Energy Environment and Economy
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Energy Environment and Economy
Energy, Environment, and Economy is an international, open-access, peer-reviewed journal dedicated to publishing cutting-edge research on the dynamic interrelationship between energy produ
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Energy Environment and Economy
Volume 3 Number 1 2025
Table of Contents
Research Article
Renewable Energy Systems
Md Nazmuddin Moin Khan1*, Sonia Khan Papia2
The study displays that AI-based BESS preparation systems bring better liveliness efficiency and lesser costs while reliability which brands sustainable.
Abstract | Full Text |PDF (258 KB) | Open Access Article
The peer-reviewed and edited version of record published online before inclusion in an issue
These articles have been peer reviewed and accepted for publication. They are still in production and have not been edited, so may differ from the final published form.
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Advances in Recycling and Resource Recovery of Post-Consumer Polyethylene Terephthalate (PET) Waste for Sustainable Waste Management and Circular Economy
Innovative PET recycling methods enhance sustainability by reducing waste, conserving resources, and promoting circular economy goals through mechanical, chemical, and bio-recycling advancements.
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Current Status Overview of CO2 Displacement for Natural Gas Hydrate Recovery and Shale Storage: Physical, Chemical, and Mechanical Effects
CO2 displacement from gas hydrates enables methane extraction while sequestering CO2, offering a sustainable solution for energy and climate challenges
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Transformative Impacts on Economy, Society, and Environment During the Replacement of Conventional Energy with Renewable and Sustainable Alternatives
Identifying barriers to affordability, for government policy support will be essential in ensuring energy transition is equitable and inclusive.
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Accelerating Renewable Energy Deployment as a Cornerstone Strategy for Achieving Net-Zero Emissions
This study places of interest public readiness and policy actions needed to accelerate renewable energy deployment for achieving net-zero emissions.
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Exploring Climate Change Prediction and Mitigation Strategies with Large Language Models (LLM)
The study integrates climate models with language models to improve predictive accuracy, contextual reasoning, and decision-making for climate risk assessment.