Improvement of a new acoustic emission analysis technique to determine the activated carbon saturation level: A comparative study

Peacok, Thayset Mariño; Sariol, Harold Crespo; Yperman, Jan; Roca, Ángel Sánchez; Carleer, Robert; Torres, Jeamichel Puente; Reggers, Guy; Haeldermans, Tom; Thijssen, Elsy; Samyn, Pieter; Gryglewicz, Grażyna; García, Liset Salomón

doi:10.1016/j.jece.2020.103794

Cited by 4 publications

(4 citation statements)

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“…On the other hand, exhausted GAC was used in order to study dynamic regeneration. The surface area, total pore volume and micropore volume of the exhausted GAC sample (GAC-Exh) are 196 m 2 /g, 0.103 cm 3 /g and 0.077 cm 3 /g, respectively, and its ash content is 25.59% [40].…”

Section: Gac Samplesmentioning

confidence: 99%

“…In this research, synthetic water with a total hardness of 500 mg CaCO 3 /L was applied. This high total hardness (comparable with the industrial water to be treated [40]) was used with the aim of obtaining shorter saturation times during the exhaustion of the GAC in order to validate the proposed economic tool.…”

Section: Synthetic Watermentioning

confidence: 99%

“…Calcium was the major element in the exhausted GAC samples applied in this power plant [40]; therefore, to simulate the process of exhaustion in laboratory conditions, synthetic water was used to saturate the GAC samples. The solutions were prepared according to Section 2.3.…”

Section: Adsorption (Exhaustion) Experimentsmentioning

confidence: 99%

“…One of the main units in the WTU is the GAC adsorbent, which adsorbs undesired compounds present in the water (organics, chlorine, Ca and Mg carbonates and metal ions). It has been demonstrated that the GAC filter removes ions of Ca, Al, Fe, Mn and Mg in significant amounts during exploitation; however, CaCO 3 is the calcium species present in the highest concentration in the GAC while organics are only present in trace amounts [40]. Recent publications demonstrate that the use of HCl can efficiently regenerate AC exhausted with the mentioned compounds [41].…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Tool Based on Breakthrough Curves to Evaluate the Economic Advantages of Chemical Regeneration of Activated Carbon in Power Plants: A Comparative Study

et al. 2021

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A mathematical tool has been developed to evaluate the economic advantages of in-situ chemical regeneration of fixed-bed industrial adsorbers of granular activated carbon for cooling water treatment systems in Cuban power plants. Two scenarios of activated carbon (AC) management in a power plant were compared by applying the proposed model. The economic profit by implementing the regeneration strategy as a function of the number of regeneration cycles was determined and optimized. Breakthrough curves were obtained to assess the adsorption performance of the AC after progressive saturation–chemical regeneration cycles using synthetic water and hydrochloric acid, respectively. For the first saturation cycle, the breakthrough time was 272 min and after 10 cycles, it was reduced to 58 min, indicating a decrease of the adsorption capacity of 21%. The AC adsorption performance in terms of saturation time as a function of the number of regeneration cycles was considered one of the tool parameters. The proposed tool allows to determine the optimal number of regeneration cycles for a maximum economic profit in the regeneration strategy. It was demonstrated, using the proposed tool, that after an optimum of seven regeneration cycles, the power plant expends only 26% of the total investment. The simplicity of the tool permits a rapid way to find the most profitable number of regeneration cycles by combining economic, technical and adsorption efficiency parameters in one function, thus improving the AC management strategy at an industrial scale with corresponding environmental and economic advantages, including sustainability.

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Section: Gac Samplesmentioning

confidence: 99%

Section: Synthetic Watermentioning

confidence: 99%

Section: Adsorption (Exhaustion) Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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