Synergies for sustainability: Renewable energy, urban planning, and green industry in carbon emission reduction
Year: 2025
Type: article
Abstract: This study addresses global carbon emission reduction by integrating renewable energy, urban sustainability, and green industry practices. It highlights the necessity of a holistic approach to tackling carbon footprints, emphasizing renewable alternatives like wind and solar energy alongside sustainable urban planning strategies, such as green roofs, solar energy, and electric vehicle use. Industrial transitions focusing on carbon capture and storage (CCS) and circular economies are essential for reducing emissions. The research underscores the interconnectedness of these strategies, advocating for cross-sectoral collaboration to drive sustainable development. Through data-driven analysis, the study advocates for aligning economic growth with environmental sustainability, promoting a low-carbon economy. The study also examines the significance of integrating renewable energy, urban planning, and industrial transformations to establish a comprehensive emission reduction system. Practical recommendations are provided for policymakers, urging the implementation of comprehensive, integrated strategies that balance ecological responsibility with economic growth. Additionally, the study utilizes predictive modeling, using Long Short-Term Memory (LSTM) neural networks to forecast CO₂ emissions trends, ensuring a robust tool for future decision-making. This research aims to provide actionable insights for reducing global carbon footprints, contributing to sustainable urban development, the adoption of renewable energy and green industry practices.
Source: Sustainable Futures
Authors: Sivajothi Ramalingam, Waqed H. Hassan, M. Subramanian, M․Ijaz Khan, Dalia H. Elkamchouchi, Nainaru Tarakaramu, K.K. Prashanth
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,340
OpenAlex ID: W4413845236
