Browsing by Author "Kocabiyik, Cennet"

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Citation - Scopus: 3
A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic
(Institute of Electrical and Electronics Engineers Inc., 2021) Mert Nakıp; Arda Asut; Cennet Kocabiyik; Cüneyt Güzeliş; Kocabiyik, Cennet; Güzelis, Cuneyt; Asut, Arda; Nakip, Mert
Distributing the peak load and alleviating grid stress by considering hourly electricity prices are some of the main research problems for current smart grid systems. This paper deals with the scheduling problem of home appliances' operating hours in smart grids which aims to achieve minimum cost in user-defined operation intervals. To this end scheduling via Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic (ANN-AH) method that emulates the operation of the optimization for smart home demand response is developed. Our results show that a home demand response via ANN-AH achieves close to optimal performance with 10 times lower execution time than the optimal scheduling. These results suggest that the ANN-AH based demand response is highly successful and practical and it is promising for future applications in micro-grid and decentralized renewable energy systems. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Analysis and design of an air to air heat exchanger used in energy recovery systems
(Erol Kurt, 2022) Helin Ülgen Elmacioǧlu; Irem Özsevgin; Cennet Kocabiyik; Nezir Yağız Çam; Levent Bilir; Elmacioǧlu, Helin Ülgen; Kocabiyik, Cennet; Özsevgin, Irem; Bilir, Levent; Čam, Nezir Yaǧiz
With the continuous worldwide energy use increase energy efficiency is gaining high importance. Consequently many methods have been investigated for potential energy savings. One of these methods is the use of heat recovery systems. These systems basically re-use waste heat and reduce energy consumption. Also they are increasingly used to reduce heating and cooling demands of buildings. Their main feature is to provide fresh air to the place which is heated by the exhaust air with the help of a heat exchanger (HEX) working between two different temperature sources. The most commonly used types of heat exchangers in ventilation systems are cross-flow and counter-flow heat exchangers. Cross-flow heat exchangers have a thermal efficiency in the range of 50-75% while counter-flow heat exchangers have 75-95%. Many studies have been carried out to increase the efficiency of this type of heat exchangers. In this study different designs of crossflow and counter-flow exchangers are compared using ANSYS Fluent software. The aim is to determine how the plate surface geometry affects heat transfer and pressure drop. It is aimed to find the optimum design with maximum efficiency high heat transfer and low pressure drop for heat exchangers. As a result it has been observed that thermal efficiency increased from 18% to 60% when changing from cross flow to counter flow in flat plate design while it increased from 25% to 77% in enhanced plate designs. For enhanced designs counter flow heat exchanger is 52% more efficient than cross flow heat exchanger. Also improvements to increase the surface area and turbulence in both flow types have increased heat transfer and thermal efficiency. © 2022 Elsevier B.V. All rights reserved.