Turhan, Cihan
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Cihan, Turhan
T.,Cihan
Turhan, Cihan
C., Turhan
T., Cihan
Turhan, C.
C.,Turhan
Turhan,C.
Turhan C.
T.,Cihan
Turhan, Cihan
C., Turhan
T., Cihan
Turhan, C.
C.,Turhan
Turhan,C.
Turhan C.
Job Title
Doçent Doktor
Email Address
cihan.turhan@atilim.edu.tr
Main Affiliation
Energy Systems Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING
1
Research Products
4
QUALITY EDUCATION
5
Research Products
5
GENDER EQUALITY
3
Research Products
7
AFFORDABLE AND CLEAN ENERGY
10
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
10
REDUCED INEQUALITIES
1
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
14
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
3
Research Products
Scholarly Output
51
Articles
33
Citation Count
264
Supervised Theses
5
45 results
Scholarly Output Search Results
Now showing 1 - 10 of 45
Article Citation - WoS: 30Citation - Scopus: 36Development of a Personalized Thermal Comfort Driven Controller for Hvac Systems(Pergamon-elsevier Science Ltd, 2021) Turhan, Cihan; Simani, Silvio; Akkurt, Gulden Gokcen; Energy Systems EngineeringIncreasing thermal comfort and reducing energy consumption are two main objectives of advanced HVAC control systems. In this study, a thermal comfort driven control (PTC-DC) algorithm was developed to improve HVAC control systems with no need of retrofitting HVAC system components. A case building located in Izmir Institute of Technology Campus-Izmir-Turkey was selected to test the developed system. First, wireless sensors were installed to the building and a mobile application was developed to monitor/ collect temperature, relative humidity and thermal comfort data of an occupant. Then, the PTC-DC algorithm was developed to meet the highest occupant thermal comfort as well as saving energy. The prototypes of the controller were tested on the case building from July 3rd, 2017 to November 1st, 2018 and compared with a conventional PID controller. The results showed that the developed control algorithm and conventional controller satisfy neutral thermal comfort for 92 % and 6 % of total measurement days, respectively. From energy consumption point of view, the PTC-DC decreased energy consumption by 13.2 % compared to the conventional controller. Consequently, the PTC-DC differs from other works in the literature that the prototype of PTC-DC can be easily deployed in real environments. Moreover, the PTC-DC is low-cost and user-friendly. (c) 2021 Elsevier Ltd. All rights reserved.Article Citation - WoS: 9Citation - Scopus: 11An Intelligent Indoor Guidance and Navigation System for the Visually Impaired(Taylor & Francis inc, 2022) Kahraman, M.; Turhan, C.; Energy Systems Engineering; Software EngineeringIntelligent guidance in complex environments where various procedures are required for navigation is critical to achieving mobility for the visually impaired. This study presents a newly developed software prototype with a hybrid RFID/BLE infrastructure to provide intelligent navigation and guidance to the visually impaired in complex indoor environments. The system enables the users to input their purpose via a specially designed user interface, and provides intelligent guidance through a chain of destination targets which are determined according to the inherent procedures of the environment. Path optimization is performed by adaptation of the traveling salesman problem, and real-time instantaneous instructions are provided to guide the users through the predetermined destination points. For evaluation purposes, a hospital environment is constructed as an example of a complex environment and the system is tested by visually impaired participants. The results show that the intelligent purpose selection and destination evaluation mechanism modules of the system are found to be effective by all the participants.Article Citation - WoS: 11Citation - Scopus: 12Integration of Psychological Parameters Into a Thermal Sensation Prediction Model for Intelligent Control of the Hvac Systems(Elsevier Science Sa, 2023) Turhan, Cihan; Ozbey, Mehmet Furkan; Lotfi, Bahram; Akkurt, Gulden Gokcen; Energy Systems Engineering; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing EngineeringConventional thermal comfort models take physiological parameters into account on thermal comfort models. On the other hand, psychological behaviors are also proven as a vital parameter which affects the thermal sensation. In the literature, limited studies which combine both physiological and psychological parameters on the thermal sensation models are exist. To this aim, this study develops a novel Thermal Sensation Prediction Model (TSPM) in order to control the HVAC system by considering both parameters. A data-driven TSPM, which includes Fuzzy Logic (FL) model, is developed and coded using Phyton language by the authors. Two physiological parameters (Mean Radiant Temperature and External Temperature) and one psychological parameter (Emotional Intensity Score (EIS) including Vigour, Depression, Tension with total of 32 subscales) are selected as inputs of the model. Besides the physiological parameters which are decided intentionally considering a manual ventilated building property, the most influencing three sub- psychological parameters on thermal sensation are also selected in the study. While the physiological parameters are measured via environmental data loggers, the psychological parameters are collected simultaneously by the Profile of Mood States questionnaire. A total of 1159 students are participated to the questionnaire at a university study hall between 15th of August 2021 and 15th of September 2022. The results showed that the novel model predicted Thermal Sensation Vote (TSV) with an accuracy of 0.92 of R2. The output of this study may help to develop an integrated Heating Ventilating and Air Conditioning (HVAC) system with Artificial Intelligence - enabled Emulators that also includes psychological parameters.Article Citation - WoS: 2Citation - Scopus: 4A Team-Oriented Course Development Experience in Distance Education for Multidisciplinary Engineering Design(Wiley, 2022) Say, Bilge; Erden, Zühal; Erden, Zuhal; Turhan, Cihan; Turhan, Cihan; Say, Bilge; Erden, Zühal; Turhan, Cihan; Say, Bilge; Energy Systems Engineering; Mechatronics Engineering; Software Engineering; Software Engineering; Mechatronics Engineering; Energy Systems Engineering; Mechatronics Engineering; Software EngineeringBased on the multidisciplinary needs of today's complex and innovative technology, accreditation bodies of engineering demand proof of multidisciplinary teamwork in undergraduate engineering curricula. This article reports the design and conduct of a Multidisciplinary Engineering Design (MED) course initiated as a result of accreditation process requirements. The course, which consists of multidisciplinary lectures, practice sessions, and various phases of a multidisciplinary team project, was conducted online because of the COVID-19 pandemic by a multidisciplinary team of instructors using multiple software tools to enhance collaboration. In general, the course outcomes were satisfied under the current design, and several points for further improvement and elaboration were collected via quantitative and qualitative evaluations. Accordingly, the results show that the project-based and team-based MED course, in terms of multidisciplinary course management and its outcomes, can benefit from the use of software tools in creating a multidisciplinary team in distance education by means of enhanced cooperation and motivation among the participants.Master Thesis Bir Eğitim Binasının Termal Konfor İncelenmesi ve Güçlendirilmesi Stratejileri(2022) Rashıd, Sanarya Ghazı Rashıd; Turhan, Cihan; Energy Systems EngineeringBinaların, küresel sürdürülebilir kalkınma açısından en büyük enerji tüketicilerinden biri olduğu bilinmektedir. Teknolojik gelişmeler çevre dostu binaların inşasına aktif olarak yardımcı olsa da, mevcut binalar da önemli miktarda enerji tüketiyor. En önemli yapı türlerinden biri de inceleyeceğimiz eğitimdir. Gelecek nesillere kaliteli bir eğitim verebilmek için kaliteli okul yapılarına sahip olunması gerekmektedir. Binayı birçok faktör etkilerken, ısıl konfor öğrencileri etkileyen en etkili faktördür. Termal konfor, bir insanın termal çevresi ile olan zevkini ifade eder. Hoş bir termal ortam, fiziksel ve zihinsel sağlığı destekler. Bu çalışma, bu faktörü dikkate almakta ve tasarımı yeniden inşa etmeden farklı iyileştirmeler ekleyerek eğitim binalarında ısıl konforu iyileştirme potansiyelini incelemeye çalışmaktadır. Halihazırda mevcut bir binanın analiz modeli Atılım Üniversitesi, Ankara Design Builder yazılımı kullanılarak yapılmıştır. İlk olarak orijinal kasa binası üzerinde simülasyon yapılmıştır. Daha sonra binanın modifiye edilmiş kasaları üzerinde, toplamda yedi kasa simülasyonu yapılmıştır. pencere ve çerçeve tiplerini değiştirmeyi, bir Trombe duvarı eklemeyi içerir. Yalıtım malzemesinin her seferinde üç farklı malzeme ile değiştirilmesi, güneş kollektörü eklenmesi, ayarlanan sıcaklık ve hava sızdırmazlığının değiştirilmesi ve ışık sistemlerinin led tipine dönüştürülmesi. Model, yıllık enerji tüketimi için simüle edilmiş ve sonuçlar kaydedilmiştir Bu, ilk vi güçlendirme senaryosu seçeneğiydi. Bina yöneliminin revizyonunu dikkate alan teorik bir yeniden tasarım senaryosu da oluşturuldu. Vakalar arasında karşılaştırmalı bir analiz yapılmış ve çalışma, hava sızdırmazlığının hiçbir vakadan etkilenmediğini, öğrenci ısıl konforu için en etkili durumun ise öğrenci rahatsızlık saatlerini %17 azaltan Taşyünü yalıtım malzemesi uygulaması olduğunu göstermiştir. CO2 emisyonlarını azaltmak ve enerji tüketimini azaltmak için en etkili olurken, hava sızdırmazlığı hiçbir durumdan etkilenmedi. ve güneş kollektörü uygulamak en pahalı durumdu.Conference Object Citation - WoS: 1Citation - Scopus: 2Hardware-In Assessment of a Fault Tolerant Fuzzy Control Scheme for an Offshore Wind Farm Simulator(Elsevier, 2022) Simani, Silvio; Farsoni, Saverio; Turhan, Cihan; Energy Systems EngineeringTo enhance both the safety and the efficiency of offshore wind park systems, faults must be accommodated in their earlier occurrence, in order to avoid costly unplanned maintenance. Therefore, this paper aims at implementing a fault tolerant control strategy by means of a data-driven approach relying on fuzzy logic. In particular, fuzzy modelling is considered here as it enables to approximate unknown nonlinear relations, while managing uncertain measurements and disturbance. On the other hand, the model of the fuzzy controller is directly estimated from the input-output signals acquired from the wind farm system, with fault tolerant capabilities. In general, the use of purely nonlinear relations and analytic methods would require more complex design tools. The design is therefore enhanced by the use of fuzzy model prototypes obtained via a data-driven approach, thus representing the key point if real-time solutions have to implement the proposed fault tolerant control strategy. Finally, a high-fidelity simulator relying on a hardware-in-the-loop tool is exploited to verify and validate the reliability and robustness characteristics of the developed methodology also for on-line and more realistic implementations. Copyright (C) 2022 The Authors.Article Citation - Scopus: 1Determination of Metabolic Rate From Physical Measurements of Heart Rate, Mean Skin Temperature and Carbon Dioxide Variation(Sakarya University, 2022) Özbey, M.F.; Çeter, A.E.; Turhan, C.; Energy Systems Engineering; Mechanical Engineering; Software EngineeringThermal comfort depends on four environmental parameters such as air temperature, mean radiant temperature, air velocity and relative humidity and two personal parameters, including clothing insulation and metabolic rate. Environmental parameters can be measured via objective sensors. However, personal parameters can be merely estimated in most of the studies. Metabolic rate is one of the problematic personal parameters that affect the accuracy of thermal comfort models. International thermal comfort standards still use a conventional metabolic rate table which is tabulated according to different activity tasks. On the other hand, ISO 8996 underestimates metabolic rates, especially when the time of activity level is short and rest time is long. To this aim, this paper aims to determine metabolic rates from physical measurements of heart rate, mean skin temperature and carbon dioxide variation by means of nineteen sample activities. 21 male and 17 female subjects with different body mass indices, sex and age are used in the study. The occupants are subjected to different activity tasks while heart rate, skin temperature and carbon dioxide variation are measured via objective sensors. The results show that the metabolic rate can be estimated with a multivariable non-linear regression equation with high accuracy of 0.97. © 2022, Sakarya University. All rights reserved.Article Citation - WoS: 18Citation - Scopus: 19Sensitivity Analysis of the Effect of Current Mood States on the Thermal Sensation in Educational Buildings(Wiley-hindawi, 2022) Ozbey, Mehmet Furkan; Ceter, Aydin Ege; Orfioglu, Sevval; Alkan, Nese; Turhan, Cihan; Energy Systems Engineering; Mechanical Engineering; Department of PsychologyAdaptive thermal comfort is a model which considers behavioral and psychological adjustments apart from Fanger's Predicted Mean Vote (PMV)/Percentage of Dissatisfied (PPD) method. In the literature, the differences between the PMV/PPD method and adaptive thermal comfort were mainly considered in aspects of behavioral adjustments in an environment. Conversely, limited studies related to psychological adjustments were considered in detail for thermal comfort. This study purposes to investigate the effects of current mood state subscales on thermal sensation of the occupants for the first time in the literature. To this aim, the Profile of Mood States (POMS) questionnaire is used to determine the mood state of the occupants with six different subscales: Anger, Confusion, Vigor, Tension, Depression, and Fatigue. The experiments were conducted in a university study hall in Ankara, Turkey, which is in warm-summer Mediterranean climate (Csb) according to Koppen-Geiger Climate Classification. The distributions of each subscale were examined via Anderson Darling and Shapiro-Wilk tests accordingly given responses from the occupants. The sensitivity analysis was applied to the six subscales of the POMS with Monte Carlo simulation method by considering the distributions of each subscale. The results revealed that the current mood state has a crucial effect on the thermal sensation of the occupants. The subscales of the Depression and Vigor were found as the most vital ones among the six subscales. Only the pure effects of the Vigor and Depression would change the thermal sensation of the occupants 0.31 and 0.30, respectively. The Confusion was determined as the least effective subscale to the thermal sensation of the occupants. Moreover, with the combination of all the six subscales, the thermal sensation might change up to 1.32. Findings in this study would help researchers to develop the personalized thermal comfort systems.Article Citation - WoS: 15Citation - Scopus: 18A Novel Comfort Temperature Determination Model Based on Psychology of the Participants for Educational Buildings in a Temperate Climate Zone(Elsevier, 2023) Ozbey, Mehmet Furkan; Turhan, Cihan; Energy Systems Engineering; Mechanical EngineeringMaintaining thermal comfort in the educational buildings is vital due to the impacts on learning effectiveness of students. Therefore, development of a proper comfort temperature in educational buildings is a must. In naturally ventilated and mixed-mode buildings, the adaptive thermal comfort model, which considers additively psychological, and behavioural factors to the Fanger's PMV/PPD model, is commonly applied based on regression analyses. However, the psychological adjustments based on current mood state are very limited in these adaptive thermal comfort models. Therefore, this study focuses on the psychological adjustments in terms of Profile of Mood States in order to predict comfort temperature of students in a case building. The experiments are conducted in a university on a temperate climate zone for a long period-data including both heating and cooling seasons. In this study, the comfort temperatures for each student are determined via Griffith method for the case building. Moreover, the current mood states of students are assessed utilizing the Profile of Mood States survey, which are collected via a developed mobile application. As a conclusion, the relation between the current mood state of the students and comfort temperature are statistically investigated. The results show that a Griffith constant are found as 0.332/K and mean annual comfort temperature is found as 21.32 degrees C in the case building. Additionally, a significant difference is found in the comfort temperatures among the students who have more, or fewer concerns than typically reported. The novelty of the study is to present a comfort temperature determination model which considers human psychology as a starter study in the literature.Article Recycling Decommissioned Wind Turbine Blades for Post-Disaster Housing Applications(Mdpi, 2025) Turhan, Cihan; Durak, Murat; Saleh, Yousif Abed Saleh; Kalayci, Alper; Energy Systems EngineeringThe growing adoption of wind energy has resulted in an increasing number of decommissioned wind turbine blades, which pose significant disposal challenges due to their size, material composition, and environmental impact. Recycling these blades has thus become essential. To this aim, this study explores the potential of using recycled wind turbine blades in post-disaster housing applications and examines the feasibility of re-purposing these durable composite materials to create robust, cost-effective, and sustainable building solutions for emergency housing. A case study of a post-earthquake relief camp in Hatay, T & uuml;rkiye, affected by the 2023 earthquake, is used for analysis. First, the energy consumption of thirty traditional modular container-based post-disaster housing units is simulated with a dynamic building simulation tool. Then, the study introduces novel wind turbine blade-based housing (WTB-bH) designs developed using the same simulation tool. The energy consumption of these (WTB-bH) units is compared to that of traditional containers. The results indicate that using recycled wind turbine blades for housing not only contributes to waste reduction but also achieves 27.3% energy savings compared to conventional methods. The novelty of this study is in demonstrating the potential of recycled wind turbine blades to offer durable and resilient housing solutions in post-disaster situations and to advocate for integrating this recycling method into disaster recovery frameworks, highlighting its ability to enhance sustainability and resource efficiency in construction. Overall, the output of this study may help to present a compelling case for the innovative reuse of decommissioned wind turbine blades, providing an eco-friendly alternative to traditional waste disposal methods while addressing critical needs in post-disaster scenarios.
