1,721,031 research outputs found
Assessment of conventional and enhanced exergy analysis of the natural gas liquefaction plant
No full textThe liquefaction method has become increasingly important in the natural gas trade as a result of both the cost and application difficulties associated with pipe transfer. In this study, enhanced exergy analysis of the cryogenic method used in the liquefaction of natural gas is discussed. When each component is examined, the highest exergy destruction was obtained in the turbine as 1,164 kW. The exergy efficiency of the overall system was calculated as 52.52%. In this study, the most significant consequence of exergy destruction n the turbine was discovered to be caused by unavoidable exergy destruction
Assessment of carbon trading within blockchain and subfield of artificial intelligence: a review
No full textHow can blockchain and AI revolutionise carbon trading? This article explores this question by reviewing the literature on blockchain's potential to create smart contracts for carbon trading. It also illustrates step-by-step guidance to write a smart contract that covers the essential aspects of the market. It is suggested that blockchain technology can address some shortcomings of the current system while usage of the data provided by ML makes contract actually smart
Energy and exergy analysis of waste heat and solar energy assisted for hydrogen production system: A case study
No full textIn the presented study, the focus is on the exergy efficiency of a textile factory that has the potential to optimize itself using solar energy and waste heat. Two distinct scenarios are considered in this study. In Scenario 1 (S-1), the whole system components operate solely for hydrogen production, while in Scenario 2 (S-2), the whole system components are utilized for both electricity, heat water and hydrogen production. For the harnessing waste heat, a 25 kW capacity Organic Rankine Cycle (ORC) system, 20 evacuated tube solar collectors (ETSC) for solar energy utilization, and a water electrolyzer for hydrogen production are employed. As a result of the thermodynamic analysis of the whole system, the energy and exergy efficiency is calculated as 5.17 %, 2.63% and 39.32%, 21.74%, respectively, according to the S-1 and S-2 scenarios. Furthermore, considering S-1 and S-2 conditions, hydrogen production amounts to 5197 kg/annual and 2209 kg/annual, respectively
Exergy and economic approaches for integrating power and green hydrogen production with a novel solar-ORC system
No full textIn this study, a hydrogen production system integrated with a solar-organic Rankine cycle (S-ORC) system is examined. Experimental studies on the generation of electrical energy at low temperatures are relatively limited in the literature, as low temperatures are typically preferred for thermal energy production in domestic applications. This study presents experimental results regarding the use of different working fluids in the ORC system. A evacuated tube heat pipe solar collector (ETHPSC) was employed to harness solar energy. The thermal energy obtained from the collector was utilized in the integrated ORC system. Various fluids were comparatively analyzed within the S-ORC system. The net energy produced by the ORC system was entirely used for hydrogen production in an electrolyser. The results indicate that the exergy efficiencies of the entire system for hydrogen production were calculated as 6.67 %, 7.13 %, 9.56 %, and 7.59 % when using R134a, R1234yf, R410a, and R32 as working fluids in the ORC system, respectively. Furthermore, at higher collector outlet temperatures, the lowest hydrogen production cost of $0.9793/kg was achieved when R1234yf was used as the working fluid
Ensemble-based classification algorithm to enhance stability of energy management in IoT-based smart grid networks
No full textThe exponential increase in electricity consumption makes renewable energy management a necessity within the global warming context. Internet of things (IoT) has a key role in effective data transmission for better managing of energy dissipation in smart grids. Since smart grid network deployment involves huge complexities due to the large data volume being generated, applying artificial intelligent methods is essential to better manage the process. Moreover, reducing energy consumption in a stable smart grid system and fault detection are important in managing electricity congestions, power failure and grid stability problems. This paper aims to present a novel prediction architecture involving ensemble bagging trees and analysis of variance (ANOVA) as a feature selection strategy to improve stability of energy consumption and maximise prediction factors such as accuracy, precision, recall and F1-score in IoT-based smart grids. Experimental and simulation results show that the proposed architecture can decrease training time and improve accuracy of prediction with 99.999% on validation (training) data and 100% on test data than other state-of-the-are machine learning mechanisms
Ensemble-based classification algorithm to enhance stability of energy management in IoT-based smart grid networks
No full textThe exponential increase in electricity consumption makes renewable energy management a necessity within the global warming context. Internet of things (IoT) has a key role in effective data transmission for better managing of energy dissipation in smart grids. Since smart grid network deployment involves huge complexities due to the large data volume being generated, applying artificial intelligent methods is essential to better manage the process. Moreover, reducing energy consumption in a stable smart grid system and fault detection are important in managing electricity congestions, power failure and grid stability problems. This paper aims to present a novel prediction architecture involving ensemble bagging trees and analysis of variance (ANOVA) as a feature selection strategy to improve stability of energy consumption and maximise prediction factors such as accuracy, precision, recall and F1-score in IoT-based smart grids. Experimental and simulation results show that the proposed architecture can decrease training time and improve accuracy of prediction with 99.999% on validation (training) data and 100% on test data than other state-of-the-are machine learning mechanisms
Thermodynamic analysis of an evacuated tube solar collector system for industrial building application: A case study
No full textIn this study, a modified solar-Organic Rankine Cycle (ORC) assisted hydrogen production system for two different scenarios was experimentally investigated. In the study, evacuated tube solar collector (ETSC), ORC system, proton exchanger membrane electrolyzer (PEMe) unit is discussed with a holistic perspective. The presented work includes energy and exergy analysis of solar-ORC assisted hydrogen production. According to scenario 1 (S-1), only the case of hydrogen production from the installed system is considered. According to Scenario 2 (S-2), the both electrical energy and hydrogen production from the installed system is examined. As a result of the study, the energy efficiency in S-1 and S-2 operating modes was calculated as 9.553% and 16.02%, respectively. Additionally, the highest exergy efficiency for both scenarios was calculated as 6.129% in the S-2 scenario. Furthermore, hydrogen production amount of the S-1 and S-2 scenarios was calculated as 743.1 kg/ annual and 371.5 kg/annual, respectively
15th International EXERGY, ENERGY AND ENVIRONMENT SYMPOSIUM (IEEES-15)
Full text linkThis study focuses on the recovery of industrial waste heat. In natural gas compression facilities, the
compression work required for the compressor is supplied by the electrical work generated from the
turbine, which operates using the combustion of natural gas. An Organic Rankine Cycle (ORC) system
has been integrated to utilize waste heat. High-temperature ORC systems differ from conventional ORC
systems in both the electricity generated and the working fluid used. To utilize the waste heat at a
temperature of approximately 530°C, Cyclopentane has been selected as the working fluid in the ORC
system. This study presents a practical example of high-temperature waste heat recovery through a case
study
Alternative energy sources of Turkey and research of boron?s industrial usege fields
Full text linkFen Bilimleri Enstitüsü, Endüstri Mühendisliği Ana Bilim DalıBu çalısmada enerji ve enerji kaynakları üzerinde durulmustur. Dünyada veTürkiye'deki enerji kaynaklarının rezervleri üretim ve tüketim durumları ele alınmıstır. Petrol,dogal gaz ve kömür incelenmis, bu kaynakların ne kadar ömrünün kaldıgı arastırılmıstır.Yapılan çalısmanın neticesinde elde edilen sonuç; ülkelerin yenilebilir enerji kaynaklarınayönelmesi gerektigidir.Bu çalısmada Türkiye'nin enerji envanteri çıkarılmıstır. Gelecekte en önemli enerjikaynagı olacak ?bor? madeninin ülkemizde rezervlerinin fazla oldugu görülmüstür. Bumadenden çok daha fazla faydalanılabilinecegi saptanmıstır. Bu nedenle ileriki yıllarda bormadeni ile ilgili çalısmalara önem verilmesi gerekmektedir.Türkiye'nin jeostratejik konumunun enerji kaynakları potansiyeli ile birliktedegerlendirilmesiyle ulasılan sonuçların, Türkiye'nin enerjide dısa bagımlılıgını önlemesineve bu sayede ekonomik ve sosyal kalkınmasına, savunma imkân ve kabiliyetlerini daha dagelistirerek bölgesel gücünü pekistirmesine ve ulu önder Atatürk'ün gösterdigi çagdasuygarlık seviyesi hedefine ulasılması yönündeki çabalara enerji alanında alınabilecek tedbirlerçerçevesinde katkı saglayıcı bir fikir verebilecegi degerlendirilmektedirAnahtar Kelimeler: Alternatif, enerji, bor, stratejikIn this thesis, we have examined energy and energy resources. We have dealt withreserve, production and consumption of energy resources. Petroleum, natural gas and coalhas been examined in detail and we have tried to determine the life of these resources. Atthe end of this work the result is; countries need to consider using ?renewable? energyresources.We have determined the inventory of energy resources in Turkey and noticed thehigh availability of ?Boron metal? which is the most important potential source of energyin the future. So we have also examined that boron metal can be used more effectively.This shows us that we need to make more researches on this metal in the following years.Bearing in mind the geostrategic position and the potential of the energy resources(thus getting independent about this), Turkey can easily improve its economical and socialdevelopment and defence abilities. This will also strengthen its regional power and lead toreach the ?modern civilization target? that Atatürk had shown already.Keywords: Alternative, energy, boron, strategi
Using decision support systems in small and medium sized firms for corporate strategy
Full text linkFen Bilimleri Enstitüsü, Endüstri Mühendisliği Ana Bilim DalıYapılan çalışma, Karar Destek Sistemleri Uygulaması olup Borusan Halkalı fabrikasında uygulanmıştır.Firmalar, çevrelerindeki değişen koşullara göre üretim çizelgelerinde bir takım değişiklikler yapmak zorunda kalırlar. Üretim çizelgelerinde yapılması istenen değişiklik, ya mevcut üretim tesislerinde, üretilmesi için gelen yeni siparişlerden, ya pazar tahminlerine dayalı olarak üretim çeşitliliği isteğinden, ya da mevcut ürün hattında yeni bir ürüne geçiş gibi sebeplerden dolayı meydana gelmektedir. Üretilmesi için gelen siparişlerin tümünün firma içerisinde üretilip üretilmemesinde işletmeninin mevcut kaynakları, malzeme yönetimi ve üretim süreci kapasitesi, ürün mühendisliği, gerekli girdilerin piyasadan alınması ya da firmanın yan sanayisinde üretilmesi şeklinde sıralamak mümkündür. Bunlar imalat yöneticilerine, işletmenin gerekli iş akış şartları altında ve firmanın koyabileceği bir zaman sınırı içerisinde bir değerlendirme yapmaları gereğini ortaya çıkarır. İmalat yöneticilerine, doğru, güvenilir ve hızlı karar vermelerini sağlayacak yardımcılara ihtiyaç duyulmaktadır. Bu talebi karşılamada karar destek sistemleri önemli bir rol üstlenir. Bu amaçla bu çalışma, boru sektöründe faaliyet gösteren bir firmada üretim çizelgesinde yapılacak değişiklikleri değerlendirmede kullanılacak, bilgi tabanlı imalat karar destek sistemi geliştirme konusu üzerinde odaklaşır.Çalışmada ilk olarak KOBİ'ler, KOSGEB ve KDS hakkında genel bilgiler verilmiştir. Uygulama bölümünde ise bir KDS tanıtılmış ve bazı modüller üzerinde çalışılarak, modüllerin çözümlenmesi ve işletmeye uygulanabilirliği üzerinde durulmuştur. Çalışmanın son bölümünde ise elde edilen sonuçlar açıklanmış ve öneriler verilmiştir.The following study is a Decision Support System application which was performed in Borusan Halkalı factory.Companies often need to make alterations in their production plans due to the changing circumstances in their environment. These changes result from factors such as new and excessive orders, market driven need for product various on launching an entirely new product. Production managers should consider a few keys factor while determining an action plan to handle such changes. These key factors are availability of company resources and materials, production capacity, production engineering, supplier availability, market conditions which may lead to make/buy or hybrid decisions. Here, managers are forced to evaluate all these factors considering the conditions and work flow of their company and are expected to make decisions in reasonably short periods of time. Thus, production managers need assistants or facilitators to help them decide quickly and correctly. At this stage, Decision Support Systems play an important role to meet this demand. This study focuses on the development of a knowledge-based decision support system that facilitates the evaluation of production plan alterations and key factors for a pipe component manufacturer.At the first part of the study, general information is given about KOBİ, KOSGEB and DSS. In the application part, one of the DSS is introduced and by reasearching some of the software modules, those modules were recognised and integrated to the firm. Finally, in the last part, the results were explained and suggestions were given
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