scispace - formally typeset
Search or ask a question
Institution

King Fahd University of Petroleum and Minerals

EducationDhahran, Saudi Arabia
About: King Fahd University of Petroleum and Minerals is a education organization based out in Dhahran, Saudi Arabia. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 7603 authors who have published 24030 publications receiving 443803 citations. The organization is also known as: College of Petroleum and Minerals.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, activated sludge was used as a precursor to prepare activated carbon using sulfuric acid as a chemical activation agent and the effect of preparation conditions on the produced activated carbon characteristics as an adsorbent was investigated.
Abstract: In this study, activated sludge was used as a precursor to prepare activated carbon using sulfuric acid as a chemical activation agent. The effect of preparation conditions on the produced activated carbon characteristics as an adsorbent was investigated. The results indicate that the produced activated carbon has a highly porous structure and a specific surface area of 580 m 2 /g. The FT-IR analysis depicts the presence of a variety of functional groups which explain its improved adsorption behavior against pesticides. The XRD analysis reveals that the produced activated carbon has low content of inorganic constituents compared with the precursor. The adsorption isotherm data were fitted to three adsorption isotherm models and found to closely fit the BET model with R 2 equal 0.948 at pH 3, indicating a multilayer of pesticide adsorption. The maximum loading capacity of the produced activated carbon was 110 mg pesticides/g adsorbent and was obtained at this pH value. This maximum loading was found experimentally to steeply decrease as the solution pH increases. The obtained results show that activated sludge is a promising low cost precursor for the production of activated carbon.

195 citations

Journal ArticleDOI
TL;DR: In this paper, a detailed exergy analysis of selected thermal power systems driven by parabolic trough solar collectors (PTSCs) is presented, where the power is produced using either a steam Rankine cycle (SRC) or a combined cycle, in which the SRC is the topping cycle and an organic Rankine Cycle (ORC) is the bottoming cycle.

195 citations

Journal ArticleDOI
01 May 2016
TL;DR: The developed ICBO algorithm solved the optimal power flow for several cases using different constraints, formulations and complexities and demonstrated the potential to solve efficiently different OPF problems compared to the reported optimization algorithms in the literature.
Abstract: Flowchart of the proposed OPF solution using ICBO, CBO and ECBO. We developed an Improved Colliding Bodies Optimization (ICBO) algorithm.We solved the optimal power flow for several cases using different constraints, formulations and complexities.The performances of the ICBO algorithm have been evaluated using a comparative study.The ICBO algorithm outperforms many other algorithms for solving optimal power flow problems. This paper proposes Improved Colliding Bodies Optimization (ICBO) algorithm to solve efficiently the optimal power flow (OPF) problem. Several objectives, constraints and formulations at normal and preventive operating conditions are used to model the OPF problem. Applications are carried out on three IEEE standard test systems through 16 case studies to assess the efficiency and the robustness of the developed ICBO algorithm. A proposed performance evaluation procedure is proposed to measure the strength and robustness of the proposed ICBO against numerous optimization algorithms. Moreover, a new comparison approach is developed to compare the ICBO with the standard CBO and other well-known algorithms. The obtained results demonstrate the potential of the developed algorithm to solve efficiently different OPF problems compared to the reported optimization algorithms in the literature.

195 citations

Journal ArticleDOI
TL;DR: An extension of the beta function by introducing an extra parameter, which proved to be useful earlier, is applied here to extend the hypergeometric and confluenthypergeometric functions.

194 citations

Journal ArticleDOI
26 Nov 2015-Nature
TL;DR: It is shown that local strain in the MOF, induced by pore filling, can give rise to collective and long-range adsorbate–adsorbate interactions and the formation of Adsorbate superlattices that extend beyond an original MOF unit cell.
Abstract: Metal-organic frameworks (MOFs) have a high internal surface area and widely tunable composition, which make them useful for applications involving adsorption, such as hydrogen, methane or carbon dioxide storage. The selectivity and uptake capacity of the adsorption process are determined by interactions involving the adsorbates and their porous host materials. But, although the interactions of adsorbate molecules with the internal MOF surface and also amongst themselves within individual pores have been extensively studied, adsorbate-adsorbate interactions across pore walls have not been explored. Here we show that local strain in the MOF, induced by pore filling, can give rise to collective and long-range adsorbate-adsorbate interactions and the formation of adsorbate superlattices that extend beyond an original MOF unit cell. Specifically, we use in situ small-angle X-ray scattering to track and map the distribution and ordering of adsorbate molecules in five members of the mesoporous MOF-74 series along entire adsorption-desorption isotherms. We find in all cases that the capillary condensation that fills the pores gives rise to the formation of 'extra adsorption domains'-that is, domains spanning several neighbouring pores, which have a higher adsorbate density than non-domain pores. In the case of one MOF, IRMOF-74-V-hex, these domains form a superlattice structure that is difficult to reconcile with the prevailing view of pore-filling as a stochastic process. The visualization of the adsorption process provided by our data, with clear evidence for initial adsorbate aggregation in distinct domains and ordering before an even distribution is finally reached, should help to improve our understanding of this process and may thereby improve our ability to exploit it practically.

193 citations


Authors

Showing all 7786 results

NameH-indexPapersCitations
Omar M. Yaghi165459163918
Vinod Kumar Gupta16571383484
Robert H. Grubbs137101383140
Craig J. Hawker13474172032
Avelino Corma134104989095
C. N. R. Rao133164686718
Bharat Bhushan116127662506
Ibrahim Dincer110147956573
Sabu Thomas102155451366
Lajos Hanzo101204054380
Rahman Saidur9757634409
Gareth H. McKinley9746734624
Mohamed-Slim Alouini96178862290
Robert J. Young9064031962
Emmanuel P. Giannelis8838738528
Network Information
Related Institutions (5)
Polytechnic University of Turin
41.3K papers, 789.3K citations

91% related

Polytechnic University of Milan
58.4K papers, 1.2M citations

90% related

Aalto University
32.6K papers, 829.6K citations

89% related

Delft University of Technology
94.4K papers, 2.7M citations

89% related

Polytechnic University of Catalonia
45.3K papers, 949.3K citations

89% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023103
2022347
20211,990
20201,877
20191,601
20181,589