Investigation of a pure hydrogen fueled gas turbine burner

Cappelletti, Alessandro; Martelli, Francesco

doi:10.1016/j.ijhydene.2017.02.104

Cited by 89 publications

(29 citation statements)

References 54 publications

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“…78 On the other hand, research into H2 combustion for power generation has predominantly focused on integrated gas combined cycles (IGCCs), which run on syngas (mixture of H2 and CO) rather than pure H2. 79,80 The Fusina power station (Italy) is the first demonstration-scale pure hydrogen-fired gas turbine combined cycle (HTCC), starting operation in 2010 and is operated by ENEL. This plant has an output capacity of 16 MW and the project costed 53 M EUR2017.…”

Section: Combustion Of Stored Gas To Produce Powermentioning

confidence: 99%

Grid-scale energy storage with net-zero emissions: comparing the options

Yao

Bui

Dowell

2019

Sustainable Energy Fuels

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Section: Combustion Of Stored Gas To Produce Powermentioning

confidence: 99%

Grid-scale energy storage with net-zero emissions: comparing the options

Yao

Bui

Dowell

2019

Sustainable Energy Fuels

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“…Due to high NOx output of hydrogen combustion systems, hydrogen is not a preferred energy source in burners. However, Cappelletti et al [5] published a paper on a gas turbine burner using hydrogen as fuel. According to the results, they confirmed the possibility to use hydrogen in such systems.…”

Section: Cellek Et Almentioning

confidence: 99%

Effects of Different Applications and Designs on Emission Reduction in a Gas Burner

Yangaz

Çiftçioğlu

Kadırgan

2018

Marmara Fen Bilimleri Dergisi

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Verimsiz enerji kullanımı, kaynakların hızla tükenmesinin ve aynı zamanda tam yanmanın gerçekleşmediğine işaret edebilecek, yüksek orandaki emisyonlara bağlı küresel ısınmanın ana nedenlerinden biridir. Genel olarak, toplu sistemler ya da büyük ölçekli sistemler yukarda belirtilen problemlerin en büyük pay sahibidirler. Endüstriyel yakıcılar metal şekillendirme sanayisinde ve büyük ölçekli elektrik üretim süreçlerinde yaygın bir şekilde kullanılmaktadır. Bu alanlarda, hem karbon hem de azot bazlı emisyonlar için katı kurallar vardır. Buradan yola çıkarak, bu çalışma, çevresel kirleticilerin minimize edilmesi için oksi-yakıt yanması, yanmış gazların iç devirdaimi ya da ön karışımlama gibi konsept ve tasarımları içeren farklı teknikler kullanarak, yanma verimi ve emisyon düşüşü açısından iyileştirme sağlamayı amaçlamaktadır. Bütün sonuçlar birbiriyle karşılaştırılmış ve birçok parametreyi içeren tablolar ile sıcaklık konturları şeklinde verilmiştir. Bazı konseptlerin diğerlerinden performans ve emisyonlar açısından daha etkin olduğu gösterilmiştir.

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“…The growing penetration of renewable energy sources into the grid at a centralized and decentralized level represents a promising step toward a low-carbon society, but brings with it several challenges related to reliability, resiliency, and sustainability [1]. Gas turbines still have an important role in this scenario and are actually considered a key technology to favor a smooth transition; for example, the use of hydrogen or biogas in gas turbine plants is raising much attention [2][3][4]. Gas turbine-based hybrid systems (e.g., solar hybrid [5] and fuel cell hybrid [6]) are also considered promising solutions for increasing efficiency, flexibility, and availability of renewable power generation.…”

Section: Introductionmentioning

confidence: 99%

A Review of Information Fusion Methods for Gas Turbine Diagnostics

et al. 2019

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The correct and early detection of incipient faults or severe degradation phenomena in gas turbine systems is essential for safe and cost-effective operations. A multitude of monitoring and diagnostic systems were developed and tested in the last few decades. The current computational capability of modern digital systems was exploited for both accurate physics-based methods and artificial intelligence or machine learning methods. However, progress is rather limited and none of the methods explored so far seem to be superior to others. One solution to enhance diagnostic systems exploiting the advantages of various techniques is to fuse the information coming from different tools, for example, through statistical methods. Information fusion techniques such as Bayesian networks, fuzzy logic, or probabilistic neural networks can be used to implement a decision support system. This paper presents a comprehensive review of information and decision fusion methods applied to gas turbine diagnostics and the use of probabilistic reasoning to enhance diagnostic accuracy. The different solutions presented in the literature are compared, and major challenges for practical implementation on an industrial gas turbine are discussed. Detecting and isolating faults in a system is a complex problem with many uncertainties, including the integrity of available information. The capability of different information fusion techniques to deal with uncertainty are also compared and discussed. Based on the lessons learned, new perspectives for diagnostics and a decision support system are proposed.

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Investigation of a pure hydrogen fueled gas turbine burner

Cited by 89 publications

References 54 publications

Grid-scale energy storage with net-zero emissions: comparing the options

Grid-scale energy storage with net-zero emissions: comparing the options

Effects of Different Applications and Designs on Emission Reduction in a Gas Burner

A Review of Information Fusion Methods for Gas Turbine Diagnostics

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