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Singh M, Singh M, Singh SK. Tackling municipal solid waste crisis in India: Insights into cutting-edge technologies and risk assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170453. [PMID: 38296084 DOI: 10.1016/j.scitotenv.2024.170453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/11/2024] [Accepted: 01/14/2024] [Indexed: 02/05/2024]
Abstract
Municipal Solid Waste (MSW) management is a pressing global concern, with increasing interest in Waste-to-Energy Technologies (WTE-T) to divert waste from landfills. However, WTE-T adoption is hindered by financial uncertainties. The economic benefits of MSW treatment and energy generation must be balanced against environmental impact. Integrating cutting-edge technologies like Artificial Intelligence (AI) can enhance MSW management strategies and facilitate WTE-T adoption. This review paper explores waste classification, generation, and disposal methods, emphasizing public awareness to reduce waste. It discusses AI's role in waste management, including route optimization, waste composition forecasting, and process parameter optimization for energy generation. Various energy production techniques from MSW, such as high-solids anaerobic digestion, torrefaction, plasma pyrolysis, incineration, gasification, biodegradation, and hydrothermal carbonization, are examined for their advantages and challenges. The paper emphasizes risk assessment in MSW management, covering chemical, mechanical, biological, and health-related risks, aiming to identify and mitigate potential adverse effects. Electronic waste (E-waste) impact on human health and the environment is thoroughly discussed, highlighting the release of hazardous substances and their contribution to air, soil, and water pollution. The paper advocates for circular economy (CE) principles and waste-to-energy solutions to achieve sustainable waste management. It also addresses complexities and constraints faced by developing nations and proposes strategies to overcome them. In conclusion, this comprehensive review underscores the importance of risk assessment, the potential of AI and waste-to-energy solutions, and the need for sustainable waste management to safeguard public health and the environment.
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Affiliation(s)
- Mansi Singh
- Department of Zoology, Kirori Mal College, University of Delhi, Delhi, India
| | - Madhulika Singh
- Department of Botany, Swami Shraddhanand College, University of Delhi, Delhi, India
| | - Sunil K Singh
- Department of Chemistry, Kirori Mal College, University of Delhi, Delhi, India.
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Naveenkumar R, Iyyappan J, Pravin R, Kadry S, Han J, Sindhu R, Awasthi MK, Rokhum SL, Baskar G. A strategic review on sustainable approaches in municipal solid waste management andenergy recovery: Role of artificial intelligence,economic stability andlife cycle assessment. BIORESOURCE TECHNOLOGY 2023; 379:129044. [PMID: 37044151 DOI: 10.1016/j.biortech.2023.129044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/06/2023] [Accepted: 04/09/2023] [Indexed: 05/03/2023]
Abstract
The consumption of energy levels has increased in association with economic growth and concurrently increased the energy demand from renewable sources. The need under Sustainable Development Goals (SDG) intends to explore various technological advancements for the utilization of waste to energy. Municipal Solid Waste (MSW) has been reported as constructive feedstock to produce biofuels, biofuel carriers and biochemicals using energy-efficient technologies in risk freeways. The present review contemplates risk assessment and challenges in sorting and transportation of MSW and different aspects of conversion of MSW into energy are critically analysed. The circular bioeconomy of energy production strategies and management of waste are also analysed. The current scenario on MSW and its impacts on the environment are elucidated in conjunction with various policies and amendments equipped for the competent management of MSW in order to fabricate a sustained environment.
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Affiliation(s)
- Rajendiran Naveenkumar
- Biological Systems Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States; Forest Products Laboratory, USDA Forest Service, Madison, WI 53726, United States
| | - Jayaraj Iyyappan
- Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai 602107, India
| | - Ravichandran Pravin
- Department of Biotechnology, St. Joseph's College of Engineering, Chennai 600119. India
| | - Seifedine Kadry
- Department of Applied Data Science, Noroff University College, Kristiansand, Norway; Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, United Arab Emirates; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon
| | - Jeehoon Han
- Department of Chemical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea
| | - Raveendran Sindhu
- Department of Food Technology, TKM Institute of Technology, Kollam, Kerala, India
| | - Mukesh Kumar Awasthi
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province 712100, China
| | | | - Gurunathan Baskar
- Department of Biotechnology, St. Joseph's College of Engineering, Chennai 600119. India; Department of Applied Data Science, Noroff University College, Kristiansand, Norway.
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Yang X, Zhao Y, Zhang L, Wang Z, Zhao Z, Zhu W, Ma J, Shen B. Effects of Torrefaction Pretreatment on the Structural Features and Combustion Characteristics of Biomass-Based Fuel. Molecules 2023; 28:4732. [PMID: 37375287 DOI: 10.3390/molecules28124732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 06/09/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Wheat straw, a typical agricultural solid waste, was employed to clarify the effects of torrefaction on the structural features and combustion reactivity of biomass. Two typical torrefaction temperatures (543 K and 573 K), four atmospheres (argon, 6 vol.% O2, dry flue gas and raw flue gas) were selected. The elemental distribution, compositional variation, surface physicochemical structure and combustion reactivity of each sample were identified using elemental analysis, XPS, N2 adsorption, TGA and FOW methods. Oxidative torrefaction tended to optimize the fuel quality of biomass effectively, and the enhancement of torrefaction severity improved the fuel quality of wheat straw. The O2, CO2 and H2O in flue gas could synergistically enhance the desorption of hydrophilic structures during oxidative torrefaction process, especially at high temperatures. Meanwhile, the variations in microstructure of wheat straw promoted the conversion of N-A into edge nitrogen structures (N-5 and N-6), especially N-5, which is a precursor of HCN. Additionally, mild surface oxidation tended to promote the generation of some new oxygen-containing functionalities with high reactivity on the surface of wheat straw particles after undergoing oxidative torrefaction pretreatment. Due to the removal of hemicellulose and cellulose from wheat straw particles and the generation of new functional groups on the particle surfaces, the ignition temperature of each torrefied sample expressed an increasing tendency, while the Ea clearly decreased. According to the results obtained from this research, it could be concluded that torrefaction conducted in a raw flue gas atmosphere at 573 K would improve the fuel quality and reactivity of wheat straw most significantly.
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Affiliation(s)
- Xu Yang
- School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300401, China
| | - Yaying Zhao
- School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, China
| | - Lei Zhang
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Zhuozhi Wang
- School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300401, China
| | - Zhong Zhao
- School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300401, China
| | - Wenkun Zhu
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Jiao Ma
- School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300401, China
| | - Boxiong Shen
- School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300401, China
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Raza S, Ghasali E, Raza M, Chen C, Li B, Orooji Y, Lin H, Karaman C, Karimi Maleh H, Erk N. Advances in technology and utilization of natural resources for achieving carbon neutrality and a sustainable solution to neutral environment. ENVIRONMENTAL RESEARCH 2023; 220:115135. [PMID: 36566962 DOI: 10.1016/j.envres.2022.115135] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/19/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
The greatest environmental issue of the twenty-first century is climate change. Human-caused greenhouse gas emissions are increasing the frequency of extreme weather. Carbon dioxide (CO2) accounts for 80% of human greenhouse gas emissions. However, CO2 emissions and global temperature have risen steadily from pre-industrial times. Emissions data are crucial for most carbon emission policymaking and goal-setting. Sustainable and carbon-neutral sources must be used to create green energy and fossil-based alternatives to reduce our reliance on fossil fuels. Near-real-time monitoring of carbon emissions is a critical national concern and cutting-edge science. This review article provides an overview of the many carbon accounting systems that are now in use and are based on an annual time frame. The primary emphasis of the study is on the recently created carbon emission and eliminating sources and technology, as well as the current application trends for carbon neutrality. We also propose a framework for the most advanced naturally available carbon neutral accounting sources capable of being implemented on a large scale. Forming relevant data and procedures will help the "carbon neutrality" plan decision-making process. The formation of pertinent data and methodologies will give robust database support to the decision-making process for the "carbon neutrality" plan for the globe. In conclusion, this article offers some opinions, opportunities, challenges and future perspectives related to carbon neutrality and carbon emission monitoring and eliminating resources and technologies.
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Affiliation(s)
- Saleem Raza
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, 321004, Zhejiang, PR China; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, PR China
| | - Ehsan Ghasali
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, 321004, Zhejiang, PR China; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, PR China
| | - Muslim Raza
- Department of Chemistry Bacha Khan University, Charsada, Khyber Pakhtunkhwa, Pakistan; Department of Chemistry, University of Massachusetts Boston, MA, 02125, USA
| | - Cheng Chen
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, PR China
| | - Bisheng Li
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, PR China
| | - Yasin Orooji
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, PR China; Research & Development Department, Shandong Advanced Materials Industry Association, Jinan 250200, Shandong, China.
| | - Hongjun Lin
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, PR China
| | - Ceren Karaman
- Department of Electricity and Energy, Vocational School of Technical Sciences, AkdenizUniversity, Antalya, 07070, Turkey; School of Engineering, Lebanese American University, Byblos, Lebanon.
| | - Hassan Karimi Maleh
- School of Resources and Environment, University of Electronic Science and Technology of China, 611731, Xiyuan Ave, Chengdu, PR China; Department of Chemical Engineering, Quchan University of Technology, Quchan, 9477177870, Iran; Department of Sustainable Engineering, Saveetha School of Engineering, SIMATS, Chennai, 602105, India.
| | - Nevin Erk
- Ankara University, Faculty of Pharmacy, Department of Analytical Chemistry, 06560, Ankara, Turkey
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Manatura K, Chalermsinsuwan B, Kaewtrakulchai N, Kwon EE, Chen WH. Machine learning and statistical analysis for biomass torrefaction: A review. BIORESOURCE TECHNOLOGY 2023; 369:128504. [PMID: 36538955 DOI: 10.1016/j.biortech.2022.128504] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Torrefaction is a remarkable technology in biomass-to-energy. However, biomass has several disadvantages, including hydrophilic properties, higher moisture, lower heating value, and heterogeneous properties. Many conventional approaches, such as kinetic analysis, process modeling, and computational fluid dynamics, have been used to explain torrefaction performance and characteristics. However, they may be insufficient in actual applications because of providing only some specific solutions. Machine learning (ML) and statistical approaches are powerful tools for analyzing and predicting torrefaction outcomes and even optimizing the thermal process for its utilization. This state-of-the-art review aims to present ML-assisted torrefaction. Artificial neural networks, multivariate adaptive regression splines, decision tree, support vector machine, and other methods in the literature are discussed. Statistical approaches (SAs) for torrefaction, including Taguchi, response surface methodology, and analysis of variance, are also reviewed. Overall, this review has provided valuable insights into torrefaction optimization, which is conducive to biomass upgrading for achieving net zero.
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Affiliation(s)
- Kanit Manatura
- Department of Mechanical Engineering, Faculty of Engineering at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand
| | - Benjapon Chalermsinsuwan
- Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330 Thailand
| | - Napat Kaewtrakulchai
- Kasetsart Agricultural and Agro-industrial Product Improvement Institute (KAPI), Kasetsart University, Bangkok 10900, Thailand
| | - Eilhann E Kwon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Wei-Hsin Chen
- Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan; Department of Mechanical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan.
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Zhao J, Wang Z, Li J, Yan B, Chen G. Pyrolysis of food waste and food waste solid digestate: A comparative investigation. BIORESOURCE TECHNOLOGY 2022; 354:127191. [PMID: 35447328 DOI: 10.1016/j.biortech.2022.127191] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 06/14/2023]
Abstract
The effects of anaerobic digestion (AD) on pyrolysis were elaborated by comparing the pyrolysis performance of food waste (FW) and food waste solid digestate (FWSD). The pyrolysis mechanisms of FW and FWSD were revealed by experimental and kinetic analysis. The properties and potential applications of pyrolytic products from FW and FWSD were discussed. The results showed that part of organic matters of FW were consumed during AD, which altered the pyrolysis performance of FWSD. The pyrolytic gas from FW had better quality due to its higher lower heating value (LHV) (20.52 kJ/Nm3). The pyrolytic oil and biochar derived from FWSD showed better qualities as oil fuel and carbon-based absorbent. Pyrolysis of FWSD produced less nitrogen-containing pollutants (NCPs) indicated that AD coupled with pyrolysis is more environmental-friendly to treat FW. This study provides potential approach and theoretical guidance for the treatment and resource utilization of FW and FWSD.
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Affiliation(s)
- Juan Zhao
- School of Environment and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
| | - Zhi Wang
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Jian Li
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China.
| | - Beibei Yan
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China
| | - Guanyi Chen
- School of Environment and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China
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Zhu X, Li S, Zhang Y, Li J, Zhang Z, Sun Y, Zhou S, Li N, Yan B, Chen G. Flue gas torrefaction of municipal solid waste: Fuel properties, combustion characterizations, and nitrogen /sulfur emissions. BIORESOURCE TECHNOLOGY 2022; 351:126967. [PMID: 35272035 DOI: 10.1016/j.biortech.2022.126967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
Flue gas torrefaction (FGT) was proposed as the pretreatment of the municipal solid waste (MSW) combustion process to improve the fuel properties of MSW and achieve better combustion performance. The optimal FGT parameters were obtained at 300 ℃ and 30 min, with the energy-mass co-benefit index (EMCI) reaching the maximum of 23.38. FGT could significantly increase the heating value and energy density of MSW while reducing the H/C and O/C ratio. Then, the pyrolysis and combustion experiments were performed by tube furnace and TG-MS. The results proved the chemical compositions of MSW were altered, and the heat transfer was enhanced. With FGT, NOx and SO2 emissions could be reduced by 25.7 % and 52.4 %, respectively. This study provides an in-depth understanding of the mechanism of FGT and paves the way for the clean treatment and energy utilization of MSW.
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Affiliation(s)
- Xiaochao Zhu
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Songjiang Li
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Yonggang Zhang
- CECEP Green Carbon Environment Protection, Beijing 100082, China
| | - Jian Li
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Ziqiang Zhang
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; CECEP Green Carbon Environment Protection, Beijing 100082, China
| | - Yunan Sun
- School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China
| | - Shengquan Zhou
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China.
| | - Ning Li
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Beibei Yan
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin 300072, China
| | - Guanyi Chen
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China; Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin 300072, China; School of Science, Tibet University, Lhasa 850012, China
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