Introduction

Topics related to greenhouse gas emissions have become important for the power generation sector due to climate change policy and the adoption of laws promoting reductions of greenhouse gas emissions in a cost-effective and economically efficient manner. Implementation of the greenhouse gas emission policies would cause increases in the price of energy due to high costs of carbon capture and storage (CCS) technologies. To reduce the negative impact of CCS on energy prices, new technologies that reduce the energy demand of the process have been extensively researched (Bandyopadhyay 2010; Damartzis et al. 2014) or alternative methods of CO2 emissions reduction have been analyzed (Maroušek et al. 2014). This paper addresses the presentation of a mobile amine carbon capture pilot plant. The mobile pilot plant was designed as a flexible unit that was suitable for the validation of flowsheets or solvent modifications and the investigation of the influence of different process variants on CO2 recovery and process energy demand.

The Institute for Chemical Processing of Coal in cooperation with industrial partners, TAURON Polska Energia S.A. and TAURON Wytwarzanie S.A., designed, erected, and operated the carbon capture pilot plant. The pilot plant was based on an amine post-combustion process and was designed as a mobile unit (Fig. 1), providing the opportunity to test the process in various locations.

Fig. 1
figure 1

Carbon capture pilot plant during tests at the Łaziska Power Plant in Łaziska Górne, Poland

The pilot plant consisted of three containers: technological, storage, and supervision. Containers, having typical dimensions, allowed fast shipment and installation. This flexibility of the mobile pilot plant allowed tests on different power plants or even on other sources of flue gases. The pilot plant provided the opportunity to test the deep desulfurization of flue gases and carbon dioxide capture using chemical absorption in an amine solution. The research has focused on the effects of the variation of the following parameters on the process: the pressure and temperature of absorption and desorption, L/G optimization, the influence of splitting of rich and lean amine solution streams, and inter-heating of the stripper.

In 2013, the pilot plant was transported and connected to TAURON’s Łaziska Power Plant in Łaziska Górne, Poland, where, overall, 550 h of tests were conducted using a baseline solvent, monoethanolamine (MEA) solution (Krótki et al. 2014). More than 19,000 kg of CO2 was captured during the campaigns. In this article, selected results from tests verifying plant functionality in the basic process configuration (no streams split) are summarized. In addition to the results, the test procedures and analytical methods utilized are presented.

CO2 absorption pilot plant

Process description

The pilot plant was connected to a 225 MWe hard coal-fired boiler at the Łaziska Power Plant in Łaziska Górne, Poland. The flue gas stream was extracted downstream of the power plant’s desulphurization unit. The typical flue gas parameters were as follows: flue gas flow, 200 m3N/h; CO2 content, 11–13 vol%; SO2 content, max. 200 mg/m3; temperature, up to 99 °C; and pressure, atmospheric.

The flue gas was cooled and dedusted in a direct water scrubber and sweetened in a desulfurization column where SO2 was removed (deep desulfurization unit). The solvent used for desulfurization contained sodium bicarbonate and maintained the SO2 concentration in the flue gas below 20 mg/m3 to avoid solvent degradation and to decrease the corrosivity of the solution (Zhou et al. 2013). Next, the gas entered the absorber bottom and flowed upward through the packing where the CO2 chemically reacted with lean amine solution to remove most of the CO2. Tables 1 and 2 provide information on the columns used in the pilot plant, including the packing materials.

Table 1 Overview of process parameters analyzed in this paper
Table 2 Column size, packing heights, and packing elements at the mobile pilot plant

The treated gas was passed through a water wash at the absorber top to cool and separate excess water and then was vented through the top of the absorber and back to the power plant stack. A low amount of fresh water is added into the washing water recycle stream to avoid a prohibitive accumulation of amine in the washing section and to compensate water losses.

The plant provides a possibility of solvent stream splitting (Fig. 2); however, the tests presented in this paper were conducted in the basic configuration and the semi-lean solvent line was not used.

Fig. 2
figure 2

Process flow diagram of the carbon capture unit of the pilot plant (Szczypiński et al. 2013)

A rich amine solution is pumped from the bottom of the absorber into the stripper through rich lean heat exchanger, allowing heat transfer from the hot lean solution to the colder rich solution. The lean solution was pumped back to the absorber, and during heat transfer it was cooled to 40 °C and filtered. In Fig. 2 additional line of rich solvent, bypassing heat exchangers, can be noticed. Using this line, small portion of rich solvent remains unheated and enters the top of the stripper. This stream is heated by condensing steam in the column which would normally be lost from the stripper. Reducing the losses of the steam and heating of a portion of amine reduce the overall energy requirements of the process. The flow rate of the unheated rich solvent was held constant at 100 dm3/h during the operation.

The bottom of the stripper had built-in electrical heating elements for evaporation of the solvent. Hot solvent vapors were used for the regeneration and separation of the CO2 from the rich amine. Hot gases (containing mainly water vapors and CO2) leaving the stripping section entered the condenser section at the top of the column where part of the water was removed. An additional condenser downstream of the column was installed where the remaining portion of water was removed and almost pure CO2 was obtained. To intensify the amine regeneration process, the mobile pilot plant stripper had two additional build-in heat exchangers for inter-heating in the stripper. The application of the internal heat exchanger was default in the pilot plant; therefore, it was always operating during the tests presented in this paper. For a more detailed description of the pilot plant and its operation, see Tatarczuk et al. (2013) and Stec et al. (2015).

Analytics

During the test campaigns, typical solvent analysis was performed on site in a laboratory section that was separated from the supervision container. The most important parameters, such as the pH of the desulfurization solution and the CO2 concentration in the gas, were monitored online.

The quality of the desulfurization solution was measured by means of pH meters located downstream of the pumps that circulated the solution. If the pH of the solvent fell below 6, it was replaced to guarantee that the SO2 concentration in the gas entering the absorber was below 20 mg/m3 to avoid amine solvent degradation.

Gas samples were taken continuously during the operation of the pilot plant. Gas sampling probes were installed downstream and upstream of the desulfurization columns of the absorber and of the stripper. Additionally, the gas was sampled in the middle of the absorber’s height. The gas samples were transferred to Siemens Ultramat 23 analyzers to measure the concentrations of CO2, SO2, NO2 or NO, and O2. The analyzers simultaneously measured CO2, SO2, NO2, or NO with infrared detection and O2 with an electrochemical oxygen-measuring cell. The measurements of the CO2 concentration downstream and upstream of the absorption column were the most important and allowed for the calculation of CO2 recovery.

Acid–base titration was used to check the monoethanolamine (MEA) concentration in the solvent (Hartono et al. 2013). The solvent sample was titrated with 2 M hydrochloric acid (HCl), and the pH of the solution was continuously monitored during titration. The titration was straightforward because one mole of hydrochloric acid reacted with one mole of monoethanolamine, and one mole of amine salt was created. The titration end point occurred at pH 3.4–3.8 for a 30 wt% aqueous MEA solution. A WTW Profi Line pH 3110 pH meter was used during the titration procedure. The hydrochloric acid was standardized by titration against a standard solution of potassium hydroxide (KOH).

The CO2 loading of the solution was estimated from the density change. If the temperature and concentration of amine in sorbent are constant, the density of the solution depends only on the content of dissolved CO2. Hence, if the density of a sample is known, CO2 loading can be determined based on a known standardization curve (Hartono et al. 2014).

Operation experience and results

Methodology of experiments

Within 2013, over 550 h of tests were conducted at the pilot plant. The activities at the pilot plant were divided into the following major tasks:

  • May 2013—startup of the pilot plant,

  • June 2013–July 2013—plant tuning and initial tests, and

  • August 2013–November 2013—significant test campaigns.

Each test campaign lasted approximately 100 h of continuous operation. The campaigns were divided into shorter periods during which the influence of different process parameters was investigated. Changing the process parameters caused serious disturbances; therefore, it was very important to allow the plant to reach steady state. The analyses presented in this paper were carefully selected from a database of trends registered in the supervisory control and data acquisition (SCADA) system. The tests were recognized as valuable when the steady-state period lasted at least 2 h. For balancing or performance estimation, the average of each parameter from the steady-state period was used for further calculations.

Unlike in the laboratory tests, the number of parameters influencing the process at the pilot plant was considerable. Therefore, comparing the tests is challenging. The authors decided not to analyze every test separately but to emphasize the common dependencies for each test. This approach seemed reasonable for industrial-like processes where changes in parameters having serious impacts on the process (such as the CO2 concentration in the flue gas) must be treated as disturbances. A summary of the process parameters of pilot plant tests presented in this paper is provided in Table 3. A more detailed analysis of the results is presented in subsequent sections.

Table 3 Summary of the process parameters for the presented pilot plant tests

Temperature and CO2 concentration profiles

Figure 3 shows temperature and CO2 concentration profiles as a function of the packing height of the absorber. The experiments were conducted with the basic process configuration (no streams split) at an L/G ratio of 4.6 for test 20 and 3.9 for test 2. Approximately 215 m3N/h of flue gases were treated in the pilot plant to achieve a CO2 recovery of 84.4 % (test 20) and 92.5 % (test 2). Remaining process parameters for the tests are summarized in Table 3. The lean solution that entered the absorber was cooled to 40 °C during both tests, and the highest temperature in absorber (the temperature bulge) reached approximately 60 and 75 °C for tests 20 and 2, respectively. As the CO2 was absorbed in the solvent, the temperature in the incoming solvent increased (Kvamsdal and Rochelle 2008). The temperature increase clearly indicated the exothermic effect of CO2 absorption with MEA. The colder lean solvent that entered the column in the upper part caused water condensation. The resulting temperature profiles along the column showed a pronounced bulge. The higher magnitude of the temperature bulge in case of test 2 could be explained by the higher amount of CO2 absorbed and slightly lower solvent-to-gas ratio in comparison to the test 20. The profiles were in accordance with the results shown by Mangalapally et al. (2012).

Fig. 3
figure 3

Temperature and CO2 concentration profiles in the absorber column. The lines serve only to join the data

In addition to the colder lean solvent, the temperature decrease at the top of the absorber was caused by the water wash. The treated gas that left the absorber was cooled to avoid excessive water loss, which could cause amine build-up. Despite this cooling, due to the high vapor pressure of water compared with the amine, the water losses were unavoidable. Therefore, water was necessarily added to the wash section of the absorber to stabilize the amine concentration. The water make-up flow rates are included in Table 3.

Solution loading

The amount of CO2 dissolved in the solution was characterized by the solution loading (α) expressed as the ratio of the number of moles of CO2 present in the solvent to the number of moles of amine in the solvent. Figure 4 shows the rich and lean solution loading as a function of CO2 recovery for the selected tests having L/G = 5.3. As shown in the figure, the average rich solvent loading was approximately 0.45 \({\text{mol}}_{{{\text{CO}}_{2} }}\)/molMEA, and the average lean solvent loading was 0.27 \({\text{mol}}_{{{\text{CO}}_{2} }}\)/molMEA. These values were considered the most suitable for monoethanolamine-based solvents according to the optimization performed by Abu-Zahra et al. (2007).

Fig. 4
figure 4

Solvent loading and cyclic capacity as a function of the CO2 recovery

Figure 4 also shows the loading difference between the rich and lean amine solvents (Δα, cyclic capacity), which provided information regarding the utilization of the solvent. The tests, simultaneously having the highest CO2 recovery (η), had the biggest loading difference between the rich and lean solvents (Δα) (Mangalapally et al. 2009).

The loading difference between the rich and lean amine solvents was also a measure of the regeneration of the solvent, which is shown in Fig. 5. Increasing the solvent flow rate (G AN) while maintaining the stripper power (P) constant reduced the period during which the solution remained in the stripper and led to lower regeneration and to a lower loading difference between the rich and lean solvents.

Fig. 5
figure 5

Solvent loading change as a function of the lean solvent flow rate

CO2 recovery

In addition to the regeneration energy demand, CO2 recovery is the most important indicator of process efficiency (Skorek-Osikowska et al. 2012). The basic method to adjust CO2 recovery relies on controlling the power delivered to the heating elements in the stripper. Figure 6 shows the dependency of CO2 recovery as a function of the power delivered. Figure 6 also indicates higher energy demand for the solution having a lower MEA concentration (Kim et al. 2011). This behavior could be explained by comparing the amounts of amine and water in the solution. For the solvent having a higher amine concentration, the energy contribution needed to heat the water to the regeneration energy was lower. Due to this phenomenon, the energy contribution used for CO2 desorption could be higher, which resulted in better regeneration of the solvent (Meldon 2011).

Fig. 6
figure 6

CO2 recovery as a function of the power delivered to the stripper

It is worth noting that the CO2 recovery was highly dependent on different process factors such as the solvent flow rate, flue gas flow rate, CO2 partial pressure in the flue gas, process temperature, or process configuration (Cousins et al. 2011). Figure 6 clearly shows that the CO2 recovery could change up to 20 % for constant energy delivered to the stripper, depending on the listed factors. This result showed that operating the process in optimal conditions could lead to serious energy savings.

Effect of the absorber pressure

Increasing the absorber pressure led to increased CO2 partial pressure, which was desirable because of the higher solubility of CO2 in the solvent (Wilk et al. 2013a). Figure 7 compares the efficiency of the pilot plant depending on the absorber pressure p ABS (test 37−pABS = 25 kPa, test 38−pABS = 30 kPa, test 39−pABS = 35 kPa, gauge pressures). The other parameters during this set of experiments (solvent rate, gas flow rate, and stripper duty) were maintained constant. It could be observed that increasing the absorber pressure was favorable for the CO2 capture rate and regeneration energy demand; however, the increase in the absorber pressure was achieved by higher blower duty (Neveux et al. 2013). The compression of the flue gas had a serious cost; therefore, increasing the absorber pressure too much would be unreasonable.

Fig. 7
figure 7

Influence of the absorber pressure on the CO2 recovery and on the regeneration energy demand

Process energy demand

Despite the high energy demand, the post-combustion amine-based process is the most promising solution for carbon capture from coal-fired power plants. It is said that typical power plant designs with MEA will reduce power plant output by 25–35 % (Chen and Rochelle 2011). Because most of the energy is used in the stripper, it is important to reduce the required amount for this piece of equipment.

Comparing the energy demand of the amine-based carbon capture process is complex because the numbers strongly depend on the solvent used or on the specific plant design. To provide an orientation, the literature data on energy demand are presented in Table 4; however, the numbers should not be compared directly.

Table 4 Literature data on the energy demand of amine-based carbon capture processes (Abu-Zahra et al. 2007)

Figure 8 presents the regeneration energy demand for numerous tests as a function of the CO2 concentration in the flue gas. The approximate comparison with the literature data confirmed the correct operation of the pilot plant. The majority of the tests achieved a regeneration energy demand well below 4.0 MJ/\({\text{kg}}_{{{\text{CO}}_{2} }}\), which was promising for future optimization. It is worth mentioning that such energy demand results were achieved for the standard process flow sheet (no streams split and with internal heat exchange in the stripper) and a basic solvent (30 % MEA). Further reduction is expected after the introduction of a new solvent or for an advanced process flow sheet.

Fig. 8
figure 8

Regeneration energy demand as a function of the CO2 concentration in the flue gases

It must be noted that the process energy demand summarized in Table 3 is given as the net value, i.e., without ambient heat loss. The value of the reboiler heat duty including heat loss (gross value) was approximately 10 % higher.

Conclusions

This present paper reports on the initial operation and presents general results achieved during the first pilot plant tests. The pilot plant campaigns successfully demonstrated reliable operation, allowing the removal of over 19,000 kg of CO2 from flue gases at the Łaziska Power Plant in Łaziska Górne, Poland.

The energy requirement for the MEA process was found to be well below 4.0 MJ/\({\text{kg}}_{{{\text{CO}}_{2} }}\), which was satisfactory considering that only the results of the process flow sheet without stream splitting were presented. The completed campaigns could become a baseline for extended comparisons.

In the coming years, the pilot plant will be used to evaluate advanced process innovations such as split streams of solvent. In addition to the technological modifications, the performance of novel solvents developed in the project (Wilk et al. 2013b; Śpiewak et al. 2015) will be evaluated.