactive behaviors of energy flow, material flow, information flow and emission flow in the production process. Use the model to intuitively understand the generation paths of energy flow, material flow, emission flow and information flow in the production process. Simulate the complex coupling relationship of energy flow, material flow, information flow and emission flow in the production process system to reveal important factors affecting energy utilization in the production process.

(3) Intelligent optimization technology for production optimization scheduling

Based on simulation, the genetic algorithm and intelligent optimization method are used to incorporate energy efficiency indicators into the production plan optimization schedule while considering the delivery date. With the purpose of improving energy efficiency, optimize the coordinated operation of energy flow, material flow, information flow and emission flow.

2. Project industrialization prospects and application fields

Through visual modeling, dynamic simulation, optimization scheduling and other functions, it provides analysis and optimization functions of the coupled process of enterprise production and energy consumption, revealing the coupling effect of energy flow, material flow, information flow and emission flow; Through optimization model selection and optimization simulation, enterprises are provided with an optimal production scheduling decision plan for energy conservation and emission reduction, which reduces the energy consumption of typical energy-consuming equipment, and realizes optimal production scheduling based on energy constraints throughout the process, thereby improving energy utilization. Suitable for manufacturing enterprises of all sizes and production characteristics.

3. Expected cooperation methods and investment

Adopt industry-university-research cooperation method.

Two-year investment: 2 million yuan, focusing on adopting the industry-university-research cooperation model to promote and apply software systems, and customize software systems according to the actual needs of enterprises.
Last updated
09:50:04, Nov 05, 2025
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