Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Book Part Design and Analysis of a Solar-Assisted Combined Cooling, Heating, and Power System for Smart Cities: Case Study From Doha(IGI Global, 2025-08-22) Akroot, A.; Almohammedi, A.A.; Talal, W.The rising demand for sustainable and energy-efficient solutions in urban areas has driven interest in renewable systems for smart cities. This chapter presents a solar-assisted combined cooling, heating, and power (SA-CCHP) system designed for Doha, Qatar, where high solar radiation and cooling needs prevail. Powered solely by a parabolic trough collector (PTC) field, the system delivers net power from 1200 kW in winter to 195 kW in summer, with cooling loads of ~2100-3400 kW and heating loads of ~90)00-14500 kW. Increasing the superheating degree at the ORC turbine inlet enhances power and heating but reduces cooling, while raising the pressure ratio (A) from 0.5 to 0.8 boosts net output and efficiency, cutting CO2 emissions from 0.22 to 0.13 kg/kWh. Overall energy efficiency rises from 85% to 90% and exergy efficiency from 76% to 78.5%, while costs decline from $40/hr to $36/hr, confirming both environmental and economic viability. The study demonstrates the feasibility of solar-powered CCHP systems as scalable models for achieving clean energy goals in smart cities. © 2026, IGI Global Scientific Publishing. All rights reserved.Book Part Citation - Scopus: 2Using Night-Time Lights and Statistical Data to Measure Regional Inequality in Turkey(IGI Global, 2024-04-12) Ustaoglu, EdaPoverty and inequality are the outstanding challenges in both developing and developed countries in the globe. Using Suomi National Polar-orbiting Partnership (NPP)-Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light (NTL) images and socio-economic data from administrative sources, this chapter focuses on the association between nighttime lights and economic activities with an aim of computing regional income inequality indices for the year 2015 in Turkey. Gini, the Atkinson and Theil statistics were used to establish regional inequality indices using both NTL and statistics data. The findings indicated that urban NTLs are strongly correlated with economic activity while the correlation is much weaker regarding rural nightlights and agricultural output. It can be noted that there was increasing regional inequality in north-west, south, and south-east regions whereas regional equality was more homogeneously distributed. The results indicated that NPP-VIIRS nightlight data can help to perform regional inequality assessments for the urban areas in Turkey. © 2024 Elsevier B.V., All rights reserved.Book Part Rule of Law, International Trade, and Corporate Financing Decisions in Europe: Evidence From the COVID-19 Pandemic(IGI Global, 2022-11-18) Polat, Ali YavuzThis chapter investigates whether the institutional environment that the firms operate has an impact on their leverage choice. Namely, rule of law is used as an institutional variable. Considering that better implementation of rule of law impacts positively firms' export performance, total exports in each country are also used as the other main explanatory variable. The findings show that both institutional variables and exports negatively and significantly affect the leverage level. This implies that firms in favorable institutional environment tend to borrow less, which results with lower leverage. Moreover, this study finds that the COVID-19 pandemic period as an unprecedented shock to economies pushed the leverage levels higher. Regarding the implications of the findings, firms' capacity to access external finance especially during a significant crisis period depends on the institutional environment. Namely, the effective implementation of rule of law should be first priority for the policy makers. © 2023 Elsevier B.V., All rights reserved.Book Part Citation - Scopus: 2Metal Nanoparticles Via Green Synthesis: A New Cancer Treatment Approach(IGI Global, 2023-11-03) Saylan, Demet; Erdem, İlkerCancer is one of the most abundant lethal diseases globally threatening public health. There is considerable research effort on the prevention, diagnosis, and treatment of cancer. The current practices for cancer treatment are usage of synthetic chemicals (i.e. chemotherapy), radiotherapy, and surgery. Besides these conventional therapies, there are contemporary, innovative approaches, e.g., targeting of the drugs to the cancerous tissues, synergetic enhancement via simultaneous usage of conventional methods, and contemporary methods. Therefore, the process of drug research and development in the field of cancer is increasingly challenging, due to the limited success of current therapies and the constant need to find safer and more effective novel approaches. The utilization of nanotechnology may present new opportunities in cancer treatment. Metal nanoparticles prepared via "bottom-up" approach may be used for triggering the selective cell apoptosis mechanisms for cancerous cells, while sparing healthy cells considerably. © 2024 Elsevier B.V., All rights reserved.Book Part Citation - Scopus: 1Managing Transportation in Supply Chain: Metaheuristics for Solving a Capacitated Fixed-Charge Transportation Problem(IGI Global, 2021) Madenoğlu, Fatma SelenSupply chain management is the managing of all processes of goods, services, and information from suppliers to customers. Transportation network design is an important part of effective supply chain management. This chapter presents the two-stage fixed-charge transportation problem in a supply chain to minimize the total cost containing the opening cost of distribution centers, transportation cost from manufacture to distribution centers and from distribution centers to customers, and fixed cost for transportation from distribution centers to customers. There are the capacity constraints on distribution centers in order to consider real life situations in this chapter. A constructive based algorithm and a population-based algorithm are proposed to solve this complex optimization problem. Taguchi experimental design is applied for determining the best combinations of parameters. The experimental studies are conducted to compare the performance of the proposed algorithms according to solution quality. © 2022 Elsevier B.V., All rights reserved.Book Part Isothiocyanates as Drug Candidates in Cancer Prevention and Treatment(IGI Global, 2023-06-16) Saylan, Demet; Cebeci, FatmaCancer is the second most common cause of death worldwide. Many methods such as surgery, chemotherapy, radiation therapy, etc. are being used for treatment. Most patients have a combination treatment with chemotherapy along with surgery or radiotherapy or both. Chemotherapy kills cancer cells by preventing them from reproducing, growing, and spreading in the body. Recently, safer alternatives to chemotherapy have been discovered and developed, as most of the drugs used in cancer treatment have side effects and a serious impact on patient comfort. As an alternative, the phytochemicals found in daily consumed plants are attractive candidates for clinical/pre-clinical evaluation because of their higher safety. In this context, certain degradation products of glucosinolates (isothiocyanates) are promising agents for cancer prevention and treatment. © 2023 Elsevier B.V., All rights reserved.Book Part Examining the Impact of Landslide Hazards in the Periurban Areas by Global and Local Modelling Techniques(IGI Global, 2024-05-28) Aydinoǧlu, Arif Çaǧdaş; Sisman, Suleyman; Ustaoglu, Eda; Aydogdu, GehverLandslides can be considered one of the most severe natural hazards globally, and their management has a key role to inman safety. Landslide susceptibility maps can help the sustainable management of peri-urban areas such as determining the target areas of projects to develop landslide resistant areas, forest planning, infrastructure planning, and land use zoning. This study aims to analyse the relationship between landslide occurrence and its determinants in a peri-urban region, namely Taslidere Basin located in Guneysu District of Rize, Turkey, through providing both global and local regression models. To consider spatial non-stationarity, geographically weighted regression was used as a local model. It was found that the local model outperformed the global model in the estimation of landslide susceptibility determinants. The spatial analysis results indicated that almost all variables had heterogeneous variation over the study area. Therefore, this study provides a methodology for understanding the local dynamics of landslide occurrence. © 2024 Elsevier B.V., All rights reserved.Book Part Communications Technologies for Smart Grid Applications: A Review of Advances and Challenges(IGI Global, 2022) Tuna, Gürkan; Das, R.; Güngör, Vehbi ÇağrıSmart grid is a modern power grid infrastructure for improved efficiency, reliability, and safety, with smooth integration of renewable and alternative energy sources, through automated control and modern communications technologies. The smart grid offers several advantages over traditional power grids such as reduced operational costs and opening new markets to utility providers, direct communication with customer premises through advanced metering infrastructure, self-healing in case of power drops or outage, providing security against several types of attacks, and preserving power quality by increasing link quality. Typically, a heterogeneous set of networking technologies is found in the smart grid. In this chapter, smart grid communications technologies along with their advantages and disadvantages are explained. Moreover, research challenges and open research issues are provided. © 2022 Elsevier B.V., All rights reserved.Book Part Citation - Scopus: 1A Spatial Econometric Analysis of the Regional Variations of Residential Energy Consumption in Europe(IGI Global, 2024-03-22) Ustaoglu, EdaA residential energy consumption model was estimated by using socio-economic characteristics, economic activities, mobility, land cover, natural hazards, governance, energy, air quality, and green economy variables for the EU-27 and UK. Regional variations of the energy consumption were also investigated through focusing on European regional typologies including urban, intermediate, and rural regions. The residential energy consumption model was estimated by using spatial econometric approaches as well as specific regression models were estimated for the urban, intermediate, and rural regions. The key variables used in regression analysis were selected according to their importance using the Random Forest (RF) classification method. The results from the regressions confirm that socio-economic, environmental, governance, technology, and natural hazards related variables explain residential energy consumption in Europe. The variations of sign and coefficients of the variables according to different regional typologies were also uncovered. © 2024 Elsevier B.V., All rights reserved.