Article
Environmental Sciences
Hemant Kumar Pandey, Vishal Kumar Singh, Sudhir Kumar Singh
Summary: This study delineated the groundwater potential zones in a critical and drought-affected area in Uttar Pradesh, India, using GIS tools and remote sensing data. Thematic maps were created based on various factors, and a multi-criteria decision making method was used to assign weights to these factors. The study also tested the Dempster-Shafer model and found that it had higher accuracy than the analytical hierarchy process (AHP) model.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Shefali Varshney, Rajinder Sandhu, Pradeep Kumar Gupta
Summary: This paper proposes an effective solution for resource ranking and allocation in the Fog environment based on multi-criteria decision-making. The proposed algorithms utilize the modified edition of TOPSIS and AHP and consider QoE parameters for resource mapping. The experimental results show that the proposed approach reduces the response time by an average of 7.5s compared to the Cloud model and the Fog model.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2023)
Article
Green & Sustainable Science & Technology
Luisa Andrea Gonzalez-Cruz, Luis Fernando Morales-Mendoza, Alberto Alfonso Aguilar-Lasserre, Catherine Azzaro-Pantel, Paulina Martinez-Isidro, Ramiro Meza-Palacios
Summary: The study aims to evaluate various biorefinery ecodesign alternatives for the production of biodiesel as an alternative to fossil fuels. Through decision support techniques, it was found that the best ecodesign alternative for the first case study involves utilizing jatropha biomass to produce biodiesel, glycerin, potassium phosphate, heat and energy, bio-oil, and bio-carbon, while the selection in the second case study is inconclusive.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Energy & Fuels
M. S. Garcia-Cascales, A. Molina-Garcia, J. M. Sanchez-Lozano, A. Mateo-Aroca, N. Munier
Summary: This paper focuses on the main challenge of groundwater pumping solutions in reducing fossil fuel dependence and integrating renewables, while also considering sustainability criteria. Through analyzing and comparing different Multi-Criteria Decision Analysis methods, the relevance of subjective criteria weights is highlighted.
Article
Construction & Building Technology
Oemer Ekmekciog, Kerim Koc, Ismail Dabanli, Ali Deniz
Summary: This study assessed a list of mitigation strategies to address urban water scarcity, using fuzzy set theory and analytical hierarchy process (AHP) combined with technique for order of preference by similarity to ideal solution (TOPSIS) to determine weights and ranking. The findings showed that organized land use planning and limiting new growth in urban areas were the most promising strategies. Additionally, conducting integrated water resource planning and promoting the use of sustainable materials domestically can enhance urban resilience and sustainability.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Civil
Seyed Farhan Moosavian, Daryoosh Borzuei, Abolfazl Ahmadi
Summary: In modern competitive markets, cost and quality are the two main factors, especially in leading industries such as urban public service companies. This research uses the Prevention, Assessment, and Failure model to select cost-imposing options and the Multiple-Criteria Decision-Making method to identify the option that creates the most cost.
WATER RESOURCES MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Hubert Anysz, Aleksander Nical, Zeljko Stevic, Michal Grzegorzewski, Karol Sikora
Summary: Multi-criteria decision-making methods assist decision makers in structuring needs, evaluating solutions, and deprive the decision maker of the ability to calculate the financial result of the decision.
Article
Materials Science, Composites
Ramkumar Yadav
Summary: This study investigates the optimal selection of dental composites using AHP and TOPSIS, which reveals that the AHP-TOPSIS method is an effective MCDM strategy for ranking under different performance defining criteria.
POLYMER COMPOSITES
(2021)
Article
Environmental Sciences
Ramin Nabizadeh, Samira Yousefzadeh, Kamyar Yaghmaeian, Mahmood Alimohammadi, Zahra Mokhtari
Summary: Access to healthy drinking water is crucial, and the rise in bottled water consumption has led to difficulties in choosing the highest-quality brands. Multiple-criteria decision-making methods, such as FAHP and TOPSIS, were used to rank different brands of bottled water based on various chemical and bacteriological parameters. Carcinogenic chemical compounds were found to be the most important in ranking bottled water brands, followed by bacteriological factors, pathogenic chemical compounds, and other chemical compounds with varying levels of toxicity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Thermodynamics
Tileuzhan Mukhamet, Sultan Kobeyev, Abid Nadeem, Shazim Ali Memon
Summary: This study presents a methodology for ranking phase change materials based on the AHP-TOPSIS and Fuzzy AHP -Modified Fuzzy TOPSIS methods combined with building energy simulations. Various criteria including thermophysical, economic, chemical, and environmental factors were considered, and the methodology was demonstrated and compared in eight cities of the tropical savanna climate zone, showing robustness in the ranking results.
Article
Green & Sustainable Science & Technology
Seyyed Ali Sadat, Mohammadreza Vakilalroaya Fini, Hamed Hashemi-Dezaki, Mohammad Nazififard
Summary: Iran has great potential for solar energy utilization, but faces various barriers in achieving renewable energy goals. Comprehensive studies using multiple-criteria decision-making and qualitative methods are necessary to overcome these obstacles.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Mathematics
Pham Ngoc Toan, Thanh-Tuan Dang, Le Thi Thu Hong
Summary: Education has been drastically impacted by the global pandemic COVID-19, leading to a significant rise in e-learning as the primary mode of teaching. The integrated approach using grey systems theory offers a comprehensive method to evaluate and select the best e-learning platform for network teaching, demonstrating its applicability and advantages in the educational setting.
Article
Biodiversity Conservation
Arjun B. Doke, Rajendra B. Zolekar, Hemlata Patel, Sumit Das
Summary: Groundwater, an essential natural resource for various activities, was geospatially mapped using GIS, MCDM, AHP, and remote sensing techniques in this study. The methodology and results were accurate in determining different groundwater potential zones and can be useful in similar drought-prone regions globally.
ECOLOGICAL INDICATORS
(2021)
Article
Computer Science, Information Systems
L. Jayakumar, S. Janakiraman
Summary: Emerging wireless applications require more spectrum space to accommodate the rapid growth of users. Cognitive radio technology provides a better model for the next-generation wireless environment. However, it faces challenges in terms of violating current spectrum allocation policies and ensuring secure transmission and optimal channel selection for uninterrupted data transmission.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Multidisciplinary Sciences
Shervin Zakeri, Prasenjit Chatterjee, Dimitri Konstantas, Fatih Ecer
Summary: This paper proposes a new decision-making method called the simple ranking process (SRP) to solve complex material selection problems. Unlike current MCDM methods, the SRP method eliminates the normalization step and only considers the ranks of alternatives in each criterion. The results demonstrate the reliability of SRP, which increases with the number of criteria.
SCIENTIFIC REPORTS
(2023)
Article
Automation & Control Systems
J. M. Sanchez-Lozano, M. Fernandez-Martinez, M. T. Lamata
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2019)
Article
Chemistry, Multidisciplinary
Alvaro Rubio-Aliaga, Angel Molina-Garcia, M. Socorro Garcia-Cascales, Juan Miguel Sanchez-Lozano
APPLIED SCIENCES-BASEL
(2019)
Article
Green & Sustainable Science & Technology
A. Rubio-Aliaga, M. S. Garcia-Cascales, J. M. Sanchez-Lozano, A. Molina-Garcia
Article
Computer Science, Artificial Intelligence
J. M. Sanchez-Lozano, O. Naranjo Rodriguez
APPLIED SOFT COMPUTING
(2020)
Article
Green & Sustainable Science & Technology
J. M. Sanchez-Lozano, F. J. Salmeron-Vera, C. Ros-Casajus
Article
Engineering, Aerospace
Michael C. F. Bazzocchi, Juan Miguel Sanchez-Lozano, Houman Hakima
Summary: This study presents an approach for prioritizing space debris through Multi-Criteria Decision-Making methodologies and fuzzy logic, considering various criteria such as orbit, size, collision probability, etc. The method involves assigning attributes, preparing a questionnaire for experts, examining over two thousand critical debris objects, and using fuzzy versions of Analytic Hierarchy Process and Topsis for aggregation of quantified attributes to identify high-priority debris objects for removal.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Astronomy & Astrophysics
M. Fernandez-Martinez, J. M. Sanchez-Lozano
Summary: The extension of fuzzy sets to broader contexts is a leading area of research in artificial intelligence, aiming to address decision-making problems in the real world where obtaining accurate data is difficult. Recent introduction of spherical fuzzy sets allows for more precise modeling of problems based on human nature, expanding membership levels under imprecise circumstances. The study applies the spherical fuzzy set version of TOPSIS in the context of planetary defense, showing that kinetic impactors are the most suitable alternative and the spherical fuzzy set version of TOPSIS is more sensitive to expert information compared to triangular fuzzy sets.
ADVANCES IN ASTRONOMY
(2021)
Article
Astronomy & Astrophysics
J. M. Sanchez-Lozano, A. Moya, J. M. Rodriguez-Mozos
Summary: This study utilized multiple-criteria decision-making methodologies and fuzzy logic to analyze the habitability potential of 1798 exoplanets. The results indicated that Kepler-442b, Kepler-062e/f, and LHS_1140b are the best candidates for searching for biomarkers, while TRAPPIST-1e is the most feasible candidate considering technical limitations.
ASTRONOMY AND COMPUTING
(2021)
Article
Engineering, Environmental
Carmen Fernandez-Lopez, Mariano Gonzalez Garcia, Juan Miguel Sanchez-Lozano
Summary: A fuzzy version of a Multi-Criteria Decision Making (MCDM) method called TOPSIS is developed to help in the decisions to design WWTPs when the efficiency of PhAC removal must be considered. Through the study of eleven alternatives (WWTPs) located in the Southeast of Spain, it was found that the most efficient WWTPs in the removal of each PhAC can be classified, indicating that technology standard is not the most important factor.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Energy & Fuels
M. S. Garcia-Cascales, A. Molina-Garcia, J. M. Sanchez-Lozano, A. Mateo-Aroca, N. Munier
Summary: This paper focuses on the main challenge of groundwater pumping solutions in reducing fossil fuel dependence and integrating renewables, while also considering sustainability criteria. Through analyzing and comparing different Multi-Criteria Decision Analysis methods, the relevance of subjective criteria weights is highlighted.
Article
Computer Science, Artificial Intelligence
Juan Miguel Sanchez-Lozano, Adela Ramos-Escudero, Isabel C. Gil-Garcia, Ma Socorro Garcia-Cascales, Angel Molina-Garcia
Summary: The research compares various fuzzy MCDM methodologies for selecting optimal locations of offshore wind power plants, showing the robustness of fuzzy TOPSIS method and the minimal impact of different fuzzy membership functions on the fuzzy VIKOR method.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Automation & Control Systems
J. M. Sanchez-Lozano, J. C. Correa-Rubio, M. Fernandez-Martinez
Summary: This paper presents the first study on international military high-performance aircrafts and their defense weaponry systems, using fuzzy logic for analysis. The results indicate that the F-16 jet and the SCALP EG missile are the best choices.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
M. Socorro Garcia-Cascales, Angel Molina-Garcia, Juan Miguel Sanchez-Lozano, Alvaro Rubio-Aliaga, Nolberto Munier
2020 20TH IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2020 4TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE)
(2020)
Article
Engineering, Aerospace
J. M. Sanchez-Lozano, M. Fernandez-Martinez, A. A. Saucedo-Fernandez, Josep M. Trigo-Rodriguez
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
