Results 171 to 180 of about 1,659,993 (346)
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Cuttings transport simulation workflow. ABSTRACT Efficient cuttings transport is essential for wellbore stability and minimizing non‐productive time in deviated and horizontal wells. This study applies global sensitivity analysis (GSA) to evaluate the influence of 14 drilling parameters on cuttings transport using WellPlanTM hydraulic simulations ...
Esraa A. Refaie +3 more
wiley +1 more source
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare +4 more
wiley +1 more source
Development of a solar-integrated energy management system for grid-to-vehicle and vehicle-to-grid power exchange. [PDF]
Rao NVK, Krishna KB.
europepmc +1 more source
Organization of PV System with Dispersed PV Array
openaire +2 more sources
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley +1 more source
Optimal control strategy for electric vehicle powered by PV arrays and battery using sliding mode control and linear quadratic regulator. [PDF]
Gul BT +5 more
europepmc +1 more source
Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley +1 more source
Performance evaluation and degradation analysis of grid connected photovoltaic systems for energy efficient buildings in tropical climates. [PDF]
Mohamad Radzi PNL +6 more
europepmc +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source

