Abstract

Environmental sustainability concerns are ever-growing, placing pressure on individuals and communities worldwide to reduce their carbon footprint effectively. This review paper queried literatures as per real-time monitoring energy use-carbon footprint relationships; as a promising tool for combating climate change. The paper investigated several promising real-time evaluation processes, frameworks, tools, and systems used in the literatures and discussed the potential implications of implementing such systems in different sectors like transportation, manufacturing, and residential. Thus, the review revealed that Real-time carbon footprint assessment based on energy consumption offers a promising avenue for quantifying and managing carbon emissions. It also provided valuable insights into the current state of the field and research prospects such as machine learning, artificial intelligence and advanced sensor-networks techniques for sector-specific models; and emphasized the importance of advancing real-time assessment methodologies. Conclusively, this paper provides comprehensive review, thus providing thorough understanding of real-time carbon footprint assessment, paving way for future research and practical applications in the pursuit of a more sustainable and environmentally conscious society; and promotion of informed decisions in carbon neutrality efforts.

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