Energy Management Systems for Smart Electric Railway Networks: A Methodological Review
Energy shortage is one of the major concerns in today's world. As a consumer of electrical
energy, the electric railway system (ERS), due to trains, stations, and commercial users …
energy, the electric railway system (ERS), due to trains, stations, and commercial users …
Hydrogen energy deployment in decarbonizing transportation sector using multi-supply-demand integrated scenario analysis with nonlinear programming—A Shanxi …
Peaking CO 2 emissions and reaching carbon neutrality create a major role for hydrogen in
the transportation field where decarbonization is difficult. Shanxi, as a microcosm of China in …
the transportation field where decarbonization is difficult. Shanxi, as a microcosm of China in …
Multi‐rate observer design and optimal control to maximize productivity of an industry‐scale fermentation process
Chemical industries focus primarily on profitable operations, resulting in growing attention
and advances in the field of digital twins and optimal control algorithms. However, most …
and advances in the field of digital twins and optimal control algorithms. However, most …
Optimal allocation of static var compensators in electric power systems
In the current age, power systems contain many modern elements, one example being
Flexible AC Transmission System (FACTS) devices, which play an important role in …
Flexible AC Transmission System (FACTS) devices, which play an important role in …
Synthesis and simultaneous optimization of multi-heat source multi-pressure evaporation organic Rankine cycle with mixed working fluid
The organic Rankine cycle (ORC)'s performance relies on heat source properties, cycle
structures, and working fluids. Influences of these factors, however, are often …
structures, and working fluids. Influences of these factors, however, are often …
Supercritical water gasification thermodynamic study and hybrid modeling of machine learning with the ideal gas model: Application to gasification of microalgae …
ÍAM Zelioli, ACD Freitas, AP Mariano - Energy, 2024 - Elsevier
This study presents a hybrid modeling approach that combines a simplified
phenomenological model with machine learning techniques for predicting variables in the …
phenomenological model with machine learning techniques for predicting variables in the …
[HTML][HTML] Optimal CONOPT solver-based coordination of bi-directional converters and energy storage systems for regulation of active and reactive power injection in …
Today's power systems are characterized by a considerable penetration of electricity
production from renewable energy sources. However, renewable energy sources are …
production from renewable energy sources. However, renewable energy sources are …
Multi-objective optimization of proton exchange membrane fuel cell based methanol-solar-to-X hybrid energy systems
This study introduces a novel “methanol-solar-to-X" hybrid energy system based on proton
exchange membrane fuel cells (PEMFC), a promising approach for distributed energy …
exchange membrane fuel cells (PEMFC), a promising approach for distributed energy …
Game-theoretic capacity expansion analysis under carbon emission constraints
A Suski, D Chattopadhyay - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
In this paper, we develop a long-term capacity expansion analysis model that considers
strategic bidding behavior by dominant generation companies together with new entry …
strategic bidding behavior by dominant generation companies together with new entry …
Smart and coordinated allocation of static VAR compensators, shunt capacitors and distributed generators in power systems toward power loss minimization
S Rakočević, M Ćalasan… - Energy Sources, Part A …, 2024 - Taylor & Francis
This paper introduces a smart coordinated allocation of distributed generation (DG) units,
shunt-connected capacitors (SC), and static VAR compensators (SVC) for power loss …
shunt-connected capacitors (SC), and static VAR compensators (SVC) for power loss …