Results 171 to 180 of about 204,605 (307)

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

Efficiency enhancement of solar PV panel by incorporating wickless loop heat pipes with plate type evaporator. [PDF]

Sci Rep
Nethaji N, Kumar RS, Jayanthi N, Murali G, Elumalai PV, Murugan M, Prabhakar S, Zhang J.   +7 more
europepmc   +1 more source

Social Effects in the Diffusion of Solar Photovoltaic Technology in the UK [PDF]

The main research question in this paper is whether the installation rate of solar PV technology is affected by social spillovers from spatially close households.
Laura-lucia Richter, Laura-lucia Richter
core  

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

Leaf area estimation based on ANFIS using embedded system and PV panel. [PDF]

Heliyon
Gokkus G, Keten Gokkus M.
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

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

Seasonal Performance Analysis of Monocrystalline and Polycrystalline Photovoltaic Solar Panels Under Dust Deposition in Niamey, Niger

Energy Science &Engineering, EarlyView.
ABSTRACT This paper investigates the impact of dust accumulation and temperature on the performance of monocrystalline and polycrystalline photovoltaic (PV) panels under the climatic conditions of Niamey, Niger, with a focus on seasonal variations. High‐resolution performance data were collected across the rainy, Harmattan, and hot seasons to evaluate ...
Falmata Abdoulaye Moussa, Ibrahim Halidou, Stefanie Meilinger, Bruno Korgo   +3 more
wiley   +1 more source

Assessing the impact of PV panel climate-based degradation rates on inverter reliability in grid-connected solar energy systems. [PDF]

Heliyon
Alavi O, Kaaya I, De Jong R, De Ceuninck W, Daenen M.   +4 more
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source