Moving Towards Electrified Waste Management Fleet: State of the Art and Future Trends

Tommaso Bragatto, Mohammad Ghoreishi (), Francesca Santori, Alberto Geri, Marco Maccioni, Mostafa Jabari and Huda M. Almughary
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Tommaso Bragatto: Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy
Mohammad Ghoreishi: Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy
Francesca Santori: ASM Terni S.p.A., Via Bruno Capponi 100, 05100 Terni, Italy
Alberto Geri: Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy
Marco Maccioni: Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy
Mostafa Jabari: Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy
Huda M. Almughary: Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy

Energies, 2025, vol. 18, issue 8, 1-36

Abstract: Efficient waste management remains critical to achieving sustainable urban development, addressing challenges related to resource conservation, environmental preservation, and carbon emissions reduction. This review synthesizes advancements in waste management technologies, focusing on three transformative areas: optimization techniques, the integration of electric vehicles (EVs), and the adoption of smart technologies. Optimization methodologies, such as vehicle routing problems (VRPs) and dynamic scheduling, have demonstrated significant improvements in operational efficiency and emissions reduction. The integration of EVs has emerged as a sustainable alternative to traditional diesel fleets, reducing greenhouse gas emissions while addressing infrastructure and economic challenges. Additionally, the application of smart technologies, including Internet of Things (IoT), artificial intelligence (AI), and the Geographic Information System (GIS), has revolutionized waste monitoring and decision-making, enhancing the alignment of waste systems with circular economy principles. Despite these advancements, barriers such as high costs, technological complexities, and geographic disparities persist, necessitating scalable, inclusive solutions. This review highlights the need for interdisciplinary research, policy standardization, and global collaboration to overcome these challenges. The findings provide actionable insights for policymakers, municipalities, and businesses, enabling data-driven decision-making, optimized waste collection, and enhanced sustainability strategies in modern waste management systems.

Keywords: municipal waste optimization; circular economy; smart technologies; artificial intelligence; electric vehicles; carbon emission reduction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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