Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Falah Alobaid"'
Autor:
Wisam Abed Kattea Al-Maliki, Sajda S. Alsaedi, Hayder Q. A. Khafaji, Falah Alobaid, Bernd Epple
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-22 (2023)
Abstract The validated dynamic model of a parabolic trough power plant (PTPP) is improved by the combination of a new feedwater circuit (feedwater/HTF circuit) and a reference feedwater circuit (feedwater/steam circuit) as well as the development of
Externí odkaz:
https://doaj.org/article/52a1d9cac3fe4c91a450d73a5a88c3b9
Autor:
Wisam Abed Kattea Al-Maliki, Auday Shaker Hadi, Hussein M.H. Al-Khafaji, Falah Alobaid, Bernd Epple
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 10665-10687 (2022)
Several improvements in the referenced parabolic trough power plant (PTPP) model (Andasol II) have been implemented by APROS software. The main advantage of this novel feedwater preheating system is to improve electricity production and evening opera
Externí odkaz:
https://doaj.org/article/fccd6fcf0abc4334910e8873f686564b
Autor:
Lamyaa Khaleel Hasan, Suaad Makki Jiaad, Khansaa Dawood Salman, Wisam Abed Kattea Al-Maliki, Falah Alobaid, Bernd Epple
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12939 (2023)
Objective: The aim of the present work is to study the microstructure, wear behavior, physical properties, and micro-hardness of the aluminum matrix AA6061 reinforced with TiC and B4C nanoparticles with different concentrations of 2.5, 5, 7.5, 10, an
Externí odkaz:
https://doaj.org/article/0d308d095c534b0f983248fa98b41f1b
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
This study presents a comprehensive dynamic process simulation model of a 1 MWth circulating fluidized bed test facility applied for lignite and refuse-derived fuel co-combustion. The developed dynamic process simulation model describes the circulati
Externí odkaz:
https://doaj.org/article/462ef5272f9f4927979f66aa68fc7392
Autor:
Seyyed Amirreza Abdollahi, AmirReza Andarkhor, Afham Pourahmad, Ali Hosin Alibak, Falah Alobaid, Babak Aghel
Publikováno v:
Membranes, Vol 13, Iss 5, p 526 (2023)
Separating carbon dioxide (CO2) from gaseous streams released into the atmosphere is becoming critical due to its greenhouse effect. Membrane technology is one of the promising technologies for CO2 capture. SAPO-34 filler was incorporated in polymeri
Externí odkaz:
https://doaj.org/article/fabbab4696e9443a9e5bcbd25c77c021
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 6, p 5780 (2023)
The higher heating value (HHV) is the main property showing the energy amount of biomass samples. Several linear correlations based on either the proximate or the ultimate analysis have already been proposed for predicting biomass HHV. Since the HHV
Externí odkaz:
https://doaj.org/article/de3f74889c7a4f8781373bf8a4ef7093
Publikováno v:
Nanomaterials, Vol 13, Iss 1, p 60 (2022)
In nature, arsenic, a metalloid found in soil, is one of the most dangerous elements that can be combined with heavy metals. Industrial wastewater containing heavy metals is considered one of the most dangerous environmental pollutants, especially fo
Externí odkaz:
https://doaj.org/article/9b90261af1114b74a0d629cb56322a3e
Autor:
Emanuele Martelli, Falah Alobaid
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
Externí odkaz:
https://doaj.org/article/c3a54c26a23d445c8a7fbe4f61fa308c
Autor:
Ali Hosin Alibak, Seyed Mehdi Alizadeh, Shaghayegh Davodi Monjezi, As’ad Alizadeh, Falah Alobaid, Babak Aghel
Publikováno v:
Membranes, Vol 12, Iss 11, p 1147 (2022)
This study compares the predictive performance of different classes of adaptive neuro-fuzzy inference systems (ANFIS) in predicting the permeability of carbon dioxide (CO2) in mixed matrix membrane (MMM) containing the SAPO-34 zeolite. The hybrid neu
Externí odkaz:
https://doaj.org/article/40729d47cc354ad7ab57576f92cecef6
Autor:
Reza Iranmanesh, Afham Pourahmad, Fardad Faress, Sevil Tutunchian, Mohammad Amin Ariana, Hamed Sadeqi, Saleh Hosseini, Falah Alobaid, Babak Aghel
Publikováno v:
Molecules, Vol 27, Iss 19, p 6540 (2022)
This study correlated biomass heat capacity (Cp) with the chemistry (sulfur and ash content), crystallinity index, and temperature of various samples. A five-parameter linear correlation predicted 576 biomass Cp samples from four different origins wi
Externí odkaz:
https://doaj.org/article/846f3c12cd2b4a7d838990c683887514