Arun Krishna Vuppaladadiyam

Dr. Arun Krishna Vuppaladadiyam

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 March 2023 in Journal of the Energy Institute
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Journal Article
Closed access
Arun Krishna VuppaladadiyamArun Krishna Vuppaladadiyam
Arun Krishna Vuppaladadiyam
SVSai Sree Varsha Vuppaladadiyam
Sai Sree Varsha Vuppaladadiyam
Vineet Singh SikarwarVineet Singh Sikarwar
Vineet Singh Sikarwar
EAEjaz Ahmad
Ejaz Ahmad
KPKamal K. Pant
Kamal K. Pant
SLShao-Yuan Leu
Shao-Yuan Leu

15 January 2018 in ChemSusChem
Verified
Journal Article
Closed access
PDF file
Arun Krishna VuppaladadiyamArun Krishna Vuppaladadiyam
Arun Krishna Vuppaladadiyam
JYJoseph G. Yao
Joseph G. Yao
NFNick Florin
Nick Florin
AGAnthe George
Anthe George
XWXiaoxiong Wang
Xiaoxiong Wang
MZMing Zhao
Ming Zhao

1 February 2021 in Journal of the Energy Institute
Verified
Journal Article
Closed access
SVS.S.V. Varsha
S.S.V. Varsha
Arun Krishna VuppaladadiyamArun Krishna Vuppaladadiyam
Arun Krishna Vuppaladadiyam
FSFarrukh Shehzad
Farrukh Shehzad
HGHosein Ghaedi
Hosein Ghaedi
SMS. Murugavelh
S. Murugavelh
EAElsa Antunes
Elsa Antunes

21 August 2024 in Reviews in Environmental Science and Bio/Technology
Verified
Journal Article
Open access
PDF file
Arun Krishna VuppaladadiyamArun Krishna Vuppaladadiyam
Arun Krishna Vuppaladadiyam
MJManoj Kumar Jena
Manoj Kumar Jena
Ibrahim Gbolahan HakeemIbrahim Gbolahan Hakeem
Ibrahim Gbolahan Hakeem
SPSavankumar Patel
Savankumar Patel
GVGanesh Veluswamy
Ganesh Veluswamy
Kalpit ShahKalpit Shah
Kalpit Shah
Biogas contains significant quantities of undesirable and toxic compounds, such as hydrogen sulfide (H2S), posing severe concerns when used in energy production-related applications. Therefore, biogas needs to be upgraded by removing H2S to increase their bioenergy application attractiveness and lower negative environmental impacts. Commercially available biogas upgradation processes can be expensive for small and medium-scale biogas production plants, such as wastewater treatment facilities via anaerobic digestion process. In addition, an all-inclusive review detailing a comparison of biochar and hydrochar for H2S removal is currently unavailable. Therefore, the current study aimed to critically and systematically review the application of biochar/hydrochar for H2S removal from biogas. To achieve this, the first part of the review critically discussed the production technologies and properties of biochar vs. hydrochar. In addition, exisiting technologies for H2S removal and adsorption mechanisms, namely physical adsorption, reactive adsorption, and chemisorption, responsible for H2S removal with char materials were discussed. Also, the factors, including feedstock type, activation strategies, reaction temperature, moisture content, and other process parameters that could influence the adsorption behaviour are critically summarised. Finally, synergy and trade-offs between char and biogas production sectors and the techno-economic feasibility of using char for the adsorption of H2S are presented. Biochar’s excellent structural properties coupled with alkaline pH and high metal content, facilitate physisorption and chemisorption as pathways for H2S removal. In the case of hydrochar, H2S removal occurs mainly via chemisorption, which can be attributed to well-preserved surface functional groups. Challenges of using biochar/hydrochar as commercial adsorbents for H2S removal from biogas stream were highlighted and perspectives for future research were provided. Graphical abstract

7 February 2022 in Cleaner and Circular Bioeconomy
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Journal Article
Open access
EAElsa Antunes
Elsa Antunes
Arun Krishna VuppaladadiyamArun Krishna Vuppaladadiyam
Arun Krishna Vuppaladadiyam
RKRavinder Kumar
Ravinder Kumar
VVVarsha S.S. Vuppaladadiyam
Varsha S.S. Vuppaladadiyam
ASAjit Sarmah
Ajit Sarmah
TDTewodros Dada
Tewodros Dada

29 May 2026 in Recycling
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Journal Article
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ASAbhishek N Srivastava
Abhishek N Srivastava
Arun Krishna VuppaladadiyamArun Krishna Vuppaladadiyam
Arun Krishna Vuppaladadiyam
RKRakhi P K
Rakhi P K
Christoph PfeiferChristoph Pfeifer
Christoph Pfeifer
AKAjay Kaviti
Ajay Kaviti
Vineet Singh SikarwarVineet Singh Sikarwar
Vineet Singh Sikarwar
Landfilling remains the dominant waste disposal method worldwide, particularly in developing countries, posing serious environmental, health, and climate challenges. Inefficient practices, weak regulations, and un-engineered sites contribute to massive greenhouse gas (GHG) emissions and resource loss. Transitioning to a circular economy (CE) offers a transformative path for sustainable waste management. By closing material loops, recovering energy, urban mining, controlling emissions and CE strategies can convert traditional landfills into eco-efficient systems. The integration of artificial intelligence (AI) further enhances this transition, enabling real-time monitoring, predictive management, and optimized resource recovery, thereby maximizing environmental and economic benefits. This review presents a three-level CE framework at micro (individual organizations), meso (industrial networks), and macro (national and international) levels designed to extract maximum value from waste streams and mitigate climate impacts. The proposed strategies demonstrate the potential to drastically reduce GHG emissions, promote clean energy via waste-to-energy routes, and contribute to SDGs 7, 11, 12, 13 and 15. By combining technology, innovation, and strategic management, this work highlights how AI-driven CE approaches can transform landfills from environmental liabilities into engines of sustainability and climate action. In implementing CE strategies at various levels, various challenges including technological, socio-economic, ethical, policy-based, and unintended consequences are encountered which impact sustainability initiatives. This review comprehensively discusses challenges associated with CE implementation and identifies technological advancement, social awareness and data-driven AI/ML-based modeling which could ensure success in circularity and ultimately curb climate change impacts in the long term.