Optimizing energy supply superstructure for plastic waste gasification systems: minimizing life cycle environmental impacts with AI models

Keyphrases

• Energy Optimization 100%
• Energy Supply 100%
• Global Warming Potential 100%
• Life Cycle Environmental Impact 100%
• Gasification System 100%
• AI Models 100%
• Plastic Waste Gasification 100%
• Machine Learning Models 66%
• Path Programming 66%
• Carbon Dioxide 33%
• Environmental Impact 33%
• Programming Problems 33%
• Feature Analysis 33%
• Plastic Waste 33%
• Water Electrolysis 33%
• Optimization Strategy 33%
• Optimal Energy 33%
• Renewable Energy 33%
• Resource Scarcity 33%
• Environmental Indicators 33%
• Environmental Objectives 33%
• Energy-driven 33%
• Mixed Integer Nonlinear Programming Model 33%
• Surrogate Model 33%
• Waste-to-energy Systems 33%
• Multiple Fuels 33%
• Fossil Resources 33%
• Methanol Synthesis 33%
• Environmental Categories 33%
• Plastic Waste Valorization 33%
• Environmental Optimization 33%
• Valorization Process 33%
• Fuel Alternative 33%
• Carbon Capture Technology 33%
• Surrogate Model-based Optimization 33%
• Model Hyperparameters 33%
• Concurrent Optimization 33%
• Carcinogenic Toxicity 33%

Engineering

• Lifecycle 100%
• Gasification System 100%
• Global Warming Potential 100%
• Waste Gasification 100%
• Artificial Intelligence 100%
• Superlattice 100%
• Energy Supply 100%
• Surrogate Model 66%
• Learning System 66%
• Carbon Dioxide 66%
• Water Electrolysis 33%
• Optimization Strategy 33%
• Waste to Energy 33%
• Fossil Resource 33%
• Methanol Synthesis 33%
• Carbon Capture and Storage 33%
• Energy Systems 33%
• Alternative Fuel 33%
• Waste Valorization 33%
• Programming Model 33%
• Renewable Energy 33%

Chemical Engineering

• Artificial Intelligence 100%
• Learning System 100%
• Carbon Dioxide 100%
• Gasification 100%
• Methanol Synthesis 50%
• Renewable Energy 50%
• Electrolysis 50%