WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Comparative Analysis of Material Footprints in Electricity Generation of Deep Learning-Based Prediction Model and Energy Development Scenarios(SAGE Publications Ltd, 2026-03-25) Celik, Yasin; Unlu, Ramazan; Algorabi, Omer; Kocakaya, Mustafa Nabi; Aktog, Mehmet Arif; Namli, ErsinEscalating global production and consumption are driving rapid growth in energy demand, increasing pressure on finite natural resources. In response, this study proposes a data-driven framework that integrates deep learning-based electricity demand forecasting with economy-wide input-output material footprint analysis to support long-term energy planning and policymaking. The innovative aspect of this framework is its ability to jointly assess future electricity generation and related material requirements within a single analytical structure. A comparative analysis is conducted for Türkiye, Germany, and Spain, evaluating the material footprint of electricity generation across renewable and fossil-based energy sources under business-as-usual (BAU) and alternative energy development scenarios. The forecasting models demonstrate strong predictive performance, achieving Mean Absolute Percentage Error (MAPE) values of 1.39% for Türkiye, 4.39% for Germany, and 3.90% for Spain, significantly outperforming conventional statistical methods. Scenario-based results indicate that sustainability-oriented pathways (ST and GCA) can reduce material requirements by approximately 20-30% compared to the BAU scenario, particularly for metal-intensive inputs such as iron and refined oil. The findings underscore the importance of integrating material footprint considerations into energy transition strategies and provide practical insights for policymakers seeking to balance energy security with resource sustainability. The study highlights the value of integrated analytical approaches in supporting more resilient and resource-efficient energy systems.Article Contributions Toward Net-Zero Carbon in the Water Sector: Application to a Case Study(IWA Publishing, 2025-09-01) Ramos, Helena M.; Perez-Sanchez, Modesto; Correia, Tiago; Bekci, E.; Besharat, M.; Kuriqi, Alban; Coronado-Hernandez, Oscar E.This study presents an integrated smart water-energy nexus framework combining IoT-based water monitoring, hybrid renewables (hydropower/solar/wind), and AI-driven optimization. Real-time sensor data enables automated grid management, while AI analytics optimize operations and predict maintenance needs through a closed-loop system. The solution achieves bidirectional energy exchange, with the full hybrid system (G + H + PV + W) reducing costs by 41.5% (<euro>831K) and LCOE by 57.2% (<euro>0.0475/kWh). Financial analysis confirms viability with 26.4% IRR and 3.8-year payback, while achieving negative CO2 emissions (-160,476 kg/year). Progressive renewable integration enhances all key performance indicators (KPIs), cutting OPEX by 89.9% (<euro>7,156/year) through optimized operations. Dual water-energy performance metrics (leakage, pressure, % renewable share) ensure balanced and sustainable grid management. Key innovations include IoT-energy synergy, AI-driven predictive maintenance, and circular resource efficiency. The framework demonstrates how smart water grids can achieve both economic and environmental benefits through renewable energy integration and advanced digital solutions.Article Citation - WoS: 29Citation - Scopus: 32Wind Farm Site Selection Using GIS-Based Multicriteria Analysis With Life Cycle Assessment Integration(Springer Heidelberg, 2024-01-19) Demir, Abdullah; Dincer, Ali Ersin; Ciftci, Cihan; Gulcimen, Sedat; Uzal, Nigmet; Yilmaz, KutayThe sustainability of wind power plants depends on the selection of suitable installation locations, which should consider not only economic and technical factors including manufacturing and raw materials, but also issues pertaining to the environment. In the present study, a novel methodology is proposed to determine the suitable locations for wind turbine farms by analyzing from the environmental perspective. In the methodology, the life cycle assessment (LCA) of wind turbines is incorporated into the decision process. The criteria are ranked using analytical hierarchy process (AHP). The study area is chosen as the western region of Turkiye. The obtained suitability map reveals that wind speed is not the sole criterion for selecting a site for wind turbine farms; other factors, such as bird migration paths, distance from urban areas and land use, are also crucial. The results also reveal that constructing wind power plants in the vicinity of Izmir, canakkale, Istanbul, and Balikesir in Turkiye can lead to a reduction in emissions. Izmir and its surrounding area show the best environmental performance with the lowest CO2 per kilowatt-hour (7.14 g CO2 eq/kWh), to install a wind turbine due to its proximity to the harbor and steel factory across the study area. canakkale and the northwest region of Turkiye, despite having high wind speeds, are less environmentally favorable than Izmir, Balikesir, and Istanbul. The findings of LCA reveal that the nacelle and rotor components of the wind turbine contribute significantly (43-97%) to the environmental impact categories studied, while the tower component (0-36%) also has an impact.Article Citation - WoS: 221Citation - Scopus: 240The Role of Interaction Effect Between Renewable Energy Consumption and Real Income in Carbon Emissions: Evidence From Low-Income Countries(Pergamon-Elsevier Science Ltd, 2022-02) Ehigiamusoe, Kizito Uyi; Dogan, EyupEven though the existing studies have extensively investigated the impacts of renewable energy and real income on carbon emissions, the literature overlooks the role of their interaction effect in the level of emissions. In addition, the studies have usually chosen high-income and middle-income countries as focused group. To fill these gaps in the existing body of energy-environment literature, this study investigates the impacts of real income, renewable energy consumption and their interaction effect on carbon emissions in low-income countries by employing empirical estimations that control different econometric and economic issues such as heterogeneity and cross-sectional dependence. The results reveal that renewable energy mitigates emissions; however, the interaction effect stays positive. The marginal effect of renewable energy on emissions varies with the levels of real income. Policymakers in these economies should implement policies and regulations to promote the adoption and use of renewable energy to mitigate carbon emissions. Besides, this study emphasizes that the levels of renewable energy and real income are not the only panacea to abating pollution, but the interaction effect should be considered in ensuring environmental sustainability.Article Citation - WoS: 250Citation - Scopus: 280The Role of Institutional Quality and Environment-Related Technologies in Environmental Degradation for BRICS(Elsevier Sci Ltd, 2021-07) Hussain, Muzzammil; Dogan, EyupAn expanding body of literature has highlighted the environment-growth nexus. However, the literature is scarce on the role of environmental technologies and institutional quality in environmental pollution. The present study aims to contribute to the existing knowledge by utilizing environment-related technologies (ERT), institutional quality (IQ), and energy consumption to investigate ecological footprints (EF) as a proxy for the environment in BRICS economies in a framework based on environmental Kuznets curve (EKC) theory. By using data from 1992 to 2016, long-and short-term relationships are estimated through cross-section augmented autoregressive distributive lag model, augmented mean group estimator, and common correlated effects mean group. The second-generation econometric tools indicate that IQ and ERT negatively affect ecological footprints, thereby implying reductions in environmental degradation. The EKC hypothesis is not validated, implying that an increase in economic activities causes an increase in pollution. Overall, BRICS economies should improve their quality of institutions and enhance investments in environmental technologies to achieve a sustainable environment in the future. Findings are robust to practical policy implications. (c) 2021 Elsevier Ltd. All rights reserved.Article Citation - WoS: 190Citation - Scopus: 203The Role of Economic Policy Uncertainty in the Energy-Environment Nexus for China: Evidence From the Novel Dynamic Simulations Method(Academic Press Ltd- Elsevier Science Ltd, 2021-08) Amin, Azka; Dogan, EyupEven though a great number of researches have explored the determinants of carbon emissions, the impact of economic policy uncertainty (EPU) on the environment has not been fully investigated in the energy-environment literature. Since recent studies show a strong relationship between the external environment and uncertainty, the present study for the first time in the literature aims to explore the function of EPU in the energy-environment nexus for China by using the novel bounds testing with dynamic simulations. The empirical results indicate that increases in the real income and energy intensity contribute to environmental pollution while increases in renewable energy lower the level of emissions. Besides, an increase in EPU causes an increase in the volume of carbon emissions. As EPU increases, the government's attention to implement environmental protection policies decreases, and the execution of the environment-related strategies is likely directed in an expected way. The empirical findings suggest that the government should establish consistency in economic and environmental policies to mitigate environmental pollution and thus to reach environmental sustainability.Article Citation - WoS: 63Citation - Scopus: 71The Nexus Between Poverty, Inequality and Environmental Pollution: Evidence Across Different Income Groups of Countries(Elsevier Sci Ltd, 2022-03) Ehigiamusoe, Kizito Uyi; Majeed, Muhammad Tariq; Dogan, EyupEven though the literature has extensively focused on a number of determinants of environmental pollution, it lacks to incorporate the importance of poverty and inequality on the environment. The nexus of poverty-inequality-environment is indeed in line with the agenda of the United Nations' Sustainable Development Goals. Furthermore, the existing studies usually rely on carbon dioxide (CO2) emissions as the proxy for the pollution in their analysis. This study fills the mentioned gaps by investigating the impacts of income inequality and poverty on environmental pollution using ecological footprint (a comprehensive measure of the pollution) in addition to CO2 emissions for 70 countries categorized by income groups. This research employs the dynamic panel system Generalized Method of Moments (GMM) and the Dumitrescu-Hurlin Granger causality techniques which are strong to several econometric issues that may frequently arise in the estimation procedures. The empirical outcomes show that income inequality and poverty increase carbon emissions and ecological footprint in the entire panel. However, when the panel is split into groups, the results indicate that income inequality mitigates carbon emissions and ecological footprint in high-income group but aggravates them in middle-income group. Though poverty has no significant impact on carbon emissions in high-income group, it raises the levels of carbon emissions and ecological footprint in middle-income group. This study overall implies that income inequality and poverty are significant determinants of environmental pollution. Hence, efforts to abate envi-ronmental degradation should give adequate attention to poverty and inequality in order to attain environmental sustainability.Article Citation - WoS: 4Strategic Sustainable Site Management in Higher Education Institutions(deomed Publ, Istanbul, 2016-12-01) Ayten, Asim MustafaIn retrospect, the role of scientific progress is of the utmost importance in the development and the current status of the universitites whose history is as old as the city life. The main determinants of the emergence of Enlightenment period have been the Reformation and the Renaissance movements in Europe. Thus, thoughts and ideas based on the mind instead of dogmas have made progress under the guidance of positivism and the city life has been indirectly affected from this development. The industrial revolution caused remodeling and changes in urban and spatial structure. Although educated and skilled labor force was not requested by the industry initially, that kind of force gained importance over time and the collaboration between industry and universities became inevitable. Until the years of 1940, Von Humboldt system, prevailing in Germany, changed and US system has become effective since 1945. During the years of 1960, universities became technology-based organizations and the institutions where scientific researches were conducted instead of the ones where only educational activities were carried out. Particularly, new settlements based on technology development regions attracted the attention. Within the order created by this relationship, different kinds of universities, research centers and spatial constructions were emerged either inside or outside the cities. In parallel with the growth of the cities, university buildings moved to the campuses outside the cities in accordance with the changing needs and new applications were made inside the cities and over the vast areas with different spatial typologies. In our study, campus site managements were examined in terms of environmental factors, logistics, traffic management, transportation and other criteria (population size, field size, space per person and etc.), sampled with a survey carried out on 22 universities and made an evaluation based on the responses taken by 17 universities. This study has shown that our universities have not got a large part of the criteria required to become a 3rd generation university. So as to compete with the other universities in the World, an approach with corresponding social, economic, and spatial dimensions which leaves an impression on the city, region, country and the whole World should be put into practice in the field of higher education.Article Citation - WoS: 75Citation - Scopus: 89Revisiting the Nexus of Ecological Footprint, Unemployment, and Renewable and Non-Renewable Energy for South Asian Economies: Evidence From Novel Research Methods(Pergamon-Elsevier Science Ltd, 2022-07) Dogan, Eyup; Majeed, Muhammad Tariq; Luni, TaniaGiven the need to employ novel research methods in the energy-environment nexus, the objective of the present research is to investigate the impacts of real output, unemployment, and renewable and nonrenewable energy on ecological footprint under a STIRPAT theoretical framework by applying the second-generation unit root, cointegration, Granger-causality, and long-run estimation methods on the annual data from 1990 to 2017 for South Asian economies. Empirical results show that increases in unemployment and renewable energy decrease ecological footprint while increases in real income and non-renewable energy hurt the environment. This study confirms the adverse effect of renewable energy on environmental degradation as well as the trade-off between unemployment and pollution through multiple robustness and sensitivity checks. In addition, the causality test supports unidirectional causality from income, renewable energy, and non-renewable energy to ecological footprint. Regarding policy perspectives, the governments of the South Asian region should support the deployment of renewable energy through various channels and regulations. The development of technologies that promote sustainable production and consumption play critical roles for reducing the trade-off unemployment and ecological footprint. Further policy suggestions are discussed in the study.(c) 2022 Elsevier Ltd. All rights reserved.Article Citation - WoS: 73Citation - Scopus: 76Production-Based and Consumption-Based Approaches for the Energy-Growth Nexus: Evidence from Asian Countries(Elsevier, 2020-07) Pandey, Sweety; Dogan, Eyup; Taskin, DilvinThe number of studies that highlight demand-side and supply-side of environmental degradation are quite limited in the literature. The aim of this study is to analyze the energy-growth-environment nexus in cooperation with globalization, urbanization, life expectancy and biocapacity as control variables by using both consumption-based and production-based approaches in an Environmental Kuznets Curve (EKC) framework for Asian countries over the years of 1971-2014. The empirical results show that globalization improves environmental quality while urbanization, life expectancy, biocapacity and energy consumption increase environmental degradation. While the EKC hypothesis is validated for supply-side analysis, it is not validated for demand-side analysis for the panel of Asian countries. The governments should take initiatives to invest in research and development for the usage, promotion, development and adoption of clean energies. The policymakers should emphasize on the development of urban planning strategies of Asian countries to overcome the negative effects of urbanization on the environment. Further implications are discussed in the study. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.