Results 201 to 210 of about 88,508 (296)

Energy Storage System in Microgrids: Challenges and Opportunities

Energy Science &Engineering, EarlyView.
Hybrid integration of multiple Energy Storage Systems (ESSs) within renewable‐powered microgrids enhances reliability, flexibility, and economic sustainability. Lithium‐ion batteries, flow batteries, hydrogen storage, and thermal systems complement each other through coordinated control via Energy Management Systems.
Mohamed G. Moh Almihat, Josiah L. Munda
wiley   +1 more source

Parameter Estimation in photovoltaic systems using a hybrid Bat and crow metaheuristic algorithm. [PDF]

Sci Rep
Ashour Mohameed Almabrouk A, Avci SA, Rahebi J.   +2 more
europepmc   +1 more source

Off‐Grid Solar Systems: An Experimental Work and Systematic Techno‐Economic Analysis

Energy Science &Engineering, EarlyView.
In the study mentioned above, experimental monitoring and economic evaluation of two off‐grid PV systems were conducted using a low‐cost data logger. The results suggest that basic DC systems are economically feasible compared to grid power, but that AC systems require further cost‐cutting to achieve financial viability.
MD Shouquat Hossain, YuHao Liu, DingXi Xiang, Jing Liu, S. M. Rezaul Karim, Laveet Kumar, Zafar Said, Mohammad A. Alim   +7 more
wiley   +1 more source

Novel and cost-efficient design of stand-alone PV system with simulation using PVsyst and experimental validation. [PDF]

Sci Rep
Mashaly A, Elmadawy M, Elgohary M, Shahin A.   +3 more
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
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, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

First principles exploration of structural, electronic, and optical properties of M₂XT₂ (M = Hf, Zr; X = C; T = O, F) MXenes for photovoltaic applications. [PDF]

Nanoscale Adv
Derafa W, Ahmed I, Saeed A, Alhathlaul N, Ismail K, Ali H, Howells CT, Khera RA, Faizan M.   +8 more
europepmc   +1 more source

Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm

Energy Science &Engineering, EarlyView.
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

Multimodal fault detection model for photovoltaic modules. [PDF]

Sci Rep
Yu S, Gan F, Han T, Hou S, Feng X, Chen K.   +5 more
europepmc   +1 more source

Research advances towards large-scale solar hydrogen production from water [PDF]

, 2019
Ager, Joel W, Kraft, Markus, Liu, Guanyu, Sheng, Yuan, Xu, Rong   +4 more
core  

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
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, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source