Assessment of Energy-Saving Potential of an Automated Ion-Exchange System in Hydrogen Conductivity Measurement at Thermal Power Plants
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Abstract
To overcome the problems of acid regeneration of the conventional cation exchange resin (CXR) column, long flushing time, high labor hours for maintenance and high consumption of resources involved in hydrogen conductivity measurement in a thermal power plant, an automated ion exchange system was designed and validated at 20 water and steam measurement points of Units 1 and 3 of a coal-fired power plant. It combines the continuous electrical regeneration with closed loop flow control, on line parameter acquisition and fault protection logic. An energy-saving potential evaluation model was created for resin, hydrochloric acid, rinse water, waste liquid, labour hours and operational electricity consumption. The results indicate that the NH+4 removal rate remained stable at 99.90%–99.94%, the stabilization time of the hydrogen conductivity was shortened from 44-76 min to 12-19 min and the annualized operation and maintenance cost decreased from from 166, 800 CNY/year to 23, 600 CNY/year (reduction rate 85.9%). Automated continuous electro-regeneration ion exchange (CEIX) is a reliable, quantifiable and low energy consumption pretreatment system for continuous hydrogen conductivity measurement in thermal power plants.
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References
Y. Nakatsuchi, A. Hamasaki, H. Kido, et al., “Novel identification method of sea-water contamination in the steam-water circuit, including carbon dioxide, in power plants based on pH, specific conductivity, and cation conductivity,” J. Chem. Eng. Jpn., vol. 56, no. 1, Art. no. 2238770, 2023, doi: 10.1080/00219592.2023.2238770.
S. Vidojkovic, M. Mijajlovic, R. E. F. Lindeboom, et al., “Thermal stability of film-forming amine-based corrosion inhibitors in high-temperature power plant water solutions,” Energy Sci. Eng., vol. 12, no. 1, pp. 304–328, 2024, doi: 10.1002/ese3.1625.
N. Ida, J. Tani, and H. Kawamura, “Applicability of hydrazine alternatives to water treatment in power plants: Effects of hydrazine alternatives and decomposition products on water properties and corrosion of carbon steel,” Corrosion, vol. 80, no. 11, pp. 1069–1080, 2024, doi: 10.5006/4621.
C. Cassaro, G. Virruso, A. Culcasi, et al., “Electrodialysis with bipolar membranes for the sustainable production of chemicals from seawater brines at pilot plant scale,” ACS Sustain. Chem. Eng., vol. 11, no. 7, pp. 2989–3000, 2023, doi: 10.1021/acssuschemeng.2c06636.
M. Herrero-Gonzalez, J. López, G. Virruso, et al., “Analysis of operational parameters in acid and base production using an electrodialysis with bipolar membranes pilot plant,” Membranes, vol. 13, no. 2, Art. no. 200, 2023, doi: 10.3390/membranes13020200.
G. Virruso, C. Cassaro, A. Tamburini, et al., “Performance evaluation of an electrodialysis pilot plant with bipolar membranes operated in feed & bleed mode,” Chem. Eng. Trans., vol. 105, pp. 73–78, 2023, doi: 10.3303/CET23105013.
Ö. Tekinalp, P. Zimmermann, S. Holdcroft, et al., “Cation-exchange membranes and process optimizations in electrodialysis for selective metal separation: A review,” Membranes, vol. 13, no. 6, Art. no. 566, 2023, doi: 10.3390/membra nes13060566.
S. Kikuchi, S. Hirao, S. Kayakiri, et al., “Study on efficient operating conditions for bipolar membrane electrodialysis using different ion species and anion-exchange membranes,” Membranes, vol. 14, no. 12, Art. no. 262, 2024, doi: 10.3390/memb ranes14120262.
G. Hopsort, Q. Cacciuttolo, and D. Pasquier, “Electrodialysis as a key operating unit in chemical processes: From lab to pilot scale of latest breakthroughs,” Chem. Eng. J., vol. 494, Art. no. 153111, 2024, doi: 10.1016/j.cej.2024.153111.
S. K. Patel, B. Lee, P. Westerhoff, et al., “The potential of electrodialysis as a cost-effective alternative to reverse osmosis for brackish water desalination,” Water Res., vol. 250, Art. no. 121009, 2024, doi: 10.1016/j.watres.2023.121009.
J. T. Y. Bessette, S. R. Pratt, and V. A. G. Winter, “Direct-drive photovoltaic electrodialysis via flow-commanded current control,” Nat. Water, vol. 2, no. 10, pp. 1019–1027, 2024, doi: 10.1038/s44221-024-00314-6.
S. Sanjay and K. Jayamoorthy, “Sustainable desalination through electrodeion-ization: Innovations and focus on efficient carbonate ion removal—a comprehensive review,” Environ. Technol. Rev., vol. 13, no. 1, pp. 699–721, 2024, doi: 10.1080/21622515.2024.2417852.
A. A. Oladipo and M. Ahmad, “Energy-efficient ion recovery from water using electro-driven membranes: A comprehensive critical review,” Water, vol. 17, no. 16, Art. no. 2456, 2025, doi: 10.3390/w17162456.
M. Miller, A. Kisiel, D. Cembrowska-Lech, et al., “IoT in water quality monitoring—Are we really there yet?” Sensors, vol. 23, no. 2, Art. no. 960, 2023, doi: 10.3390/s23020960.
Y. Singh and T. Walingo, “Smart water quality monitoring with IoT wireless sensor networks,” Sensors, vol. 24, no. 9, Art. no. 2871, 2024, doi: 10.3390/s24092871.
M. Kumar, K. Khamis, R. Stevens, et al., “In-situ optical water quality monitoring sensors—applications, challenges, and future opportunities,” Front. Water, vol. 6, Art. no. 1380133, 2024, doi: 10.3389/frwa.2024.1380133.
K. Lal, S. Menon, F. Noble, et al., “Low-cost IoT-based system for lake water quality monitoring,” PLoS ONE, vol. 19, no. 3, Art. no. e0299089, 2024, doi: 10.1371/journal.pone.0299089.
M. A. Murti, A. R. A. Saputra, I. Alinursafa, et al., “Smart system for water quality monitoring utilizing long-range Internet of Things,” Appl. Water Sci., vol. 14, no. 4, Art. no. 69, 2024, doi: 10.1007/s13201-024-02128-z.
P. Chandramenon, A. Gascoyne, L. Naughton, et al., “Making aquaponics more sustainable using worms and water replenishment combined with a sensing- and IoT-based monitoring system,” Appl. Sci., vol. 14, no. 18, Art. no. 8516, 2024, doi: 10.3390/app14188516.
S. Khalid, J. Song, I. Raouf, et al., “Advances in fault detection and diagnosis for thermal power plants: A review of intelligent techniques,” Mathematics, vol. 11, no. 8, Art. no. 1767, 2023, doi: 10.3390/math11081767.