Results 111 to 120 of about 299,011 (306)

Modeling and Experimental Study of a Dual‐Receiver Parabolic Solar Concentrator for Direct Electricity Generation and Thermal Storage for Isolated Sites

Energy Science &Engineering, EarlyView.
Approximately 64% of the population in sub‐Saharan Africa lacks access to electricity, despite the region's high solar potential, making concentrated solar power a promising solution for decentralized and sustainable energy supply. This study presents the design, construction, and testing of a parabolic solar concentrator with two focal‐point receivers
Sani Dan Nomao Harouna, Nabil Alkassoum, Noma Talibi Soumaila, Ali Aboubacar, Hamza Abarchi Halarou, Boubou Bagre, Makinta Boukar   +6 more
wiley   +1 more source

Binary Nanoparticle Combinations in Acetone‐Based Working Fluids for Thermal Performance Enhancement of Evacuated Tube Solar Water Collectors

Energy Science &Engineering, EarlyView.
Illustration of the work. ABSTRACT This experimental investigation evaluates the thermal performance enhancement of evacuated tube solar water collectors through the implementation of binary nanofluid formulations using acetone as the base fluid. Three metal oxide nanoparticles, including magnesium oxide (MgO), copper oxide (CuO), and titanium dioxide (
Ali Basem, Zukhra Atamuratova, Sardor Sabirov, Otabek Mukhitdinov, Elyor Saitov, Fohagui Fodoup Cyrille Vinceslas   +5 more
wiley   +1 more source

Tropospheric range error parameters: Further studies [PDF]

Improved parameters are presented for predicting the tropospheric effect on electromagnetic range measurements from surface meteorological data. More geographic locations have been added to the earlier list.
Hopfield, H. S.
core   +1 more source

Spatial interpolation of high-frequency monitoring data

, 2009
Climate modelers generally require meteorological information on regular grids, but monitoring stations are, in practice, sited irregularly. Thus, there is a need to produce public data records that interpolate available data to a high density grid ...
Stein, Michael L.
core   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Atmospheric environment for Space Shuttle (STS-6) launch [PDF]

Selected atmospheric conditions observed near Space Shuttle STS-6 launch time on April 4, 1983, at Kennedy Space Center, Florida are summarized. Values of ambient pressure, temperature, moisture, ground winds, visual observations (cloud), and winds aloft
Batts, G. W., Hill, C. K., Johnson, D. L.   +2 more
core   +1 more source

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

Energy 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, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

The Impact of Meteorological Parameters on SO2 Pollutant Accumulation over Urmia City [PDF]

محیط زیست و مهندسی آب, 2016
In this research, the impact of meteorological parameters on SO2 accumulation between 2009 to 2015 years over Urmia City was investigated. Due to the polluted days and no remarkable effects relating to increasing industrial activities and transport ...
Hesam Ahmady-Birgani, Saeed Mosavi, Saeed Sani   +2 more
doaj  

What One Can Learn From the Cloud Condensation Nuclei (CCN) Size Distributions as Monitored by the BEO Moussala?

, 2018
In this proceeding we report initial studies into the big data set acquired by the Cloud Condensation Nuclei (CCN) counter of the Basic Environmental Observatory (BEO) Moussala over the whole 2016 year at a frequency of 1 Hz.
Angelov, Ch., Arsov, T., Guerova, G., Kalapov, I., Kleshtanova, V., Tonchev, V.   +5 more
core   +1 more source