Results 161 to 170 of about 277,340 (310)
Integration of a steam cycle with an existing gas turbine increased efficiency from 32% to 51%, reducing fuel consumption by 21.4% and CO2 emissions by 18.6%. The modification generated USD 13.9 million annual savings and lowered the Levelized Cost of Energy to 38.7 USD/MWh, with a 3‐year payback.
Vahid Pirouzfar +2 more
wiley +1 more source
Comparative behavior of steam turbine model for dynamical power system analyses by means of multiple fractional and artificial neural network techniques. [PDF]
Abro KA, Souayeh B, Flah A.
europepmc +1 more source
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
Multi-objective optimization of ice-based thermal storage for enhanced combined cycle power plant performance under hot climate conditions. [PDF]
Azmoun M +5 more
europepmc +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
Enhancing MPPT performance of a grid-connected Doubly-Fed induction generator-based wind power plant using hybrid ANFIS-PI control strategy. [PDF]
Biyazne LW +3 more
europepmc +1 more source
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
Substantially lower estimates in China's offshore wind potential using farm-scale spatial modeling and wake effects. [PDF]
Xu S +8 more
europepmc +1 more source
Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu +5 more
wiley +1 more source

