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Browsing by Type "Erratum"

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Author Correction: Optimal SSSC-based power damping inter-area oscillations using firefly and harmony search algorithms (Scientific Reports, (2020), 10, 1, (12437), 10.1038/s41598-020-69319-x)
(Nature Research, 2020)
Naderipour A.
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Abdul?Malek Z.
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Ramachandaramurthy V.K.
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Miveh M.R.
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Moghaddam M.J.H.
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Guerrero J.M.
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36677578000
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57195728805
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6602912020
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55321573900
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57212543691
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35588010400
The Acknowledgements section in this Article is incorrect. �This research was funded by the Universitas Sriwijaya (grant 4B379), Universiti Malaysia Perlis (4B482), Universiti Teknologi Malaysia (Post-Doctoral Fellowship Scheme grant 05E09, and RUG grants 01M44, 02M18, 05G88) and VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920): Center for Research on Microgrids (CROM); https ://www.crom.et.aau.dk. In addition, the authors wish to thank Duy Tan University for their financial support.� should read: �This research was funded by the Universiti Teknologi Malaysia (Post-Doctoral Fellowship Scheme grant 05E09), and VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920): Center for Research on Microgrids (CROM); www.crom.et.aau.dk. In addition, authors would like to acknowledge the funding from iRMC Internal Research Grant (RJO10517844094), Universiti Tenaga Nasional, Malaysia.� � 2020, The Author(s).
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Correction to: Recent advancement of fractional calculus and its applications in physical systems (The European Physical Journal Special Topics, (2023), 232, 14-15, (2347-2350), 10.1140/epjs/s11734-023-01002-4)
(Springer Science and Business Media Deutschland GmbH, 2023)
Boulaaras S.
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Jan R.
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Pham V.-T.
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36994353700
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57205596279
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36998895200
In this article the keywords were missing. The following keywords are for the published original article https://doi.org/10.1140/epjs/s11734-023-01002-4: Bacterial infection�� Mathematical model�� Fractional-calculus, Endemic indicator�� Caputo�Fabrizio�operator�� Dynamical behavior�� Ordinary differential equations�� Mathematical operators. � The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023.
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Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
(Springer, 2020)
Banadkooki F.B.
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Ehteram M.
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Ahmed A.N.
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Teo F.Y.
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Ebrahimi M.
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Fai C.M.
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Huang Y.F.
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El-Shafie A.
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57201068611
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57113510800
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57214837520
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35249518400
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57209555582
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57214146115
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55807263900
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16068189400
Following the publication of the article it has come to the authors' attention that the first panel of Fig. 11 has been repeated with the second panel of Fig. 11. � 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
5
Correction: A power system network splitting strategy based on contingency analysis (Energies (2018) 11 (434) DOI: 10.3390/en11020434)
(MDPI AG, 2018)
Saharuddin N.Z.
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Abidin I.Z.
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Mokhlis H.
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Abdullah A.R.
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Naidu K.
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55613455300
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35606640500
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8136874200
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24463454500
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18434522500
The authors wish to make the following corrections to this paper [1]. On page 1, the third author's name should be changed from Hazlie Mohklis to Hazlie Mokhlis. Furthermore, on page 12, in Table 1, ?1099.98 is changed to ?1117.603 in the ninth column, eighth row; and ?1061.97 changed to ?1079 in the tenth column, fourth row. The correct version of the table is thus (Table presented). The authors would like to apologize for any inconvenience caused to the readers by these changes. The manuscript will be updated, and the original version will remain available on the article webpage. � 2018 by the authors. Licensee MDPI, Basel, Switzerland.
5
Correction: Biodiesel production from transesterification of Australian Brassica napus L. oil: optimisation and reaction kinetic model development (Environment, Development and Sustainability, (2022), 10.1007/s10668-022-02506-0)
(Springer Science and Business Media B.V., 2022)
Hazrat M.A.
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Rasul M.G.
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Khan M.M.K.
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Ashwath N.
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Fattah I.M.R.
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Ong H.C.
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Mahlia T.M.I.
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55936470700
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6603918185
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57855679400
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55962751500
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57929684200
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55310784800
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56997615100
Unfortunately, the original article contains error in Sect. 3.3. Fuel Composition. The correct data have been provided below in this correction article. 3.3. Fuel composition The fatty acid composition of the produced biodiesel through the optimisation process is shown in Table 8. From the table, it can be seen that Australian canola oil is mostly composed of methyl oleate, with 42.47 wt% included in the composition. This is followed by 27.85 wt% and 16.65 wt% methyl linoleate and methyl linoleate, respectively. A similar FAC was observed by Issariyakul and Dalai (2010) with slight difference in methyl oleate and methyl linolenate percentages. The main component of their canola oil biodiesel is methyl oleate which contains 60.92 wt% of this component. Based on the composition, canola biodiesel contains a total of 12.89 wt% saturated FAME component, 42.61 wt% monounsaturated FAME and 44.5 wt% polyunsaturated FAME. Table 9 compares the properties of produced canola biodiesel and diesel. According to the table, canola oil biodiesel has a 21.5% higher cetane number but a 6% lower LHV than diesel fuel. � The Author(s) 2022.
6
Corrigendum to "performance of bricks made using fly ash and bottom ash" (Constr. Build. Mater. (2015) 96 (576-580) 10.1016/j.conbuildmat.2015.08.068)
(Elsevier Ltd, 2016)
Naganathan S.
;
Omer Mohamed A.Y.
;
Jamali S.
;
Mustapha K.N.
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30267872100
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57168894900
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56469003100
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26032672000
[No abstract available]
Corrigendum to "Properties of controlled low-strength material made using industrial waste incineration bottom ash and quarry dust" [Mater. Des. 33 (January) (2012) 56-63, doi: 10.1016/j.matdes.2011.07.014]
(Elsevier Ltd, 2015)
Naganathan S.
;
Razak H.A.
;
Hamid S.N.A.
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30267872100
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9243893200
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35573270200
[No abstract available]
1
Corrigendum to �A review on the performance of nanoparticles suspended with refrigerants and lubricating oils in refrigeration systems� [Renewable and Sustainable Energy Reviews, 15 (1), 2011, pp. 310�323](S1364032110002704)(10.1016/j.rser.2010.08.018)
(Elsevier Ltd, 2018)
Saidur R.
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Kazi S.N.
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Hossain M.S.
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Rahman M.M.
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Mohammed H.A.
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6602374364
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7003406290
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57211629572
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57223939733
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57209486570
The authors regret that they have inadvertently published this paper with parts that appear close to some materials we had included in some of our other review research (new reference [A] below). This other review was submitted for publication at about the same time and was not referenced in this review. However, the technical content and focus of these review papers are much different. The other review [A] focused on different applications of nanofluids, and this review examines nanolubricants and nanorefrigerants with specific applications in refrigeration systems. The portions that are similar do not affect the major technical review contents or the different technical review scopes�and are mainly background and supporting materials in this review. We did not intend to have an issue with similarity�and we apologize for any inconvenience this has caused the readers and the journal. In order to ensure that this similarity is addressed, we are providing the following changes to this review: The authors provide the following revision to heading 1.0 Introduction, first and second paragraphs (because this written material is very important as originally written to this review we have provided it in quotation marks): �Nanofluids are new class of heat transfer fluids where nano-sized particles (1�100 nm) of metals or metal oxides are suspended in base-fluids to improve the heat transfer performance in various applications. One unique feature of the nanofluid is that its thermal conductivity is higher than the base-fluids due to nano-sized suspended solid particles into the base-fluids. There is more heat transfer surface between fluid and particles due to high specific surface area of nanofluids. Brownian motion made the better dispersion stability of nanofluids. Low pumping power is required due to heat transfer intensification of nanofluids. Less tendency of particle clogging in the flow channel for the nanofluids and system can me made compact or miniaturized for this reason. Properties can be adjusted or fined tuned with the concentrations of nano-particles to suit specific applications [A])� Heading 3.0 Thermal conductivity of nanofluids, first, second, third and fourth paragraph to be replaced with Thermal conductivity is an important parameter that plays a great role for heat transfer performance improvement for various applications in refrigeration and air conditioning systems. Eastman et al. [24] reported 40% improvement of 0.3% copper nanoparticles with ethylene glycol nanofluids compared to base-fluids. Liu et al. [6] reported 23.8% improvement in thermal conductivity with 0.1% of copper nanoparticles with base-fluids. Hwang et al. [25] explained that thermal conductivity improvement of nanofluids is significantly influenced by thermal conductivity of nanoparticles and base-fluid. However, surface to volume ratio of nanoparticles found to be a dominant factor for the thermal conductivity improvement according to Yoo et al. [26]. About 150% thermal conductivity improvement was reported by Choi et al. [27] for poly oil with MWCNT with 1% volume fraction. However, Yang [28] reported 200% improvement of thermal conductivity for the same oil but with 0.35% MWCNT. Jana et al. [29] reported 70% thermal conductivity improvement for cu nanoparticles in water with 0.3% concentration. About 75% thermal conductivity improvement was reported by Kang et al. [30] for ethylene glycol with 1.2% diamond nanoparticles. However, there are findings on the thermal conductivity in the literature that shows anomalous results [31�34]. Thermal conductivity is influenced by pH, addition of surfactant, stability of nanofluids, temperature, volume fraction, size, shape of nano-particles as well [11,35�38]. These are also explained in Figs. 5 and 6 [A]. Higher cooling rates, decreased pumping power needs, smaller and lighter cooling systems, reduced inventory of heat transfer fluids, reduced friction coefficients, and improved wear resistance are the resulting benefits of improved thermal conductivities of various nanofluids used in different applications. These made nanofluids highly potential as refrigerants, coolants, lubricants, hydraulic and cutting fluids. Heading 11, Challenges of nanofluids to be replaced with Since 1993, huge amount of interesting research works on the thermos-physical, rheological, chemical, and optical properties of nanofluids/nano-refrigerants were reported in the literature. Along with these properties, many applications of nanofluids were also reported in the literature. However, there are number of challenges that need to be overcome. Those are listed below: Heading 11.1 Long term stability to be replaced with Long term stability of nanofluids is one of the important requirements for the various applications as reported in the literatures. However, this is one of the major challenges as they aggregate due to van der wall forces. Addition of surfactant, surface modification of nanoparticles, application of strong force on the clusters of suspended particles have been found to improve this characteristics of nanofluids. However, excessive amount of surfactant is detrimental for the thermos-physical, rheological, chemical properties of nanofluids and should be used with great care and control [81,84,87�88,90]. Time is an important factor that also influence dispersion behaviour of nanofluids as shown in Figs. 17 and 18 [A]. Eastman et al. [24] reported better thermal conductivity for the fresh nanofluids compared to the nanofluids stored for 2 months. Lee and Mudawar [77] also reported similar trend for the Al2O3 nanofluids. Heading 11.2 Higher viscosity to be replaced with Viscosity of water based nanofluids found to be increased with the higher concentration of nanoparticles. This raises the pressure drop across the cooling channel. Therefore, large volume of nanofluids in heat exchangers with nanofluids is not a good option according to Lin et al. [65]. Vassallo et al. [20] reported that concentration of CNTs should be less than 0.2% to avoid rapid increase in viscosity. Heading 11.3 Lower specific heat to be replaced with Praveen et al. [76] mentioned that some of the nanofluids has lower specific heat compared to base-fluids. This is undesirable for some specific applications as specific heat capacity should be higher to remove more heat. Heading 11.4 Thermal conductivity model to be replaced with Hamilton-Crosser, Yu-Choi and Xue models cannot predict thermal conductivity of CNTs accurately as mean deviation is quite high [11]. Heading 11.5 High cost of nanofluids to be replaced with Nanofluids or nanoparticles are produced either by one or two step methods which are expensive methods. High cost of nanofluids preparation is one of the challenges for various applications of nanofluids [77,79]. Heading 11.6 Difficulties in production process to be replaced with Reduction reactions or ion exchange take place during the production of nanoparticles by one or two step methods. Base-fluids also contain other ions and reaction products which are difficult to separate from the fluids. Nanoparticles tend to agglomerate with larger particles during the manufacturing process and this consequently limits the benefits of high surface area of nanoparticles. To avoid this, some additives can be added. However, this may lead to some unacceptable level of impurities in the prepared nanofluids. Along with these issues, synthesis, characterization, thermos-physical properties, heat and mass transfer issues need to be taken care as well [92�93]. New reference [A] Saidur R, Leong KY, Mohammad HA. A review on applications and challenges of nanofluids. Renew Sustain Energy Rev, 15; 2011, 1646�1668. Again, the authors would like to apologise for any inconvenience caused by these required corrections. We appreciate the opportunity to clarify this situation. DOI of original article: <https://doi.org/10.1016/j.rser.2010.08.018> � 2018
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Corrigendum to �Compatibility of household appliances with DC microgrid for PV systems� [Heliyon 6 (12), (December 2020) Article e05699] (Heliyon (2020) 6(12), (S2405844020325421), (10.1016/j.heliyon.2020.e05699))
(Elsevier Ltd, 2021)
Sabry A.H.
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Shallal A.H.
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Hameed H.S.
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Ker P.J.
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56602511900
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55026822900
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57202363314
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37461740800
In the original published version of this article, the Funding Statement was erroneously recorded as �This work was supported by Universiti Tenaga Nasional for the UNIIG fund (Project Code: J510050802)�. The correct Funding Statement, �This work was supported by the Universiti Tenaga Nasional Internal Grant (Project code: RJO10517844/054) and the BOLD Refresh Publication Fund 2021 (J5100D4103)� has now been recorded. The authors apologize for the errors. Both the HTML and PDF versions of the article have been updated to correct the errors. � 2020 The Author(s)
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Corrigendum to �Interleaved step-up soft-switching DC�DC Boost converter without auxiliary switches� [Energy Rep. 8 (2022) 6499�6511, (Energy Reports (2022) 8(6499-6511) (S2352484722008320), (10.1016/j.egyr.2022.04.069))
(Elsevier Ltd, 2022)
Rezvanyvardom M.
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Mirzaei A.
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Shabani M.
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Mekhilef S.
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Rawa M.
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Wahyudie A.
;
Ahmed M.
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36988238600
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36809806700
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57204861897
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57928298500
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55290678700
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35306119500
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56295059300
The authors regret . The authors would like to apologise apologize for any inconvenience caused. � 2022
4
Erratum :Gradient auto-tuned Takagi-Sugeno Fuzzy Forward control of a HVAC system using predicted mean vote index (Energy and Buildings (2012) 49 (254-267))
(Elsevier Ltd, 2014)
Homod R.Z.
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Sahari K.S.M.
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Almurib H.A.F.
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Hafiz Nagi F.
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36994633500
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57218170038
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35305238400
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56373028000
[No abstract available]
3
Erratum: Accelerated thermal cycle and chemical stability testing of Polyethylene glycol (PEG) 6000 for solar thermal energy storage (Solar Energy Materials and Solar Cells (2016) 147 (235-239) DOI: 10.1016/j.solmat.2015.12.023)
(Elsevier, 2016)
Sharma R.K.
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Ganesan P.
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Tyagi V.V.
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Mahlia T.M.I.
;
Mehrali M.
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56424398200
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55329358900
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15078199200
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56997615100
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57190658824
[No abstract available]
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Retraction notice to �Thermal study on non-Newtonian fluids through a porous channel for turbine blades� [Case Stud. Therm. Eng. 49 (2023) 103185] (Case Studies in Thermal Engineering (2023) 49, (S2214157X23004914), (10.1016/j.csite.2023.103185))
(Elsevier Ltd, 2023)
Zhu C.-Z.
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Nematipour M.
;
Bina R.
;
Fayaz H.
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57205421992
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58367458600
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58366758700
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58494763000
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief. In investigating concerns brought up regarding the authorship of the article, the editor reached out to the authors for an explanation. In addition to the concerns originally raised, the editor discovered suspicious changes in authorship between the original submission and the revised version of this paper. In summary, two (2) authors were removed, and three (3) authors�Chao-zhe Zhu (new first author)
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