Krishna Krishnakannan

Department of Sustainable Energy Engineering, IIT Kanpur invites applications from prospective faculty applicants having proven track record in experimental and/or modeling background and expertise in materials, processes, and systems related to the following priority areas: 1.     Fuel cells, Wind Energy, Nuclear Energy, and Hydrogen Energy. 2.     Hydrogen storage, Thermal storage and Batteries. 3.     CO2 Capture, Utilization, Sequestration and Storage, Waste to Energy.  4.     Energy Systems Integration: Smart grid and Microgrid, Electric vehicles, Power distribution and transmission, Power system protection, Control systems, Power electronics applications, Energy efficiency of appliances and systems, Thermal energy systems. 5.     Energy modeling, Energy policy, Circular economy, Decarbonization. 6.     Energy efficiency, net-zero and smart buildings. Candidates with an excellent track record in any other exciting futuristic areas of Energy Sustainability that are not listed above may also be considered. Apply online: https://lnkd.in/g67nDdnH. #energy #recruitement #facultypositions #energyengineering #Energysustainability #sustainableenergy Department of Sustainable Energy Engineering, IIT Kanpur Kesavan Center, Energy Policy

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New article is published today. The article provides an insight of mobile ions' impact on FaSnI3 based PSC performance . One can go through if found suitable. https://lnkd.in/dbwp6sR2

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Our article titled "Design and Analysis of Hydrogen Storage Tank with Different Materials by Ansys" has reached a milestone of #6000 reads on ResearchGate! |#researchpaper |#springernature |#elsevier | #webofscience |#training |#scientificpublication |#publications |#peerreview |#research |#scientificresearch  |#scientificwriting |#scientificpaper |#scientificcommunication |#peerreview |#webofscience  |#publication  |#publishing |#writing  |#journal  |#education |#learning  |#journal |#publisher |#peerreviewed |#drcbibin |#journals |#WoS  |#editing

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Hydrogen Fuel Cells 1.   Whether ALL the production methods, associated with hydrogen fuel cells, focus ‘only’ on developing renewable energy sources (solar/wind) for hydrogen production; and no more rely on fossil fuels? If so, whether, the produced electricity from renewable energy sources would remain as a constant, given the random appearance of wind (and sometimes solar as well)? Whether the type of energy source used; and the daily weather conditions would play a crucial role in dictating the cost and efficiency? If so, whether, low-temperature electrolyzers (PEM) would remain to be efficient, although, it requires only an electric DC source for water decomposition, given the fact that the electrolyzers consume a significant amount of electricity as an input, on top of the equipment cost? Whether the elevated costs associated with the polymer exchange membrane, noble metal electro-catalysts and the elevated over-potentials for water-splitting will be taken care by PEM water-electrolyzer? 2.   How about the production process of hydrogen fuel cell itself? What does it emit? 3.   On top of hydrogen-storage remaining associated with an inherent loss of energy, irrespective of, whether it is stored as a gas or as a liquid, how easy would it remain to build a plant onsite to generate hydrogen gas that avoids corrosion of metals? 4.   Whether hydrogen fuel cells will be able to keep a constant voltage level during the whole discharge cycle; and in turn, would it maintain consistent performance until they require recharging? 5.   For hydrogen fuel cells, is there an alternative technique than steam methane reforming that require a large quantum of water towards mass production? 6.   How about the required space for storage tanks and electrolyzers? And, won’t it impact agricultural activities? 7.   Is there an advanced technology for the hydrogen fuel cells that could be built in the absence of requiring rare materials that elevate its costs than IC Engines or battery-powered electric cars? 8.   Does the safe storage of hydrogen involve an elevated cost as well as increased space requirement (as it requires high-pressure tanks or cryogenic systems)? 9.   Whether transportation of hydrogen is going to be very challenging (hydrogen leakage rate should be the least) and costly with the energy density of hydrogen per unit volume being relatively low (requiring a large storage volume for the same energy)? 10.                      How about hydrogen refueling infrastructure? Suresh Kumar Govindarajan https://lnkd.in/d6rtS6Ue https://lnkd.in/d_miY7ZU

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I am delighted to announce that one of my research works, carried out under the esteemed guidance of Prof. STP Srinivas and Prof. Alivelu Manga Parimi, and in collaboration with distinguished experts J. Ankamma Rao and ZELIE, has been successfully published in IEEE Access. This research makes significant contributions to the field of power system protection by addressing Optimal Zone II Settings for Distance Relays in Coordination with Directional Overcurrent Relays. The approach taken is deterministic in nature, utilizing Quadratic Programming (QP) to determine the optimal relay settings, thereby ensuring a global minimum solution. This breakthrough is particularly relevant to protection engineers, especially those involved in Research and Development, as it provides a highly efficient and reliable method for enhancing relay coordination. The insights and methodologies presented in this paper are expected to advance the design and operational strategies of modern power protection systems, ensuring better performance and fault management. I believe it will be of great interest to professionals and researchers working in this specialized domain.

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Our article "Design and Optimization of a Domestic Solar Dryer: An Analytical Approach" has been published in Engineering Computations from Emerald. Thanks to my supervisors Dr. Mahesh Kumar and Dr. Anil Kumar. You can read the full text at: https://lnkd.in/deK5k_xV #GJU #Emerald #ResearchPaper

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New work during this prime hours of polluted environment in Delhi, which gives some hope. Mitigation strategy proposed in Journal of Environmental Chemical Engineering by PhD student Debabrat Biswal. You can access this at https://lnkd.in/gTg_7MxT

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Delighted to share that our Research paper published online- "An extensive analysis of GTAW process and its influence on the microstructure and mechanical properties of SDSS 2507", in Reputed Journal-: Journal of Materials Research and Technology, Elsevier (IF-6.2, Q1). Link🔗-https://lnkd.in/gRY8V5K7 RESEARCH#PAPER#UCER#PRAYAGRAJ#CORROSION#

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Learn the practical implementation of robotics in real life scenarios. The most unique course for Industrial Robotics. - Covered the practical aspects - Become industry ready Last date is near (5th August 2024) Enroll soon!!

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The Transformative Power of Sensors and Semiconductor Device Fabrication: A New Opportunity at Indian Institute of Science (IISc) in collaboration with TalentSprint. PG-level Advanced Certification Programme in Sensor Technology. The world around us is becoming increasingly interconnected. From the fitness trackers on our wrists to the self-driving cars of tomorrow, sensors are silently revolutionizing industries and shaping our daily lives. Additionally, at the heart of microengineering technologies lies semiconductor chip fabrication. The way forward is to learn the fabrication process for sensors and semiconductor devices. As highlighted by a recent article in The Times of India (https://lnkd.in/gpV5zfpa), the global sensor technology market is expected to reach a staggering $345.77 billion by 2028. This explosive growth signifies a critical need for skilled professionals who can design, develop, and implement these transformative technologies. Here at IISc, we're excited to offer a groundbreaking solution: our new PG-level Advanced Certification Programme in Sensor Technology focuses on the design, simulation, and fabrication of sensors & semiconductor devices, electronic systems (schematics, PCB layouts, fabrication), COMSOL Multiphysics, and additive manufacturing. This intensive 180-hour program provides a comprehensive and practical learning experience (Hands-on experience on sensor/semiconductor device fabrication tools and techniques in World Class 1000/10000 cleanroom facilities). Through interactive sessions, hands-on exercises, real-world case studies, and industry-specific modules, the participants would gain the knowledge and skills to thrive in this dynamic field. What sets this program apart? Immersive Learning: Experience 165 hours of live interactive sessions led by our esteemed faculty. LIVE Interactive Sessions by distinguished IISc, IIT, and IIIT faculty members. Practical Application: Participate in a 15-hour capstone project, applying your knowledge to solve real-world challenges. Campus Immersion: Gain firsthand experience with cutting-edge sensor and semiconductor device technology during an eight-day visit to the IISc campus. Hands-on Training: Develop practical skills through workshops and training in sensor fabrication, sensor interfacing, and COMSOL simulations classes. This program provides a unique opportunity to learn from leading experts, collaborate with peers, and gain the skills necessary to become a leader in sensor and device fabrication technology. Are you ready to be a part of the future? Learn more about the program and apply today. Limited Seats (Maximum 70 Participants). https://bit.ly/3xo8VVS #IISc #SensorTechnology #SemiconductorDevicesFabrication #FutureofTechnology #Upskilling #Opportunities #ElectronicSystems #AdditiveManufacturing #Simulations #NANOFab

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Big Foot Steps to follow

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Published a Review Article in International Journal of Hydrogen Energy, Elsevier journal (Q1, Impact factor : 8.1) Link: https://lnkd.in/g8rjqgnz #mit #manipal #mahe #ece #hydrogen #h2

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Last Saturday, I submitted my Ph D Thesis titled " Analysis of Jet Fire Morphology and Development of an AI Model for the Prediction of Radiant Heat Flux". My research supervisor is Dr. Gireesh Kumaran Thampi, Mechanical Engineering, SoE, CUSAT. The thesis explores the morphological features of jet fires and factors influencing them such as the ambient pressure, crack shape and angle of release. I have also proposed an image segmentation model to compute view factors from complex flame morphologies such that the radiant heat flux predictions can be made using the solid flame model. A CNN regression model is developed for plotting threat zones based on the flame images. Two full length articles and one patent were published as part of this work.

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Last Saturday, I submitted my Ph D Thesis titled " Analysis of Jet Fire Morphology and Development of an AI Model for the Prediction of Radiant Heat Flux". My research supervisor is Dr. Gireesh Kumaran Thampi, Mechanical Engineering, SoE, CUSAT. The thesis explores the morphological features of jet fires and factors influencing them such as the ambient pressure, crack shape and angle of release. I have also proposed an image segmentation model to compute view factors from complex flame morphologies such that the radiant heat flux predictions can be made using the solid flame model. A CNN regression model is developed for plotting threat zones based on the flame images. Two full length articles and one patent were published as part of this work.

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I am pleased to share our recent research on development of Indian Emission Inventory entitled “Quantification and spatial analysis of gridded (0.1◦ × 0.1◦) emission of indirect GHGs/Air pollutants from anthropogenic sources in India” published in the "Environmental Pollution". Significant findings and takeaway: Indirect greenhouse gases (GHGs) play a key role in modulating both regional and global atmospheric chemistry and act as air pollutants that degrade air quality. The rising number of premature deaths and notable health hazards could be linked to increasing concentration of these air pollutants in the atmosphere. As a developing nation, India is often regarded as one of the most polluting countries due to increasing anthropogenic activities. Therefore, identifying the sources of these indirect GHGs gases such as CO, NOx, VOC and SO2 and quantifying their emissions has become a critical requirement for understanding regional atmospheric chemistry. In this study, we developed a comprehensive, technology-driven gridded emission inventory for India at a high resolution (0.1◦×0.1◦) for the base year 2020. Using the IPCC bottom-up approach, the study estimated the total emissions of CO (45 Tg/yr), NOx (22.8 Tg/yr), VOC (10.8 Tg/yr) and SO2 (15.1 Tg/yr) from all the dominating sources. Vehicle exhaust contributes the most NOx and VOC whereas the residential and power sectors are the highest emitters of CO and SO2, respectively. This newly reported surface emission data would be an essential tool for policymakers in formulating mitigation strategies and will serve as a vital input for atmospheric chemistry and climate studies. In addition to this, the present dataset could be an important tool for policy makers and air quality/climate study. (For more information about our group research activities and data repository, do visit our webpage: www.aeimsksahu.com) URL for 50 days free access to the article: https://lnkd.in/gFhUBnAu

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Enhanced Oil Recovery (IFT) Since, surface tension results in a microscopic, localized surface force that exerts itself on oil-brine elements at interfaces in both the normal and tangential directions, would it remain feasible to deduce the oil-brine interfacial motion induced by surface tension @ laboratory-scale (core samples pertaining to an oil reservoir with a significant residual oil saturation at the end of water-flooding), given the fact that the normal stress boundary condition can be satisfied at the interface between oil and brine, only when, they are at rest (surface tension manifests itself in the normal direction as a force that drives fluid surfaces towards a minimal energy state characterized by a configuration of minimum surface area; and that spatial variations in the surface tension coefficient along the interface cause fluid to flow from regions of lower to higher surface tension); while, the tangential stress boundary condition can be satisfied at the interface between oil and brine, only when, they are in motion? Suresh Kumar Govindarajan https://lnkd.in/d_miY7ZU 22-Nov-2024

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Properties of Materials (Nature and Properties of Materials : III) NPTEL scored Elite

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Exciting Update from the Faculty of Mechanical Engineering at Rajagiri School of Engineering and Technology! We have successfully completed MATLAB training by MathWorks India Pvt. Ltd. This comprehensive training was aligned with the new curriculum of Mechanical Engineering. During the sessions, we explored the incredible potential of Symbolic Math Toolbox and Simulink in teaching essential subjects like Solid Mechanics and Thermodynamics, and much more. These tools are set to revolutionize our teaching methodologies and enhance the learning experience for our students. A special thank you to our trainer,Souvick Chatterjee, for his insightful guidance and expertise. We are eagerly looking forward to further sessions on dynamic simulation and other advanced courses. #MechanicalEngineering #MATLAB #MathWorks #RajagiriSchoolOfEngineeringAndTechnology #EngineeringEducation #Simulink #ContinuousLearning

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A significant shortcoming of Homogeneous charge compression ignition (HCCI) engines is a narrow operating regime, especially with high-reactivity fuels like biodiesel. Unlike conventional diesel combustion, completely premixed HCCI engines lack control over ignition timing, leading to a narrow operating regime. Additionally, the compositional variability of biodiesels, reflected in cetane number variations based on different source feedstocks, poses another challenge. Our study, published in the International Journal of Engine Research, comprehensively investigates the interplay of biodiesel composition, cetane number, engine compression ratio, and charge dilution for extending the operating envelope of a light-duty HCCI engine. Given the impracticality of controlling multiple variables experimentally, this work focuses on the potential of machine learning (ML) algorithms to predict the operational limits of an HCCI engine using neat biodiesels derived from diverse sources. Among the ML models explored Support Vector Machine models predicted the achievable HCCI operating regime with errors below 5%. This study highlights the novelty and practicality of using ML to predict and extend the operating envelope of biodiesel-fueled HCCI engines, demonstrating their suitability for future applications.

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