Ahmet Deniz Yücekaya

Yücekaya, Ahmet Deniz

Name Variants

A. Yücekaya
YÜCEKAYA, AHMET DENIZ
Yücekaya, A.
Yucekaya A.
Yücekaya, Ahmet Deniz
Yücekaya,A.D.
Ahmet Deniz, Yucekaya
Ahmet Deniz YÜCEKAYA
Yücekaya, A. D.
AHMET DENIZ YÜCEKAYA
Yucekaya,Ahmet Deniz
A. D. Yücekaya
Yucekaya,A.D.
Ahmet Deniz Yücekaya
Yucekaya, Ahmet Deniz
YÜCEKAYA, Ahmet Deniz
Y.,Ahmet Deniz
Yücekaya, AHMET DENIZ
Y., Ahmet Deniz

Job Title

Prof. Dr.

Email Address

ahmety@khas.edu.tr

ORCID ID

0000-0002-3271-8418

Scopus Author ID

24823628300

Full item page

Scholarly Output

12

Articles

3

Citation Count

10

Supervised Theses

9 Scholarly Output Search Results

Now showing 1 - 10 of 12

Economic and operational analysis of compressed air energy storage systems
(Kadir Has Üniversitesi, 2011) Yücekaya, Ahmet Deniz; Yücekaya, Ahmet Deniz
A Compressed Air Energy Storage System (CAES) is a way to store energy to be used when the demand for energy is high. in this system the air is pumped into a cavern when the power price is low and the air is used in a natural gas fired turbine to generate power when the price is high aiming to make profit from this price difference. The system can pump or generate or do both. Typically the power price is low at nights and high during the daytime. However the power and natural gas price along with the heat rate of the turbine should be included to the model to determine when the air should be pumped and when the power should be generated to maximize the revenue. in this research a mixed integer programming method is developed to determine a pumping-generation schedule for the CAES given that market and natural gas price for each hour can be forecasted. Appropriate forecasting methods are used to simulate the power and natural gas prices for the analysis. The model is coded in General Algebraic Modeling System (GAMS) and a case study is presented to validate the model. in addition to scheduling of the CAES another important contribution of this research is to develop a framework for investor companies who wish to build a CAES system. We develop 30-years long market price and natural gas price scenarios and we find annual profits through optimum scheduling of the CAES plant given that market price and natural gas prices are variable. Then we use appropriate engineering economics tools to estimate a Net Present Worth value of each different scenario for the decision makers of the investment companies.
An analysis of development indicators for turkey based on the historical development of 500 largest industrial organizations
(Kadir Has Üniversitesi, 2015) Yücekaya, Ahmet Deniz; Yücekaya, Ahmet Deniz
Economies live rapid changes in terms of size direction and intention due to globalization population increase of countries and technological developments. These changes seemed clearer in developing countries because of fast progress and demand increases. Especially in last 10 year period Turkey gained economical acceleration along with growth and development. Parallel to these developments diversification in industrial areas and evolvement in remained areas used as an answer. in this aspect istanbul Chamber of industry announced Turkey's top 500 industrial enterprises each year. in this study Turkey's developing economy was analyzed with iSO Top 500 List for 2002-2012 periods in order to identify vector sectors and economical variance. According to analysis changes in industrial effects on Turkey's economy were investigated.
2050 yılına kadar sıfır karbon emisyon hedefi: Türkiye'de %100 temiz elektriğin uygulanabilirliği
(Kadir Has Üniversitesi, 2021) Yücekaya, Ahmet Deniz; Bilge, Ayşe Hümeyra; Yücekaya, Ahmet Deniz
The aim of this study is to make projections about how much resources Turkey needs to meet its electricity demand within the framework of zero carbon emissions by 2050, and to make evaluations about renewable energy capacity to meet this need. The data used in this study were obtained through World Bank, Turkish Electricity Transmission Corporation and Energy Exchange İstanbul. In the first part, electricity supply sources, capacities and potentials in Turkey are discussed. In the second part, the current state of electricity consumption is examined; analyzes on the effects of population, national income and technology on electricity consumption are evaluated. In the third part, the level that the electricity demand will reach in 2050 depending on national income, population and technology has been estimated in various scenarios and the predicted demand is compared with the renewable energy potential. In the fourth and last part, evaluations have been made on the potential renewable electricity capacity and projected energy demand scenarios. Keywords: Electricity demand projection based on population, national income and technology, Zero carbon emissions
Citation Count: 2
Forecasting Hourly Electricity Demand Under COVID-19 Restrictions
(Econjournals, 2022) Yücekaya, Ahmet Deniz; Bilge, Ayşe Hümeyra; Hekimoğlu, M.; Aktunc, E.A.; Yücekaya, A.; Bilge, A.
The rapid spread of the COVID-19 pandemic has severely impacted many sectors including the electricity sector. The restrictions such as lockdowns, remote-working, and-schooling significantly altered the consumers’ behaviors and demand structure especially due to a large number of people working at home. Accurate demand forecasts and detailed production plans are crucial for cost-efficient generation and transmission of electricity. In this research, the restrictions and their corresponding timing are classified and mapped with the Turkish electricity demand data to analyze the impact of the restrictions on total demand using a multiple linear regression model. In addition, the model is utilized to forecast the electricity demand in pandemic conditions and to analyze how different types of restrictions impact the total electricity demand. It is found that among three levels of COVID-19 restrictions, age-specific restrictions and the complete lockdown have different effects on the electricity demand on weekends and weekdays. In general, new scheduling approaches for daily and weekly loads are required to avoid supply-demand mismatches as COVID-19 significantly changed the consumer behavior, which appears as altered daily and weekly load profiles of the country. Long-term policy implications for the energy transition and lessons learned from the COVID-19 experience are also discussed. © 2022, Econjournals. All rights reserved.
Türkiye elektrik piyasası için arz ve talep değerlendirmesi ve projeksiyonları: 2010 – 2016 dönemi
(Kadir Has Üniversitesi, 2017) Yücekaya, Ahmet Deniz; Yücekaya, Ahmet Deniz
Bu çalışmanın amacı Türkiye'nin elektrik arzı ve talebini incelemek ve ilerleyen yıllarda bu dengenin nasıl değişebileceğine dair değerlendirmelerde bulunmaktır. Elektrik üretimi ve tüketimine ait veriler Enerji Piyasaları İşletme Anonim Şirketi tarafından kullanıma sunulan şeffaflık platformu üzerinden elde edilmiştir. İlk aşamada Türkiye'nin kurulu gücü, kişi başına düşen elektrik kullanımı ve elektrik tüketimi verileri incelenip değerlendirmelerde bulunulmuştur. İkinci aşamada Türkiye'nin elektrik arzının santraller bazında incelemeleri gerçekleştirilip Türkiye elektrik üretiminin ağırlıklı olarak hangi santraller üzerinden yapıldığı saptanmıştır. Ayrıca Türkiye'nin elektrik üretiminin santral tiplerine göre dağılımı ve bu santraller arasındaki ilişkiler incelenmiştir. Oluşturulan elektrik enerjisi talep projeksiyonları ile Türkiye'nin gelecek yıllardaki olası elektrik enerjisi tabi değerlendirilmiştir. Bu elektrik talebine karşılık arz yaratabilmek adına hangi santral tiplerindeki üretimlerin ilerleyen dönemlerde nasıl şekillenebileceğine dair bulgular değerlendirilmiştir.
An evaluation of energy and electricity in Pakistan
(Kadir Has Üniversitesi, 2016) Yücekaya, Ahmet Deniz; Yücekaya, Ahmet Deniz
Pakistan is a developing country and it can only move forward once the energy sector is secure and self sufficient. Right from the beginning the country has constantly faced energy shortages in all sectors due to incompetent policies and governence. This study frames the analysis of the current energy situation with main focus on electricity. All the factors which are hampering the growth of the energy sector are identified and potential solutions are discussed. Matching the electricity supply and demand is the ultimate goal therefore a forecast analysis (multiple regression model) based on seasonal variation in temperature is performed in order to predict the future electric consumption and help authorities take necessary actions for fulfilment. Finally a comprehensive detail is provided on the causes and problems of the energy crisis and potential solutions and reforms are provided.
Decarbonization pathways for Turkish power system using the leap model Leap modeli kullanılarak Türkiye elektrik sistemi için dekarbonizasyon yolları
(Kadir Has Üniversitesi, 2021) Yücekaya, Ahmet Deniz; Kirkil, Gökhan; Yücekaya, Ahmet Deniz
The negative impact of GHG released into the atmosphere on global warming cannot be ignored. Fossil-fueled power plants constitute a large part of Turkey's electricity production, as every country has a growing economy. Therefore, the electricity generation sector accounts for a significant portion of GHG emissions in Turkey. In addition to national bindings such as the Paris Agreement and the Kyoto Protocol, it is known that the Republic of Turkey aims to make not only electricity but also energy production greener in the coming years, in line with its own efforts. For this purpose, there are different modeling studies in the literature. This thesis aims to model Turkey's electricity generation sector in 2017, reveal the current situation, and then analyze how a greener and sustainable energy transformation will be possible with different scenarios and different main factors. In this direction, Turkey's electricity generation sector was modeled using the LEAP tool, then the decarbonization scenarios created within the openENTRANCE project were adapted to Turkey's data, and the numerical results of the scenarios were compared. As a result, it has been revealed that social awareness, adaptation to new technologies, and incentives of decision-makers are all critical factors in this regard.
A decision support system for assembly line balancing problem
(Kadir Has Üniversitesi, 2015) Yücekaya, Ahmet Deniz; Yücekaya, Ahmet Deniz
Assembly line balancing problems are generally considered to be complicated in real life. Like most complicated real life assembly line balancing problems obtaining a good solution is much easier than finding an optimal solution especially with big size problems. As a result, many heuristic approaches have been developed to find good optimal solutions to those problems. In this study, we develop a decision support system that solves a deterministic assembly line balancing problem using three heuristic approaches. The objectives considered are: minimizing the number of workstations, maximization of line efficiency and minimization of balance delay. Our aim is using the decision support system created; user can enter any value into the system and obtain 3 different results. The results obtained are feasible enough which shows that the decision support system works and can be able to solve even larger problems if the correct formula is applied
Citation Count: 6
Optimization of wastewater treatment systems for growing industrial parks
(Elsevier B.V., 2023) Yücekaya, Ahmet Deniz; İşler, Z.; Hekimoğlu, M.; Burak, S.; Karlı, D.; Yücekaya, A.; Akpınar, E.
Wastewater treatment is one of the crucial functions of industrial parks as wastewater from industrial facilities usually contains toxic compounds that can cause damage to the environment. To control their environmental loads, industrial parks make investment decisions for wastewater treatment plants. For this, they need to consider technical and economic factors as well as future growth projections as substantial construction and operational costs of wastewater treatment plants have to be shared by all companies in an industrial park. In this paper, we consider the long-term capacity planning problem for wastewater treatment facilities of a stochastically growing industrial park. By explicitly modeling randomness in the arrival of new tenants and their random wastewater discharges, our model calculates the future mean and variance of wastewater flow in the industrial park. Mean and variance are used in a Mixed Integer Programming Model to optimize wastewater treatment plant selection over a long planning horizon (30 years). By fitting our first model to empirical data from an industrial park in Turkey, we find that considering the variance of wastewater load is critical for long-term planning. Also, we quantify the economic significance of lowering wastewater discharges which can be achieved by water recycling or interplant water exchange. © 2023 Elsevier B.V.
Trend forecast and collection management in apparel retail
(Kadir Has Üniversitesi, 2022) Arkan, Ramazan; Yücekaya, Ahmet Deniz; Agca Aktunc, Esra; Yücekaya, Ahmet Deniz
This study addresses the new methods and some existing methods with a different approach for trend forecasting and using new trends in the collections in apparel retail industry. There are several approaches to determine the potential of fashion trends. This study describes several approaches for trend forecasting and develops methods for measuring the potential of new fashion trends with unknown potential and without sales data. Firstly, merchandise testing focuses on the process of testing products with new trends. It describes the test store selection, forecasting methods and analyze the accuracy of forecasting with real data. Secondly, Sales-Based Store Network of Stores model is presented to examine cross-store sales similarity and establishes a store network using Collaborative Filtering method as in recommendation systems. A clustering method like K-means is studied to cluster the stores using store network data. Moreover, Distribution of Collection into Store method focuses on distributing the main collection made for a category into each stores using some constraints such as capacity of stores, rates of product attributes in the main collection. Integer programming is used to distribute the collection. The sales potential of the new planned products is crucial. It is necessary to choose the products with highest potential among the hundreds of products. Prediction of products’ demand based on stores addresses a prediction model using sales data containing store features and product attributes with different forecasting methods with different parameters. Furthermore, store-based forecasts are used in Distribution of collection into stores method while selecting the best products for the stores.