Article
Green & Sustainable Science & Technology
Jakub Wieckowski, Jaroslaw Watrobski, Bartlomiej Kizielewicz, Wojciech Salabun
Summary: Sustainability research and practice decisions are crucial for addressing the challenge of frugal resource management in today's world. The use of Multi-Criteria Decision Analysis (MCDA) tools can help comprehensively analyze available decision options. However, current frameworks often rely on crisp values, resulting in only initial recommendations. This paper proposes a new framework for sensitivity analysis based on interval arithmetic and MCDA approach, which can effectively handle uncertain data and provide robust ranking.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Information Systems
Boris Yatsalo, Alexander Radaev, Luis Martinez
Summary: This paper aims to develop and compare different Fuzzy Multi-Criteria Decision Analysis (FMCDA) models to address fuzzy multi-criteria problems. By considering different methods for assessing functions of fuzzy numbers and ranking fuzzy numbers, distinctions and their significance in ranking alternatives are explored for different FMCDA models.
INFORMATION SCIENCES
(2022)
Article
Construction & Building Technology
Indre Siksnelyte-Butkiene, Dalia Streimikiene, Tomas Balezentis
Summary: This paper aims to develop a set of indicators and evaluation tools for assessing the sustainability of the heating sector at the national level, with a focus on selected North European countries. The study revealed that three Nordic Countries were ranked the highest in all sustainability assessment scenarios, indicating them as potential best practices in the heating sector.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Computer Science, Artificial Intelligence
Boris Yatsalo, Alexander Radaev, Elif Haktanir, Andrzej M. J. Skulimowski, Cengiz Kahraman
Summary: This article introduces a family of fuzzy multi-criteria sorting models, FTOPSIS-Sort, which is a fuzzy extension of the Multi-Criteria Decision Analysis (MCDA) method TOPSIS. The features and applications of these models are discussed, showing significant differences in sorting alternatives among different FTOPSIS-Sort models.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Mathematics
Huai-Wei Lo, Chao-Che Hsu, Chun-Nen Huang, James J. H. Liou
Summary: This study proposes a forward-looking approach that uses a multiple-criteria decision analysis model for risk identification. The improved method can generate more reliable risk weights and assess risk levels using the TOPSIS method. The practicality and effectiveness of the proposed model are demonstrated through a case study and model comparisons.
Article
Business
Rajesh Kr Singh, Sachin Kumar Mangla, Manjot Singh Bhatia, Sunil Luthra
Summary: This research presents solutions for the integrated implementation of green and lean practices, with the application of quality control tools, reduction in lead-time, use of right first time approach, and new technology and product innovations being the most crucial for overcoming barriers. The ranking of these solutions will aid managers in making strategic decisions and improving performance in manufacturing firms.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Environmental Sciences
Qingyu Zhang, Shimiao Yang
Summary: This study establishes a model for evaluating the sustainability of big data centers, identifying five key factors and areas for further development. It provides guidance for managers to build more sustainable big data centers by balancing tasks, utilizing renewable energy, and waste heat. The study is the first to assess big data center sustainability using multiple criteria decision-making methods and fuzzy theory, offering a systematic evaluation framework based on qualitative and quantitative criteria.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Sura Toptanci, Hakan Goekhan Gundogdu, Selcuk Korucuk, Ahmet Aytekin, Zeljko Stevic
Summary: Local governments are adapting their activities and resources to changing conditions, especially in terms of sustainability strategies. A systematic and analytical approach is needed to address decision-making challenges regarding corporate and environmental sustainability for local governments. New measurement methods are necessary to define sustainability outputs/strategies, focusing on both short-term impacts and system-wide benefits. This study examines the best corporate sustainability strategy for local governments, considering criteria such as net-zero targets and sustainable production.
Article
Engineering, Mechanical
Bartlomiej Kizielewicz, Jakub Wieckowski, Andrii Shekhovtsov, Jaroslaw Watrobski, Radoslaw Depczynski, Wojciech Salabun
Summary: In this study, three MCDA methods were applied to examine the rankings obtained for the selected problem, showing highly correlated results and insignificant differences in positional rankings. The findings suggest the need for improved solutions in accurately assessing suppliers during a given period.
FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Abdullah Yildizbasi, Cihat Ozturk, Deniz Efendioglu, Serol Bulkan
Summary: This study focuses on evaluating the social sustainability of companies in the automotive industry in Turkey, highlighting the importance of the social dimension as a basic pillar of sustainability. By using Multi-Criteria Decision-Making methods, the study reveals the situation of social sustainability in the Turkish automotive industry, providing insights for future improvements based on the evaluation results.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Operations Research & Management Science
A. Lopez-Garcia, V. Liern, B. Perez-Gladish
Summary: ESG criteria are important in investment decisions, but rating methodologies of ESG rating agencies have weaknesses in determining the relative importance of criteria. This paper proposes a MCDM approach called UW-TOPSIS that ranks firms based on their ESG global performance without the need for aggregation weights. However, it does not provide a global vector of weights for all alternatives, which is the objective of this paper.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Energy & Fuels
Mohammad Anwar
Summary: This study aimed to identify the best biodiesel feedstocks using multiple criteria decision analysis processes, considering economic, technical, environmental, and social aspects. The findings revealed that coconut was ranked as the best option while soybean was considered the worst among the alternatives.
Article
Engineering, Marine
Jaehoon Jee
Summary: This paper identifies the best solution for different SOx scrubber systems by evaluating their economic, environmental, and technical performances. The analysis results suggest that closed-loop scrubber systems are the most effective choice in all aspects, showing the excellence of the proposed decision-making model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Pranith Kumar Roy, Krishnendu Shaw
Summary: Sustainability has become a dominant paradigm globally, with financial institutions also being pushed to adopt sustainable initiatives like green banking policies for sustainable growth. A proposed multi-criteria sustainable credit scoring model highlights the importance of environmental and social sustainability, along with financial sustainability, indicating the need for integrating sustainable criteria into credit lending processes.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Green & Sustainable Science & Technology
Tamoor Azam, Songjiang Wang, Muhammad Mohsin, Muhammad Nazam, Muhammad Hashim, Sajjad Ahmad Baig, Muhammad Zia-ur-Rehman
Summary: Sustainable supply chain initiatives have gained significant attention in the food sector globally, but food processing industries are facing numerous barriers in achieving sustainable goals. This study applies a hybrid fuzzy analytical hierarchy process and fuzzy technique for order preference to analyze and prioritize pathways for adopting SSCIs in the development of FPIs. The lack of sustainable outsourcing factors was identified as a top barrier, with appropriate management of the procurement cycle suggested as a possible pathway to overcome it.
Article
Multidisciplinary Sciences
Xueling Wang, Qiang Lyu, Tiezheng Tong, Kuo Sun, Li-Chiang Lin, Chuyang Y. Tang, Fenglin Yang, Michael D. Guiver, Xie Quan, Yingchao Dong
Summary: The study introduces an intra-crystalline defect engineering strategy to design a high-performance stable metal-organic framework membrane for effective treatment of hypersaline waters, achieving both excellent salt rejection and high water flux. Molecular dynamics simulations reveal the positive role of defects in enhancing structural hydrophilicity and enabling ultra-fast water transport, paving the way for the rational design of next-generation MOF membranes with enhanced permeation performance.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Physical
Xueyang Zhao, Kun Zhao, Yanming Liu, Yan Su, Shuo Chen, Hongtao Yu, Xie Quan
Summary: In this study, a diatomic electrocatalyst with nitrogen-doped porous carbon-anchored homonuclear Fe2N6 sites was prepared for efficient CO2 reduction to CO. The catalyst exhibited high CO Faradic efficiency and low Tafel slope compared to single-atom Fe catalyst. Density functional theory calculations revealed that the neighboring Fe-Fe centers in the Fe2N6 site facilitated CO2 activation and decreased the reaction barrier for CO desorption.
Article
Engineering, Environmental
Jiajian Xing, Haiguang Zhang, Gaoliang Wei, Lei Du, Shuo Chen, Hongtao Yu, Xie Quan
Summary: By incorporating molybdenum sulfide (MoS2) nanosheets and applying external electrical assistance, both the 2D channel and charge density of reduced graphene oxide (rGO) membranes were regulated to enhance water flux and salt rejection. The resulting rGO/MoS2 membranes exhibited expanded nanochannels, resulting in significantly increased water permeance. In addition, the high capacitance and negative potential of the membranes contributed to improved rejection rates for NaCl and Na2SO4 ions. This study provides new insights for the design of membranes with high water flux and salt rejection efficiency.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Peike Cao, Xie Quan, Xiaowa Nie, Kun Zhao, Yanming Liu, Shuo Chen, Hongtao Yu, Jingguang G. G. Chen
Summary: The authors report a scalable cobalt single-site catalyst for hydrogen peroxide synthesis at industrial-relevant currents in acidic, neutral or alkaline electrolyte, providing a sustainable alternative to traditional anthraquinone technology.
NATURE COMMUNICATIONS
(2023)
Review
Chemistry, Multidisciplinary
Xinfei Fan, Gaoliang Wei, Xie Quan
Summary: Membrane separation is widely used in water and wastewater treatment due to its cost-effectiveness, ease of operation, and high efficiency. However, current membranes face challenges in balancing selectivity and permeability, as well as dealing with membrane fouling. Recent studies have focused on developing high-performance membranes based on carbon nanomaterials, such as carbon nanotubes and graphene, to improve water and wastewater treatment. These carbon nanomaterial-based membranes demonstrate enhanced permselectivity and fouling resistance under electrochemical assistance, thanks to their good electrical conductivity. This review summarizes the progress in the preparation, mechanisms, and applications of electroconductive nanocarbonaceous membranes for water purification and wastewater treatment, aiming to enhance the fundamental understanding of combining membrane separation and electrochemistry. The review covers methods for preparing electroconductive membranes, such as carbon nanotube membranes and graphene membranes, as well as the underlying mechanisms for the improved permselectivity, antifouling, and regeneration performance achieved through electrochemical processes. The review also discusses practical limitations of membrane/electrochemistry systems and proposes possible solutions.
ENVIRONMENTAL SCIENCE-NANO
(2023)
Article
Chemistry, Physical
Lanlan Liang, Peike Cao, Xin Qin, Shuai Wu, Haokun Bai, Shuo Chen, Hongtao Yu, Yan Su, Xie Quan
Summary: Developing efficient and interference-tolerant catalysts for practical use in catalytic ozonation process is challenging. In this study, a surface Vo-rich catalyst was prepared by doping Co into zinc ferrite spinel, showing efficient mineralization of recalcitrant organic pollutants. The removal of contaminants was mainly attributed to nonradical-based oxygen species, *O, rather than traditional hydroxyl radicals, •OH. The Vo-driven nonradical catalysis exhibited high resistance to coexisting ions and excellent performance in actual wastewater treatment, providing a novel strategy for efficient mineralization of pollutants in complicated water matrices.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2023)
Article
Engineering, Environmental
Xueyang Zhao, Qin Geng, Fan Dong, Kun Zhao, Shuo Chen, Hongtao Yu, Xie Quan
Summary: Electrochemically reducing nitrate to ammonia is an efficient method to address nitrate pollution. However, controlling the selectivity and kinetics of ammonia production remains a challenge. In this study, a single-atom Cu catalyst was developed for selective and efficient nitrate reduction, achieving high Faradic efficiency and ammonia selectivity. DFT calculations revealed the underlying mechanism, demonstrating the superiority of the single-atom Cu catalyst over Cu nanoparticle catalyst. This research provides a strategy for designing electrocatalysts for efficient and selective ammonia production via nitrate reduction.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
Xin Qin, Peike Cao, Xie Quan, Kun Zhao, Shuo Chen, Hongtao Yu, Yan Su
Summary: In this study, a dual-atomic-site catalyst (CoFe DAC) was proposed to cooperatively catalyze middotOH electrogeneration. The CoFe DAC showed higher middotOH production rate compared to single-site catalysts, and it was more energy-efficient for coking wastewater treatment.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Environmental
Gaoliang Wei, Lei Du, Haiguang Zhang, Jiajian Xing, Shuo Chen, Xie Quan
Summary: In this study, it was found that electrochemical treatment can expand the restacked regions of reduced graphene oxide (rGO) membranes, leading to the formation of ultrafast water transport nanochannels. The expansion is driven by hydrogen bond interactions between water molecules and electrochemically produced hydroxyl groups on the edges of rGO nanosheets. The treated rGO membranes exhibit a permeance 2 orders of magnitude higher than pristine rGO membranes and about 3 times higher than graphene oxide membranes. Additionally, the rGO membranes also show higher ionic/molecular rejection performance due to their smaller average pore size.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Hai-Guang Zhang, Xie Quan, Lei Du, Gao-Liang Wei, Shuo Chen, Hong-Tao Yu, Ying-Chao Dong
Summary: Researchers propose an electropolarization strategy using vertically aligned reduced graphene oxide (VARGO) membrane to regulate interfacial hydrogen-bond and electrostatic interactions, achieving high water permeation and ion rejection performance.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Engineering, Environmental
Qilin Yu, Haohao Mao, Zhiqiang Zhao, Xie Quan, Yaobin Zhang
Summary: As a major driver of global methane production, methanogens are exposed to an environment filled with dynamic electromagnetic waves, which may induce electromotive force (EMF) to potentially influence methanogen metabolism. This study found that exposure to a dynamic magnetic field increased biogas production through induced EMF. The methane emissions from sediments increased by 41.71% when exposed to a dynamic magnetic field with an intensity of 0.20 to 0.40 mT. The EMF accelerated the respiration of methanogens and bacteria, leading to enhanced microbial metabolism.
Article
Chemistry, Multidisciplinary
Muhammad Irfan Ahmad, Shuo Chen, Hongtao Yu, Xie Quan
Summary: This study demonstrates the successful production of H2O2 by introducing reduced graphene oxide (rGO) into SnO2, which enhanced light absorption and reduced the energy band gap. Among different concentrations of rGO, 0.5wt% rGO-SnO2 showed the highest H2O2 yield. The findings provide valuable guidance for designing efficient photocatalysts for H2O2 generation.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Article
Engineering, Environmental
Chengyu Yuan, Yuxin Li, Lulu Qian, Jiajian Xing, Xu Wang, Haiguang Zhang, Lei Du, Gaoliang Wei, Shuo Chen, Xie Quan
Summary: This study presents a molten salt intercalation method for the fabrication of an Al3+-intercalated MXene membrane with good antiswelling ability. The intercalated membrane shows significant increase in the Al-O group and Al content, while in situ XRD tests confirm the stability of d-spacing with Al3+ intercalation. The membranes demonstrate excellent separation efficacy for organic dyes and antibiotics with rejection rates exceeding 90%.
ACS ES&T ENGINEERING
(2023)
Article
Engineering, Environmental
Yanping Shi, Tao Liu, Xie Quan, Shuo Chen, Hongtao Yu, Wuzhe Quan
Summary: A municipal WWTP upgraded its process to A2O-IFFAS by filling ZVI-modified biofilm carriers into anoxic bioreactors and clinoptilolite-modified biofilm carriers into aerobic bioreactors. The upgraded process achieved high nitrogen removal efficiency and met the discharge standard requirements.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
Shuai Wu, Xie Quan
Summary: This article introduces the basic mechanism of photocatalytic H2O2 production from O2 reduction and proposes universal strategies and design principles to enhance the performance of photocatalytic H2O2 production. The article also presents the prospects and suggestions for the future development of photocatalytic H2O2 production.
ACS ES&T ENGINEERING
(2022)
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)
