Yücekaya, Ahmet Deniz

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Profile URL
https://hdl.handle.net/20.500.12469/6153
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
Yücekaya, Ahmet Çelebi
Yücekaya, Ahmet Deniz
Yucekaya, Ahmet
Yücekaya, Ahmet
Job Title
Prof. Dr.
Email Address
[email protected]
Main Affiliation
Industrial Engineering
Status
Current Staff
Website
ORCID ID
0000-0002-3271-8418
Scopus Author ID
24823628300
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
F-7649-2013

Sustainable Development Goals

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LIFE ON LAND
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PEACE, JUSTICE AND STRONG INSTITUTIONS
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14

LIFE BELOW WATER
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CLEAN WATER AND SANITATION
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6

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3

GOOD HEALTH AND WELL-BEING
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17

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QUALITY EDUCATION
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ZERO HUNGER
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10

REDUCED INEQUALITIES
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7

AFFORDABLE AND CLEAN ENERGY
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13

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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5

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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3

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DECENT WORK AND ECONOMIC GROWTH
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SUSTAINABLE CITIES AND COMMUNITIES
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Documents

34

Citations

533

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22

Citations

418

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Scholarly Output

48

Articles

30

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313/5319

Supervised MSc Theses

9

Supervised PhD Theses

2

WoS Citation Count

355

Scopus Citation Count

486

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11

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WoS Citations per Publication

7.40

Scopus Citations per Publication

10.13

Open Access Source

27

Supervised Theses

11

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International Journal of Energy Economics and Policy7
Journal of Hydrologic Engineering4
Energy Sources, Part B: Economics, Planning, and Policy3
Renewable and Sustainable Energy Reviews2
Energy Strategy Reviews2
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Now showing 1 - 10 of 48
  • Thumbnail Image
    Article
    Citation - WoS: 7
    Citation - Scopus: 12
    An Analysis of Price Spikes and Deviations in the Deregulated Turkish Power Market
    (Elsevier, 2019) Gayretli, Gizem; Yücekaya, Ahmet; Bilge, Ayşe Hümeyra
    The successful operation of a real time market is related to the planning in the day ahead market. We analyze the day ahead and real time market data for the Turkish power market for the period 2012-2015 to classify price spikes and their causes. We also focus on the levels of deviation between the day ahead market values and the real time market values. We define price deviation and load deviation ratios to measure the level of deviation both in price and demand. The analysis for the load is based on load shedding and cycling values. We analyze the mean and standard deviation in market prices and we determine the price spike as a two sigma deviation from the mean value. It is shown that 60% of the price deviation ratios are in the range of ( +/- 20%), while 44% are in the range of ( +/- 10%) and 35% are in the range of (+/- 5%). We also show that 56.9% of the spikes are due to problems in the generation of natural gas based power plants which affect the day ahead and real time prices. A total of 29.2% of the spikes are due to power plant and system failures that affect only real time prices. The share of high temperature based spikes is 13.9% which is a result of air conditioner usage.
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    Article
    Citation - Scopus: 19
    Optimization of Wastewater Treatment Systems for Growing Industrial Parks
    (Elsevier B.V., 2023) Savun-Hekimoğlu, B.; 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.
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    Article
    Citation - WoS: 11
    Citation - Scopus: 17
    A Fuzzy Anp-Based Gra Approach To Evaluate Erp Packages
    (IGI Global, 2019) Ayağ, Zeki; Yücekaya, Ahmet
    One of the major problems that most companies face with during the implementation of an ERP system is to determine the best satisfying ERP software based on their needs and expectations. Because an improperly selected ERP software might lead to time loss and increased costs and in the long run a loss of market share. Therefore the ERP evaluation process for companies becomes to a vital point. On the other hand evaluating ERP software alternatives under a set of criteria leads us to a multiple-criteria decision making (MCDM) problem and needs to use proper MCDM methods. In the current literature a number of the MCDM methods have been proposed to solve these kinds of problems both of which are the analytic network process (ANP) of Saaty and grey relational analysis (GRA) which has been widely used in solving MCDM selection problems in various fields. Moreover in this article the authors used the fuzzy extension of the ANP method to reflect the uncertainty and ambiguity of decision maker(s) into problem in order to reach more reliable solution. As the fuzzy ANP method was used to calculate the priority weights of the evaluation criteria the GRA method with fuzzy interval-values was employed to rank a set of the possible ERP software alternatives. The proposed approach was also validated in a case study to show its applicability to potential readers and practitioners. Copyright © 2019 IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
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    Article
    Citation - WoS: 32
    Citation - Scopus: 35
    Scheduling a Log Transport System Using Simulated Annealing
    (Elsevier Science, 2014) Haridass, Karunakaran; Valenzuela, Jorge; Yücekaya, Ahmet; McDonald, Tim
    The log truck scheduling problem under capacity constraints and time window constraints is an NP-hard problem that involves the design of best possible routes for a set of trucks serving multiple loggers and mills. The objective is to minimize the total unloaded miles traveled by the trucks. In this paper a simulated annealing - a meta-heuristic optimization method - that interacts with a deterministic simulation model of the log transport system in which the precedence and temporal relations among activities are explicitly accounted for is proposed. The results obtained by solving a small size problem consisting of four trucks two mills three loggers and four truck trips showed that the best solution could be found in less than two minutes. In addition the solution method is tested using data provided by a log delivery trucking firm located in Mississippi. The firm operates sixty-eight trucks to deliver loads from twenty-two logging operations to thirteen mill destinations. The routes assigned by a supervisory person are used as a benchmark to compare the manual generated solution to the solution obtained using the proposed method. (C) 2013 Elsevier Inc. All rights reserved.
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    Book Part
    A Network Model for the Location-Routing Decisions of a Logistics Company
    (Institute of Industrial Engineers, 2012) Sama, Funda; Yücekaya, Ahmet; Ayağ, Zeki
    In this paper, part of the logistics network of one of the leading logistics companies in Turkey is analyzed. Data related to the candidate warehouse locations, supplies and demands of customers are collected. A network model is developed in order to reconfigure the logistics network. The aim of the mathematical model is to help decision makers decide on the locations of warehouses, as well as routing products from suppliers to the distribution center; from distribution center to warehouses; and finally from warehouses to customers. The mathematical model is solved optimally with LINGO solver, and the comparison of the current network with the optimal solution revealed that the overall operating costs can be reduced by approximately 7%.
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    Master Thesis
    Sceheduling Pumped Hydro- Power Resources Under Price and Flow Uncertainty
    (Kadir Has Üniversitesi, 2012) Metin, Seda Sibel; Yücekaya, Ahmet Deniz
    Hydroelectric power plants should be preferred since they are environmentally friendly and they have low level of potential risks. Hydroelectric power plants are local resources that are environmentally compatible unpolluted capable of dealing with peak hour requirements highly efficient cost-free of fuel and playing a role as the insurance of energy prices. -- Abstract'dan.
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    Article
    Citation - WoS: 4
    Citation - Scopus: 6
    Agent-Based Optimization To Estimate Nash Equilibrium in Power Markets
    (Taylor & Francis Inc, 2013) Yücekaya, Ahmet; Valenzuela, Jorge
    In most deregulated power markets firms bid daily into a day-ahead power market. The auction mechanism supply and demand determine the equilibrium at each hour. In this environment firms aim to maximize their revenues by carefully determining their bids. This requires the development of effective computational methods that help them estimate their competitors' behaviors under incomplete information. In this article an agent-based method that uses particle swarm optimization is described to simulate the behavior of market participants. Particle swarm optimization is used in the bidding process and an agent-based model is applied to find a Nash equilibrium. Different stopping conditions are used to determine the equilibrium. Experimental results are presented for two power systems.
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    Article
    Citation - Scopus: 1
    Electric Power Bid Determination and Evaluation for Price Taker Units Under Price Uncertainty
    (Econjournals, 2021) Yucekaya, Ahmet; Valenzuela, J.
    Power companies aim to maximize their profit which is highly related to the bidding strategies used. In order to sell electricity at high prices and maximize their profit, power companies need suitable bidding models that consider power operating constraints and price uncertainty within the market. Price taker units have no power to affect the prices but need to determine their best bidding strategy to maximize their profit assuming a quadratic cost function and uncertain market prices. Price taker units also need to evaluate their bidding strategy under different price scenarios. In this paper, we first model the bidding problem for a price taker unit and then propose quadratic programming, nonlinear programming and marginal cost based bidding models under price uncertainty. We use case studies to study the computation burden and limitation to reach a solution. We also propose a simulation methodology to evaluate the performance of each bidding strategy for different market prices in an effort to help decision makers to assess their bidding decisions. © 2021, Econjournals. All rights reserved.
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    Article
    Citation - Scopus: 13
    Nutrient Dynamics in Flooded Wetlands. Ii: Model Application
    (2013) Kalin,L.; Hantush,M.M.; Isik,S.; Yucekaya,A.; Jordan,T.
    In this paper, the authors applied and evaluated the wetland nutrient model that was described in Paper I. Hydrologic and water quality data from a small restored wetland located on Kent Island,Maryland, which is part of the Delmarva Peninsula on the eastern shores of the Chesapeake Bay, was used for this purpose. The model was assessed through various methods against the observed data in simulating nitrogen (N), phosphorus (P), and total suspended sediment (TSS) dynamics. Time series plots of observed and simulated concentrations and loads generally compared well; better performance was demonstrated with dissolved forms of nitrogen, i.e., ammonia and nitrate. Through qualitative and quantitative sensitivity analysis, dominant processes in the study wetland were scrutinized. Nitrification, plant uptake, and mineralization were the most important processes affecting ammonia. Denitrification in the sediment layer and diffusion to bottom sediments were identified as key processes for nitrate. Settling and resuspension were the most important processes for particulate matter (organic N, sediment) and sediment-bound phosphate (inorganic P). Order of parameter sensitivities and dominant processes exhibited seasonality. Uncertainty bands created from Monte Carlo simulations showed that parameter uncertainty is relatively small; however, uncertainty in the wetland inflow rates and loading concentrations have much more bearing on model predictive uncertainty. N, P, and TSS mass balance analysis showed that the wetland removed approximately 23, 33, and 46%, respectively, of the incoming load (runoff + atmospheric deposition) over the two-year period, with more removal in year 1 (34, 43, and 55%, respectively), which had a long stretch of a dry period. The developed model can be employed for exploring wetland response to various climatic and input conditions, and for deeper understanding of key processes in wetlands. © 2013 American Society of Civil Engineers.
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    Article
    Citation - WoS: 19
    Optimization of Wastewater Treatment Systems for Growing Industrial Parks
    (Elsevier, 2023) Savun-Hekimoglu, Basak; Isler, Zulal; Hekimoglu, Mustafa; Burak, Selmin; Karli, Deniz; Yucekaya, Ahmet; Ediger, Volkan S.
    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.