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Analysis and Extension of Switched Inductor and Capacitor Based High Gain DC-DC Boost Converter with Flexible Control at Higher Gains
(
Institution of Engineering and Technology
, 2023 , Conference Paper)
Microgrids get the majority of their power from renewable sources such as PV (photovoltaic) and FC (fuel cell). To achieve the desired bus voltage in a DC microgrid, a conventional DC-DC converter used as an interconnecting ...
Assessment of Nodal Inertia Estimation Methods for Future Power Systems: A Comparative Study
(
Institute of Electrical and Electronics Engineers Inc.
, 2024 , Conference Paper)
High penetration of unconventional generators such as renewable energy sources (RES) in the generation system requires special attention during disturbances to maintain grid stability and limit possible frequency deviations. ...
Monitoring of simple linear quality profiles using dEWMA statistic under uncertainty of process deviations
(
IEOM Society
, 2019 , Conference Paper)
The quality of process or product is often characterized by the univariate or multivariate distribution of quality characteristics. The linear profiles are widely used to model the relationship between dependent and ...
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
(
Society of Petroleum Engineers
, 2021 , Conference Paper)
This research aims to identify the best machine learning (ML) classification techniques for classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime identification is crucial for many ...
Development of a Mechanistic and Data-Driven Model for Multiphase Flow Leak Detection in Pipeline
(
International Petroleum Technology Conference (IPTC)
, 2024 , Conference Paper)
Prompt and reliable detection of pipeline leaks is vital for human safety, the economy, the environment, and corporate reputation. However, a simple mechanistic model for accurately predicting leak characteristics in ...
Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models
(
International Petroleum Technology Conference (IPTC)
, 2022 , Conference Paper)
This paper presents a follow-up study to Manikonda et al. (2021), which identified the best machine learning (ML) models for classifying the flow regimes in vertical gas-liquid two-phase flow. This paper replicates their ...
Enhancing Safety in Geological Carbon Sequestration: Supervised Machine Learning for Early Detection and Mitigation of CO2 Leakage in Injection Wells
(
International Petroleum Technology Conference (IPTC)
, 2024 , Conference Paper)
The efficient and safe operation of CO2 injection wells during geological sequestration is crucial for successful carbon capture and storage (CCS) projects. This study explores the application of machine learning in creating ...
Experimental Investigation of Early Leak Detection in Offshore Multiphase Flow Pipelines Using Non-Invasive Electrical Resistance Tomography
(
Society of Petroleum Engineers
, 2024 , Conference Paper)
Prompt and reliable detection of pipeline leaks is vital for human safety, the economy, the environment, and corporate reputation. The objective of the current analysis is to investigate the effectiveness of noninvasive ...
Turbulence modeling using Z-F, RSM, LES and WMLES for flow analysis in Z-Shape ducts
(
American Society of Mechanical Engineers (ASME)
, 2020 , Conference Paper)
Turbulent flow in Z-shape duct configuration is investigated and analyzed using Reynolds Stress Model (RSM), Large Eddy Simulation (LES), ζ-f Model, and Wall-Modeled Large Eddy Simulation (WMLES). The results are validated ...
Dynamic Modeling and Analysis of Solar Industrial Process Heating (SIPH) for the Food industry
(
Scanditale AB
, 2024 , Conference Paper)
Thermal energy requirements in the industrial sector for different process heating applications consume about 35% of the total global fossil fuels. To mitigate the consumption of fossil fuels, solar industrial process ...