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Eco-friendly and cost-effective methods applied to sustainable food industries
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Consumer purchasing behavior and its organizational evaluation toward solar water heating system
No full textRenewable energy sources are fundamental to a country's economic growth. Solar energy is one of these resources that has a favorable effect on economic growth. Turkey's solar energy industry is still in its early stages. Due to its location and degree of sunshine each year, the country has a great solar potential. Despite the huge potential, solar energy awareness and utilization are not widespread in all parts of Turkey. In order to identify the factors that affect consumers' decisions to utilize water heating systems, which is a sort of solar energy system, the purpose of this research is to examine these systems. In this study, all factors influencing consumers' decisions to acquire solar water heating systems were evaluated holistically for the first time. A questionnaire was used in the study, which is a quantitative research technique. The study identifies the variables that influence consumers' attitudes toward solar collector purchases and assesses the consequences from an organizational point of view. The study's results act as a guide for decision-makers. & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).European Commission; Turkish National Agency [2020-1-TR01-KA202-093467]This work was funded by the European Commission and supported by the Turkish National Agency (Project No: 2020-1-TR01-KA202-093467) . The authors want to thank the Turkish National Agency Vocational Education Coordinator. This study's abstract part was presented at the 17th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) , 6-10 November 2022 in Paphos, Cyprus
Protection of Multi-Terminal VSC HVDC Hybrid Transmission Line
No full text25th European Conference on Power Electronics and Applications (EPE ECCE Europe) -- SEP 04-08, 2023 -- Aalborg, DENMARKThis paper presents a fast fault detection scheme for a hybrid line in a multi-terminal (MT) voltage source converter (VSC) high voltage DC (HVDC) system. The proposed method is based on the primary and secondary protection scheme. The discrete wavelet transforms (DWT) with Teager energy operator (TEO) and voltage polarity comparison are applied to detect the faulted line for primary and secondary protection schemes, respectively. The main and backup protection schemes are based on non-pilot and pilot methods, respectively. The proposed main and backup methods are robust against high impedance faults (HIFs). The proposed protection scheme is verified under different fault points applied on an MT-HVDC test system. The case study is performed using PSCAD/EMTDC software. Simulation results show the effectiveness of the proposed protection method for the VSC HVDC transmission line
Stigmasterolün bitki ekstraktlarından ayrıştırılması için stigmasterol baskılanmış katı faz ekstraksiyon polimerlerinin hazırlanması
No full textFen Bilimleri Enstitüsü, Biyomühendislik ve Bilimleri Ana Bilim Dalı, Biyomühendislik Bilim DalıStigmasterol (Stg) bitkilerde serbest alkoller şeklinde ya da onların çökeltileri halinde, özellikle bitkisel yağlarda doğal halde bulunan fitosterol ailesinin bir üyesidir. Fitosterollerin insan sağlığına etkisi üzerine yapılan araştırmalarda bireylerin fitosterol alımı ile düşük yoğunluklu lipoprotein yani kolesterol düşürücü etkilerinin olduğu bildirilmiştir. Bulunan birçok değerli bileşende potansiyel olanlardan biri olan Stg, bugüne kadar birçok bitkiden izole edilmiş ve birçok farmakolojik ve biyolojik aktivite için değerlendirilmiştir. Ayrıca anti-inflamatuar, anti-osteoartrit, anti-aterojenik, antioksidan ve plazma kolesterol seviyelerini düşürme gibi sağlık üzerine olumlu etkileri ve anti kanser gibi koruyucu etkileri de bilinmektedir. Bu çalışmada, bitki örneğinden doğrudan Stg tayini için Stg baskılı katı faz ekstraksiyon polimerlerinin hazırlanması amaçlanmıştır. MAA, VBA, DVB-80 ve AIBN kullanılarak moleküler baskılanmış polimer çözeltisi hazırlanmıştır, sentezlenen polimerler daha sonra taramalı elektron mikroskobu (SEM), şişme testleri ve fourier transform infrared spektroskopisi (FTIR) ile karakterize edilmiştir. Stg-MIP polimerlerinin stigmasterol molekülü için seçiciliği, kolesterol ve ergosterol yarışmacı moleküllerine karşı incelenmiştir. Bu çalışmada Stg-MIP polimerlerinin tekrar kullanılabilirlikleri de incelenmiştir. Stg-MIP polimerleri, aynı adsorbent kullanılmak koşuluyla tekrarlanabilirlik deneyleri gerçekleştirilmiş ve adsorpsiyon kapasitesinde ciddi bir düşüş gözlemlenmemiştir.Stigmasterol (Stg) is a member of the phytosterol family, which is found naturally in plants in the form of free alcohols or in their sediments, especially vegetable oils. In studies on the effects of phytosterols on human health, it has been reported that individuals have low-density lipoprotein (cholesterol) lowering effects with phytosterol intake. Stg, one of the many valuable ingredients found, has been isolated from many plants to isolate and evaluated for many pharmacological and biological activities. It is also known to have positive effects on health such as anti-inflammatory, anti-osteoarthritis, anti-atherogenic, antioxidant and lowering plasma cholesterol levels, and protective effects such as anti-cancer. In this study, it was aimed to prepare Stg-imprinted solid phase extraction polymers for direct determination of Stg from plant extract. Molecular imprinted polymer solution was prepared using MAA, VBA, DVB-80 and AIBN, the synthesized polymers were then characterized by scanning electron microscopy (SEM), swelling tests and fourier transform infrared spectroscopy (FTIR). The selectivity of Stg-MIP polymers for the Stg has been studied against the competitor molecules of cholesterol and ergosterol. In this study, the reusability of Stg-MIP polymers was also examined. Stg-MIP polymers were used more than once for reproducibility experiments with the same adsorbent condition, and results showed a minimal loss in adsorption capacity
Testing a model of biopsychosocial successful aging based on socioemotional selectivity theory in the second half of life
No full textObjectives:We first tested a successful aging model, which included biomedical and psychosocial indicators. Next, we tested the assumptions on the social network characteristics of the socioemotional selectivity theory in a model where the outcome variable is successful aging. Design:Cross-sectional study. Setting:The study was carried out in municipal centers and nursing homes. Participants:A total of 478 adults (Mean age = 72.11, SD = 10.43) were enrolled. Measurements:Psychological Well-being Scale, Life Satisfaction Scale, Future Time Perspective, Katz Index of Independence in Activities of Daily Living Scale, Lawton Instrumental Activities of Daily Living Scale, and Mini-Mental State Examination Test were completed. Results:The structural equation modeling analyses indicated that higher social satisfaction mediated the association of the future time perspective with successful aging. Furthermore, there was another significant indirect sequential path from the future time perspective to successful aging. The path was first via the number of close social partners and second, social satisfaction. Conclusions:The findings highlight the importance of social satisfaction in the process of successful aging and provide novel evidence that the socioemotional selectivity theory can be considered as a biopsychosocial model of successful aging in future studies
A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach
No full textCoronavirus disease (COVID-19) was recognized in December 2019 and spread very severely throughout the world. In 2022 May, the total death numbers reached 6.28 million people worldwide. During the pandemic, some alternative vaccines were discovered in the middle of 2020. Today, many countries are struggling to supply vaccines and vaccinate their citizens. Besides the difficulties of vaccine supply, mass vaccination is a challenging but mandatory task for the countries. Within this context, determining the mass vaccination site is very important for recovering, thus a five-step approach is generated in this paper to solve this real-life problem. Firstly the mass vaccination site selection criteria are determined, and secondly, the spatial data are collected and mapped by using Geographical Information System (GIS) software. Then, the entropy weighting method (EWM) is used for determining the relative importance levels of criteria and fourthly, the multiple attribute utility theory (MAUT) approach is used for ranking the potential mass vaccination sites. Lastly, ranked alternative sites are analyzed using network analyst tool of GIS in terms of covered population. A case study is conducted in Gaziantep city which is the ninth most population and having above-average COVID-19 patients in Turkey. As a result, the fourth alternative (around the S,ehitkamil Monument) is chosen as the best mass vaccination site for the city. It is believed that the outcomes of the paper could be used by city planners and decision-makers
Experimental analysis and dynamic simulation of a solar-assisted industrial process using parabolic trough solar collectors under outdoor conditions
No full textSolar heat for industrial processes has gathered much attention and technological vision over time due to energy savings and environmental concerns even though there are various restrictions and complications in integrating solar collector technologies with industry. This study aims to cut thermal energy consumption and anthropogenic gas emissions in bulgur industry by proposing a novel experimental design for a solar-assisted process heat (SAPH) system. An experimental method has been addressed for the food treatment process integrated with parabolic trough solar collectors (PTSCs) and the proposed dynamic model of the system has been simulated for predicting the annual performance. The performance parameters of the individual system components have been analyzed during the days of the experiments conducted. Operational experience gained from the application reveals that the overall system efficiency depends keenly on the collector efficiency of the PTSCs used, load characteristics, and operating conditions. Furthermore, selecting an appropriate size for all heat-exchange devices is a critical parameter to improve the overall efficiency significantly and avert long-term temperature fluctuations. The long-term simulation results reveal that the annual efficiency can be obtained as 20.8 % for the SAPH system and further improved with system optimization.Scientific Research Projects Unit of Gaziantep University [MF.11.13]The research funding provided by the Scientific Research Projects Unit of Gaziantep University under the contract of MF.11.13 is acknowledged
Thresholds in the Technology-Driven Renewable Energy Transition
No full textThis study examines the nonlinear impacts of technological development on the renewable energy transition in 54 countries from 2002 to 2019. The empirical findings indicate the following: (i) An increase in technology leads to an increase in renewable energy production in high-income countries, whereas technological development triggers nonrenewable energy production in low-income countries. (ii) Small government size and low levels of financial development hurt the technology-driven renewable transition in low-income countries, while large government size and greater levels of financial development crowd out the stimulative effects of technology on the clean transition in high-income countries. (iii) The highest volatility in the technology elasticity of renewable production comes from countries with different governance qualities. (iv) The renewable energy transition process entails a larger per capita income in high-income countries than in low-income countries
Frequency Domain Improvements to Texture Discrimination Algorithms
No full textAs the production speeds of factories increase, it becomes more and more challenging to inspect products in real time. The goal of this article is to come up with a computationally efficient texture discrimination algorithm by first testing their ability to localize defects and then increase their efficiency by removing less effective parts of them. Therefore, abilities of the most popular texture classification algorithms such as the GLCM, the LBP and the SDH to localize defects are tested on different datasets. These tests reveal that, on small windows GLCM and SDH perform better. Frequency properties of the textures are used to fine-tune the parameters of these algorithms. Further experiments on three different datasets prove that the accuracy of the algorithms are increased almost twice while decreasing the processing time considerably © 2023, International Journal of Advanced Computer Science and Applications.All Rights Reserved.Adana Alparslan Türkeş Science and Technology University, (16103010
The Effects of Ball-Mill Grinding Parameters on Lignite Morphology
No full textIn recent years, because of the decreasing liberation sizes of the minerals, processes such as grinding need to be evaluated in more detail. As is well known, size reduction processes are very important both in mineral processing and in many industrial applications. However, to increase the efficiency of the processes after size reduction, variations in particle morphology should also be evaluated, along with particle size. Although the effectiveness of grinding media (ball, rod, autogenous) has been shown for different materials, there are very few studies on the effect of the powder/grinding media ratio and grinding time on particle morphology in terms of shape factor and roughness values. This study aims to investigate the variations in the morphology of lignite samples under different grinding conditions such as grinding time and powder/grinding media ratio (U). The results of these analyses showed that while the d80 size of the ground lignite was 1.1 mm after 2 min grinding time, it decreased to 0.5 mm following 15 min grinding time. The roundness values of particles vary in the range of 0.746-0.790 with increasing grinding time. In addition to the grinding time, while the roundness of particles was found to be 0.739 for 0.34 U values (powder/grinding medium rate), it increased to 0.788 when the U value was adjusted to 0.67. The average roughness (Ra) values of particles increased from 60.9 nm to 107.9 nm upon increasing the grinding time from 2 min to 16 min. Due to these findings, it can be suggested that lignite samples became rounder with increasing grinding times, and roughness analyses made in a 10 x 10 & mu;m surface area with an Atomic Force Microscope (AFM) indicated that particle roughness increased in direct proportion to grinding time.Alparslan Turkes Science and Technology University Science Research Coordination Unit [20103003]This research was supported by Adana Alparslan Turkes Science and Technology University Science Research Coordination Unit (Project Number: 20103003)