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
Energy & Fuels
Ebne Rashid, Nehreen Majed
Summary: The electricity sector in Bangladesh has seen significant growth in the past decade, but the country is not maximizing its benefits due to disparities among its components. Stakeholders lack knowledge in addressing interconnected issues, resulting in inconsistent policies. This study evaluates the integrated sustainability of Bangladesh's electricity generation through a life cycle approach, finding that solar and hydropower are the most sustainable options.
Article
Green & Sustainable Science & Technology
Desmond Eseoghene Ighravwe
Summary: This study creates a framework for sustainable maintenance strategies and evaluates four different strategies using multi-criteria tools. The results show that different strategies are suitable for different requirements, with S3 being the best for technical needs and S2 being the least effective. The analysis of economic, social, and environmental needs identifies S1, S1, and S2 as the most appropriate and least appropriate strategies, respectively.
Article
Energy & Fuels
Pawel Ziemba
Summary: In the contemporary literature on sustainability, there is a growing trend of using Multi-Criteria Decision Analysis (MCDA) methods instead of traditional sustainability indices. This article aims to scientifically analyze the applicability of various MCDA methods in decision-making problems related to sustainability. Based on a literature analysis, the article presents a set of features that determine the possibility of using individual MCDA methods in sustainability problems. The study found that MCDA methods, especially those based on arithmetic aggregation of criteria and fuzzy modifications of classical methods, are more commonly used in sustainability problems than classic sustainability indices. The use of MCDA methods provides more flexibility and functionality in sustainability assessment.
Article
Green & Sustainable Science & Technology
Weichen Li, Xusheng Ren, Qiaoting He, Di Xu, Lichun Dong
Summary: This study developed a novel mathematical framework for evaluating the sustainability of power generation systems using either fossil energy (with or without CCS) or renewable energy sources. The results show that Wind power is assessed as the most sustainable technology and the criterion of Global warming has the greatest impact on the sustainability of power generation systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
Salman Ahmad, Jamal Ouenniche, Ben W. Kolosz, Philip Greening, John M. Andresen, M. Mercedes Maroto-Valer, Bing Xu
Summary: The paper introduces a multi-criteria framework for evaluating SAF production pathways. Findings suggest that environmental and economic impacts are most important in decision-making, recommending gasification/FischerTropsch (F-T) based processes and prioritizing waste gases and wood-residue as feedstock.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Green & Sustainable Science & Technology
Pradip Kundu, Omer Faruk Gorcun, Chandra Prakash Garg, Hande Kucukonder, Mustafa Canakcioglu
Summary: This paper proposes a multi-criteria group decision-making framework to assist decision-makers in selecting urban transportation systems. The framework utilizes fuzzy BWM and fuzzy MAIRCIA techniques and has been applied to evaluate six urban transport systems based on 11 selection criteria.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Huibing Cheng, Shanshui Zheng, Jianghong Feng
Summary: This study aims to address the issue of selecting a sustainable ferry operator for the Zhuhai municipal government. It proposes an integrated MCDM framework model that combines the fuzzy analytic hierarchy process (FAHP), entropy weight (EW) method, and fuzzy technique for order preference by similarity to ideal solution (FTOPSIS). The proposed method is validated through a real case study on the Wanshan Islands in Zhuhai, and the results demonstrate its effectiveness in evaluating and selecting ferry operators.
Article
Green & Sustainable Science & Technology
Luca Benvenuti, Alberto De Santis, Paola Cacchione
Summary: This study analyzes a set of diet plans that are nutritionally adequate, healthy, affordable, and environmentally friendly, designing multiple menus to balance different goals while ensuring nutritional adequacy. Results show that cheaper menus have a larger environmental impact, but a trade-off can be made between carbon and water footprints while keeping the menu cost unchanged.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Carlos Moro
Summary: In previous literature, separate studies have applied multi-criteria decision-making (MCDM) methods and life cycle assessment (LCA) methods to evaluate cementitious materials. This study bridges the gap by comparing LCA methods with durability parameters integrated and MCDM methods for concrete mixtures, aiming to assess the differences between these two approaches in terms of overall sustainability. The study evaluates concrete mixtures containing conventional and recycled materials based on mechanical properties, durability parameters, environmental impact, and cost. The results highlight the positive impact of supplementary cementitious materials (SCMs) on concrete performance and the importance of reducing cement content for sustainability. The study also demonstrates the acceptable differences in ranking concrete mixtures using MCDM methods, offering flexibility in property weighting for concrete applications, while different LCA methods with durability integrated yield higher differences, emphasizing the superior consistency of MCDM methods. The sensitivity analysis emphasizes the significance of weight methods and concrete parameters, suggesting the need for standardized procedures for specific concrete applications to ensure reliable and relevant results.
Article
Green & Sustainable Science & Technology
Idiano D'Adamo, Massimo Gastaldi
Summary: The study aims to build a replicable framework for monitoring the performance of different Italian regions in achieving the Sustainable Development Goals. The results reveal that the northern regions generally perform well, while the southern regions lag behind, highlighting the need for targeted green investments and regional collaboration to improve the situation.
Article
Green & Sustainable Science & Technology
Jaroslaw Watrobski
Summary: Alternative fuels have attracted growing interest, but proper evaluation requires appropriate methods and tools, especially for sustainable evaluation. This paper proposes a new method, Temporal PROMETHEE II, which overcomes the limitations of previous methods and allows for evaluating the dynamics of outcomes in a multi-criteria temporal evaluation.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Boban Pavlovi, Dejan Ivezi, Marija Zivkovi
Summary: When assessing the potential of renewable energy alternatives for electricity generation, a multi-perspective approach including economic, technical, environmental, and socio-political criteria is necessary. The Fuzzy Analytical Hierarchy Process (FAHP) method is applied for evaluation, revealing that hydropower and biomass have the highest potential among available renewable energy sources.
Article
Green & Sustainable Science & Technology
Babkir Ali, Ahmed Gamil
Summary: This study aims to achieve sustainable power generation in Sudan by effectively managing resources to meet the electricity demand. It analyzes the impact of different constraints on the sustainability of power generation through quantitative analysis of water, land, greenhouse gas emissions, and the levelized cost of electricity. The sensitivity analysis reveals that solar-photovoltaic, wind, and hydroelectricity pathways are most sensitive to the cost of electricity and can significantly contribute to Sudan's total power generation if their costs are minimized. A rational power generation scenario is developed to improve sustainability performance and reliability.
Article
Green & Sustainable Science & Technology
Abduallah Gamal, Mohamed Abdel-Basset, Ibrahim M. Hezam, Karam M. Sallam, Ibrahim A. Hameed
Summary: The autonomous vehicle (AV) has the potential to restructure transportation infrastructure and improve traffic congestion, quality of life, and traffic safety. This research applies a multi-criteria decision-making approach to selecting the optimal AV for logistics planning, handling uncertainty using type-2 neutrosophic numbers (T2NN). Results indicate that the velocity criterion is the most influential in selecting an intelligent AV. Rating: 9/10
Article
Energy & Fuels
Imran Khan
Summary: This study investigates the applicability of energy cultures framework in accounting for residential demand variability, finding that material culture dominates peaky households in Bangladesh while cognitive norms drive non-peaky households' demands. Spearman test results were consistent with ECF analysis.
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
(2021)
Article
Nanoscience & Nanotechnology
Imran Khan, Md Sahabuddin
Summary: In South Asian countries, measures similar to those in Europe and other developed countries, such as maintaining social distance and lockdowns, were imposed to control the spread of COVID-19. This study explores the impact of the pandemic on Bangladesh's fossil-fuel dominated electricity sector, finding that the demand variations during the lockdown period affected greenhouse gas emissions.
Article
Construction & Building Technology
Imran Khan, Michael W. Jack, Janet Stephenson
Summary: By analyzing residential electricity consumption data in Bangladesh, this study identifies the key factors influencing demand patterns as the number of major electrical appliances and the number of occupants in households. The research results suggest that daily average electricity consumption is influenced by the number of electrical appliances, while demand during system peaks is driven by the number of occupants.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Nanoscience & Nanotechnology
Md Moznuzzaman, Imran Khan, Md Rafiqul Islam
Summary: The global COVID-19 pandemic caused by SARS-CoV-2 has led countries to implement measures to control the virus spread, while a surface plasmon resonance-based biosensor has been proposed for rapid virus detection, showing excellent performance characteristics.
Review
Green & Sustainable Science & Technology
Md Momtazur Rahman, Imran Khan, Kamal Alameh
Summary: Various characterization methods are used to detect defects in photovoltaic modules, but the results can vary depending on the measuring apparatus and data acquisition system, leading to uncertainties. Identifying and quantifying degraded solar panels promptly can prevent costly module failures. This paper discusses the challenges of solar panel defect detection techniques and reviews conventional and emerging technologies for accurately identifying degradation sources and extending the useful lifetime of PV modules.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Md Momtazur Rahman, Imran Khan, David Luke Field, Kuaanan Techato, Kamal Alameh
Summary: Modern agriculture requires significant energy input, largely from fossil fuels. However, renewable energy application in agriculture can alleviate climate change impacts. Developed countries have successfully adopted renewable energy, while developing countries face challenges in terms of technology and economics.
Article
Green & Sustainable Science & Technology
Chanwit Kongklaew, Khamphe Phoungthong, Chanwit Prabpayak, Md. Shahariar Chowdhury, Imran Khan, Nuttaya Yuangyai, Chumpol Yuangyai, Kuaanan Techato
Summary: The adoption rate of electric vehicles (EVs) in Thailand is low. Respondents in the study are most concerned about public infrastructure and vehicle performance, with those aged 26-35 and having over five years of driving experience potentially being key targets for early EV adoption.
Review
Green & Sustainable Science & Technology
Imran Khan, Shahariar Chowdhury, Kuaanan Techato
Summary: This article discusses the current waste management situation and potential of waste to energy generation in developing countries, with a focus on SSA and SA. The analysis reveals that a significant amount of waste is openly dumped in these countries, and a large portion of the waste generated is organic. Opportunities to convert this waste into energy are highlighted, and a case study of Bangladesh is presented.
Article
Thermodynamics
Md Tanvir Ahammed, Imran Khan
Summary: The increase in population and adoption of new power appliances has led to a significant rise in electrical demands, causing challenges for utilities in maintaining supply-demand balance and resulting in issues like load-shedding and power quality drops, particularly in developing countries. By implementing efficient demand-side management algorithms in metering instruments, it is possible to mitigate these issues and increase consumer awareness of energy consumption. Introducing IoT-based smart meters can provide solutions for monitoring, bidirectional data transmission, and load-clipping, helping to maintain power quality parameters within standard limits and improve the balance between supply and demand.
Article
Green & Sustainable Science & Technology
Md. Sahabuddin, Imran Khan
Summary: A well-planned master plan for the power system is needed to meet the power challenges in Bangladesh. The use of the LEAP tool helps in analyzing different scenarios and finding suitable power generation plans with reduced emissions.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2023)
Article
Multidisciplinary Sciences
Shourov Sarker Joy, Imran Khan, A. M. Swaraz
Summary: Traditional agrophotovoltaic (APV) installations waste a significant amount of agricultural land by not allowing crops to be grown under the solar PV panels. A study conducted in Bangladesh shows that on average, each APV system installation occupies 13.77 decimal or 7,200 sq.ft. of land. If 10,000 APV systems are installed by 2027, the land wastage would amount to 1,652 acres. This poses a critical issue for Bangladesh, which already faces a scarcity of agricultural lands.
Article
Engineering, Electrical & Electronic
Md. Yousuf Ali, Imran Khan, Mehedi Hassan
Summary: This study focuses on the efficient lighting system design for educational institutions in Bangladesh. It identifies the insufficiency of natural light under overcast sky conditions and the inadequate illuminance level of fluorescent tube lights at night. Simulation results indicate that LED tube lights can save energy, cost, and greenhouse gas emissions.
FACTA UNIVERSITATIS-SERIES ELECTRONICS AND ENERGETICS
(2022)
Review
Construction & Building Technology
Imran Khan
Summary: This comprehensive review examines factors contributing to residential electricity consumption and investigates possible links between these factors and peaks in demand. The study presents in-house energy-use dynamics and introduces a framework for future research, providing a useful reference for engaging in new studies on residential factors and peaks in electrical demand.
ADVANCES IN BUILDING ENERGY RESEARCH
(2021)
Article
Chemistry, Analytical
Md Moznuzzaman, Md Rafiqul Islam, Imran Khan
Summary: Food preservatives and additives, particularly formalin, are a major concern due to their potential health risks, such as chronic cancer. A new sensor based on graphene-PtSe2 layers and ZnO nano-sheets has been proposed for the detection of formalin in liquid solution, showing improved sensitivity compared to traditional sensors. Further studies have been conducted to compare its performance with other sensors.
SENSING AND BIO-SENSING RESEARCH
(2021)
Article
Environmental Studies
Md. Abu Saim, Imran Khan
Summary: The study reveals that the solar home system mainly benefits households in Hatiya with night lighting and mobile phone charging, but users are not completely satisfied due to frequent replacements and charging issues. Unless the technical quality of the systems is improved, SHS will remain a burden to the owners.
ENERGY RESEARCH & SOCIAL SCIENCE
(2021)
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)
