Article
Environmental Sciences
Huimin Hou, Sui Zhang, Dongfang Guo, Lijuan Su, He Xu
Summary: This study compares the environmental impacts of three fly ash utilization paths using life cycle assessment (LCA) and defines a synergy index to quantitatively evaluate the synergetic effects of carbon emission and pollutant reduction. The results confirm the potential of fly ash resource utilization for synergetic pollution and carbon reduction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Zhen Zhu, Chuntian Lu
Summary: This paper evaluates the greenhouse gas emissions of shared electric bicycles (SEB) using life cycle assessment and finds that the emissions in the production and operation stages are 379.6173 kg CO2-eq and 183.4663 kg CO2-eq, respectively. However, the use stage results in a reduction of 1049.8374 kg CO2-eq, resulting in a net GHG reduction of 487.3923 kg CO2-eq throughout the SEB's life cycle. Additionally, non-recyclable parts of the SEB take 48 years to degrade in landfills.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Chunyu Wang, Ling Zhu
Summary: The study used life cycle assessment method to evaluate energy consumption, material consumption, and pollutant emissions of a coal chemistry factory. Results showed that the main source of pollution in the CTL program is the processing step, and consistent emission standards and policies are needed for the coal chemical industry's reasonable and orderly growth.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Lee Burbery, Phil Abraham, Richard Sutton, Murray Close
Summary: Woodchip denitrification walls are an effective way for groundwater nitrate pollution remediation, but they can also induce pollution-swapping phenomena due to their low redox state. A study of a woodchip denitrification wall demonstrated efficient nitrate removal initially, but resulted in acute and localized pollution in the form of dissolved iron, manganese, arsenic, and methane emission. Over time, the reactivity of the woodchip wall decreased, leading to a steady state condition with nitrate reduction and no measurable methane emission. The woodchip wall also began to export the greenhouse gas nitrous oxide (N2O), but at lower rates than productive agricultural land.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Fusong Wang, Inge Hoff, Fei Yang, Shaopeng Wu, Jun Xie, Na Li, Lei Zhang
Summary: This study compares the energy consumption and Greenhouse Gas (GHG) emissions of advanced asphalt pavement constructions using self-healing, steel slag recycling, and warm mix technology. Results show that warm mix asphalt pavement is the most environmentally friendly overall, but the environmental burdens generated in materials extraction stage are significant. Factors such as recycled materials applications, transport distance managements, and located climate conditions have a striking impact on the environmental effects of asphalt pavement construction.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Studies
Ali Pourahmadiyan, Pouria Ahmadi, Erik Kjeang
Summary: This study developed a regional life cycle assessment framework to evaluate CNG and LNG as fuel alternatives for transit buses in Victoria, Canada. Results showed switching from diesel to CNG or LNG can reduce greenhouse gas emissions by 4.8% and 8.1% respectively, with the majority of emissions associated with on-board emissions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Environmental Sciences
Qian-Qian Zhang, Min-Yi Lan, Hui-Ru Li, Shu-Qing Qiu, Zhao Guo, You-Sheng Liu, Jian-Liang Zhao, Guang-Guo Ying
Summary: China's booming takeaway food industry has led to a surge in plastic packaging, resulting in severe plastic pollution and increased emissions of PAEs and GHGs. This study assesses the current and future plastic usage for takeaway food packaging in China and predicts that the plastic consumption will continue to rise, causing negative environmental impacts. Biodegradable plastics or plastic recycling will not significantly contribute to carbon reduction unless a 2°C temperature change scenario is adopted.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Dayang Yu, Jinjia Niu, Longchun Zhong, Kaiyu Chen, Guanyi Wang, Meilin Yan, Dandan Li, Zhiliang Yao
Summary: China, as one of the largest carbon emitters, aims to achieve carbon neutrality by 2060. This study focuses on the utilization of waste and pollution reduction in the food chain, particularly through the conversion of waste into biochar. It provides a systematic review and analysis of the sources of biochar in the food chain, as well as the feasibility of treating contaminated sites within the food chain using waste.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Chaowei Wang, Song He, Sheng Li, Lin Gao
Summary: High water consumption is hindering the development of the coal chemical industry in China. Research shows that upgrading cooling water technology and adopting water-saving gasification methods can significantly reduce water consumption in the coal-to-synthetic natural gas process. By integrating water networks and improving other units, water consumption can be further reduced to levels lower than 3.50 t/kNm(3).
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Zhaoyang Kong, Xiucheng Dong, Qingzhe Jiang, Minghao Zhuang, Xiang Liu, Chade Li, Jian Zhang
Summary: The SNG industry in China is facing challenges such as low profits, high carbon emissions, and water shortages, with cautious and unstable policies. The future of SNG in China shows potential growth in production, which could reduce dependence on gas imports, although economic profitability remains low with an Energy Return on Investment (EROI) of approximately 1.5. Price subsidies may help increase production levels.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Multidisciplinary Sciences
Xin Huang, Aijun Ding, Jian Gao, Bo Zheng, Derong Zhou, Ximeng Qi, Rong Tang, Jiaping Wang, Chuanhua Ren, Wei Nie, Xuguang Chi, Zheng Xu, Liangduo Chen, Yuanyuan Li, Fei Che, Nini Pang, Haikun Wang, Dan Tong, Wei Qin, Wei Cheng, Weijing Liu, Qingyan Fu, Baoxian Liu, Fahe Chai, Steven J. Davis, Qiang Zhang, Kebin He
Summary: The study indicates that during the COVID lockdown, haze was mainly driven by enhanced secondary pollution, particularly due to the significant decrease in NOx emissions from transportation. This highlights the need for a coordinated and balanced strategy to control multiple pollutants for haze mitigation.
NATIONAL SCIENCE REVIEW
(2021)
Article
Engineering, Environmental
Junjie Li, Yajun Tian, Yelin Deng, Yueling Zhang, Kechang Xie
Summary: A bottom-up method was proposed to accurately estimate GHG emissions from the Chinese coal-to-electricity chain with higher spatial resolution and lower uncertainty, representing the status quo in different provinces. The total GHG emissions from the chain in 2016 are estimated to peak in 2025 but could occur earlier in 2019 with accelerated transformation, suggesting tailored carbon reduction strategies should be coordinated nationwide.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Engineering, Environmental
Xiaodan Chen, Hao Wang
Summary: The study focuses on the life cycle assessment and multi-criteria assessment of pervious concrete pavement with fly ash, integrating hydraulic and structure designs for functional unit development and combining environmental impacts with engineering and economic indicators. The research found that the environmental impacts of pervious pavement system were mainly generated from material stage in terms of GHG emissions and energy consumption, and the performance rankings of pervious concrete mixes were different from those of pervious pavement structures. The environmental impact of pervious concrete pavement with fly ash can vary depending on mechanic properties and surface layer thickness.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Imad Ali, Huaping Sun, Gulzara Tariq, Hashmat Ali, Khan Baz, Haider Mahmood, Imran Khan, Jingjing Yao
Summary: This article investigates the impacts of coal and gas consumption on environmental quality in six Asian countries and provides environmental recommendations.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Hui Yue, Ernst Worrell, Wina Crijns-Graus, Shaohui Zhang
Summary: Efficiency improvements in the industrial sector can reduce reliance on coal-fired power generation and lead to the phased-out of high-polluting power units in China. By promoting efficient electricity usage in industry, less efficient coal-fired plants can be curbed from coming online, leading to significant reduction in air pollutant emissions due to the closure of coal-fired power units. Improved industrial energy efficiency is shown to be more cost-effective than installing flue gas controls in coal-fired plants, and can also contribute to climate change mitigation and enable the expansion of renewable power supply.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Yang Zhang, Mengna Hong, Jigeng Li, Jingzheng Ren, Yi Man
Summary: Energy consumption during the drying process in paper mills is significant and can be reduced through energy system optimization. The drying process is complex, and previous optimization models lacked a holistic approach. A new energy system optimization model for tissue paper drying process was proposed, showing a promising cost reduction potential.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
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
Chemistry, Multidisciplinary
Yang Zhang, Yulin Han, Yi Man
Summary: This study focused on the tissue paper industry and compared the sustainability of seven different production paths using multi-criteria decision-making methods. The results revealed that the production path based on natural sulfate bamboo pulp had the highest sustainability. Sensitivity analysis showed that the bleaching operation had a significant impact on the sustainability ranking.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
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
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
