Results 161 to 170 of about 153,526 (307)

Sustainable Microwave‐Enhanced Synthesis of 2‐Substituted Benzofurans From o‐Alkynylanisoles in Acidic Deep Eutectic Solvents

open access: yesEuropean Journal of Organic Chemistry, EarlyView.
A microwave‐enhanced sustainable and versatile approach to substituted benzofurans from 2‐alkynylanisoles enabled by an active Brønsted acidic deep eutectic solvent. The research on alternative media for organic transformations remains a highly demanding topic.
Alessandra Gritti   +9 more
wiley   +1 more source

Revisiting Open‐Circuit Voltage in Heterojunction‐Scarce Organic Solar Cells

open access: yesElectron, EarlyView.
This work establishes an analytic framework based on the interplay between the composition‐driven density of states and geminate recombination for understanding the open‐circuit voltage of bulk heterojunction‐reduced organic solar cells. ABSTRACT Organic solar cells (OSCs) have reached power conversion efficiencies (PCEs) above 21%, yet their market ...
Zeyu Wang, Chao Zhao, Wei Ma, Han Yan
wiley   +1 more source

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

open access: yesEnergy Science &Engineering, EarlyView.
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

The unstoppable rise of photovoltaic solar energy: PV vs. PV

open access: yes, 2012
Photovoltaic (PV) solar energy has been growing during the last decade an explosive rate. Last year (2011) the solar cell production amounted to more than 37 GW. It is the energy technology most installed nowadays. The power generated by the 37 GW is similar to the one generated by about 7 nuclear units of 1 GW each.
openaire   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

open access: yesEnergy Science &Engineering, EarlyView.
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

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

open access: yesEnergy Science &Engineering, EarlyView.
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

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

open access: yesEnergy Science &Engineering, EarlyView.
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

Hierarchical Development of Photovoltaic (PV) Simulation for PV System with Commercial PV Modules

open access: yesDEStech Transactions on Environment, Energy and Earth Sciences, 2019
Jen-Yung Lin   +2 more
openaire   +2 more sources

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 more
wiley   +1 more source

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