Article
Green & Sustainable Science & Technology
Lihui Zhang, Jianing Wang, Songrui Li
Summary: Biogas power generation in China is lacking in industrialization, and the regional suitability for this industry needs to be evaluated. This study constructs an evaluation index system and proposes a multilevel fuzzy comprehensive evaluation method. The results show an unbalanced distribution among regions, with the eastern region being superior to the western region. Henan and Hebei are the most suitable regions for development, while Ningxia, Hainan, Qinghai, and Tibet are not. The suitability of biogas power generation matches the development level in most regions, except for Sichuan and Jiangsu.
Article
Green & Sustainable Science & Technology
Hosein Arman
Summary: Different FAHP methods have been developed for conventional FNs, but they fail to accurately reflect experts' preferences and may cause misleading results. To overcome this, we propose four FAHP methods for PFNs and introduce an indirect defuzzification method for calculating fuzzy local weights. Numerical examples and a real-life case of supplier ranking based on PFNs are provided to demonstrate the effectiveness of the proposed methods.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Information Systems
Zhou-Jing Wang
Summary: This paper analyzes deficiencies in recent fuzzy eigenvector methods and introduces two frameworks of additively normalized triangular fuzzy priorities (ANTFPs) to characterize equivalent fuzzy priority vectors. By establishing three eigenproblems with positive real matrices and developing an eigenvector based linear program, the study aims to obtain support interval based ANTFPs from fuzzy multiplicative preference relation matrices.
INFORMATION SCIENCES
(2021)
Article
Thermodynamics
Guangyu Qin, Meijuan Zhang, Qingyou Yan, Chuanbo Xu, Daniel M. Kammen
Summary: This study evaluates regional energy network comprehensively by establishing evaluation criteria system, utilizing cloud model, and developing fuzzy analytic hierarchy process. The evaluation results in a good grade for the demonstration project, which is consistent with the actual situation.
Article
Automation & Control Systems
Xiaofeng Chen, Yanting Fang, Junyi Chai, Zeshui Xu
Summary: This paper investigates the integration of intuitionistic fuzzy (IF) sets and Analytical Hierarchy Process (AHP) to maximize advantages. Quantitative differences between AHP weights and normalized defuzzified IF-AHP weights are illustrated, revealing qualitative and quantitative disparities between AHP and IF-AHP. The study identifies conditions and strategies for utilizing IF-AHP over AHP, with data experiments and case studies for validation.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Hosein Arman, Abdollah Hadi-Vencheh, Aref Arman, Abbas Moslehi
Summary: This study extends methods for extracting local weights to the fuzzy analytic hierarchy process and proposes an approach to integrate different local weights. By indirectly defuzzifying uncommon fuzzy numbers, the applicability of multi-attribute decision-making methods is extended.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Biotechnology & Applied Microbiology
Sha-sha Wang, Bao-lai Song
Summary: Accurate evaluation of water yield property is crucial for mine water inrush risk analysis and engineering measures selection. This study selected and analyzed five hydrogeological parameters to rank areas for potential mine inflow risk, using a FAHP methodology and GIS for data processing and spatial analysis. The results showed an increase in sandstone aquifer water yield property from northeast to southwest, consistent with hydrogeological understanding of the study area. The findings provide valuable insights for engineering design and construction.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Computer Science, Artificial Intelligence
Ayse Ovgu Kinay, Baris Tekin Tezel
Summary: The study proposes two different FAHP methods based on fuzzy numbers ranking methods, among them the MFAHP outperforms other methods in terms of accurate weight and computational load.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Environmental
Qiusheng Song, Peng Jiang, Song Zheng
Summary: This paper proposes a safety assessment method for chemical plant production process that comprehensively considers the safety influencing elements of human factors. The method combines analytic hierarchy process and cloud model for evaluation, and simulation results show that it is reliable, practical, and scientific.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Computer Science, Theory & Methods
Valentina M. Nejkovic, Miroslav S. Milicevic, Goran Janackovic, Miroljub Grozdanovic
Summary: This paper presents methods for measuring and improving energy parameters and quality in high-frequency inductive steel tube welding. The improvement is achieved through reduced energy and power consumption and improved weld quality. Key welding quality and energy efficiency indicators are determined using a group fuzzy analytic hierarchy process, involving five experts and eleven indicators. A new impeder using Fluxtrol magneto-dielectric material is designed based on selected indicators and practical analysis results, effectively transferring electromagnetic energy into heating energy. Practical results confirm the quality and efficiency of the proposed solution.
ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Zhou-Jing Wang
Summary: This study develops a modeling method for triangular fuzzy multiplicative preference relations and proposes an index for measuring the consistency of TFMPRs, as well as two logarithmic least square models. A comparative analysis is conducted through a numerical example to clarify the effectiveness and advantages of the proposed method, and the practicality of the proposed triangular FAHP approach is demonstrated.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Ran Tian, Saisai Yang, Chu Wang, Zhongyu Ma, Chunming Kang
Summary: This paper proposes a drug-shelf matching algorithm based on fuzzy analytic hierarchy process and Bayesian convolutional neural network (FAHP-BCNN), which improves matching efficiency through dynamic matching process. The experimental results show that the algorithm exhibits better matching results in all three scenarios with different quantity ratios of drugs and shelf matching.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Mathematics, Applied
Dusan J. Simjanovic, Nenad O. Vesic, Jelena M. Ignjatovic, Branislav M. Randelovic
Summary: This paper aims to upgrade the concept of Spherical Fuzzy Sets by considering hesitancy as a function. The use of geodesic lines instead of great circles is also explored, connecting Fuzzy logic with Differential geometry. The application of Surface Fuzzy Sets to AHP for ranking sub-criteria in B2C e-commerce websites is also discussed.
Article
Green & Sustainable Science & Technology
Jo Yee Ho, Jecksin Ooi, Yoke Kin Wan, Viknesh Andiappan
Summary: This paper aims to develop a decision-making tool to assist manufacturing companies in selecting appropriate technologies for the synthesis of WWTP, considering economic and environmental factors, to meet local discharge regulations. FAHP assigns weights to criteria and alternatives based on judgments from industrial domain experts.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Sharaf AlKheder, Hajar Al Otaibi, Zahra Al Baghli, Shaikhah Al Ajmi, Mohammad Alkhedher
Summary: The construction of megaprojects is crucial for the development and economic growth of any country, especially in developing nations. However, megaprojects in Kuwait face restrictions that hinder their execution and lead to significant delays. This study aims to develop a complexity measurement model for megaprojects in Kuwait, focusing on the New Kuwait University campus as a case study. The study applies a hybrid fuzzy analytic hierarchy process (FAHP) method and compares it with the conventional AHP method. The findings reveal the complexity factors and their varying levels in different dimensions, emphasizing the importance of assessing and understanding these complexities for the successful completion of megaprojects.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
