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An enhanced MILP model for multistage reliability-constrained distribution network expansion planning
, Article IEEE Transactions on Power Systems ; Volume 37, Issue 1 , 2022 , Pages 118-131 ; 08858950 (ISSN) ; Abbaspour, A ; Fotuhi Firuzabad, M ; Muñoz Delgado, G ; Contreras, J ; Lehtonen, M ; Arroyo, J. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Reliability is an essential factor in distribution networkt expansion planning. However, standard distribution reliability assessment techniques rely on quantifying the impact of a pre-specified set of events on service continuity through the simulation of component outages, one at a time. Due to such a simulation-based nature, the incorporation of reliability into distribution network expansion planning has customarily required the application of heuristic and metaheuristic approaches. Recently, alternative mixed-integer linear programming (MILP) models have been proposed for distribution network expansion planning considering reliability. Nonetheless, such models suffer from either low...
Investigating the performance of geogrid reinforced unbound layer using light weight deflectometer (LWD)
, Article International Journal of Pavement Research and Technology ; Volume 15, Issue 1 , 2022 , Pages 173-183 ; 19966814 (ISSN) ; Khabiri, S ; Asgharzadeh, S. M ; Abdollahi, S. F ; Sharif University of Technology
Springer
2022
Abstract
This study investigates the performance of geogrid-reinforced unbound pavement layer. In this study, geogrid was used in various layouts and numbers using three different gradation of granular materials. Light weight deflectometer (LWD) device is known as a useful tool to evaluate the stiffness of unbound pavement layers. In this study, the LWD was utilized to experimentally investigate factors affecting the performance of geogrid reinforcement, including the number of geogrids, geogrid layout, and the gradation of unbound layer. There are several parameters which affect the LWD test results including the hammer weight, the falling height, and the surface stress. The effect of these...
CorrIndex: A permutation invariant performance index
, Article Signal Processing ; Volume 195 , 2022 ; 01651684 (ISSN) ; Comon, P ; Jutten, C ; Babaie Zadeh, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Permutation and scaling ambiguities are relevant issues in tensor decomposition and source separation algorithms. Although these ambiguities are inevitable when working on real data sets, it is preferred to eliminate these uncertainties for evaluating algorithms on synthetic data sets. As shown in the paper, the existing performance indices for this purpose are either greedy and unreliable or computationally costly. In this paper, we propose a new performance index, called CorrIndex, whose reliability can be proved theoretically. Moreover, compared to previous performance indices, it has a low computational cost. Theoretical results and computer experiments demonstrate these advantages of...
Enzymatic formation of recombinant antibody-conjugated gold nanoparticles in the presence of citrate groups and bacteria
, Article Catalysts ; Volume 12, Issue 9 , 2022 ; 20734344 (ISSN) ; Ebrahimipour, G ; Bandehpour, M ; Akhavan, O ; Yarian, F ; Sharif University of Technology
MDPI
2022
Abstract
With the spread of deadly diseases worldwide, the design of rapid tests to identify causative microorganisms is necessary. Due to the unique properties of gold nanoparticles, these nanoparticles are used in designing rapid diagnostic tests, such as strip tests. The current study aimed to investigate the ability of gold nanoparticles to bind to single-chain variable fragment antibodies. In this study, the biological and chemical methods included Escherichia coli TOP-10 and the Turkevich method to synthesize the gold nanoparticles, respectively. Then, the effect of synthetic nanoparticles on their capability of binding to recombinant antibodies was assessed by agarose gel and UV-vis...
Design and development of a self-assembling protein nanoparticle displaying PfHAP2 antigenic determinants recognized by natural acquired antibodies
, Article PLoS ONE ; Volume 17, Issue 9 September , 2022 ; 19326203 (ISSN) ; Mehrizi, A. A ; Sardari, S ; Alemzadeh, I ; Sharif University of Technology
Public Library of Science
2022
Abstract
Backgrounds In order to move towards the elimination and eradication of malaria in the world, the development of vaccines is inevitable. Many modern vaccines are based on recombinant technology; however, they may not provide a fully protective, long-lasting immune response. One of the strategies to improve recombinant vaccines is designing the nanovaccines such as self-assembling protein nanoparticles (SAPNs). Hence, the presentation of epitopes in a repeat array and correct conformation should be considered. P. falciparum generative cell-specific 1 (PfGCS1) is a main transmission-blocking vaccine candidate with two highly conserved fragments, HAP2-GCS1 and cd loop, inducing partial malaria...
Recent Progress of Triboelectric Nanogenerators for Biomedical Sensors: From Design to Application
, Article Biosensors ; Volume 12, Issue 9 , 2022 ; 20796374 (ISSN) ; Rayegani, A ; Matin Nazar, A ; Balaghiinaloo, M ; Saberian, M ; Mohsan, S. A. H ; Alsharif, M. H ; Cho, H. S ; Sharif University of Technology
MDPI
2022
Abstract
Triboelectric nanogenerators (TENG) have gained prominence in recent years, and their structural design is crucial for improvement of energy harvesting performance and sensing. Wearable biosensors can receive information about human health without the need for external charging, with energy instead provided by collection and storage modules that can be integrated into the biosensors. However, the failure to design suitable components for sensing remains a significant challenge associated with biomedical sensors. Therefore, design of TENG structures based on the human body is a considerable challenge, as biomedical sensors, such as implantable and wearable self-powered sensors, have recently...
Comparison of logarithmic, elliptic, and conical helical spiral for isolation of circulating tumor cells based on inertial method
, Article Physics of Fluids ; Volume 34, Issue 9 , 2022 ; 10706631 (ISSN) ; Mozhdehbakhsh Mofrad, Y ; Safari, M ; Naseri, T ; Sharif University of Technology
American Institute of Physics Inc
2022
Abstract
Cancer is one of the most significant causes of death in the world. It has been shown that the role of circulating tumor cells (CTCs) in the early detection of cancer is crucial. Since the number of these cancerous cells in blood is very rare, the inertial microfluidic devices are one of the best candidates for the isolation of CTCs because they result in a high throughput process. Consequently, they can process a large volume of blood in a short time. Despite extensive computational and experimental studies on inertial microfluidic platforms, the impact of the curvature has not been thoroughly investigated during separation. In this paper, the feasibility of isolation of CTCs for...
Search for a W′ boson decaying to a vector-like quark and a top or bottom quark in the all-jets final state at √s = 13 TeV
, Article Journal of High Energy Physics ; Volume 2022, Issue 9 , 2022 ; 10298479 (ISSN) ; Adam, W ; Andrejkovic, J. W ; Bergauer, T ; Chatterjee, S ; Dragicevic, M ; Escalante Del Valle, A ; Frühwirth, R ; Jeitler, M ; Krammer, N ; Lechner, L ; Liko, D ; Mikulec, I ; Paulitsch, P ; Pitters, F. M ; Schieck, J ; Schöfbeck, R ; Schwarz, D ; Templ, S ; Waltenberger, W ; Wulz, C. E ; Chekhovsky, V ; Litomin, A ; Makarenko, V ; Darwish, M. R ; De Wolf, E. A ; Janssen, T ; Kello, T ; Lelek, A ; Rejeb Sfar, H ; Van Mechelen, P ; Van Putte, S ; Van Remortel, N ; Blekman, F ; Bols, E. S ; D’Hondt, J ; Delcourt, M ; El Faham, H ; Lowette, S ; Moortgat, S ; Morton, A ; Müller, D ; Sahasransu, A. R ; Tavernier, S ; Van Doninck, W ; Van Mulders, P ; Beghin, D ; Bilin, B ; Clerbaux, B ; De Lentdecker, G ; Favart, L ; Grebenyuk, A ; Kalsi, A. K ; Lee, K ; Mahdavikhorrami, M ; Makarenko, I ; Moureaux, L ; Pétré, L ; Popov, A ; Postiau, N ; Starling, E ; Thomas, L ; Vanden Bemden, M ; Vander Velde, C ; Vanlaer, P ; Wezenbeek, L ; Cornelis, T ; Dobur, D ; Knolle, J ; Lambrecht, L ; Mestdach, G ; Niedziela, M ; Roskas, C ; Samalan, A ; Skovpen, K ; Tytgat, M ; Vermassen, B ; Vit, M ; Benecke, A ; Bethani, A ; Bruno, G ; Bury, F ; Caputo, C ; David, P ; Delaere, C ; Donertas, I. S ; Giammanco, A ; Jaffel, K ; Jain, S ; Lemaitre, V ; Mondal, K ; Prisciandaro, J ; Taliercio, A ; Teklishyn, M ; Tran, T. T ; Vischia, P ; Wertz, S ; Alves, G. A ; Hensel, C ; Moraes, A ; Aldá Júnior, W. L ; Alves Gallo Pereira, M ; Barroso Ferreira Filho, M ; Brandao Malbouisson, H ; Carvalho, W ; Chinellato, J ; Da Costa, E. M ; Da Silveira, G. G ; De Jesus Damiao, D ; Fonseca De Souza, S ; Matos Figueiredo, D ; Mora Herrera, C ; Mota Amarilo, K ; Mundim, L ; Nogima, H ; Rebello Teles, P ; Santoro, A ; Silva Do Amaral, S. M ; Sznajder, A ; Thiel, M ; Torres Da Silva De Araujo, F ; Vilela Pereira, A ; Bernardes, C. A ; Calligaris, L ; Fernandez Perez Tomei, T. R ; Gregores, E. M ; Lemos, D. S ; Mercadante, P. G ; Novaes, S. F ; Padula, S. S ; Aleksandrov, A ; Antchev, G ; Hadjiiska, R ; Iaydjiev, P ; Misheva, M ; Rodozov, M ; Shopova, M ; Sultanov, G ; Dimitrov, A ; Ivanov, T ; Litov, L ; Pavlov, B ; Petkov, P ; Petrov, A ; Cheng, T ; Javaid, T ; Mittal, M ; Yuan, L ; Ahmad, M ; Bauer, G ; Dozen, C ; Hu, Z ; Martins, J ; Wang, Y ; Yi, K ; Chapon, E ; Chen, G. M ; Chen, H. S ; Chen, M ; Iemmi, F ; Kapoor, A ; Leggat, D ; Liao, H ; Liu, Z.-A ; Milosevic, V ; Monti, F ; Sharma, R ; Tao, J ; Thomas Wilsker, J ; Wang, J ; Zhang, H ; Zhao, J ; Agapitos, A ; An, Y ; Ban, Y ; Chen, C ; Levin, A ; Li, Q ; Lyu, X ; Mao, Y ; Qian, S. J ; Wang, D ; Wang, Q ; Xiao, J ; Lu, M ; You, Z ; Gao, X ; Okawa, H ; Lin, Z ; Xiao, M ; Avila, C ; Cabrera, A ; Florez, C ; Fraga, J ; Mejia Guisao, J ; Ramirez, F ; Ruiz Alvarez, J. D ; Salazar González, C. A ; Giljanovic, D ; Godinovic, N ; Lelas, D ; Puljak, I ; Antunovic, Z ; Kovac, M ; Sculac, T ; Brigljevic, V ; Ferencek, D ; Majumder, D ; Roguljic, M ; Starodumov, A ; Susa, T ; Attikis, A ; Christoforou, K ; Erodotou, E ; Ioannou, A ; Kole, G ; Kolosova, M ; Konstantinou, S ; Mousa, J ; Nicolaou, C ; Ptochos, F ; Razis, P. A ; Rykaczewski, H ; Saka, H ; Finger, M ; Finger, M., Jr ; Kveton, A ; Ayala, E ; Carrera Jarrin, E ; Abdalla, H ; Khalil, S ; Lotfy, A ; Mahmoud, M. A ; Bhowmik, S ; Dewanjee, R. K ; Ehataht, K ; Kadastik, M ; Nandan, S ; Nielsen, C ; Pata, J ; Raidal, M ; Tani, L ; Veelken, C ; Eerola, P ; Forthomme, L ; Kirschenmann, H ; Osterberg, K ; Voutilainen, M ; Bharthuar, S ; Brücken, E ; Garcia, F ; Havukainen, J ; Kim, M.S ; Kinnunen, R ; Lampén, T ; Lassila-Perini, K ; Lehti, S ; Lindén, T ; Lotti, M ; Martikainen, L ; Myllymäki, M ; Ott, J ; Siikonen, H ; Tuominen, E ; Tuominiemi, J ; Luukka, P ; Petrow, H ; Tuuva, T ; Amendola, C ; Besancon, M ; Couderc, F ; Dejardin, M ; Denegri, D ; Faure, J.L ; Ferri, F ; Ganjour, S ; Givernaud, A ; Gras, P ; Hamel de Monchenault, G ; Jarry, P ; Lenzi, B ; Locci, E ; Malcles, J ; Rander, J ; Rosowsky, A ; Sahin, M.Ö ; Savoy Navarro, A ; Titov, M ; Yu, G.B ; Ahuja, S ; Beaudette, F ; Bonanomi, M ; Buchot Perraguin, A ; Busson, P ; Cappati, A ; Charlot, C ; Davignon, O ; Diab, B ; Falmagne, G ; Ghosh, S ; Granier de Cassagnac, R ; Hakimi, A ; Kucher, I ; Motta, J ; Nguyen, M ; Ochando, C ; Paganini, P ; Rembser, J ; Salerno, R ; Sauvan, J. B ; Sirois, Y ; Tarabini, A ; Zabi, A ; Zghiche, A ; Agram, J.-L ; Andrea, J ; Apparu, D ; Bloch, D ; Bourgatte, G ; Brom, J. M ; Chabert, E. C ; Collard, C ; Darej, D ; Fontaine, J. C ; Goerlach, U ; Grimault, C ; Le Bihan, A.-C ; Nibigira, E ; Van Hove, P ; Asilar, E ; Beauceron, S ; Bernet, C ; Boudoul, G ; Camen, C ; Carle, A ; Chanon, N ; Contardo, D ; Depasse, P ; El Mamouni, H ; Fay, J ; Gascon, S ; Gouzevitch, M ; Ille, B ; Laktineh, I. B ; Lattaud, H ; Lesauvage, A ; Lethuillier, M ; Mirabito, L ; Perries, S ; Shchablo, K ; Sordini, V ; Torterotot, L ; Touquet, G ; Vander Donckt, M ; Viret, S ; Lomidze, I ; Toriashvili, T ; Tsamalaidze, Z ; Botta, V ; Feld, L ; Klein, K ; Lipinski, M ; Meuser, D ; Pauls, A ; Röwert, N ; Schulz, J ; Teroerde, M ; Dodonova, A ; Eliseev, D ; Erdmann, M ; Fackeldey, P ; Fischer, B ; Ghosh, S ; Hebbeker, T ; Hoepfner, K ; Ivone, F ; Mastrolorenzo, L ; Merschmeyer, M ; Meyer, A ; Mocellin, G ; Mondal, S ; Mukherjee, S ; Noll, D ; Novak, A ; Pook, T ; Pozdnyakov, A ; Rath, Y ; Reithler, H ; Roemer, J ; Schmidt, A ; Schuler, S. C ; Sharma, A ; Vigilante, L ; Wiedenbeck, S ; Zaleski, S ; Dziwok, C ; Flügge, G ; Haj Ahmad, W ; Hlushchenko, O ; Kress, T ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
A search is presented for a heavy W′ boson resonance decaying to a B or T vector-like quark and a t or a b quark, respectively. The analysis is performed using proton-proton collisions collected with the CMS detector at the LHC. The data correspond to an integrated luminosity of 138 fb−1 at a center-of-mass energy of 13 TeV. Both decay channels result in a signature with a t quark, a Higgs or Z boson, and a b quark, each produced with a significant Lorentz boost. The all-hadronic decays of the Higgs or Z boson and of the t quark are selected using jet substructure techniques to reduce standard model backgrounds, resulting in a distinct three-jet W′ boson decay signature. No significant...
Comparative assessment of passive scattering and active scanning proton therapy techniques using Monte Carlo simulations
, Article Journal of Instrumentation ; Volume 17, Issue 9 , 2022 ; 17480221 (ISSN) ; Hosseini, S. A ; Akhavanallaf, A ; Vosoughi, N ; Zaidi, H ; Sharif University of Technology
Institute of Physics
2022
Abstract
Background: in this study, two proton beam delivery designs, i.e. passive scattering proton therapy (PSPT) and pencil beam scanning (PBS), were quantitatively compared in terms of dosimetric indices. The GATE Monte Carlo (MC) particle transport code was used to simulate the proton beam system; and the developed simulation engines were benchmarked with respect to the experimental measurements. Method: A water phantom was used to simulate system energy parameters using a set of depth-dose data in the energy range of 120-235 MeV. To compare the performance of PSPT against PBS, multiple dosimetric parameters including Bragg peak width (BP W50), peak position, range, peak-To-entrance dose ratio,...
A humanitarian cold supply chain distribution model with equity consideration: The case of COVID-19 vaccine distribution in the European Union
, Article Decision Analytics Journal ; Volume 4 , 2022 ; 27726622 (ISSN) ; Kayvanfar, V ; Haji, A ; Sharif University of Technology
Elsevier Inc
2022
Abstract
This research develops a humanitarian cold supply chain model with equity consideration for COVID-19 vaccine distribution during a pandemic, considering deprivation cost and an important social concept named equity. The proposed comprehensive plan minimizes all incurred costs, including transportation costs, shortage costs, deprivation costs, and holding costs, while aiming at eliminating infection and mortality rates. The proposed three-echelon supply chain model includes suppliers, distributors, and affected regions (ARs), as destinations. We apply the proposed model to the actual vaccine distribution data during the COVID-19 outbreak in Europe. A mixed integer programming (MIP) model is...
The effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) on the cognitive and motor functions in rodents: A systematic review and meta-analysis
, Article Neuroscience and Biobehavioral Reviews ; Volume 140 , 2022 ; 01497634 (ISSN) ; Abbaszadeh, M ; Ghazizadeh, A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Memory and motor deficits are commonly identified in Parkinson's disease (PD). 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is transformed to MPP+ via monoamine oxidase B (MAOB), which causes oxidative stress and destroys dopaminergic (DA) neurons in substantia nigra pars compacta (SNc) and is widely used to create animal models of PD. However, to-date, a comprehensive analysis of the MPTP effects on various aspects of PD does not exist. Here, we provide a systematic review and meta-analysis on the MPTP effects on memory and motor functions by analyzing 51 studies on more than one thousand animals mainly including rats and mice. The results showed that in addition to motor functions...
N-Type conductive small molecule assisted 23.5% efficient inverted perovskite solar cells
, Article Advanced Energy Materials ; Volume 12, Issue 34 , 2022 ; 16146832 (ISSN) ; Li, Y ; Zhang, Y ; Zhao, J ; Wang, T ; Yang, B ; Pu, X ; Yang, J ; Chen, H ; Chen, X ; Li, X ; Ghasemi, S ; Salari, H ; Hagfeldt, A ; Li, X ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Because of the compatibility with tandem devices and the ability to be manufactured at low temperatures, inverted perovskite solar cells have generated far-ranging interest for potential commercial applications. However, their efficiency remains inadequate owing to various traps in the perovskite film and the restricted hole blocking ability of the electron transport layer. Thus, in this work, a wide-bandgap n-type semiconductor, 4,6-bis(3,5-di(pyridin-4-yl)phenyl)-2-phenylpyrimidine (B4PyPPM), to modify a perovskite film via an anti-solvent method is introduced. The nitrogen sites of pyrimidine and pyridine rings in B4PyPPM exhibit strong interactions with the undercoordinated lead ions in...
Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
, Article Journal of Hydrology ; Volume 612 , 2022 ; 00221694 (ISSN) ; Ataie Ashtiani, B ; Hosseini, S. M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Accurate mapping of flood risk areas is the basis for providing basic information on flood hazard reduction strategies and facilitates the relocation process. This study compared statistical approaches and multi-criteria-decision-making (MCDM) in flood hazard susceptibility mapping (FHSM). The performance of two statistical methods, the Evidential Belief Function (EBF) and Weight of Evidence (WOE), was compared with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an MCDM technique. Mohammad-Abad catchment, known as one of the flood susceptible areas in northern Iran, was selected as a case study. A 100-year flood event with a peak flow of 85 m3/s, known as...
Subcutaneous insulin administration by deep reinforcement learning for blood glucose level control of type-2 diabetic patients
, Article Computers in Biology and Medicine ; Volume 148 , 2022 ; 00104825 (ISSN) ; Niazmand, V. R ; Eqra, N ; Vatankhah, R ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Background: Type-2 diabetes mellitus is characterized by insulin resistance and impaired insulin secretion in the human body. Many endeavors have been made in terms of controlling and reducing blood glucose via the medium of automated controlling tools to increase precision and efficiency and reduce human error. Recently, reinforcement learning algorithms are proved to be powerful in the field of intelligent control, which was the motivation for the current study. Methods: For the first time, a reinforcement algorithm called normalized advantage function (NAF) algorithm has been applied as a model-free reinforcement learning method to regulate the blood glucose level of type-2 diabetic...
Overcome low intrinsic conductivity of Niox through triazinyl modification for highly efficient and stable inverted perovskite solar cells
, Article Solar RRL ; Volume 6, Issue 9 , 2022 ; 2367198X (ISSN) ; Wang, T ; Li, Y ; Pu, X ; Chen, H ; Li, Y ; Yang, B ; Zhang, Y ; Zhao, J ; Cao, Q ; Chen, X ; Ghasemi, S ; Hagfeldt, A ; Li, X ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Nickel oxide (NiOx) is a promising hole transport material in inverted organic-inorganic metal halide perovskite solar cells. However, its low intrinsic conductivity hinders its further improvement in device performance. Here, we employ a trimercapto-s-triazine trisodium salt (TTTS) as a chelating agent of Ni2+ in the NiOx layer to improve its conductivity. Due to the electron-deficient triazine ring, the TTTS complexes with Ni2+ in NiOx via a strong Ni2+-N coordination bond and increases the ratio of Ni3+:Ni2+. The increased Ni3+ concentration adjusts the band structure of NiOx, thus enhancing hole density and mobility, eventually improving the intrinsic conductivity of NiOx. As a result,...
Fractal metamaterial based multiband absorber operating in 5G regime
, Article Optik ; Volume 266 , 2022 ; 00304026 (ISSN) ; Latif, H ; Altintas, O ; Akhtar, M. N ; Karaaslan, M ; Server, H ; Hameed, M ; Idrees, N. M ; Sharif University of Technology
Elsevier GmbH
2022
Abstract
Multiband absorption is the interest of the microwave communities due to several applications in sensing, filtering, and stealth. Usually, the stacking of metal and dielectric multilayered structures form a multiband absorber which makes the device bulky and costly. In this paper, we investigate a multiband absorber based on a single-layered fractal metasurface for the 5G applications. The unit cell of the fractal metasurface is comprised of six ring-shaped symmetric split-ring resonators (SRRs) connected back-to-back with each other. The absorptivity is investigated in the 5G microwave regime (22–36 GHz) for various obliquities at different substrate thicknesses. Simulation results show...
Properly-tuned continuum and atomistic models for vibrational analysis of the silicon nanoplates
, Article International Journal of Mechanical Sciences ; Volume 229 , 2022 ; 00207403 (ISSN) ; Nejat Pishkenari, H ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
The high computational costs of atomistic simulations for the investigation of nanostructures, despite their accuracy, necessitate efforts to develop efficient continuum models. Since the classical continuum mechanics assume the matter as continuous and ignore the size dependency of material properties, these theories fail to capture the behavior of materials at the nanoscale. Size-dependencies of nanostructures could result in the emergence of surface effects. This paper, for the first time, aims to develop and tune surface-enhanced continuum models to predict the vibrational properties of nanoplates which are inherently discrete at the nanoscale. Regarding this aim, we use a composite...
A transactive-based control scheme for minimizing real-time energy imbalance in a multiagent microgrid: A CVaR-Based model
, Article IEEE Systems Journal ; Volume 16, Issue 3 , 2022 , Pages 4164-4174 ; 19328184 (ISSN) ; Tavakkoli, M ; Abbaspour, A ; Mazaheri, H ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Power systems are undergoing significant transformations due to the introduction of microgrids (MGs) and distributed energy resources (DERs). In this regard, MGs as new entities in the system facilitate the integration of independently operated DERs to the power system. In this structure, DERs would be operated by independent agents, while the microgrid's control unit (MCU) would coordinate agents' resource scheduling to maximize social welfare. In this structure, the uncertainty of resources operated by agents could lead to real-time energy imbalance in the MG resulting in agents' loss of profits. Consequently, a novel transactive-based-scheme is developed in this article to facilitate...
A zwitterion metal-organic framework for the removal of fluoride from an aqueous solution
, Article Journal of Chemical Sciences ; Volume 134, Issue 3 , 2022 ; 09743626 (ISSN) ; Gholami, R. M ; Borghei, S. M ; Sharif University of Technology
Springer
2022
Abstract
Excess fluoride is one of the water pollutants in the world, which is removed from water by chemical methods to produce sludge. On the other hand, techniques such as R.O. (Reverse Osmosis) also have problems with power consumption and wastewater disposal. Metal-organic frameworks are one of the newest adsorbents used to separate anions. In this study, MOF1 ({[Zn3L3(BPE)1.5]·4.5DMF}n) was used to remove fluoride from the aqueous solution. The influence of various factors such as pH, contact time, adsorbent amount, and temperature on fluoride uptake was investigated. Based on the results, the MOF synthesized in acidic media absorbs more fluoride ions. The reaction time in the first 20 min had...
Carbon-based nanocomposites: Distinguishing between deep-bed filtration and external filter cake by coupling core-scale mud-flow tests with computed tomography imaging
, Article Journal of Natural Gas Science and Engineering ; Volume 105 , 2022 ; 18755100 (ISSN) ; Fouji, M ; Ghorbani Heidarabad, R ; Aghaei, H ; Hajiabadi, S. H ; Bedrikovetsky, P ; Mahani, H ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Although Multi-Walled Carbon NanoTubes (MWCNTs) are found to influence the rheological behavior of drilling fluids, there are yet some controversies regarding their performance towards reducing formation damage induced by the invasion of water-based drilling fluids (WBFs). To address this important question, we synthesized novel nanocomposite materials via modifying the MWCNT via varying the proportion of carboxylated MWCNTs to PolyVinyl Alcohol (PVA). These nanocomposites were then used to make nano-based drilling-fluids (NDFs). The performance of the NDFs was evaluated by a set of rheological behavior tests, filtration experiments, and core-scale mud flow tests. To distinguish between the...