Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.yasar.edu.tr/handle/123456789/11290

Browse

Now showing 1 - 20 of 1944

Citation - WoS: 9
Citation - Scopus: 9
2-D and 3-D basin site effects in Izmir-Bayrakli during the October 30- 2020 Mw7.0 Samos earthquake
(SPRINGER, 2023) Kemal Onder Cetin; Moutasem Zarzour; Elife Cakir; S. Caglar Tuna; Selim Altun; Altun, Selim; Zarzour, Moutasem; Cetin, Kemal Onder; Cakir, Elife; Tuna, S. Caglar
During the October 30 2020 M(w)7.0 Samos Earthquake the Turkiye-Izmir-Bayrakli district was affected the most due to the geometry and the deep-soft alluvial nature of the basin although the district is approximately 70 km away from the epicenter. In this study the seismic response of the Bayrakli basin and the role of the soil stratigraphy and basin geometry on the recorded amplifications and prolonging of seismic shakings are investigated by using 1- 2-and 3-D non-linear finite element-based dynamic response analyses. The assessment results are presented in the form of spectral amplification ratios A(T). The highest A(T) values were estimated at spectral periods T = 0.85 and 1 s. They exceed five in both the east-west and the north-south directions more pronounced in the latter one. A(T) was decomposed into the product of two independent amplification factors namely rock to soil amplifications A(Soil)(T) and 1-D soil column to 3-D soil basin amplifications A(Basin)(T). A(Basin)(T) values for T = 0.85 and 1 s are estimated as high as 1.4 and 1.6 in the east-west and the north-south directions respectively. These values suggest that the 3-D geometry of the Bayrakli basin amplifies the spectral accelerations by 40-60% at T = 0.85 and 1 s. The unique combination of a deep-soft alluvial site with 3-D basin geometry and overlying 7-9 story residential buildings consistently favors and amplifies the seismic energy in the spectral period range of 0.7-1.0 s. This multi-fold increased seismic demand combined with poor structural design and construction details lead to localized structural damage and over 117 life losses.
Citation - WoS: 1
Citation - Scopus: 1
24-hour Electricity Consumption Forecasting for Day Ahead Market with Long Short Term Memory Deep Learning Model
(IEEE, 2020) Nalan Ozkurt; Hacer Sekerci Oztura; Cuneyt Guzelis; Guzelis, Cuneyt; Oztura, Hacer Sekerci; Ozkurt, Nalan
In 2015 with the foundation of Energy Market Management Inc. AS (EPIAS) the production and pricing of electrical energy began to be made according to consumption estimates. In this study twenty-four hours energy consumption forecasting was made by using long short-term memory method and data was downloded from EPIAS's official web page for the Day Ahead Market. The data set used covers 1500 days between June 2016 and July 2020. The results obtained have been compared with EPIAS's own estimates and actual consumption data.
Citation - WoS: 1
Citation - Scopus: 1
A 2-dimensional model of polynomial type for oscillatory ATM-Wipl dynamics in p53 network
(Institute of Electrical and Electronics Engineers Inc., 2017) Gökhan Demirkıran; Güleser Kalayci Demir; Cüneyt Güzeliş; Guzelis, Cuneyt; Demirkiran, Gokhan; Demir, Guleser Kalayc
Under gamma irradiation p53 gene regulatory network is able to exhibit three different modes namely low state oscillations and high state. There are experimental studies demonstrating that oscillatory behaviour of p53 is due to the interaction between upstream mediator of p53 i.e. ATM and a negative feedback loop formed by Wipl with that upstream. By proposing a canonical model based on ordinary differential equations made up of polynomial type birth and death terms we show mathematically that the simple interaction between ATM and Wipl is indeed able to exhibit three different behaviours relevant to DNA damage response of p53 network. We further carry out bifurcation analysis on the model with the aim of investigating the mutations such as Wip1 overexpression and ATM deficiency. Based on the proposed canonical model we show that Wipl is an important target for curing these types of mutations. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
A 2-dimensional reduced oscillator model with rational nonlinearities for p53 dynamics
(Institute of Electrical and Electronics Engineers Inc., 2017) Gökhan Demirkıran; Güleser Kalayci Demir; Cüneyt Güzeliş; Guzelis, Cuneyt; Demirkiran, Gokhan; Demir, Guleser Kalayc
p53 tumour suppressor network plays the key role in DNA damage response of the cell. We present a comprehensive 2-dimensional oscillator model for p53 network dynamics. The model is reduced from the known 17-dimensional two-phase model of p53 network which shows temporary oscillatory behaviour under DNA damage type of Double Strand Breaks. The introduced oscillator model shows the same qualitative dynamics of two-phase model of p53 network such as bistability and oscillations when the parameters are adjusted accordingly. With the help of the identified oscillator in p53 network we introduce a new oscillator perspective: p53 network has an oscillator in the centre which other systems in the cell manipulate this oscillator to contribute to cell fate. The introduction of such low dimensional oscillator model will make it possible to study p53 network and the effects of other biological systems in the context of oscillations. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 11
Citation - Scopus: 13
A 3-Dimensional Architectural Layout Generation Procedure for Optimization Applications: DC-RVD
(Education and research in Computer Aided Architectural Design in Europe, 2014) Ioannis Chatzikonstantinou; Chatzikonstantinou, Ioannis; E.M. Thompson
A procedure for generating 3-dimensional spatial configurations for optimization applications termed Dimension Constrained Rectangular Voronoi Diagram (DC-RVD) is presented in this paper. The procedure is able to generate a non-overlapping configuration of spatial units in 3-dimensional space given a string of real values. It constitutes an extension and adaptation of the Rectangular Voronoi Diagram generating procedure found in the work of Choi and Young (1991). An extensive description of the procedure with the relevant pseudocode is included in the paper. The procedure is tested in a stochastic optimisation-based decision support environment. Testing is done using a case study of a medium-sized family house. The result indicate promising performance. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 2
A bi-criteria single machine scheduling with rate-modifying-activity
(Gazi Universitesi, 2013) Yucel Yilmaz Ozturkoglu; Öztürkoǧlu, Yücel
In this paper we consider a single machine scheduling problem with two criteria: minimizing both total flow time with total tardiness and minimize maximum tardiness with number of tardy jobs. Unlike the classical scheduling problems we use a job position deterioration which means that the job processing time increases as a function of the job position. Besides deteriorated jobs we also consider rate-modifying-activities which alter the efficiency of the deteriorating processor. This is the first paper to combine both time dependent processing times and problems with rate-modifying-activity in the bi-criteria objectives. To solve the new type of problem we introduce a new scheduling mathematical model which is based on one developed Ozturkoglu and Bulfin [1]. To analyze the efficiency of the mathematical model we use three different approaches. According to computational results up to 50 jobs can be solved in less than one minute. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 18
Citation - Scopus: 22
A bi-objective mathematical model for product allocation in block stacking warehouses
(WILEY, 2020) Omer Ozturkoglu; Ozturkoglu, Omer
Put-away and picking operations in warehouses play a critical role in determining operating costs and customer response time. While the place where products are put away has an important effect on picking efficiency due to accessibility it also affects space usage which is critical for space availability and space costs. Hence this study focuses on put-away operations in pallet-in pallet-out block stacking warehouses. We develop a unique bi-objective mathematical model and a constructive heuristic algorithm to allocate products to storage lanes while considering two objectives simultaneously: minimizing total travel distance and maximizing average storage usage. We test our model and heuristic through a real company case study and randomly generated large-sized problem instances. We show that the model and heuristic offer better storage usage with reduced travel distance than the company's approach when the two objectives have equal weight. We also present a set of nondominated solutions for each problem instance. We present that the heuristic seems beneficial for the warehouse industry due to its short run time and effective solutions.
Citation - WoS: 36
Citation - Scopus: 51
A big data analytics based methodology for strategic decision making
(EMERALD GROUP PUBLISHING LTD, 2020) Murat Ozemre; Ozgur Kabadurmus; Kabadurmus, Ozgur; Ozemre, Murat
Purpose The purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology. Design/methodology/approach In this study two different machine learning algorithms Random Forest (RF) and Artificial Neural Networks (ANN) are employed to forecast export volumes using an extensive amount of open trade data. The forecasted values are included in the Boston Consulting Group (BCG) Matrix to conduct strategic market analysis. Findings The proposed methodology is validated using a hypothetical case study of a Chinese company exporting refrigerators and freezers. The results show that the proposed methodology makes accurate trade forecasts and helps to conduct strategic market analysis effectively. Also the RF performs better than the ANN in terms of forecast accuracy. Research limitations/implications This study presents only one case study to test the proposed methodology. In future studies the validity of the proposed method can be further generalized in different product groups and countries. Practical implications In today's highly competitive business environment an effective strategic market analysis requires importers or exporters to make better predictions and strategic decisions. Using the proposed BDA based methodology companies can effectively identify new business opportunities and adjust their strategic decisions accordingly. Originality/value This is the first study to present a holistic methodology for strategic market analysis using BDA. The proposed methodology accurately forecasts international trade volumes and facilitates the strategic decision-making process by providing future insights into global markets.
Citation - Scopus: 1
A Broadband Lens Loaded Vivaldi Antenna for Sub-6 GHz/mm Wave 5G Applications and Wideband Nondestructive Material Characterization
(Institute of Electrical and Electronics Engineers Inc., 2024) Berker Colak; Zeynep Ertekin; Mustafa Seçmen; Colak, Berker; Ertekin, Zeynep; Secmen, Mustafa
This study presents a broadband and compact antipodal Vivaldi antenna design and production having an improved gain characteristic with the addition of a dielectric lens made of PLA. The proposed antenna has measured VSWR of less than 2.1 through the broadband frequency of 3.3-43.5 GHz and has more than 6.5 dBi measured gain above 8.5 GHz (up to 43.5 GHz). The antenna which can fit in a cube with just 4.8 cm edge has low-cost and easy manufacturing. It can meet the need of multiple antennas due to its broad frequency range (from S-band to Ka-band) which covers different applications such as wideband nondestructive material characterization and testing. Since the proposed antenna covers sub-6 GHz (3.3 GHz 5.8 GHz) and mmWave (26 38 41 GHz) 5G frequencies it can be also used in base stations with MIMO or array configuration. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 10
Citation - Scopus: 13
A Bus Crew Scheduling Problem with Eligibility Constraints and Time Limitations
(ELSEVIER SCIENCE BV, 2017) Hande Oztop; Ugur Eliiyi; Deniz Tursel Eliiyi; Levent Kandiller; Öztop, Hande; Kandiller, Levent; Eliiyi, Uǧur; Eliiyi, Deniz Türsel; HB Celikoglu; AH Lav; MA Silgu
In this study we consider a real life crew scheduling problem (CSP) of a public bus transportation authority where the objective is to determine the optimal number of different types of crew members with a minimum cost that cover a given set of tasks regarding working and spread time limitations. Each driver has a spread time limit from the start time to the end time of his/her shift including the idle times. Additionally a driver cannot exceed the maximum total working time limit. The processing times of the tasks assigned to each driver are included in his/her working time as well as the sequence-dependent setup times. As our study is inspired from a real life CSP the tasks can require different types of vehicles that require different crew capabilities. Therefore there are several crew classes based on the competencies required to use certain vehicle types inducing eligibility constraints in the problem. We formulate a Tactical Fixed Job Scheduling Problem based binary programming model for the problem. In the formulation we consider only processing times of tasks as working time. In order to avoid defining an additional sequence control variable that explodes the model size and in turn ruins solution performance we develop an iterative valid inequality generation scheme which eliminates task sequences exceeding the total working time when setup times are included. The performance of the developed model is investigated through a comprehensive experimentation and the numerical results are reported. The results show that our optimal seeking solution procedure is quite effective in terms of solution time for instances with up to 120 tasks. (C) 2017 The Authors. Published by Elsevier B.V.
Citation - WoS: 4
Citation - Scopus: 4
A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses
(ISTANBUL UNIV FAC ENGINEERING, 2018) Gokhan Demirkiran; Guleser Kalayci Demir; Cuneyt Guzelis; Güzeliş, Cüneyt; Demirkıran, Gökhan; Demir, Güleser Kalaycı
From a system theory perspective p53 network dynamics is interesting since it can exhibit three dynamical modes of p53 namely low-level equilibrium oscillation and high-level equilibrium. Each of these modes are associated with different cell fate outcomes: cell survival cell cycle arrest and apoptosis. The literature reveals that a high level (apoptosis) is seen only after ending the oscillation phase so called two-phase dynamics which provides the decision of apoptosis depending on the oscillation duration. This paper proposes that a negative feedback can keep time by counting the pulses of oscillation to take the decision of apoptosis or cell survival. P53DINP1 which is the mediator of this feedback is added as a variable to a 2-D oscillator model of the p53 network. The resulting canonical 3-D model successfully replicates the two-phase dynamics. That is it possesses temporary oscillatory behavior in which first oscillations (first phase) and then high level state (second phase) are observed. By introducing a new variable to the core oscillator in the p53 network this study demonstrates that p53 network can be considered a modular structure which consists of an oscillator and other variables that control this oscillator to contribute to cell fate determination.
Citation - WoS: 2
Citation - Scopus: 2
A Case Study on the Selection of Optimum Loop Units for the Deployable Arch Structures Exposed to Lateral and Non-uniform Gravity Loads
(ELSEVIER SCIENCE BV, 2020) K. Yuceturk; E. Aktas; F. Maden; S. Gur; C. C. Mitropoulou; Mitropoulou, C.C.; Aktaş, E.; Yücetürk, K.; Maden, F.; Gur, Ş.; ND Lagaros; KM Abdalla; GC Marano; MC Phocas; R AlRousan
Radially deployable arches may be created by using various types of units. However for any deployable structure to be constructed in real life it should satisfy the structural regulations and codes. Despite various advantages from architectural perspective deployable structures are weak to satisfy the operational code limits when compared to trusses with similar height and span. Therefore weight minimization is very important to reduce the dead loads of the structure which facilitates the code-conformance of the structure. The optimization of the deployable structures requires an initial selection of the loop types to define the structure parametrically. An initial selection strategy depending on the loads on the structure is important to increase the efficiency of optimization process. Under uniform gravity loads optimum arrangement for each unit type converges to a similar point. However in the real world the loads on the arches are not always uniform and the structure is exposed to nonuniform loadings such as point loads or lateral loads. This work focuses on the performance of various arches with different unit types under lateral and non-uniform vertical loads. Different lateral load and non-uniform gravity loading scenarios are created. For each scenario the arches with different units are analyzed. In all cases clear span and height are kept as same. The performance of an arch with a specific unit type for a given load is measured with a score that includes the deformations and the weight of the structure. All the members are assumed to be circular hollow sections with variable diameter and thickness to have a meaningful weight comparison between structures. This work intends to define an initial selection guide for deployable arches under typical non-uniform and lateral loading conditions. (C) 2020 The Authors. Published by Elsevier B.V.
Citation - WoS: 9
Citation - Scopus: 19
A circular business cluster model for sustainable operations management
(TAYLOR & FRANCIS LTD, 2024) Erhan Ada; Muhittin Sagnak; Sachin Kumar Mangla; Yigit Kazancoglu; Ada, Erhan; Sagnak, Muhittin; Mangla, Sachin Kumar; Kazancoglu, Yigit
Ecological pollution scarcity of resources climate change and population growth have forced organisations to transform from a linear to a circular economy. Hence the need arises to redesign value chains and traditional business models. Thus the aim of this study is to develop a new conceptual eco-cluster model called 'Circular Business Cluster Model' to combine the advantages of both clustering and a circular economy. This paper seeks to establish a framework and provide guidelines for policy-makers such as governments local authorities and organised industrial zone administrators. The contribution of this paper is to highlight and emphasise the crucial role of circular economy principles to transform a classical business model into an eco-business model. Circular Business Cluster Model includes the conceptual framework network structure interactions between cluster components and 6R activities. A case study was conducted to check the applicability of the proposed Circular Business Cluster Model. Eleven centres in this model were evaluated. Fuzzy Best-Worst Method (BWM) was used to find the relative weights. Based on the Circular Business Cluster Model theoretical and managerial implications have been presented.
Citation - WoS: 35
Citation - Scopus: 25
A circular food supply chain network model to reduce food waste
(Springer, 2022) Ozgur Kabadurmus; Yigit Kazancoglu; Damla Yüksel; Melisa Ozbiltekin-Pala; Yüksel, Damla; Pala, Melisa Özbiltekin; Kabadurmus, Ozgur; Kazançoğlu, Yiğit
Food loss and waste (FLW) is a growing global problem throughout the world. The rapid increase in food waste and deficiencies in treatment processes have led to greater harm to the environment. A circular food supply chain (FSC) is now an essential means of encouraging circular economy. Proper food waste treatment and recycling operations can not only benefit the environment but these wastes can also be used as raw material for production in a circular economy. In this study a circular food supply chain network model is designed to reduce the food waste generated in the circular food supply chain systems of municipalities. Then a mixed-integer linear programming model is generated to model the proposed circular food supply chain network model. The MILP model is a network model aimed at reducing the food waste generated. To do so two objectives are considered: the overall cost of the network is minimized and the amount of distributed food waste from the generation nodes to the end nodes is maximized. Due to the bi-objective nature of the proposed mathematical model the Improved Augmented Epsilon Constraint method (AUGMECON2) is implemented to solve the problem optimally. To illustrate the applicability and effectiveness of the proposed mathematical model two real-life case studies were carried out in Izmir the third largest city in Turkey. The computational results demonstrate that the proposed model is beneficial for both small and large municipalities since it provides the Pareto-optimal set where the total amount of distributed food waste is maximized and the total cost is minimized. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 3
A CMIP6-based drought assessment over Küçük Menderes BasinTürkiye
(Springer, 2025) Farzad Rotbeei; Mustafa Nuri Balov; Mir Jafar Sadegh Safari; Babak Vaheddoost; Vaheddoost, Babak; Rotbeei, Farzad; Safari, Mir Jafar Sadegh; Nuri Balov, Mustafa
Droughts are the phenomenon of which their magnitude and frequency are forecasted to escalate over time primarily due to the impacts of climate change and global warming. Hence the potential consequences of the expected drought events are of the great importance in performing effective adaptation and regional mitigation strategies. The objective of the current study is to explore the consequences of climate change on the future droughts in Küçük Menderes Basin in western Türkiye. This objective will be addressed by examining the outputs of four General Circulation Models (GCMs) incorporated within Phase 6 of the Coupled Model Inter-comparison Project (CMIP6) with particular emphasis on two contrasting emission trajectories: SSP2-4.5 and SSP5-8.5. The daily precipitation and temperature projections are then utilized in determination of the so-called Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) drought indices with consideration to 2015–2039 as near future 2040–2069 as mid-term future and 2070–2099 as late future time frames. According to projections based on the SSP2-4.5 and SSP5-8.5 scenarios the number of dry months is anticipated to escalate by approximately 26.12% and 39.80% respectively toward the end of the twenty-first century (2070–2099) in contrast to the reference period (1985–2014). Results of the current study provide valuable insights for developing adaptation strategies to address future consequences of drought events in the Küçük Menderes Basin amid evolving climate conditions. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 9
Citation - Scopus: 10
A collaborative numerical simulation-soft computing approach for earth dams first impoundment modeling
(ELSEVIER SCI LTD, 2023) Behzad Shakouri; Mirali Mohammadi; Mir Jafar Sadegh Safari; Mohammad Amin Hariri-Ardebili; Hariri-Ardebili, Mohammad Amin; Shakouri, Behzad; Safari, Mir Jafar Sadegh; Mohammadi, Mirali
Uncertainty quantification plays a crucial role in the design monitoring and risk assessment of earth dams. To reduce the computational burden we employ a combination of finite difference method and soft computing techniques to investigate material uncertainties in earth dams during the initial impoundment stage. The findings of sensitivity analysis with the Tornado diagram indicate that key material properties such as dry density elasticity modulus friction angle and Poisson's ratio significantly influence the displacements and stress analysis. In our study we explore four variants of extreme learning machines (ELMs): the standalone ELM hybridized versions with the improved grey wolf optimizer algorithm ant colony optimization for continuous domains and artificial bee colony. These methods are assessed across various training sizes to predict multiple parameters including horizontal and vertical displacements stresses and the factor of safety (FoS). The hybridized ELM with the improved grey wolf optimizer algorithm emerges as the superior choice for most of the response variables. A minimum of 200 numerical simulations is required to establish a stable and accurate meta-model with an average prediction error of less than 3% for responses and the FoS.
Citation - Scopus: 1
A combined technology for wildfire detection using HS/RF
(IEEE, 2009) Graeme Hanssen; Yasar Guneri Sahin; Hanssen, Graeme; Sahin, Yasar Guneri
This paper addresses an effective early detection system of wildfires using high resolution images from low-light sensitive cameras linked to an innovative HS/RF (High Speed/Radio Frequency) communications grid. Using data compression techniques a data-stream and signal management application combined with OFDM data transmission the HS/RF enables "broadband speed" wireless communications. This obviates the need for expensive FO cabled infrastructure in remote locations meaning the proposed system is relatively inexpensive to deploy. In terms of forestry management the HS/RF system exhibits dual advantages, because the video-stream provides real images on the ground there should be a reduction in false-alarms and a reduction in the decisions-time to enable a rapid response. Systems processes and specialized hardware required to support operational details are also described. © 2009 IEEE. © 2010 Elsevier B.V. All rights reserved.
A Comparative Study of Artificial Intelligence Based Methods for Abnormal Pattern Identification in SPC
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Umut Avci; Onder Bulut; Ayhan Ozgur Toy; Toy, Ayhan Ozgur; Bulut, Onder; Avci, Umut; C Kahraman; AC Tolga; SC Onar; S Cebi; B Oztaysi; IU Sari
Statistical process control techniques have been used to detect any assignable cause that may result in a lower quality. Among these techniques is the identification of any abnormal patterns that may indicate the presence of an assignable cause. These abnormal patterns may be in the form of steady movement in one direction i.e. trends, an instantaneous change in the process mean i.e. sudden shift, a series of high observations followed by a series of low observations i.e. cycles. As long as we can classify the observed data the decision maker can decide on actions to be performed to ensure quality standards and planning for interventions. In identification of these abnormal patterns rather than relying on human element intelligent tools have been proposed in the literature. We attempt to provide a comparative study of various classification algorithms used for pattern identification in statistical process control. We specifically consider six different types of patterns to classify. These different types are: (1) Normal (2) Upward trend (3) Downward trend (4) Upward shift (5) Downward shift (6) Cyclic. A recent trend in classification is to use deep neural networks (DNNs). However due to the design complexity of DNNs alternative classification methods should also be considered. Our focus on this study is to compare traditional classification methods to a recent DNN solution in the literature in terms of their efficiencies. Our numerical study indicates that basic classification algorithms perform relatively well in addition to their structural advantages.
Citation - WoS: 38
Citation - Scopus: 40
A comparative study on conventional and advanced exergetic analyses of geothermal district heating systems based on actual operational data
(Elsevier Science SA, 2013) A. Hepbasli; Ali Keçebaş; Hepbasli, Arif; Kecebas, Ali
This paper comparatively evaluates exergy destructions of a geothermal district heating system (GDHS) using both conventional and advanced exergetic analysis methods to identify the potential for improvement and the interactions among the components. As a real case study the Afyon GDHS in Afyonkarahisar Turkey is considered based on actual operational data. For the first time advanced exergetic analysis is applied to the GDHSs in which the exergy destruction rate within each component is split into unavoidable/avoidable and endogenous/exogenous parts. The results indicate that the interconnections among all the components are not very strong. Thus one should focus on how to reduce the internal inefficiency (destruction) rates of the components. The highest priority for improvement in the advanced exergetic analysis is in the re-injection pump (PM-IX) while it is the heat exchanger (HEX-III) in the conventional analysis. In addition there is a substantial influence on the overall system as the total avoidable exergy destruction rate of the heat exchanger (HEX-V) has the highest value. On the overall system basis the value for the conventional exergetic efficiency is determined to be 29.29% while that for the modified exergetic efficiency is calculated to be 34.46% through improving the overall components. © 2013 Elsevier B.V. © 2013 Elsevier B.V. All rights reserved.
Citation - WoS: 12
Citation - Scopus: 13
A comparative study on estimating the landfill gas potential: Modeling and analysis
(Taylor and Francis Inc. 325 Chestnut St Suite 800 Philadelphia PA 19106, 2016) Ali Kemal Çakir; Huseyin Gunerhan; A. Hepbasli; Hepbasli, A.; Gunerhan, H.; Cakir, A. K.
The main objective of this study is to investigate the use of the landfill gas as potential energy and electricity obtained from the municipal solid waste (domestic industrial medical waste and sewage sludge) stored regularly in the Harmandali solid waste landfill area within the boundaries of the contiguous area of Izmir. The most important factor in making a decision about energy potential in the landfill is the amount of methane in the landfill gas. There are several approaches that have been used to determine the amount of the landfill gas. In this study three different methods and one approach in the literature were used for this purpose. The methods used are the Multi-Phase the LandGEM and the IPCC 2006. The results of the landfill gas obtained using the three methods namely the Multi-Phase the LandGEM (k = 0.35 k = 0.1 and k = 0.05) and the IPCC 2006 were as follows respectively: 291897215 792073359 769734749 681685027 and 491752247 m3. It may be concluded that the Harmandali Landfill has high landfill gas potential based on the measurements and mathematical methods used in the Harmandali landfill. © 2017 Elsevier B.V. All rights reserved.

Browse

Browsing Scopus İndeksli Yayınlar Koleksiyonu by Publication Index "WoS"