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Authors - 10602
Gábor Koltai
16315979200
Aleksandra Angeloska
57204212122
Márk Farkas
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Attila Csaba Kondor
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Publications - 6674
Application of Z-number based fuzzy MCDM in solar power plant location selection problem in Spatial planning
Publication Name: Energy Reports
Publication Date: 2024-12-01
Volume: 12
Issue: Unknown
Page Range: 4034-4054
Description:
In order to achieve sustainable energy consumption and development goals, it is of great importance to find suitable locations for the construction of solar power plants. In this study, Geographic Information System (GIS) and Z-Number iteration of Fuzzy Logarithm Additive Weights Methodology (F-LMAW), a recently adopted Multi-Criteria Decision Making Analysis (MCDA) technique, are used to identify the best locations for solar power plant construction in Mersin province. Nineteen criteria were selected for the study and their relative weights and usefulness in ranking the solar power plant locations were estimated. The Weighted Linear Combination (WLC) technique was used to determine the suitability index for solar power plant siting in the study area. According to the analysis made by taking into account the expert opinions for the site selection of solar power plants, the solar radiation criterion was the most important criterion with a weight value of 0,0664, while the distance from the river criterion was the least important criterion with a weight value of 0,0265. A potential suitability map for the solar power plant was produced with the suitability index values. According to the suitability index values, the study area exhibited suitability degrees for solar power plant siting ranging from “suitable (0,0038 %)” to “moderately suitable (0,0034 %)” and “very slightly suitable (0,0033 %)”. Silifke and Mut regions are considered as good locations for solar power plants in Mersin province. The robustness of the proposed technique was determined by sensitivity analysis.
Open Access: Yes
Uncovering the dynamics of human-AI hybrid performance: A qualitative meta-analysis of empirical studies
Publication Name: International Journal of Human Computer Studies
Publication Date: 2025-11-01
Volume: 205
Issue: Unknown
Page Range: Unknown
Description:
Human-AI collaboration is an increasingly important area of research as AI systems are integrated into everyday workflows and moving beyond mere automation and augmentation to more collaborative roles. However, existing research often overlooks the dynamics and performance aspects of this interaction. Our study addresses this gap through a review of empirical AI studies from 2018–2024, focusing on the key factors influencing human-AI collaboration outcomes within the spectrum of Human-Centered Artificial Intelligence (HCAI). We identify 24 critical performance factors that influence hybrid performance, grouped into four categories using thematic analysis. Then, we uncover and analyze the complex, non-linear interdependencies between these factors. We present these relationships in a factor dependency graph, highlighting the most influential nodes. The graph and specific factor interactions supported by the papers reveal a quite complex web, an interconnectedness of factors. As opposed to being an easy-to-predict combination of inputs, human-AI collaboration in a given context likely leads to a dynamic, evolving system with often non-linear effects on its hybrid performance. Our findings and the previous research on automation technologies suggest that the application of AI tools in collaborative scenarios would benefit from a comprehensive performance framework. Our study intends to contribute to this future line of research with this initial framework.
Open Access: Yes
Automotive Application of Chemically Foamed rPET
Publication Name: Polymers
Publication Date: 2025-05-01
Volume: 17
Issue: 9
Page Range: Unknown
Description:
This study investigated the automotive applicability of parts produced from a newly developed foamed recycled polyethylene terephthalate (rPET). The injection molded part contained a combination of both endothermic and exothermic foaming agents and phosphorus (Exolit OP 1240) (OP)- and melamine polyphosphate (MPP)-based flame retardant agents. The parts were produced using a breathing mold technique to achieve a suitable level of foaming. The aim was to produce lighter parts made of recycled material that also complied with the fire safety automotive industry standards. Computer tomographic scans revealed the foam structure formed successfully, which contributed to an improved strength-to-weight ratio. The scans further showcased that larger cells tended to form in the thicker areas within the part, while smaller cells generally formed in the thinner areas. Finite element simulations showed that the large cell formation in the thicker parts had no effect on the part’s load bearing property, and there were not stress concentration points after the boundary conditions were defined. The sample produced from the material was determined to be a possible replacement of small-sized automotive components.
Open Access: Yes
Modelling of the Torsional Simple Shear Test with Randomized Tresca Model Properties in Midas GTS NX
Publication Name: Geotechnical and Geological Engineering
Publication Date: 2023-05-01
Volume: 41
Issue: 3
Page Range: 1937-1946
Description:
The dynamic properties of soil obtained from the torsional simple shear test (TOSS) are assumed to be uniform throughout the specimen. For some exceptional soils, this may hold true, but for the most majority of soils that we examine, it is obviously not the case, and this level of non-uniformity depends on the conditions in which the soil was formed. In this paper, we discuss a method of modelling inherently non-uniform soil specimens by representing them with elements that have an elasto-plastic simple Tresca material model with different properties (Elastic young modulus and yield stresses). The combination of properties that can simulate the nonlinear behaviour of the soil is found and calibrated using a model of the TOSS test built in the finite element software Midas GTS NX. Furthermore, the influence of rigid inclusions in the soil is studied and the results show an increase in stiffness with the increasing percentage of inclusion in the soil.
Open Access: Yes
Q-Fractional Hesitant Fuzzy Sets and Their Correlation Coefficients: Multi-Criteria Decision Making Technique for Selection of Agricultural Land to Cultivate Apples Crops
Publication Name: IEEE Access
Publication Date: 2025-01-01
Volume: 13
Issue: Unknown
Page Range: 134057-134069
Description:
The q-Fractional Fuzzy Sets (q-FrFSs) offers information in Membership Grade (MG) and Non-membership Grade (NMG) of an object; however, both grades have the hesitancy factor because complex information usually does not give single MG and single NMG. Therefore, in this study we initiate the concept of q-Fractional Hesitant Fuzzy Sets (q-FrHFSs) and its basic properties. In q-FrHFSs not only hesitancy factor is taken into account but it also consider all possible values of uncertainties in {0,1}× {0,1}. Thus Correlation Coefficients (CCs) on q-FrHFSs are necessary to cope uncertain information with hesitancy, MGs and NMGs. In this study we introduce two types of CCs namely CCs on q-FrHFSs and weighted CCs on q-FrHFSs. We investigate underlying properties of these CCs and give a MCDM method on q-FrHFSs environment. We consider an application of our method to agricultural land selection across a set of cities for cultivation of apples crop. At the end, we compare our method of q-FrHFSs to some existing frameworks.
Open Access: Yes
Understanding the Mechanisms of Fe Deficiency in the Rhizosphere to Promote Plant Resilience
Publication Name: Plants
Publication Date: 2023-05-01
Volume: 12
Issue: 10
Page Range: Unknown
Description:
One of the most significant constraints on agricultural productivity is the low availability of iron (Fe) in soil, which is directly related to biological, physical, and chemical activities in the rhizosphere. The rhizosphere has a high iron requirement due to plant absorption and microorganism density. Plant roots and microbes in the rhizosphere play a significant role in promoting plant iron (Fe) uptake, which impacts plant development and physiology by influencing nutritional, biochemical, and soil components. The concentration of iron accessible to these live organisms in most cultivated soil is quite low due to its solubility being limited by stable oxyhydroxide, hydroxide, and oxides. The dissolution and solubility rates of iron are also significantly affected by soil pH, microbial population, organic matter content, redox processes, and particle size of the soil. In Fe-limiting situations, plants and soil microbes have used active strategies such as acidification, chelation, and reduction, which have an important role to play in enhancing soil iron availability to plants. In response to iron deficiency, plant and soil organisms produce organic (carbohydrates, amino acids, organic acids, phytosiderophores, microbial siderophores, and phenolics) and inorganic (protons) chemicals in the rhizosphere to improve the solubility of poorly accessible Fe pools. The investigation of iron-mediated associations among plants and microorganisms influences plant development and health, providing a distinctive prospect to further our understanding of rhizosphere ecology and iron dynamics. This review clarifies current knowledge of the intricate dynamics of iron with the end goal of presenting an overview of the rhizosphere mechanisms that are involved in the uptake of iron by plants and microorganisms.
Open Access: Yes
Microalgae-Based Strategies for Soil Health and Crop Productivity: Mechanisms, Challenges, and Pathways to Climate-Resilient Agriculture
Publication Name: Agronomy
Publication Date: 2025-11-01
Volume: 15
Issue: 11
Page Range: Unknown
Description:
Microalgae hold significant potential as nature-based solutions in agriculture, offering benefits such as nitrogen fixation, enhanced nutrient cycling, stimulation of beneficial microbes, strengthening soil structure, and carbon sequestration. Yet, despite their potential, the role of microalgae, particularly through their interactions with soil systems, remains largely underexplored. Their ability to generate bioactive substances such as phytohormones, amino acids, and extracellular polymeric substances (EPS) fosters soil aggregation, nutrient availability, water retention, biological soil crust, and soil restoration, which ultimately supports plant growth and productivity. Moreover, the thermochemical conversion of microalgal biomass into biochar offers an effective strategy to improve carbon sequestration while simultaneously enriching soil nutrient content, thereby increasing crop productivity. While microalgae-based products often demonstrate strong efficacy under laboratory and greenhouse conditions, their performance in the field remains constrained by soil physicochemical properties, ecological incompatibility, competition with native microbial communities, and environmental variability, leading to inconsistent outcomes and highlighting the need for soil-specific, field-relevant strategies. Furthermore, the lack of standardized and cost-effective cultivation, formulation, and processing, along with low biomass yield and energy-intensive production, continues to limit their large-scale adoption in agricultural systems. Therefore, this narrative review aimed to discuss the mechanisms of coupling microalgal biomass and biochar to enhance soil health and crop growth, while also addressing field-performance constraints. It provides a balanced view of the potential and challenges of microalgae-based technologies for sustainable soil management and crop productivity. Overall, microalgae possess significant potential to improve soil health, increase crop yields, and contribute to sustainable agriculture that can withstand climate challenges.
Open Access: Yes
Investigation of the cascade utilization of LNG cold energy using total site heat integration method
Publication Name: Thermal Science and Engineering Progress
Publication Date: 2025-11-01
Volume: 67
Issue: Unknown
Page Range: Unknown
Description:
Liquefied natural gas (LNG) undergoes regasification before delivery to end users, releasing a large amount of cold energy that is significant for efficient utilization. Therefore, based on the principle of “temperature counterpart, cascade utilization”, this study integrates Pinch Analysis with Total Site Heat Integration (TSHI) to propose two new types of integrated systems for LNG cold energy cascade utilization. The first system, designed for rich-gas LNG, comprises light hydrocarbon separation, cryogenic comminution of rubber, electricity generation by organic rankine cycle, and heat management of data center by direct cooling (LHS-CCR-ORC-DC). The second system, designed for lean gas LNG, replaces the LHS unit with an air separation process (ASP) while retaining CCR, ORC, and DC. Through the synergistic optimization of the Grand Composite Curve (GCC) and total site composite curve (TSCC), the proposed system realizes the cascade and efficient utilization of the LNG cold energy in the whole temperature range (−160 °C to 10 °C). Thermodynamic analysis shows that the energy utilization efficiency of the LHS-CCR-ORC-DC and ASP-CCR-ORC-DC systems is improved by 50.06 % and 40.93 %, respectively, compared with the single cold energy utilization mode. Economic evaluation indicates net present values of 1.81 × 108 $ and 2.32 × 108 $ for the two systems, with levelized costs of energy of 0.062 $/kWh and 0.055 $/kWh, respectively. By replacing fossil‐fuel power generation and compression‐based refrigeration, the integrated systems achieve annual CO2 reductions of 261.84 kt and 238.20 kt, respectively. This study provides theoretical basis and technical support for the efficient utilization of LNG cold energy and for the synergistic optimization of its cascade utilization in industrial parks.
Open Access: Yes
Multiple Roles of Hydrogen in Future Mobility
Publication Name: Chemical Engineering Transactions
Publication Date: 2024-01-01
Volume: 114
Issue: Unknown
Page Range: 895-900
Description:
Sustainability and GHG reduction are the pivotal points of any future mobility. The European policymakers prioritised the BEV technology from 2035 onward. This decision was based on the universal consensus that the BEV technology offers the highest efficiency and that sufficient green energy will be available on time. In this study, the authors will analyse the feasibility of this concept. Due to the stochastic availability of renewable power, a reliable power supply requires adequate storage capacity at the necessary scale and time. The other universal statement is that the production of e-fuels is too inefficient to compete with BEV technology. Based on different publications, the authors are convinced that only chemical storage can fulfil the requirements nationally or globally. The inevitable first step of this energy conversion is water electrolysis, energised by renewables. The losses occurring during the production of green hydrogen are an unavoidable burden on green electricity production. Due to the availability of the produced hydrogen, these losses do not count toward producing e-fuels like methanol, methane, and ammonia. In that case, the baseline of any efficiency comparison alters, and alternative and e-fuels will severely challenge the BEV technology in multiple applications and locations. These fuels will allow further improvements in the ICE technology. The most important finding of this study is that the investigation of separated sub-systems will not deliver the optimum solution for mobility. Only a holistic approach considering the interactions between power generation, power storage, and propulsion technology leads to reliable answers, and hydrogen is the key element of the solution.
Open Access: Yes
DOI: 10.3303/CET24114150
