Article
Chemistry, Physical
Abdelmoumin Yahia Zerga, Muhammad Tahir, Hajar Alias
Summary: A ternary heterojunction of waste sewage sludge (WSS) with sludge metals anchored over g-C3N4 nanorods showed significantly improved photocatalytic H2 evolution under visible light. The presence of oxidized and other metals in WSS promoted charge carrier separation, leading to a maximum H2 yield of 195 μmol/h·g. The formation of a heterojunction, effective charge carrier separation, and synergistic effects of multiple elements in WSS contributed to the enhanced photocatalytic activity.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Thermodynamics
Adam Smolinski, Natalia Howaniec
Summary: The paper presents the results of a systematic study on the co-gasification of sewage sludge blends with biomass waste using oxygen and steam. The experiments showed that gasification of sewage sludge alone was ineffective, but co-gasification with selected biomass resulted in higher gas production and better gas composition.
Article
Environmental Sciences
Malgorzata Wzorek
Summary: The paper presents the results of drying biofuels from sewage sludge using solar energy. The study showed that drying biofuels in a 10-cm thick layer is beneficial, especially in spring and fall. In summer, all biofuels can reach moisture content below 10% after an average of 4 days.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Thermodynamics
Huan Liu, Ibrahim Alper Basar, Cigdem Eskicioglu
Summary: Hydrothermal liquefaction (HTL) is a technology that converts waste biomass into a biofuel known as biocrude. This study found that more than 64% of energy could be recovered as biocrude from mixed primary and secondary sludge under HTL conditions. The study also identified concerns about the accumulation of heavy metals in hydrochar, one of the waste streams generated by the HTL process.
Article
Chemistry, Physical
Muhammad Abdullah Khan, Salman Raza Naqvi, Syed Ali Ammar Taqvi, Muhammad Shahbaz, Imtiaz Ali, Muhammad Taqi Mehran, Asif Hussain Khoja, Dagmar Juchelkova
Summary: In this study, air gasification of sewage sludge was conducted in a lab-scale bubbling fluidized bed gasifier. The gasification process was modeled using artificial neural networks to predict the hydrogen production from product gas composition at various temperatures and equivalence ratios.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Environmental
Yunhao Xu, Qizi Fu, Wenming Wang, Fan Yang, Xuemei Li, Fengming Song, Yanguang Qing, Ziqi Lin, Weiqi Long, Dongbo Wang
Summary: In this study, it was found that the addition of calcium peroxide (CaO2) changed the distribution of sulfur during sludge anaerobic treatment, resulting in increased sulfur flow from the solid phase to the liquid phase and reduced production of toxic hydrogen sulfide (H2S) gas. Mechanism analysis revealed that CaO2 destroyed functional groups and hydrogen bonding networks in sludge EPS, leading to the cracking of EPS and release of soluble metal ions. These findings provide new insights into CaO2-based sludge treatment and its implications for sludge treatment.
CHEMICAL ENGINEERING JOURNAL
(2023)
Review
Environmental Sciences
Md. Abdul Moktadir, Jingzheng Ren, Jianzhao Zhou
Summary: This systematic literature review comprehensively analyzes existing tannery sludge valorization processes to develop sustainable energy recovery solutions. The findings indicate a focus on chromium recovery, pyrolysis, anaerobic co-digestion, and solidification, with gasification and biodiesel/biofuel production remaining largely unexplored. The review also highlights the absence of important aspects such as process optimization, exergy and energy analysis, and techno-economic assessment. Future studies should concentrate on these aspects to understand the feasibility and environmental benefits of various valorization technologies and develop economically and ecologically sustainable industry-scale valorization plants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Environmental
Shuai Guo, DanDan Xu, Xingcan Li, Chenchen Zhao
Summary: This study optimized the preparation and gasification performance of sewage sludge hydrochar through the use of response surface methodology. The optimal conditions for hydrochar yield, higher heating value, and gasification activity index were determined by varying the carbonization temperature, residence time, and acetic acid concentration. The results provide valuable insights for guiding sewage sludge hydrothermal carbonization and further optimization of thermochemical conversion.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Energy & Fuels
Alyaa Abdulhussein Alsaedi, Md. Sohrab Hossain, Venugopal Balakrishnan, Marwan Abdul Hakim Shaah, Muaz Mohd Zaini Makhtar, Norli Ismail, Mu. Naushad, Chinna Bathula
Summary: This study assessed the feasibility of using municipal sewage sludge as a feedstock for biodiesel production. The results showed that lipids can be extracted from sewage sludge using the soxhlet extraction method, and biodiesel can be synthesized from the extracted lipids using alkaline transesterification. The physicochemical properties of the biodiesel met the relevant standards.
Article
Chemistry, Physical
You-Hsin Chen, Thi Ngoc Lan Thao Ngo, Kung-Yuh Chiang
Summary: This research investigates enhanced hydrogen production in sewage sludge and industrial wastewater sludge co-gasification. The experimental results demonstrate that the high catalytic Fe/Mn content in industrial wastewater sludge increases hydrogen production, with the produced gas heating value and cold gas efficiency falling within acceptable ranges.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Review
Energy & Fuels
Le Minh Quan, Hesam Kamyab, Ali Yuzir, Veeramuthu Ashokkumar, Seyed Ehsan Hosseini, Balamuralikrishnan Balasubramanian, Irina Kirpichnikova
Summary: Gasification and combustion processing are considered reliable methods for waste treatment. This paper provides observations on the technical perspectives and applications of gasification and combustion processes, including the properties of the waste, reactor, treatment media, operating conditions, and heat recovery strategies for electricity generation.
Article
Energy & Fuels
Tim Arthur, Graeme J. Millar, Emilie Sauret, Jonathan Love
Summary: This study evaluated the potential benefits of thermally integrating a membrane distillation heat exchanger (MDHX) with water electrolysis for thermal management of waste heat and simultaneous production of fresh water for hydrogen production. A MATLAB model was used to simulate a combined MDHX and water electrolysis stack, showing that the MDHX-EC system can regulate the temperature of an AEM electrolyser and produce fresh water at the same rate as water consumption. These results suggest that further experimental studies should be conducted to explore the performance and economic benefits of this integrated system.
Article
Green & Sustainable Science & Technology
Ozgun Tezer, Nazlican Karabag, Atakan Ongen, Azize Ayol
Summary: This experimental study presents the results of sewage sludge gasification in two different fixed bed gasifiers and investigates the effects of heating temperature, gasification agents, and flow rates on gasification efficiency. The study identifies key points and contributes to a deeper understanding of the potential for sludge gasification using different gasifier configurations.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Agricultural Engineering
Qili Zhu, Lichun Dai, Yanwei Wang, Furong Tan, Chenghan Chen, Mingxiong He, Toshinari Maeda
Summary: Enrichment of waste sewage sludge without carboxymethylcellulose (CMC) addition was found to be more beneficial for promoting anaerobic digestion (AD) of cellulose, leading to higher methane production and increased anaerobic biodegradation of cellulose compared to enriched sludge with CMC addition.
BIORESOURCE TECHNOLOGY
(2021)
Article
Energy & Fuels
Mingtao Hu, Wenyi Deng, Yaxin Su, Lihua Wang, Guang Chen
Summary: The study found that a steam-CO2 mixed atmosphere is beneficial for increasing the yield and quality of syngas during the gasification of sewage sludge. H2 is mainly produced between 400 to 700 degrees Celsius, with a maximum concentration of 76.2 vol% under a steam/CO2 ratio of 36. Steam promotes the formation of oxygen-containing compounds, while fixed carbon is consumed through the Boudouard reaction and steam reforming reaction.
Article
Environmental Sciences
Song Hu, Jigeng Li, Mengna Hong, Yi Man
Summary: This study uses the association rules algorithm to optimize parameters for the waste paper pulping process, improving pulp quality by adjusting working conditions; test results show an increase of 6.93% in pulp qualified rate and a reduction of 5.76 kWh/t in average electricity consumption per ton of pulp.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Ao Yang, Yang Su, Shirui Sun, Weifeng Shen, Mengna Bai, Jingzheng Ren
Summary: This study proposes a novel approach for the separation of ethanol/tert-butanol/water ternary azeotropic mixture. Two processes, double-column reactive-extractive distillation (DCRED) and reactive-extractive dividing wall column (REDWC), are developed using kinetic and thermodynamic analysis and optimized with a multi-objective particle swarm optimization algorithm. The evaluation based on cost, emissions, and efficiency shows that both processes have significant improvements compared to the conventional method.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Chemistry, Multidisciplinary
Yongjun Yin, Shaoxu Chen, Zhichao Ma, Joe Ru He Zhao, Richard J. Kerekes, J. David McDonald, Yi Man
Summary: This study describes the optimization of a eucalyptus elemental chlorine-free (ECF) bleach plant to reduce adsorbable organic halogen (AOX). By analyzing the correlations between operating conditions and pulp quality indices as well as AOX content in wastewater, calculation models and an optimization model are established. The results show that AOX emissions can be reduced by 12.5%.
Article
Thermodynamics
Yusha Hu, Jigeng Li, Mengna Hong, Jingzheng Ren, Yi Man
Summary: This study proposes an integrated model for short-term electricity load forecasting based on machine learning algorithms and big data, aiming to optimize production scheduling. The accuracy of the dynamic forecasting model reaches 99%, enabling timely prediction of abnormal electricity consumption and providing reliable evidence for production process scheduling.
Article
Chemistry, Physical
Yusha Hu, Jigeng Li, Yi Man, Jingzheng Ren
Summary: Hydrogen energy is considered to be one of the most promising clean energy sources due to its high-grade energy and clean combustion. However, the production process is often unstable and inefficient. To address these issues, a dynamic hydrogen production yield forecasting model based on the Discrete Grey Method and Gradient Boosting Regression Tree has been proposed, which shows strong correlation with input data and provides reasonable forecasting results.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Yusha Hu, Yi Man
Summary: As complex industries move towards small batches and customization, the uncertainty of intermittent electrical devices' operation time increases, leading to a higher fluctuation range of the electrical load. To ensure regular production, fossil power plants increase generator capacity, resulting in increased carbon emissions. However, renewable energy generation's instability also contributes to unsafe electricity transmission. This study proposes a two-stage energy scheduling optimization model that reduces electricity cost and carbon emissions effectively.
Article
Engineering, Environmental
Yue Liu, Jingzheng Ren, Liang Dong, Yuanzhi Jin, Yi Man
Summary: This study proposed a three-layer optimization model based on mixed-integer programming to address the sustainable supply chain design problem in urban sludge management, examining various sludge-to-energy technical routes and confirming its feasibility through a specific case study.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Editorial Material
Engineering, Chemical
Yi Man, Zhiqiang Sun, Sheng Yang
Article
Environmental Studies
Ruojue Lin, Yue Liu, Jingzheng Ren, Carman K. M. Lee, Ping Ji, Long Zhang, Yi Man
Summary: This study proposes a non-orthogonal coordinate system-based multi-criteria decision making method that can consider the interactions and interdependences among the criteria for sustainability assessment. Through a comparison and sensitivity analysis of an electricity production case, the results demonstrate that this method can effectively prioritize industrial systems in terms of sustainability.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Green & Sustainable Science & Technology
Zhenglei He, Jiwei Qian, Jigeng Li, Mengna Hong, Yi Man
Summary: This study develops soft sensors to monitor key variables in the papermaking process and optimizes multiple objectives such as cost, energy consumption, and greenhouse gas emissions, providing a possible reduction of up to 17.3% when the process is supported by soft sensors.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Chemical
Huanhuan Zhang, Jigeng Li, Mengna Hong, Yi Man, Zhenglei He
Summary: This study proposes a multi-objective optimization model for the flexible flow-shop to maximize production efficiency by minimizing production costs and makespan. The model combines the NSGA-II and VNS algorithms and is verified using a real-world example.
Article
Green & Sustainable Science & Technology
Feini Huang, Wenqing Li, Wenhao Shen, Panagiotis Seferlis, Yi Man, Jean-Pierre Corriou
Summary: Due to the high pollution loads in the papermaking industry, a large amount of greenhouse gases are emitted during the wastewater treatment process. In order to reduce these emissions, an intelligent control scheme based on dissolved oxygen control has been developed. The simulation results show that the proposed hierarchical optimal proportional-integral control scheme can effectively reduce the greenhouse gas emissions compared to the open-loop operation.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Yi Man, Yukun Yan, Xu Wang, Jingzheng Ren, Qingang Xiong, Zhenglei He
Summary: China, the top emitter of greenhouse gases, has faced remarkable uncertainty in estimating carbon emissions from its pulp and paper industry. This study re-evaluated the carbon emission using life cycle assessment, applying more accurate emission factors and considering actual energy consumption in factories. The results showed that the national standards for energy consumption in this industry are no longer applicable, and international organizations have overestimated greenhouse gas emissions by approximately 12.00%-56.17%.
Article
Green & Sustainable Science & Technology
Yusha Hu, Yi Man
Summary: The industrial process consumes a lot of energy and emits a large amount of carbon dioxide. Accurate energy consumption and carbon emissions forecasting can help industrial enterprises achieve cleaner production, optimize energy structure, reduce production costs, and better control the production situation. However, current machine learning-based forecasting models face difficulties in improving accuracy due to oversaturation of modeling methods and uncertainties in industrial big data. This work summarizes recent research on energy consumption and carbon emissions forecasting for industrial processes and proposes three potential forecasting models for future use.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Computer Science, Information Systems
Rongping Lin, Song Yu, Shan Luo, Xiaoning Zhang, Jingyu Wang, Moshe Zukerman
Summary: Network function virtualization (NFV) achieves cost-effective network service provisioning by decoupling network functions from dedicated hardware. Service function chaining (SFC) is used to steer traffic flow through a specific order of network functions hosted by cloud computing. This article proposes a new optimization algorithm, along with two heuristic algorithms, to solve the SFC embedding problem in multi-domain networks. Numerical validation shows that the acceptance ratio of the heuristic algorithms is close to the optimal algorithm.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
