Biyik, Emrah
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Dr.Öğr.Üyesi
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01.01.09.04. Enerji Sistemleri Mühendisliği Bölümü
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Current Staff
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Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
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3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
0
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
3
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7AFFORDABLE AND CLEAN ENERGY
14
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8DECENT WORK AND ECONOMIC GROWTH
0
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
2
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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13CLIMATE ACTION
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14LIFE BELOW WATER
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15LIFE ON LAND
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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Documents
39
Citations
1432
h-index
17
Documents
36
Citations
1172
Scholarly Output
31
Articles
16
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0/1
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WoS Citation Count
969
Scopus Citation Count
1143
Patents
0
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0
WoS Citations per Publication
31.26
Scopus Citations per Publication
36.87
Open Access Source
12
Supervised Theses
0
| Journal | Count |
|---|---|
| Electric Power Systems Research | 2 |
| American Control Conference | 2 |
| 3rd International Conference on Energy and Environment Research ICEER 2016 | 2 |
| 2017 American Control Conference ACC 2017 | 1 |
| 2018 Annual American Control Conference ACC 2018 | 1 |
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31 results
Scholarly Output Search Results
Now showing 1 - 10 of 31
Article Citation - WoS: 58Citation - Scopus: 63A method of strategic evaluation of energy performance of Building Integrated Photovoltaic in the urban context(ELSEVIER SCI LTD, 2018) V. Costanzo; R. Yao; E. Essah; L. Shao; M. Shahrestani; A. C. Oliveira; M. Araz; A. Hepbasli; E. Biyik; Essah, E.; Shahrestani, M.; Yao, R.; Biyik, E.; Shao, L.; Costanzo, V.; Oliveira, A. C.This paper presents an integrated bottom-up approach aimed at helping those dealing with strategical analysis of installation of Building Integrated Photo Voltaic (BIPV) to estimate the electricity production potential along with the energy needs of urban buildings at the district scale. On the demand side hourly energy profiles are generated using dynamic building simulation taking into account actual urban morphologies. On the supply side electricity generated from the system is predicted considering both the direct and indirect components of solar radiation as well as local climate variables. Python-based Algorithm editor Grasshopper is used to interlink four types of modelling and simulation tools as 1) generation of 3-D model 2) solar radiation analysis 3) formatting weather files (TMY data set) and 4) dynamic energy demand. The method has been demonstrated for a cluster of 20 buildings located in the Yasar University in Izmir (Turkey) for which it is found the BIPV system could achieve an annual renewable share of 23% in line with the Renewable Energy Directive target of 20%. Quantitatively compared demand and supply information at hourly time step shows that only some energy needs can be met by BIPV so there is a need for an appropriate matching strategy to better exploit the renewable energy potential. (C) 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.Review Citation - WoS: 347Citation - Scopus: 419A key review of building integrated photovoltaic (BIPV) systems(Elsevier B.V., 2017) Emrah Biyik; Mustafa Araz; A. Hepbasli; Mehdi Shahrestani; Runming Yao; Li Shao; Emmanuel A. Essah; Armando Coelho Oliveira; Teodosio del Caño; Elena Rico; Shahrestani, Mehdi; Hepbasli, Arif; Biyik, Emrah; Yao, Runming; Shao, Li; Araz, Mustafa; Atli, Yusuf BaverRenewable and sustainable energy generation technologies have been in the forefront due to concerns related to environment energy independence and high fossil fuel costs. As part of the EU's 2020 targets it is aimed to reach a 20% share of renewable energy sources in final energy consumption by 2020 according to EU's renewable energy directive. Within this context national renewable energy targets were set for each EU country ranging between 10% (for Malta) and 49% (for Sweden). A large share of renewable energy research has been devoted to photovoltaic systems which harness the solar energy to generate electrical power. As an application of the PV technology building integrated photovoltaic (BIPV) systems have attracted an increasing interest in the past decade and have been shown as a feasible renewable power generation technology to help buildings partially meet their load. In addition to BIPV building integrated photovoltaic/thermal systems (BIPV/T) provide a very good potential for integration into the building to supply both electrical and thermal loads. In this study we comprehensively reviewed the BIPV and BIPVT applications in terms of energy generation amount nominal power efficiency type and performance assessment approaches. The two fundamental research areas in the BIPV and BIPVT systems are observed to be i) improvements on system efficiency by ventilation hence obtaining a higher yield with lowering the panel temperature ii) new thin film technologies that are well suited for building integration. Several approaches to achieve these objectives are reported in the literature as presented in this paper. It is expected that this comprehensive review will be beneficial to researchers and practitioners involved or interested in the design analysis simulation and performance evaluation financial development and incentives new methods and trends of BIPV systems. © 2018 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 1Reduced order modeling for clearance control in turbomachinery(Institute of Electrical and Electronics Engineers Inc., 2016) Emrah Biyik; Fernando Javier D'Amato; Arun K. Subramaniyan; Changjie Sun; Subramaniyan, Arun; Sun, Changjie; Biyik, Emrah; D'Amato, Fernando J.Finite element models (FEMs) are extensively used in the design optimization of utility scale steam turbines. As an example by simulating multiple startup scenarios of steam power plants engineers can obtain turbine designs that minimize material utilization and at the same time avoid the damaging effects of large thermal stresses or rubs between rotating and stationary parts. Unfortunately FEMs are computationally expensive and only a limited amount of simulations can be afforded to get the final design. For this reason numerous model reduction techniques have been developed to reduce the size of the original model without a significant loss of accuracy. When the models are nonlinear as is the case for steam turbine FEMs model reduction techniques are relatively scarce and their effectiveness becomes application dependent. Although there is an abundant literature on model reduction for nonlinear systems many of these techniques become impractical when applied to a realistic industrial problem. This paper focuses in a class of nonlinear FEM characteristic of thermo-elastic problems with large temperature excursions. A brief overview of popular model reduction techniques is presented along with a detailed description of the computational challenges faced when applying them to a realistic problem. The main contribution of this work is a set of modifications to existing methods to increase their computational efficiency. The methodology is demonstrated on a steam turbine model achieving a model size reduction by four orders of magnitude with only 5% loss of accuracy with respect to the full order FEMs. These practical implementations enable the calculation of multiple additional design scenarios. © 2017 Elsevier B.V. All rights reserved.Article Citation - WoS: 90Citation - Scopus: 93A predictive control strategy for optimal management of peak load thermal comfort energy storage and renewables in multi-zone buildings(ELSEVIER, 2019) Emrah Biyik; Aysegul Kahraman; Biyik, Emrah; Kahraman, AysegulBuildings are responsible for about 40% of the global energy consumption where heating ventilation and air conditioning (HVAC) systems account for the most part of it. Continuous increase in the installation of new HVAC systems and higher penetration of renewables and energy storage in the building energy network require more sophisticated control approaches to realize the full potential of these systems. In this paper an optimal control framework to coordinate HVAC battery energy storage and renewable generation in buildings is developed. The controller aims to reduce peak load demand while achieving thermal comfort within industry standards. To facilitate this a simple lumped mathematical model that describes the zone transient thermal dynamics is structured with a minimal data from the building and is trained with actual thermal and electrical data. Next a model predictive control algorithm that takes into account building thermal dynamics battery state of charge renewable generation status and actual operational data and constraints is formulated to regulate HVAC demand battery power and building thermal comfort. The controller considers the changes in the outside dry-bulb air temperature electricity price required energy amount and comfort conditions simultaneously in order to find the proper optimal zone temperatures guaranteeing occupant comfort. The new controller was tested using data from a real building and preliminary results indicate that significant reduction in peak electrical power demand can be achieved by the proposed approach.Article Citation - WoS: 22Citation - Scopus: 23Multiparameter-based product energy and exergy optimizations for biomass gasification(Elsevier Ltd, 2021) Başar Ca̧ǧlar; Duygu Tavsanci; Emrah Biyik; Caglar, Basar; Tavsanci, Duygu; Biyik, EmrahThe thermodynamic modelling of biomass gasification was studied by using Gibbs free energy minimization approach. Different from the studies using the same approach the simultaneous presence of all gasifying agents (air H2O and CO2) was considered and a multiparameter optimization was applied to determine the synergetic effect of gasifying agents for hydrogen syngas with a specific H2/CO ratio and methane production. The performance of gasification was assessed by using technical and environmental performance indicators such as product yields cold gas efficiency exergy efficiency CO2 emission and the heat requirement of the gasifier. The results show that the simultaneous presence of gasifying agents does not create considerable changes in syngas yield H2 yield methane yield CGE and exergy efficiency while it allows to tune the H2/CO ratio and the heat requirement of the gasifier. The highest syngas yield is observed at T > 1100 K and 1 bar and when SBR > 0.5 and/or CBR > 0.8 with the absence of air at which CGE changes between 114% and 122% while exergy efficiency is between 77% and 86%. The results prove that CO2 offers several advantages as a gasifying agent and suggests that CO2 recycling from gasifier outlet is a useful option for the biomass gasification. © 2021 Elsevier B.V. All rights reserved.Conference Object Citation - Scopus: 5Structurally Constrained ell 1-Sparse Control of Power Systems: Online Design and Resiliency Analysis(Institute of Electrical and Electronics Engineers Inc., 2018) Abhishek Jain; Aranya Chakrabortty; Emrah Biyik; Chakrabortty, Aranya; Biyik, Emrah; Jain, AbhishekThis paper presents a sparse Linear Quadratic Regulator (LQR) design for damping oscillations in wide-area power system networks. We first show how depending on the severity and location of a fault different sets of generators can have different contributions to the inter-area oscillation modes. This information is used to construct the communication topology for feedback control. An additional layer of sparsity is imposed on top of this communication structure by posing an ell 1-sparsification of the generator states that are transmitted through each communication link. An algorithm is provided where the designed sparse controller is also used to enhance the resiliency of the closed-loop system against denial-of-service (DoS) attacks. Results are validated using simulations on the IEEE 39-bus New England power system model. © 2018 Elsevier B.V. All rights reserved.Article Evaluation of Centralized and Distributed Energy Storage Systems in Residential Microgrid Topologies(2025) Polat, Sezai; Bıyık, EmrahThe determination of both the connection topology and capacity sizing of the battery energy storage system (BESS) in a microgrid is crucial when considering energy bills and reliability indicators, as the usage type of the BESS affects investment and energy costs. In this study, the performances of individual and shared BESSs are compared across different price tariffs in a multi-microgrid structure designed using historical real data and existing prosumer solar homes. To illus- trate the effects of the integrated BESS and grid outages on the cost of energy and net present cost (NPC), a BESS is first integrated into the selected solar home as a sample. The calculations are then made assuming an outage in the grid connected to the selected home with the integrated BESS. In the proposed system topology, which utilizes five selected solar homes with a shared BESS, the NPCs were found to be 51%, 28%, and 37% lower compared to individual systems for real-time pricing (RTP), flat price tariff (FPT), and time-of-use pricing (ToU), respectively. Furthermore, in modeling these grid interruptions, which are a real-life condition, system reliability indices such as system average interruption duration index and system average interruption frequency index were considered in the system sizing and cost optimization. When these indices were taken into account, similar reductions were observed compared to the individual system: 9% in RTP, 26% in FPT, and 61% in ToU, respectively.Conference Object Citation - WoS: 3Citation - Scopus: 3Performance Assessment of a Near Room Temperature Magnetic Cooling System(Elsevier Ltd, 2017) Orhan Ekren; Ahmet Yilanci; Mehmet Akif Ezan; Murat Kara; Emrah Biyik; Ekren, O.; Kara, M.; Yilanci, A.; Ezan, M.A.; Biyik, E.; N.S. Caetano , N.S. Caetano , M.C. Felgueiras , M.A. FormentIn this study performance of a near room temperature magnetic cooling system was investigated experimentally in terms of temperature span. The current setup has a permanent magnet pairs (0.7 Tesla) a magnetocaloric material (Gadolinium) and a heat transfer fluid (water ethylene glycol and 10% ethanol-water mixing) furthermore solar energy was used as a power source of liner motion of the magnetic system. The obtained results showed that ethanol-water was the best heat transfer fluid and also that optimum magnetization-demagnetization period for the system was found 10 s. © 2017 Elsevier B.V. All rights reserved.Article Citation - WoS: 19Citation - Scopus: 20Numerical analysis of a near-room-temperature magnetic cooling system, Analyse numérique d'un système de froid magnétique proche de la température ambiante(Elsevier Ltd, 2017) Mehmet Akif Ezan; Orhan Ekren; Cagri A.S. Metin; Ahmet Yilanci; Emrah Biyik; Salih Murat Kara; Ekren, Orhan; Yilanci, Ahmet; Kara, Salih Murat; Ezan, Mehmet Akif; Biyik, Emrah; Metin, CagriIn this study for a near-room-temperature magnetic cooling system a decoupled multi-physics numerical approach (Magnetism Fluid Flow and Heat Transfer) is developed using a commercial CFD solver ANSYS-FLUENT as a design tool. User defined functions are incorporated into the software in order to take into account the magnetocaloric effect. Magnetic flux density is assumed to be linear during the magnetization and demagnetization processes. Furthermore the minimum and maximum magnetic flux densities (Bmin and Bmax) are defined as 0.27 and 0.98 respectively. Two different sets of analyses are conducted by assuming an insulated cold heat exchanger (CHEX) and by defining an artificial cooling load in the CHEX. As a validation case experimental work from the literature is reproduced numerically and the results show that the current methodology is fairly accurate. Moreover parametric analyses are conducted to investigate the effect of the velocity of heat transfer fluid (HTF) and types of HTF on the performance of the magnetic cooling system. Also the performance metrics of the magnetic cooling system are investigated with regards to the temperature span of the magnetic cooling unit and the cooling load. It is concluded that reducing the cycle duration ensures reaching lower temperature values. Similarly reducing the velocity of the HTF allows reducing the outlet temperature of the HTF. In the current system the highest temperature spans are obtained numerically as around 6 K 5.2 K and 4.1 K for the cycle durations of 4.2 s 6.2 s and 8.2 s respectively. © 2017 Elsevier B.V. All rights reserved.Article Citation - WoS: 25Citation - Scopus: 27Distributed wide-area control of power system oscillations under communication and actuation constraints(Elsevier Ltd, 2018) Abhishek Jain; Aranya Chakrabortty; Emrah Biyik; Chakrabortty, Aranya; Biyik, Emrah; Jain, AbhishekIn this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber–physical constraints — namely communication constraints that lead to sparsification of the underlying communication network and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine 140-bus model for the Northeast Power Coordinating Council. © 2018 Elsevier B.V. All rights reserved.
