Advanced Research on Clean Energy Combustion Diagnosis

Dear Colleagues, 

We would like to invite submissions to this Special Issue on Advanced Research on Clean Energy Combustion Diagnosis. 

Due to the background of carbon reduction, clean energy combustion has become a popular and valuable combustion technology, and it is necessary to implement real-time, multidimensional, and multiparameter diagnosis of the clean energy combustion process (flame). Diagnosis is an effective tool that helps us to understand the combustion process, collects original data to develop fuel mechanisms and numerical models, and provides quantitative guidance for improving combustion efficiency and reducing pollutant emissions. With the development of software and hardware, many novel combustion diagnostic techniques have emerged to obtain the speed, temperature, and component concentration distribution of the combustion device, which promote the digitization and intelligence of clean energy combustion. From this perspective, we are committed to facilitating the communication of high-quality studies in this field. 

The topic includes but is not limited to:

• Clean energy combustion diagnosis and its application;
• Measurement of speed, temperature, and component concentration distribution;
• Novel combustion diagnosis technology;
• Diagnosis algorithm (including machine learning);
• Software and hardware development;
• Economy and safety related to diagnostic technology. 

Prof. Dr. Chun Lou
Dr. Weijie Yan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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