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Article

FMEA and Risks Assessment for Thermochemical Energy Storage Systems Based on Carbonates

1
Departamento de Ingeniería Energética, Universidad de Sevilla, Camino de los Descubrimientos, 41092 Seville, Spain
2
VirtualMechanics, S.L., c/Arquitectura 1, 41015 Seville, Spain
3
Chemical Process & Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), P.O. Box 60361, 57001 Thessaloniki, Greece
4
TTZ Bremerhaven Am Lunedeich 12, 27572 Bremerhaven, Germany
5
Materials & Sustainability Group, Department of Engineering Universidad Loyola Andalucía, Avda. De las Universidades s/n, Dos Hermanas, 41704 Seville, Spain
*
Author to whom correspondence should be addressed.
Energies 2021, 14(19), 6013; https://doi.org/10.3390/en14196013
Submission received: 2 July 2021 / Revised: 1 September 2021 / Accepted: 14 September 2021 / Published: 22 September 2021
(This article belongs to the Special Issue Thermochemical Energy Storage Based on Carbonates)

Abstract

:
Thermochemical energy storage systems from carbonates, mainly those based on calcium carbonate, have been gaining momentum in the last few years. However, despite the considerable interest in the process, the Technology Readiness Level (TRL) is still low. Therefore, facing the progressive development of the technology at different scales is essential to carry out a comprehensive risk assessment and a Failure Mode Effect and Analysis (FMEA) process to guarantee the safety and operation of the technology systems. In this study, the methodology was applied to a first-of-its-kind prototype, and it is a valuable tool for assessing safe design and operation and potential scaling up. The present work describes the methodology for carrying out these analyses to construct a kW-scale prototype of an energy storage system based on calcium carbonate. The main potential risks occur during the testing and operation stages (>50% of identified risks), being derived mainly from potential overheating in the reactors, failures in the control of the solar shape at the receiver, and potential failures of the control system. Through the assessment of Risk Priority Numbers (RPNs), it was identified that the issues requiring more attention are related to hot fluid path to avoid loss of heat transfer and potential damages (personal and on the facilities), mainly due to their probability to occur (>8 on a scale of 10). The results derived from the FMEA analysis show the need for specific control measures in reactors, especially in the calciner, with high operation temperatures (1000 °C) and potential effects of overheating and corrosion.

1. Introduction

Large-scale energy storage has become one of the great challenges to achieving the ambitious goals set to increase the penetration of renewables significantly. Concentrating Solar Power (CSP) plants have a great potential for energy storage integration, which gives them great dispatchability compared to other renewable technologies, such as PV or wind energy [1]. The market for energy storage in solar thermal plants is clearly led by technology based on the exchange of sensible heat from molten salts [2]. However, molten salts present a series of drawbacks, such as corrosion [3], the need to keep them at temperatures higher than ~ 220 °C to avoid their solidification (which involves an important energy consumption) [4], and the maximum temperature limitation to ~ 550 °C to avoid salt degradation [5], which limits the power block efficiency.
As a promising alternative to molten-salts-based energy storage, Thermochemical Energy Storage (TCES) has been gaining momentum in the last few years [6]. Among them, carbonates-based systems are non-corrosive, non-toxic, and cheap (raw materials) [7], with a high energy density and allowing power production at temperatures higher than 800 °C, which boost the power cycle efficiency [8]. The most studied system is the one based on calcium carbonate in the so-called Calcium-Looping (CaL) process [9], which is also being developed as a potential CO2 capture system in plants based on fossil fuels [10]. Many studies are being published, mainly investigating the performance of the reaction on a laboratory scale and by the simulation of different processes schemes to evaluate the efficiency of their integration in large-scale CSP plants. However, their Technology Readiness Level (TRL) continues to be low (TRL4, technology demonstrated on a laboratory scale).
The successful scaling of the process, first at kW scale in a relevant environment (TRL5) and later at a larger scale, is essential for developing this promising technology. However, due to the novelty of the process regarding the management of gas and solids at high temperature (even higher than 1000 °C), there is important challenges and risks. To reach a successful prototype development on a relevant scale, an exhaustive risk assessment that encompasses the different stages of the process is essential [11], as well as a Failure Mode Effect and Analysis (FMEA) that allows us to improve designs and identify potential failures and their probability of occurring, to reach a successful and safe operation. A correct evaluation of potential failures is essential for the development of mitigation measures that prevent problems if these failures occur [12]. These analyses are complementary to those linked to technical/scientific approaches, and they are fundamental for safe design, operation and scaling-up, when prototypes are under design, and operation. However, there is a reduced number of publications under this approach. In FMEA analysis, decisions on the present work are based on Risk Priority Numbers (RPN) [13]. In the last years, several FMEA papers have been published directly related to the energy sector, such as for sensible energy storage systems [14], Lithium-ion batteries management [15,16], hydrogen refueling station [17], liquefied natural gas sector [18], or municipal solid-waste management [19].
This work shows the methodology followed for these analyses in a real case: the construction of the first prototype at a relevant scale (TRL5) of an energy storage system, a CaL-based TCES in CSP plants, through the SOCRATCES project [20,21], in Seville. This is the first work related to risk assessment and FMEA related to promising thermochemical systems for energy storage. It aims to bridge the gap between the laboratory and prototype scales from a risk-analysis point of view, providing a valuable methodology for application in other prototypes. It is valuable information for engineers and scientists involved in prototypes development and scaling up within the energy sector.

2. A Real Case of Study: Developing a KW-Scale CSP–CaL Prototype

SOCRATCES project aims to develop novel thermochemical energy storage based on the the CaL process for its integration in CSP plants [22]. In SOCRATCES, a kW-scale prototype, the first of its type, is under design, construction, and testing. Moreover, several components have specifically been developed for advancing the knowledge of the processes and the requisites for technology for scaling up.
The CSP–CaL process consists of using the heat provided for a CSP receiver to carry out the endothermic decomposition of CaCO3 (calcination) in CO2 and CaO, which are stored separately. Calcination occurs in a solid–gas reactor (calciner), which typically has been proposed as a Fluidized Bed (FB) [23]. However, Entrained Flow (EF) reactors are gaining impetus in the last years due to their potential to operate with fine particles [24]. Once energy is demanded, the stored products are sent to another solid–gas reactor (carbonator), where energy is recovered by the reverse reaction (carbonation), which releases the energy previously stored to a power cycle by its exothermic nature. Figure 1 shows a conceptual scheme for the CSP–CaL integration.
The equipment represented in Figure 1 is included in the SOCRATCES prototype. The calciner is an EF reactor in which a stream composed of CaCO3 particles and CO2 enters through a pneumatic conveying system. A 40 m2 solar field provides the required energy to carry out the endothermic calcination. Another EF reactor is constructed for the carbonation reaction, which is coupled with a Stirling engine to produce electricity from the stored materials. The power output constrains the selection of the power block. At an industrial scale, more efficient power cycles would be considered at [25]. The reactors include several heaters to guarantee isothermal operation at a prototype scale and emulate different operating conditions. A schematic of the pilot plant configuration of the SOCRATCES project is shown in Figure 2.
The SOCRATCES technological concept and reaction have been proven successful at the laboratory scale [26]. However, the scale-up of the processes at the prototype level and higher scales will show new challenges regarding materials behavior and components performance, including additional issues on the operation and efficiency effects. One of the SOCRATCES project objectives is to learn about the performance of solid materials at high temperatures in terms of their transport, storage, and cyclability. It involves a series of kW-prototype scale challenges that must be assessed based on a detailed risk assessment.

3. CSP–CaL Prototype Risk Assessment

The risk assessment aims to reduce the risks in prototype design, construction, and scaling up, identifying risks early on and planning how to manage them. According to ISO 31010, the risk is a combination of the consequences of an event (hazard) and the associated likelihood/probability of its occurrence. The following factors should be considered:
  • Nature and types of risks assessed.
  • Definition of likelihood (Table A1 in Appendix A).
  • Definition of consequences of the risk. The consequences will be described quantitatively as a function of its impact on the project’s objectives (Table A2 in Appendix A).
  • Definition of the risk level. It is the magnitude of risk or combination of risks, expressed in terms of probability and consequence combination. Depending on the level of the risk, it is classified as low, medium, moderate, high, very high, or extreme risk.
The risks identified within the CSP–CaL prototype construction were consolidated and grouped by the different parts of the project life cycle (Figure 3), with the full description of each of the project’s risks and their corresponding mitigation actions. The first group includes those general transversal risks identified as those that affect the entire project life cycle. The second group comprises those that affect specific parts and components. The third group includes all those linked to testing and operation, and finally, the fourth group includes those identified as affecting the scalability and pathway to commercialization.
Risk Assessment Development
This section collects the main risks of the scaling-up process divided into categories according to Figure 3. The present work is mainly focused on prototype construction and testing, these being the categories in which we go into more detail along this section.
Firstly, the main risks affecting the construction of the prototype are assessed (Table 1). They appear as a potential gap between design and on-site installation work. Special attention requires equipment manufacturing (when they are not commercially available) and plant integration work: foundations, piping, instrumentation, mechanical supports, and others. An action plant with a clear definition of tasks and responsibilities, as well as a daily evaluation, is fundamental to the success of the construction.
Table 2 classified the items shown in Table 1 according to the risk level. Note that classification is made based on the combination of likelihood and consequence of each risk following (Appendix A section). Thus, very high risks are related to issues on modules construction, transport, or erection and issues with licenses or permits on-site, a situation that could lead to delays in the tests planned to validate the technology.
Following is described the most prominent risks in each part and system of the pilot plant and their evaluation associated with the plant’s operation and the testing campaign. This phase of the project is where the most significant risks were identified. Because of this, this stage of pilot plant testing and operation is also studied in the Product Failure Mode Analysis (FMEA) developed in the next section. Table 2 summarizes the main risks associated with this stage from a general perspective, whilst specific issues with each main system of the prototype are analysed under the FMEA assessment in Section 4.
Table 3 and Table 4 evaluates the risk level of each item affecting the testing and operation of the prototype. Higher risks are associated with loss of remote control and potential inadequate operation of systems because of issues in the signal tracing, which can cause materials failures and compromise the safe operation of the plant.
Finally, risks affecting the CSP–CaL prototype scalability and commercialization must be considered. They are related to (i) the appearance of unexpected performance in the testing stage, compromising the technology deployment; (ii) ownership’s conflict for novel technology developments; (iii) difficulties in commercializing products and services; and (iv) higher investment costs of the technologies than expected before the testing stage. None of these items should fall into the classification of very high or severe risks. However, they do expose the need to include mitigation actions such as: (i) evaluation of technologies at different levels of integration, in a sequential process, from laboratory to demonstrators, to identify separate effects related to the unexpected performance of the facility; (ii) design of the warning and control systems to detect abnormalities in the performance; (iii) redesign of alternatives as soon as problems appear; (iv) identification of suitable applications and synergies to boost the technology through the learning curve until a mature status; and (v) consider potential alternative markets if the commercialization stagnates.

4. Product and Process Failure-Mode Effect and Analysis (FMEA)

FMEA is an essential reliability analysis technique that evaluates designs and identifies potential failures and their probability of occurring. Generally, FMEA is a proactive method for evaluating a process to identify the need for and the effects of design changes [27]. It departs from the risk analysis and complements it with additional information for implementing monitoring actions and control actions to reduce potential failures in the system, components, and processes. Due to the nature of the analyses, FMEA is focused on this work in the CSP–CaL prototype operation and testing, as an engineering tool whose objective is to increase the technology reliability. CSP plants, in general, experience different issues resulting from failures of different impacts, reducing efficiency, and increasing downtime and maintenance costs. Besides, in developing novel prototypes, unexpected performances are probable due to the lack of previous experiences. Therefore, in order to minimize them and reduce the involved risks, it is critical to identify the critical failure modes in the facilities.
The FMEA aims to eliminate potential failures or reduce their impacts. The tool provides the structure for a cross-functional critique of a design or a process. This analysis is built around three elements: the effect, the cause, and the detection. The effect is the result of what potential failure can cause to the project; the cause will indicate the reasons why this problem has appeared; finally, detection is the selected way of controlling the process to avoid possible failures. For the analysis, the CSP–CaL integration is divided into subsections: solar side (receiver and heliostats field), materials storage, solid–gas reactors (calciner and carbonator), and power block.

4.1. Evaluation Method and Risk Criteria

The generic form of an FMEA is designed relatively simple and straightforward for worthy data acquisition and classification. Figure 4 presents a basic form that identifies all essential information to reduce or eliminate a root cause from either a design and/or a process. The rankings or criteria, as they are commonly known, are not globally standardised. There are no global criteria that everyone is using for all FMEAs and industries. The criteria must be based on logic, knowledge, and experience about the process at hand. In the present work, these criteria are based on the expertise of the authors in the study of the CaL process [26], as well as the experience in prototypes construction.
The evaluation includes the Severity (S), Probability (P), and Detection (D) of the risks [28]. Severity is a relative measure of the importance of the effect. When the severity changes depending on the point in time, we consider the worst-case scenario. Reducing the severity are necessary changes in the design, construction or operation and focus on reducing the standards, procedures, and instructions. Probability is the estimated number of failures, based on experience, that may occur for a given cause during the design life. Finally, the detection rate is a numerical rating of the probability that a given set of control measures or examinations will uncover a failure mode.
Risks inevitably exist in any system, design, or manufacturing process. The FMEA process aids in the identification of main risks then provides help to reduce its impact. It was carried out using Risk Priority Numbers or the RPN index. The RPN for each potential failure detected is calculated by multiplying the three scores, such as Severity (SEV), Probability (PRO), and Detectability (DET). These RPNs are considered for prioritising the risks with a potential failure mode [29]. Criteria for S, P and D are shown in Table A1, Table A2 and Table A3 (Appendix A section).
R P N = S E V × P R O × D E T
The primary focus will be on the failures detected with a high number of RPN. For obtaining the RPN number of a potential failure mode, the three factors were introduced using an evaluation scale of 10 points (Table A1, Table A2 and Table A3). The higher the RPN of a failure mode, the greater the risk for the CSP–CaL prototype reliability. As design criteria, RPN values higher than 100 are considered critical and need to be evaluated carefully. Regarding the scores of RPNs, the failure mode assessed them and considering the results, and the proper actions were taken on the high-risk failure types.

4.2. FMEA Analysis for the CSP–CaL Prototype Operation and Testing

In this section, a detailed review of the potential issues derived from the operation of a prototype of a CSP–CaL plant at kW-scale is carried out. Potential failures are divided into (i) supplies and control system, (ii) solar side and power block, and (iii) reactors. Table 5 shows those potential failures related to supplies and control systems.
The FMEA analysis of the supplies and CO2 compression system previous analysis is the resulting values are relatively low, and no significant values or actions to be taken are identified, additional to those already taken. Table 6 shows those potential failures related to solar side, control and power block systems. As in the supplies and compression systems, the FMEA analysis of the solar side, control system and power block results in favorable evaluations, and none of them results in a value above a level to be remarkable and additional actions to be taken.
A comprehensive list of potential issues for the power block is difficult to compile unless a particular choice for a thermal-electrical conversion approach is detailed. The relevant failure modes for a Rankine cycle plant, for example, can be of an entirely different class in comparison to those anticipated to be encountered in a Brayton cycle or a Stirling cycle plant. However, literature pertaining to technology-specific treatment of risk analysis of this kind is quite rich, as documented by [30,31], for example. For a Stirling cycle power plant, which was the case in the investigation for the pilot-scale plant built by the SOCRATCES consortium, perhaps the principal potential failure to be feared is the overheating and the consequent over-speeding of the engine, possibly propagating the problem to the electrical side or encountering mechanical issues. In Table 6, only a glimpse of a handful of issues generally considered relevant to power plants is listed.
Table 7 shows those potential failures associated with both reactors, namely calciner and carbonator.
Since the calciner and carbonation units are the core reactors of the overall plant, most of the risks faced are similar. Therefore, the most important risks based on severity scores concern the construction parts and the design of both units. In order to reduce the overall failure risk, the use of specific materials is used, and monitoring methods are implemented.

4.3. Contingency Measurements

The previous analyses are summarized in Figure 5. It provides a graphical overview of the complete analysis and allows the risks to be grouped into four main groups linked to different required actuation levels.
Based on the assessment carried out on each risk, they were placed in one of the risk-map quadrants. Where they are placed will determine whether a risk control action will be taken on the identified risk, whether risk monitoring will be applied, whether a particular precaution will be taken or whether no action will be taken at all.
Risks that fall into the “Warning” quadrant have high levels of severity or probability of failure but were classified as having a high probability of being detected and are therefore considered hazardous. Actions are provided to minimize the severity and/or probability of failure. The risks detected in this part of the analysis are linked to the coolant filling hose, the compression system and the heat-transfer structure. In the measures applied to the hose, it is proposed as action a daily review, before starting the tests, by visual inspection, of the hose condition, which increases the probability of detecting bad connections or cracks. As for the compression system, the severity of failure is reduced by the availability of sealing rings. Finally, in the heat-transfer structure, daily checks of the heat-transfer structure condition are introduced before starting the tests, reducing the probability of failure by early detection of deterioration of the structure.
The risks that fall into the “Control and Supervision” quadrant do not have very high severity levels or failure probability. However, they were classified with a high probability level, so it is necessary to control them and periodically supervise that they are under control of not being detected. Therefore, in the risks framed within “Control and Supervision”, periodic reviews of the equipment condition are established to increase failure detection probability.
Risks that fall into the “Action Control” quadrant have both high levels of severity or probability of failure and a high level of probability of not being detected, so it is necessary both to minimize the severity and/or probability of failure and to control them and periodically monitor that they are under control. By means of the daily check of the condition of the heat-transfer structure, introduced earlier, before starting the tests, the probability of failure is reduced by early detection of deterioration of the structure. In addition, if more than five tests are performed on the same day, the structure must be rechecked, increasing the probability of detection.

5. Discussion

The results from risk assessment and FMEA are fundamental for a successful and safe prototype design, construction and testing, identified as the riskiest stages in the development of the thermochemical systems from the lab (TRL4) to the relevant environment (TRL5).
The risks affecting the design and construction of the prototype can be extrapolated to other projects related to the energy sector: energy storage, thermal systems, thermal reactors and chemical reaction control. Thus, a risk assessment was carried out for the entire life cycle of the project, from the theoretical development phase through prototype construction and experimental testing to the scale-up and commercialization phase.
The risk assessment shows how special attention and effort should be given to the construction of the individual modules during the construction phase so that problems and/or construction delays do not occur, clear control and understanding of the legal framework must be available within the project or use external support. In order to avoid delays in the implementation, flexibility in the assembly and integration of the modules should be identified and foreseen.
During the operation and testing phase, the risk assessment identifies as relevant a redundant control system to avoid loss of remote control and data acquisition or malfunctioning of the systems. The duplication of the control system in the equipment for the automatic shutdown procedure and the positioning of the components or a start-up procedure could help in this respect. Finally, it should be noted that the risks affecting the theoretical development or the scalability and commercialization of the CSP–CaL prototype do not fall into the classification of very high or severe risks, according to the risk assessment carried out.
As for the FMEA analysis, it focuses only on the operation and testing phase of the pilot plant. In the “Warning” quadrant, risks were placed with high levels of severity or probability of failure, but they have a high probability of being detected, so actions are foreseen to minimize the severity and/or probability of failure. The risks that fall into the “Control and Supervision” quadrant do not have very high levels of severity or probability of failure, but they were classified as having a low probability of being detected, and therefore periodic reviews of the condition of the equipment are established to increase the probability of detecting failures. The risks that fall into the “Action Control” quadrant have both high levels of severity or probability of failure and a high level of probability of not being detected, so it is necessary both to minimize the severity and/or probability of failure and to control them and periodically supervise that they are under control.
All failure modes detected in the analysis that require severity reduction measures or control and monitoring pertain to the reactors: calciner and carbonator. They correspond to failures in the seals or in the heat-transfer structure. In the heat-transfer structure, very different failure modes are assessed, such as a stress crack due to cooling losses, leakage due to corrosion, perforation or breakage, and plugging. Once severity or probability of failure mitigation and/or control and monitoring measures are applied, all detected failures fall within the “no action required” zone. In addition to being fundamental to avoid accidents in the plant, applying these measures would be key to increase the useful life of the different equipment in the plant.
This methodology of risk assessment and failure mode analysis described and applied in this work is of great interest and can provide clear benefits in the process of prototypes design and construction, especially for low TRL prototypes, and also contributes to scaling up. Specifically, it is identified that it can be directly extrapolated to thermal energy systems prototypes, including energy storage systems. The SOCRATCES research project, on which this work is based, develops the first prototype of new technology, a thermochemical energy storage plant based on Calcium-Looping on this scale (TRL 5). The methodology applied to its novel components and integration, which are the first of their kinds, is of high interest for successful development and scaling up of low TRL prototypes and their scaling up.

6. Conclusions

This paper shows the methodology followed for a comprehensive risk assessment and Failure Mode and Effects Analysis (FMEA) in a real case: the construction of the first full-scale prototype (TRL5) to assess CaL-based TCES in solar thermal plants, through the SOCRATCES project, in Seville, with a planned completion date of 2021.
The risk assessment aims to maximize the chances of successful prototype design and construction by identifying risks from the outset and planning how to manage, reduce, and/or control them. The risks identified in the construction of the CSP–CaL prototype were consolidated and grouped by the different parts of the project life cycle.
Focusing on the construction of the prototype, the highest risks are related to problems in the construction, transport, or assembly of the modules and to licensing or permitting issues on site, which could lead to delays in the planned tests to validate the technology. For pilot plant testing, the highest risks are associated with loss of remote control and possible malfunctioning of the systems due to signal routing problems, which can lead to material failures and compromise the safe operation of the plant.
FMEA is an essential reliability analysis technique that evaluates designs and identifies potential failures and their probability of occurrence. The FMEA assessment aims to eliminate potential failures or reduce their impact. The tool provides the structure for a cross-functional critique of a design or process. This analysis is built around three elements: effect, cause, and detection. These three elements allow risks to be classified into four quadrants.
These analyses show that the main potential risks for the case analyzed in this work occur during the test and operation stages, deriving mainly from potential overheating in the reactors, from failures in the control of the solar part in the receiver, and from potential failures in the control system. The results warn of the need to increase control measures in the reactors, especially in the case of the calciner, given the high temperatures (1000 °C) that can be reached, with potential overheating and corrosion effects. The methodology shown is of high value for the design and construction of novel experimental prototypes, with high uncertainties. It entirely complements and supports the technical design approaches. The methodology here presented and applied can be directly extrapolated to the analysis of other thermal systems.

Author Contributions

Conceptualization, C.O. and A.C.; methodology, R.C., C.T., G.G., M.E., A.C.; software, C.O., A.C.; validation, V.S., P.S., R.C. and C.T.; formal analysis, C.O., A.C., R.C.; investigation, R.C., C.T., A.C.; resources, R.C., V.S.; data curation, R.C., A.C.; writing—original draft preparation, C.O., A.C.; writing—review and editing, R.C., V.S., G.G., M.E., P.S.; funding acquisition, R.C., V.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by European Union’s Horizon 2020 Research and Innovation Programme, grant number 727348 (SOCRATCES project).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Likelihood criteria.
Table A1. Likelihood criteria.
Likelihood
E
Almost certain
The event is expected to occur on a regular basis. The probability of occurring is greater than 90%.
D
Likely
The event is expected to occur from time to time. The probability of occurring is between 60 and 90%.
C
Possible
The event could occur at the same time. The probability of occurring is between 40 and 60%.
B
Unlikely
Event not expected, but it is possible that one could occur. The probability of occurring is between 10 and 40%.
A
Rare
The event will only occur in exceptional circumstances. The probability of occurring is less than 10%.
Table A2. Consequence criteria.
Table A2. Consequence criteria.
Consequence
5
Severe
If it occurs, a risk event will have a severe impact on achieving desired results, to the extent that one or more of its critical outcome objectives will not be achieved.
4
Major
If it occurs, a risk event will have a significant impact on achieving desired results, to the extent that one or more stated outcome objectives would fall below acceptable levels.
3
Moderate
If it occurs, a risk event will have a major impact on achieving desired results, to the extent that one or more stated outcome objectives would fall below goals but above minimum acceptable levels.
2
Minor
If it occurs, a risk event will have a minor impact on achieving desired results, to the extent that one or more stated outcome objectives will fall below goals but well above minimum acceptable levels.
1
Insignificant
If it occurs, a risk event will have little or no impact on achieving outcome objectives.
Table A3. Severity criteria.
Table A3. Severity criteria.
EffectSeverityRanking
Hazardous without warningVery high severity ranking when a potential failure mode effects safe system operation without warning.10
Hazardous with warningVery high severity ranking when a potential failure mode affects safe system operation with warning.9
Very highThe system is inoperable with destructive failure without compromising safety.8
HighThe system is inoperable with equipment damage.7
ModerateThe system is inoperable with minor damage.6
LowThe system is inoperable without damage.5
Very lowThe system is operable with significant degradation of performance.4
MinorThe system is operable with some degradation of performance.3
Very MinorThe system is operable with minimal interference.2
NoneNo effect.1
Table A4. Probability criteria.
Table A4. Probability criteria.
ProbabilityRanking
Very High: failure is almost inevitable>1 in 210
Hazardous with warning1 in 39
High: repeated failures1 in 88
High1 in 207
Moderate: occasional failures1 in 806
Low1 in 4005
Very low1 in 20004
Low: relatively few failures1 in 15,0003
Very Minor1 in 150,0002
Remote: failure is unlikely<1 in 1,500,0001
Table A5. Detectability criteria.
Table A5. Detectability criteria.
DetectionLikelihood of Detection by Design ControlRanking
Absolute uncertaintyDesign control cannot detect potential cause/mechanism and subsequent failure mode.10
Very remoteVery remote chance the design control will detect potential cause/mechanism and subsequent failure mode.9
RemoteRemote chance the design control will detect potential cause/mechanism and subsequent failure mode.8
Very lowVery low chance the design control will detect potential cause/mechanism and subsequent failure mode.7
LowLow chance the design control will detect potential cause/mechanism and subsequent failure mode.6
ModerateModerate chance the design control will detect potential cause/mechanism and subsequent failure mode.5
Moderately high Moderately high chance the design control will detect potential cause/mechanism and subsequent failure mode.4
High High chance the design control will detect potential cause/mechanism and subsequent failure mode.3
Very high Very high chance the design control will detect potential cause/mechanism and subsequent failure mode.2
Almost certainDesign control will detect potential cause/mechanism and subsequent failure mode.1

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Figure 1. CSP–Calcium Looping conceptual scheme. Adapted from Reference [8].
Figure 1. CSP–Calcium Looping conceptual scheme. Adapted from Reference [8].
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Figure 2. SOCRATCES pilot plant scheme.
Figure 2. SOCRATCES pilot plant scheme.
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Figure 3. Project lifecycle stages.
Figure 3. Project lifecycle stages.
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Figure 4. Typical FMEA pathway.
Figure 4. Typical FMEA pathway.
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Figure 5. FMEA Assessment Map. Note that the x-axis represents the product of severe (SEV) and probability (PRO), while the y-axis represents the uncertainty (DET) produced by lack of failure detection.
Figure 5. FMEA Assessment Map. Note that the x-axis represents the product of severe (SEV) and probability (PRO), while the y-axis represents the uncertainty (DET) produced by lack of failure detection.
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Table 1. Definition of main risks affecting the construction of the prototype.
Table 1. Definition of main risks affecting the construction of the prototype.
Risk IDDescription and ConsequencesSource of RiskMitigation Action
R1Delays in transferring information/ components/ modules between partners suppliers and EPC companies for prototype integration (includes material exchange)Modules design and constructionManagement board controls. Clear definition of responsibilities
Consider alternative pathways to advance in construction activities until the reception of information to avoid accumulated delays
Identification of alternative systems for temporal substitution of modules or components with delays/failures
R2Non-adequate correspondence of plans and componentsModules design and constructionClear definition in the action plan of the responsibility for information transmission.
R3Differences in modules information availability and accuracy.Results integration Following of results and data quality
R4Issues in modules construction, transport, or erection Modules constructionClear definition in the action plan of the responsibilities for task implementation and times
R5Problems with prototypes location (legal constraints, delays in permits, etc.)Prototype constructionParticipation of specialized technicians for legal framework and documents
R6Appear unexpected new results and technological challenges, critical component breakdown, unexpected low performanceTechnology watchTechnologies evaluated at different levels of integration, in a sequential process, from laboratory to demonstrators, to identify separate effectsRedesign of alternatives
R7The appearance of new requisites of technologies, new regulations or changes in costs or materials availabilityTechnology watchProject’s technology watch must deliver information periodically to maintain a continuous flow of information
R8Non-unexpected availability (or delays) for implementing in demonstrator locationPrototype constructionFlexibility for readapting modules. Periodical meetings to identify alternative solutions
Table 2. Evaluation of main risks affecting the CSP–CaL prototype construction.
Table 2. Evaluation of main risks affecting the CSP–CaL prototype construction.
Risk LevelPrototype ConstructionConsequence
InsignificantMinorModerateMajorSevere
LowLikehoodRare
MediumUnlikely R3-R6-R7R2
HighPossible R1R5-R8
Very highLikely R4
ExtremeAlmost Certain
Table 3. Definition of main risks affecting the testing and operation of the pilot plant.
Table 3. Definition of main risks affecting the testing and operation of the pilot plant.
Risk IDDescription and ConsequencesSource of RiskMitigation Action
R9Delays in laboratory facilities startup. Non-availability for testing equipmentPlanningLaboratory facilities startup with adequate time before starting main activities.
R10Inconsistent measures from different sourcesMeasurement equipment and protocolsSetting of templates and standards for data collecting and information presentation at the beginning of the tasks.
R11Incorrect records keepingData managementClear definition in the Action plan of the responsibilities for information keeping at each subsequent step.
R12Low availability of demonstration cases/modules testingModules constructionDefinition in the action plan of strategies for validation of modules.
R13Excessive fatigue of materials of construction due to cyclic operationMaterials failureThe materials of construction must be chosen for their ability to withstand high temperature and still perform mechanically. Regular programmed materials inspection will be performed to avoid catastrophic failures. The reactors should be designed to be extracted and replaced (if needed) for mechanical and material analyses after operation time.
R14Disfigurement of units due to differential thermal expansion at high temperatures (calciner and carbonator operation up to 1000 °C)Magnitudes resizing with operation and heatingLateral fixations should be included to allow displacements. System includes monitoring of displacement. Need for a control system actuation to avoid disfigurement or structural damages.
R15High emissivity losses leading to unexpected resultsHeat losses at solar receiverThe receiver’s cavity design should be selected based on its better ability to retain radiation than others (e.g., a bare tube). At prototype; Integration of measures to control surface absorptivity and beam down (low emissivity losses design). Absorptivity losses evaluated and included in calculations
R16Errors in programming the control software cause malfunctions, e.g., an incomplete reaction in the carbonization processIncomplete tested control software for the carbonatorSimulating the control software as far as possible; foreseen remote access to fix errors remotely.
R17Bad data acquisition and observationAn incomplete programmed master control unit (MCU)Remote access to the MCU to fix any errors quickly.
R18Loss of remote control and loss of data acquisitionControlDuplicate control system in the equipment for automatic stop procedure and position of components.
R19Potential inadequate operation on systemsControlCommissioning procedure for labeling. Periodic revision status.
Table 4. Evaluation of main risks affecting the CSP–CaL prototype operation.
Table 4. Evaluation of main risks affecting the CSP–CaL prototype operation.
Risk LevelOperation and Testing LikelihoodConsequence
InsignificantMinorModerateMajorSevere
Low Rare
MediumUnlikely R12R16R13-R14
HighPossible R10-R11-R17R9-R15R18-R19
Very highLikely
ExtremeAlmost Certain
Table 5. Data collection and risk assessment of the FMEA analysis of the supplies and CO2 compression system.
Table 5. Data collection and risk assessment of the FMEA analysis of the supplies and CO2 compression system.
ItemSystem Devices, Component Failure Modes, and Potential EffectsSEVPRODETRPN
S1Electrical supplySupplies. Electrical circuit breaker triggeringInstallation without power supply. Elements position fixed—regulation capacity loss.44232
S2Compressed gas supplySupplies. Compressed gas pressure lossInstallation without compressed gas supply. Pneumatic valves blocked. Effects on the reactors control system.65260
S3Compressed gas supplySupplies. Compressed gas regulator valve failureInstallation without compressed gas supply. Regulation capacity lost. Overpressure in the system.65260
CD1CO2 compression and storage systemCommunication loss with PLCLoss of remote control. Loss of data acquisition.33218
CD2CO2 compression and storage systemPressure transmitter failureOverpressure on the tank. 63236
CD3CO2 compression and storage systemLocal electrical system failureSystem out of operation. Loss of CO2 pressure and mass flow capacity reposition.43224
CD4CO2 compression and storage systemCompressor forced ventilation system failureOverheating of the compressor. Effect on compressor operation and consumption.32212
CD5CO2 compression and storage systemChiller failureOverheating of CO2 supply to the tank.32212
CD6CO2 compression and storage systemFilters clogged—cyclone and bag-paper filterReduction of CO2 mass flow. Compressor higher power consumption, load and noise. 24324
CD7CO2 compression and storage systemRegulation valves failureCO2 compression and storage system. Insufficient pressure in the tank. Effect on calciner supply.32318
Table 6. Data collection and risk assessment of the FMEA analysis of the solar side, control, and power block systems.
Table 6. Data collection and risk assessment of the FMEA analysis of the solar side, control, and power block systems.
ItemSystem Devices, Component Failure Modes and Potential EffectsSEVPRODETRPN
C1Master control unit (MCU)Programming error or malfunctionLoss of observation the overall process33218
C2Remote access to all control unitsAn outage of the Internet connection; Internal Network errorLoss of remote access to the overall process34224
C3External connectionsInternet access failureLoss of remote control. Loss of data acquisition65390
C4Equipment connectionsEquipment communication failureLoss of remote control. Loss of data acquisition45240
C5Equipment signalsAnalog signal failure (from PLC). Wire cut or similarLoss of remote control. Loss of data acquisition45240
SO1Solar fieldTotal Electrical power lossSolar shape evolving over non protected areas52220
SO2Solar fieldCO2 mass flow lossWall temperature increase52220
SO3Solar receiverCommunication lossConcentrated solar flux drift. Solar shape evolving over non protected areas33218
SO4Solar fieldHigh Wind SpeedDamages on Heliostats43224
SO5Solar fieldSolar field. Heliostat Non-programmed movement in response to control actions Solar shape evolving over non protected areas. Personnel risk if it happens during maintenance over the heliostats43224
SO6Solar receiverSolar receiver. Cavity receiver material ingress (solid, liquid, gaseous) Effects on the heat transfer. Potential damages on surfaces53345
PB1Power blockCooling system failureFailures on cooling system components: pump, fan, water spillage. Potential damage on engine44232
PB2Power blockVibrationsNoise, deterioration, transmission to other components25220
PB3Power blockElectrical Power lossCooling system failure. Overheating64248
PB4Power blockLoad loss in the mechanical coupleRisk of over-speed and engine damage63236
PB5Power blockAir valvesEngine performance affected33327
PB6Power blockPLCLoss of remote control. Loss of data acquisition44232
Table 7. Data collection and risk assessment of the FMEA analysis of the reactors (calciner and carbonator). Clc, calciner; Crb, carbonator.
Table 7. Data collection and risk assessment of the FMEA analysis of the reactors (calciner and carbonator). Clc, calciner; Crb, carbonator.
ItemSystem Devices and Component Failure ModesSEVPRODETRPN
RE1Clc
Cbr
Instrumentation signal failure (as in thermocouples, mass flow meters, and other equipment)Loss of control and identification of failures43224
RE2Clc
Crb
PLC communication lostLoss of remote control. Loss of data acquisition35230
RE3Clc
Crb
Screw feeder failureSpeed regulator performance fails because control or blocking43224
RE4ClcCO2 preheater failure Cold CO2 in the calciner. Calcination process frozen.23212
RE5ClcPneumatic conveying system clogging Pipes blocked. Non enough material arriving at the calciner36236
RE6ClcMaterial wall deposition; clogging Heat transfer penalized. Reaction penalized/stopped36236
RE7Clc
Crb
CO2 mass flow controller failureLoss of control and identification of operation situation34224
RE8Clc
Crb
Vibrations in components; natural modes in the start-up or load changesNoise, deterioration, transmission to other components25220
RE9Clc
Crb
Wiring failureLoss of signal. Loss of control. 53230
RE10ClcNitrogen filter cloggingCO2 inertization at calciner exit affected45240
RE11ClcSwappable vessel; overload control; solids level above the thresholdHot material is accumulated inside the reactor. Potential agglomeration and damages on the valve53230
RE12ClcSwappable vessel; shutter valve blockedThe bottom vessel cannot be isolated for movement42216
RE13Clc
Crb
Counterweigh failure; unbalanceMovement of structure72114
RE14Clc
Crb
Lighting strikeDamages on the equipment and personnel85140
RE15ClcMaterial spillagePipes break, inadequate manipulation, failure in the control system. Cold material implies loss and dirt. Hot material is a risk for personnel82232
RE16ClcElectrical power lossExothermic reaction control. Temperatures increase in some spots23212
RE17Clc
Crb
Sensor mount-seal: compression setLeak87156
RE18ClcSensor mount-seal: loosen during sensor assembly/serviceLeak. Fall inside tank82116
RE19Clc
Crb
Sensor mount-seal: damaged internal threadCannot install sensor52110
RE20Clc
Crb
Sensor mount-seal: damaged external threadCannot install wire nut43112
RE21ClcHold-fluid flow-path heat-transfer structure: stress crackCooling does not work. Sudden refrigerant loss.882128
RE22ClcHold-fluid flow-path heat-transfer structure: stress crackLeak. Loss of heat transfer.85280
RE23ClcHold-fluid flow-path heat-transfer structure: corrosionLeak. Loss of heat transfer.875280
RE24ClcHold-fluid, flow-path heat-transfer structure: punctureLeak. Loss of heat transfer.810180
RE25ClcHold-fluid flow-path heat-transfer structure: burst failLeak. Loss of heat transfer.82580
RE26ClcHold-fluid flow-path heat-transfer structure: pluggedLoss of heat transfer. Leakage due to increasing flow velocity87156
RE27ClcHold-fluid flow-path heat-transfer structure: ballooningLeak. Loss of heat transfer.598360
RE28Clc
Crb
Instrument air pressure loss, i.e., pneumatic control valveValve is in a fixed position without the capacity for control42216
RE29ClcBottom vessel, overload control, solids levelHot material is accumulated inside the carbonator. Potential agglomeration and damages on the valves.45240
RE30CrbShutter valve blocked. the bottom vessel cannot be isolated for movement45240
RE31CrbUncontrolled exothermic reactionsOverheating72228
RE32CrbInadequate labeling and signals of the components and their statusPotential inadequate operation on elements42324
RE33CrbFilter on top of the vessel—cloggingOverpressure32318
RE34CrbFilters on aeration lines—cloggingNo air inserted on specific points. There is a wrong indication on pressure instruments33327
RE35CrbClamp joints: gasket—damaged sealing gasketGas leakage28348
RE36CrbScrew feeder: inlet/outlet connections—bad sealGas leakage22416
RE37CrbScrew feeder: mechanism—stop rotating, cloggingfeeder power shut down55250
RE38CrbFurnaces: ceramics—breakresistance short-circuit, resistance burn84264
RE39CrbFurnaces: control—control failureresistance burn8118
RE40CrbReactor: coil-crackingGas Leakage83372
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Carro, A.; Chacartegui, R.; Tejada, C.; Gravanis, G.; Eusha, M.; Spyridon, V.; Simira, P.; Ortiz, C. FMEA and Risks Assessment for Thermochemical Energy Storage Systems Based on Carbonates. Energies 2021, 14, 6013. https://doi.org/10.3390/en14196013

AMA Style

Carro A, Chacartegui R, Tejada C, Gravanis G, Eusha M, Spyridon V, Simira P, Ortiz C. FMEA and Risks Assessment for Thermochemical Energy Storage Systems Based on Carbonates. Energies. 2021; 14(19):6013. https://doi.org/10.3390/en14196013

Chicago/Turabian Style

Carro, Andrés, Ricardo Chacartegui, Carlos Tejada, Georgios Gravanis, Muhammad Eusha, Voutetakis Spyridon, Papadopoulou Simira, and Carlos Ortiz. 2021. "FMEA and Risks Assessment for Thermochemical Energy Storage Systems Based on Carbonates" Energies 14, no. 19: 6013. https://doi.org/10.3390/en14196013

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