Determining the source data to form a control algorithm for hydrogen generators
DOI:
https://doi.org/10.15587/1729-4061.2019.181417Keywords:
hydrogen generator, source data, frequency characteristics, test-problem, approximation errorAbstract
Constructing an algorithm to control the technical condition of hydrogen generators employs using their amplitude-frequency and phase-frequency characteristics as the source data. Applying the classic method for defining such characteristics predetermines several drawbacks. One of the significant disadvantages is the long time required to form an array of source data. To shorten this time, determining the frequency characteristics of a hydrogen generator is carried out based on the results of measuring its transition function over discrete moments of time. During these time moments, the transition function is approximated by the Heaviside functions. Such an approach reduces the time for determining the frequency characteristics of a hydrogen generator by 1–2 orders. Applying the Kotelnikov–Nyquist–Shannon theorem for determining these discrete time moments is due to uncertainty about the maximum frequency of the test-signal spectrum.
To avoid this uncertainty, discrete time moments for measuring the transitional function of a hydrogen generator are chosen under condition for the permissible error of its approximation.
The error of approximation is determined based on the result from solving a test-problem that uses model characteristics as a standard for the frequency characteristics. It has been shown that at a sampling interval of (0.25¸2.5) ms the magnitude of such an error does not exceed 1.7 %.
Inertial properties of the device that forms a test-impact have been taken into consideration. It has been shown that it is appropriate to apply such a procedure if the equivalent time constant of such a device exceeds the magnitudes of time constants for a hydrogen generator. The inertial properties are taken into consideration by introducing an additional multiplier, which contains the equivalent time constant of the device, to the analytical expressions for the frequency characteristics of a hydrogen generator
References
- Dli, M. I., Baliabina, A. A., Drozdova, N. V. (2016). Hydrogen energy and development prospects. Alternative Energy and Ecology (ISJAEE), 22, 37–41. doi: https://doi.org/10.15518/isjaee.2015.22.004
- Rodchenko, V. V., Galeev, A. G., Popov, B. B., Galeev, A. V. (2015). Study of security systems of oxygen-hydrogen propulsion plant test on the stand. Alternative Energy and Ecology (ISJAEE), 20, 42–52. doi: https://doi.org/10.15518/isjaee.2015.20.005
- Galeev, A. G. (2017). Review of engineering solutions applicable in tests of liquid rocket engines and propulsion systems employing hydrogen as a fuel and relevant safety assurance aspects. International Journal of Hydrogen Energy, 42 (39), 25037–25047. doi: https://doi.org/10.1016/j.ijhydene.2017.06.242
- Rusman, N. A. A., Dahari, M. (2016). A review on the current progress of metal hydrides material for solid-state hydrogen storage applications. International Journal of Hydrogen Energy, 41 (28), 12108–12126. doi: https://doi.org/10.1016/j.ijhydene.2016.05.244
- Ley, M., Meggouh, M., Moury, R., Peinecke, K., Felderhoff, M. (2015). Development of Hydrogen Storage Tank Systems Based on Complex Metal Hydrides. Materials, 8 (9), 5891–5921. doi: https://doi.org/10.3390/ma8095280
- Lototskyy, M. V., Davids, M. W., Tolj, I., Klochko, Y. V., Sekhar, B. S., Chidziva, S. et. al. (2015). Metal hydride systems for hydrogen storage and supply for stationary and automotive low temperature PEM fuel cell power modules. International Journal of Hydrogen Energy, 40 (35), 11491–11497. doi: https://doi.org/10.1016/j.ijhydene.2015.01.095
- Dmitriev, A. L., Ikonnikov, V. K. (2017). Hydrogen fueling station using hydrogen generation by aluminum powder hydrothermal oxidation. Alternative Energy and Ecology (ISJAEE), 10-12, 75–85. doi: https://doi.org/10.15518/isjaee.2017.10-12.075-085
- Abramov, Y. A., Krivtsova, V. I. (2017). To determine the technical state of the gas generator of the hydrogen storage and supply system. Problems of Emergencies, 26, 3–10.
- Lototskyy, M. V., Tolj, I., Parsons, A., Smith, F., Sita, C., Linkov, V. (2016). Performance of electric forklift with low-temperature polymer exchange membrane fuel cell power module and metal hydride hydrogen storage extension tank. Journal of Power Sources, 316, 239–250. doi: https://doi.org/10.1016/j.jpowsour.2016.03.058
- Sabadosh, L., Larkov, S., Kravchenko, O., Sereda, V. (2018). Increasingly Safe, High-Energy Propulsion System for Nano-Satellites. Transactions on Aerospace Research, 2018 (4), 38–44. doi: https://doi.org/10.2478/tar-2018-0028
- Kotowicz, J., Bartela, Ł., Węcel, D., Dubiel, K. (2017). Hydrogen generator characteristics for storage of renewably-generated energy. Energy, 118, 156–171. doi: https://doi.org/10.1016/j.energy.2016.11.148
- Zhao, L., Brouwer, J. (2015). Dynamic operation and feasibility study of a self-sustainable hydrogen fueling station using renewable energy sources. International Journal of Hydrogen Energy, 40 (10), 3822–3837. doi: https://doi.org/10.1016/j.ijhydene.2015.01.044
- Kudryavtsev, P. G., Figovsky, O. L. (2016). System of storage and hydrogen generation for power propulsion systems and cars. Alternative Energy and Ecology (ISJAEE), 13-14, 46–55. doi: https://doi.org/10.15518/isjaee.2016.13-14.046-055
- Abramov, Y., Borisenko, V., Krivtsova, V. (2017). Design of control algorithm over technical condition of hydrogen generators based on hydro-reactive compositions. Eastern-European Journal of Enterprise Technologies, 5 (8 (89)), 16–21. doi: https://doi.org/10.15587/1729-4061.2017.112200
- Abramov, Y. A., Basmanov, O. E., Salamov, J., Mikhayluk, A. A. (2018). Model of thermal effect of fire within a dike on the oil tank. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2, 95–101. doi: https://doi.org/10.29202/nvngu/2018-2/12
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Yuriy Abramov, Oleksii Basmanov, Valentina Krivtsova, Andrey Mikhayluk, Oleksandra Mikhayluk
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.
