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Institution

GMR Institute of Technology

About: GMR Institute of Technology is a based out in . It is known for research contribution in the topics: Electric power system & Biodiesel. The organization has 616 authors who have published 891 publications receiving 6385 citations.


Papers
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Journal ArticleDOI
01 Jan 2021-Fuel
TL;DR: In this paper, a review of pyrolytic processes employed for the conversion of algal biomass into biochar and bio-oil production is presented. And the challenges arising out of using above-said pyroglysis methods were critically highlighted to pave the way to choose an appropriate pyro-lysis method for obtaining desirable quantity and quality of biooil from algae.

152 citations

Journal ArticleDOI
TL;DR: A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper.
Abstract: Cyber-Physical System (CPS) is a new kind of digital technology that increases its attention across academia, government, and industry sectors and covers a wide range of applications like agriculture, energy, medical, transportation, etc. The traditional power systems with physical equipment as a core element are more integrated with information and communication technology, which evolves into the Cyber-Physical Power System (CPPS). The CPPS consists of a physical system tightly integrated with cyber systems (control, computing, and communication functions) and allows the two-way flows of electricity and information for enabling smart grid technologies. Even though the digital technologies monitoring and controlling the electric power grid more efficiently and reliably, the power grid is vulnerable to cybersecurity risk and involves the complex interdependency between cyber and physical systems. Analyzing and resolving the problems in CPPS needs the modelling methods and systematic investigation of a complex interaction between cyber and physical systems. The conventional way of modelling, simulation, and analysis involves the separation of physical domain and cyber domain, which is not suitable for the modern CPPS. Therefore, an integrated framework needed to analyze the practical scenario of the unification of physical and cyber systems. A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper. A review of different types of cyber-attack detection and mitigation control schemes for the practical power system is presented in this paper. The status of the research in CPPS around the world and a new path for recommendations and research directions for the researchers working in the CPPS are finally presented.

147 citations

Journal ArticleDOI
TL;DR: In this article, the potential of raw pine cone (PC) biochar and its modified form (Zn-loaded biochar) was evaluated for the removal of trivalent arsenic [As(III)] from the aqueous solution.
Abstract: The potential of raw pine cone (PC) biochar and its modified form (Zn-loaded biochar) was evaluated for the removal of trivalent arsenic [As(III)] from the aqueous solution. The influence of treatment of PC biochar with Zn(NO3)2 on the physico-chemical properties of biochar was examined using elemental analyzer, surface area analyzer, thermo-gravimetric analyzer, Fourier transform infrared spectroscopy, and scanning electron microscopy. Experimental results revealed that the removal of As(III) was almost consistent (66.08 ± 3.94 and 87.62 ± 3.88 % on raw and Zn-loaded biochar, respectively) over an acidic pH range of 2–4 as a consequence of high affinity between the positively charged biochar surface and the predominant arsenic species (H3AsO3 and H2AsO4 −), followed by a decrease with increase in pH in the range of 4–12. Langmuir isotherm model was well fitted to the experimental equilibrium data (R 2 = 0.93) rendering the maximum adsorption capacity of 5.7 and 7.0 μg g−1 on raw and Zn-loaded PC biochar, respectively. The adsorption of As(III) was well represented by pseudo-second order with reaction rate constant (k 2) of 0.040 and 0.282 mg g−1 min on raw and zinc-loaded PC biochar, respectively, and was mainly controlled by boundary layer diffusion followed by some extent of intra-particle diffusion. The adsorption process was spontaneous with Gibb’s free energy (ΔG°, −4.42 ± 0.72 and −11.86 ± 1.78 kJ mol−1) and exothermic in nature with enthalpy (ΔH°, 13.25 and 31.10 kJ mol−1) and entropy (ΔS°, 0.058 and 0.141 kJ mol−1 K−1) for raw and zinc-loaded adsorbent, respectively.

135 citations

Journal ArticleDOI
12 Aug 2020-Optik
TL;DR: A new algorithm named as Slime Mould Algorithm (SMA) is presented for the solar cell estimation, which has a new feature called as an exceptional mathematical model with adaptive weights to simulate negative and positive feedback of the propagation wave to find the best path for attaching food with an excellent exploitation tendency and exploratory capacity.

127 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a comprehensive overview of this body of literature from an environmental perspective and highlight areas for future work that could help ensure that nanofluids have a net positive environmental impact in renewable energy systems going forward.

127 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202214
2021195
2020130
201990
201871
201762