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Diffusion of flue gasoline desulfurization reveals boundaries and opportunities for carbon trap and storage | 412-79v8 practice test and Dumps

Diffusion of sulfur manage is stepwise

We first analysed developments in total sulfur manage within the greatest national coal vigour markets, excluding these with enormous quantities of coal power but hardly any FGD (India and Russia). figure 1 shows the diffusion of coal means varieties for seven international locations and globally, with the aid of presence and type of sulfur manage. The international locations cowl seventy two% of world coal energy ability in 2010. there is a distinction between contraptions devoid of FGD (no FGD), these retrofitted with FGD (retrofit FGD), new builds with FGD (new build FGD) and FBC/IGCC (superior combustion) units. The manner for allocating coal energy units to kinds of sulfur handle is described in ‘methods’.

Fig. 1: Diffusion of sulfur handle within the coal energy sector of selected international locations and globally.

a–g show capacities for the largest country wide coal vigor sectors with large uptake of FGD. h suggests world coal energy capacities. electric means (GWe) of coal energy devices devoid of FGD (grey), with retrofit FGD (mild blue), new build FGD (darkish blue), or superior combustion expertise (pink). The scales for the vertical axes fluctuate via panel. source facts are provided as a source statistics file.

The charts in Fig. 1 suggest stepwise adoption of sulfur manage applied sciences, linked at once to primary legislative steps, which confirms the rules-driven nature of pollution handle technologies15. in the united states, a collection of legislative initiatives put in location potent regulatory drivers for sulfur abatement. the primary predominant piece of legislation become the 1963 clean Air Act, followed up with the aid of the 1967 Air quality handle Act and the 1970 clear Air Act Amendments. The 1977 clear Air Act Amendments readily required FGD and led to the fast setting up of FGD in US vigour vegetation.

The chart for Germany displays a quick raise in retrofit FGD within the Eighties, defined by way of comprehensive rules added in 1983 according to forest dieback26,27. the eu Union, constructing on the German adventure, delivered the enormous Combustion Plant Directive (LCPD) in 198828, which required the installation of FGD at many power vegetation, as evidenced through the tendencies in the 1990s for Germany, Poland and the uk. the uk chart, furthermore, displays a speedy increase in FGD to meet the 2008 time limit of the 2001 replace to the LCPD.

In Japan, FGD was first adopted within the Seventies and abruptly rolled out within the 80s and 90s, including for amenities aside from energy vegetation. This development became boosted by the oil crisis, which ended in high expenses for low-sulfur oil and for this reason made FGD a comparatively most economical abatement alternative. The technology changed into mostly imported from Germany and the united states but home technological advancements grew to become Japan into an exporter29. Neighbouring South Korea adopted a similar trajectory. at last, China began adopting FGD at a big scale just recently, with 2004 law requiring FGD on all new construct coal vigour plants30.

The charts suggest that once FGD changed into introduced it grew to become the ordinary for brand new plant life. In nations where total coal vigor ability grew immediately (South Korea, Japan), retrofit grew simplest gradually, perhaps reflecting the better expenses of retrofit FGD, even if measured as funding cost31,32 or levelized charge per tonne of SO2 removed32. In international locations where complete coal vigour potential grew slowly (Germany, Poland, UK, US), FGD additionally grew to be the norm for new capability, however retrofit had to play a plenty improved position in reaching usual sulfur manage. For China, the difference between new construct and retrofit may still be interpreted carefully because many new builds have been retrofitted very almost immediately after commissioning.

FGD evades materiality and partially the S-curve

The 2d step of their analysis concentrated on the fee of diffusion of FGD. determine 2 indicates the diffusion of FGD (on a logarithmic scale) for the chosen countries and globally. Kramer and Haigh24 argued that energy applied sciences obey a law that limits the boom expense as soon as a expertise has reached materiality, described as 1% of world basic energy use. determine 2 suggests the electric powered capacity of coal energy akin to materiality as a horizontal bar. since simple power use grows over time, they calculated a variety (see ‘methods’). They reveal that global diffusion indeed slows down, but accelerates once again in the mid-2000s, breaking the law posited via Kramer and Haigh, because of growing to be stringency of sulfur legislation, normally within the US and China.

Fig. 2: installed electric powered skill of coal vigour with FGD in chosen countries and globally.

The horizontal bar suggests materiality, defined as 1% of world simple power consumption. the scale on the vertical axis is logarithmic because the contribution of different nations varies through an order of magnitude. source information are provided as a source information file.

Diffusion of innovation is often found to follow an S-shaped curve that's surest approximated with the aid of a 3-parameter logistic curve20; such curves had been correctly applied to quite a number energy and pollutants manage technologies10,20,33,34. Logistic boom comprises close-exponential boom within the early levels of diffusion and a subsequent slowing of the growth rate because the market approaches saturation. They ran regressions of logistic curves and calculated indicators for the rate and extent of diffusion (see ‘strategies’). The rate of diffusion was expressed through calculating delta t (∆t), which is the number of years between 10 and ninety% of the saturation degree. The extent of diffusion turned into expressed by way of the saturation level of the logistic curve, either in terms of absolute means or share of the full market. Supplementary table S1 summarises the regression results.

We found that the cost of diffusion is awfully diverse for diverse countries and a little bit distinct depending on even if measuring put in skill or market shares. on the world level, ∆t is 26 years for means and 44 years for market share (R2 = 0.93). The determine for shares is bigger since it is partly a function of latest ability without FGD, i.e., the addition of skill without FGD lowers the share of FGD coal means, all else being equal. For the chosen countries, which can be leaders when it comes to FGD, ∆t is 5–25 years for ability and four–sixteen years for shares (together with only regressions with R2 > 0.ninety five). For a single nation, ∆t is an identical for shares and means, but diffusion times differ extensively between nations; moreover, world diffusion is slower than country wide diffusion since it is affected by the lag in adoption between countries.

at the world level—and within a number of important countries—the diffusion of FGD diverges from the classic S-formed curve and, consequently, has a reduce healthy with the logistic regression. They followed pulses of quick diffusion, mostly pushed by using stepwise increases in retrofit FGD. The ensuing stepwise diffusion may also be observed for the us, UK, Germany and South Korea. it is additionally apparent on the foreign degree with later-regulating countries driving strong raises in the world capacity of diffusion. The stepwise nature of diffusion can not be conclusively recognized for smaller nations since markets with few energy vegetation inherently show staggered adoption. Supplementary Fig. S1 suggests that two or three pulses can be observed for the U.S., UK, Germany and South Korea. Supplementary desk S2 shows that a logistic regression of a single pulse of diffusion for South Korea and Germany yields a plenty smaller ∆t than a regression over the whole length.

Explanations for the S-curve assume a inhabitants of adopters making independent adoption decisions35,36. When adoption choices are strongly influenced via a single actor, similar to a countrywide govt, the diffusion curve may additionally deviate from the S-form. as an instance, diffusion may also be exponential when the mandatory counsel for adoption is broadcasted instead of transferred from users to non-clients because it allows simultaneous adoption any place in the population37. The observed pulses within the diffusion of FGD are consistent with the expectations associated with the variety of decisionmakers: whereas the entire inhabitants of decisionmakers in the coal energy sector may be significant, their selections are closely influenced via those of a single government.

The punctuated pattern of diffusion is additionally in step with a pattern of coverage change through which intervals of coverage balance are interspersed with gigantic policy alterations (as described in punctuated equilibrium theory38,39). within the case of FGD, a policy exchange results in a burst of diffusion inside a subset of the country’s population of coal vigour instruments. After a length of stability, a 2nd coverage trade drives a subsequent burst of diffusion. Such spatial heterogeneity in adoption patterns is probably going when regulation performs a primary role in driving diffusion, which is ordinary for end-of-pipe toxins control7,13,14,15. In cases where adoption is easy (e.g., Japan), the emphasis is on new construct, which is discipline to sulfur rules but also strongly shaped through market decisions regarding the construction of new coal vigor.

Retrofit can diffuse certainly speedy

in the third step, they looked at explanations for speedy situations of diffusion. The stepwise trial of diffusion suggests FGD can diffuse very at once when demanded by means of government rules. according to the observed optimum adoption quotes, it looks to be technically feasible to fit a countrywide coal vigour fleet with FGD inside a number of years most effective (Germany accelerated its share of FGD from 10 to seventy nine% in four years). In selected, for late adopters, the formative phase4 of experimentation may be absent, and adoption will also be quickly from the beginning. for example, South Korea elements immediate and swift growth, profiting from technology spill-overs bobbing up from event in Germany, the U.S. and neighbouring Japan.

for brand new construct FGD, which requires new power vegetation, increase fees are restrained by using coal vigor market increase. despite being technically much less useful, retrofit FGD is for this reason able to diffuse greater unexpectedly, as evidenced via the rapid pulses of retrofit FGD diffusion in Fig. 1, most prominently in Germany and the uk. at the international stage, 5-12 months common boom elements for installed potential from 1980 to 2010 are usually larger for retrofit than for brand spanking new construct (see Supplementary Fig. S2). at the country level, logistic regressions of put in ability of retrofit and new build FGD feature an R2 of over 0.ninety five for less than three international locations, but in all cases, the ∆t for retrofit is shorter than for brand new build (see Supplementary desk S3).

The high charges of diffusion can also be partly explained by using the shortcoming of alternate options for sulfur handle besides FGD. The regulatory alterations that spurred diffusion of FGD often either without delay required end-of-pipe abatement or mandated emission mark downs that, at the time, could only be feasibly executed through FGD. For the U.S., it was previously discovered that the strict rules equated ‘settling on a expertise winner’ and that inner most funding and know-how studying wouldn't have passed off with out it40. this is prone to be the case for all international locations in their trial seeing that diffusion intently follows the introduction of regulatory requirements. The option abatement alternate options of IGCC and FBC play a restricted position (Poland, with eleven%, had the maximum share of FBC in 2010); youngsters, coal washing and gasoline switching as a substitute for FGD can't be ruled out according to their facts (see ‘strategies’).

FGD unit scaling has restrained have an impact on

in the fourth step, they looked at contributions to ability additions. They do not display explanatory variables but show how sulfur manage improved yearly via a rise in unit numbers or unit measurement of latest construct FGD, retrofit FGD, or superior combustion (FBC/IGCC). figure 3 shows the relative contributions of unit numbers, size and sort (the stacked bars) to annual world skill additions (the black line) of sulfur control in 1976–2010, in accordance with decomposition analysis (see ‘strategies’). terrible values take place when added capacity has a smaller average unit size than previous annual additions; the drop after 2005 is led to by pretty small chinese contraptions. The sum of the absolute values of the contributions explains one hundred% of the annual potential boom.

Fig. three: Contributions to annual additions of global coal capability with sulfur manage.

The bar chart indicates the relative contribution of quantity, measurement and sort of coal energy devices to annual additions of world coal vigor ability (simple axis). the line chart suggests the annual additions (GWe) on a logarithmic scale (secondary axis). source records are supplied as a source data file.

Unit scaling of technology is part of the natural construction of many technologies41 and frequently takes location after a dominant design42 has been established43. a regular pattern is that unit numbers pressure diffusion in the formative phase, with unit scaling fitting ordinary in a subsequent up-scaling part, after which unit numbers turn into the leading driver once more in the growth phase4. For the diffusion of FGD, these phases are linked to the same phases in coal vigour know-how construction, because both retrofit and new build FGD devices inherit their skill from coal vigour gadgets. FGD started in the early 70s when coal vigour entered the growth phase4 and most unit scaling had therefore already came about.

as a result of the maturity of coal energy technology, unit numbers normally contributed greater than unit scaling to increase in total sulfur control skill. In any given yr, unit scaling contributed at most 35% to boom in complete sulfur control. For retrofit, unit scaling turned into greater established in the early years, reflecting the maturation of the measurement of coal power gadgets and the transition from the up-scaling section to the increase phase. Unit scaling has a comparatively large contribution for retrofit (in comparison to new construct) as a result of coal vigour vegetation that are retrofitted are older and hence greater prone to date from the up-scaling section of coal energy. as a result of modular design, particular person accessories of FGD systems can also have scaled extra slowly than normal FGD systems.

The typical unit size of installed capacity of latest construct FGD became 1.eight (1.2–three.5) times larger than retrofit FGD. here's as a result of coal vigor gadgets have grown over time and retrofit FGD inherits unit dimension from coal potential constructed, on regular, decades past. because of its noticeably large unit size, new construct FGD gadgets on ordinary contribute greater than retrofit to the standard share of FGD. however, new build FGD cannot be concluded to be preferable since it raises absolute emissions of SO2 by using expanding complete coal energy means (except replacing retired coal vigor skill). This paradoxical effect—a rise instead of a reduce of emissions upon adopting new builds with pollution handle know-how—should still be regarded for any conclusion-of-pipe technology.

The spatial and temporal diffusion of FGD

in the fifth step, they analysed the validity of based insights concerning length, extent and time of adoption of power technologies, as described in a variety of studies6,18,34 together with one concerning FGD in the US, Japan and Germany10. They ran regressions for the biggest coal-consuming international locations within the database however excluded nations that had no FGD as of 2005. They also excluded regressions for time collection reaching <60% of the saturation level (extent) or with an R2 lower than 0.ninety five, in keeping with previous literature10,34. The resulting pattern size is 23 countries.

The period and extent of diffusion had been measured by respectively the ∆t and the saturation stage of the logistic regression; the time of adoption changed into defined because the first recording of a coal power unit with FGD (which may additionally had been preceded via pilot and demonstration facilities). determine 4 summarises the correlations between the three variables for each market share (a–c) and absolute potential (d–f) for coal vigor with FGD (retrofit and new build). For capacity, the extent was plotted because the log of capacity (MWe) (e, f).

Fig. four: The relationships between period, extent and time of adoption of FGD.

a–c exhibit the relationships for the diffusion of FGD measured in terms of market share. d–f reveal the relationships for the diffusion of FGD measured in absolute capacity. supply data are offered as a supply statistics file.

in step with the literature, they discover that later adopters are sooner adopters (a, d), that the extent is smaller for later adopters (b, e), and that diffusion to a stronger extent takes longer (c, f). The difference in correlations between market share and means metrics is partly caused by means of underlying trends in market dimension, which have an effect on the two symptoms differently. chiefly, late adopters are inclined to have smaller coal power markets (Supplementary Fig. S3), which makes the restrained extent of diffusion for later adopters extra famous when measuring absolute ability, and partly explains why late adopters can adopt quicker (other explanations consist of, among others, the relative maturity of the technology upon diffusion).

in response to the literature, the spatial diffusion of technologies tends to be gradual however pervasive in core regions, followed by way of faster but less pervasive diffusion in rim and periphery regions4,20,forty four. To establish such trends for the diffusion of FGD, they outline areas through 12 months of introduction of FGD: core (1970s), rim (Eighties) and periphery (Nineteen Nineties and 2000s). quite, the core place includes international locations that are a long way aside: the us, Germany and Japan. despite the fact, they were additionally the commercial powerhouses of the day, and spill-overs have doubtless occurred. much less fantastically, the rim place contains in most cases European states that border with Germany. The periphery contains European international locations extra from Germany, however also many other countries everywhere the globe—at this point, transfers and spill-overs may occur in many directions.

CCS modelling is basically in keeping with FGD journey

finally, in the sixth step, they assessed no matter if the fees of diffusion of CCS in local weather alternate mitigation fashions are in line with the historical adventure from FGD. latest reviews have in comparison the historical and modelled diffusion of quite a lot of applied sciences in IAMs however, although some cover each FGD and CCS7, none deliver an instantaneous comparison5,7,forty five,46. Following old work that suggests a bigger economic climate makes it possible for sooner diffusion as a result of industrial capability scales with the universal economy5,forty six, they behavior their analysis the use of both absolute (GW/decade) and normalised deployment charges (GW/decade/$T GDP).

We discover, first off, that FGD has diffused sooner than another accompanied vigor sector expertise: the normalised historical world maximum (in GW/decade/$T GDP) is greater for FGD than for coal and oil, natural fuel, nuclear, or any renewable power technology (see Supplementary table S4 for an in depth comparison). this implies that comparisons between CCS and power technologies that don't seem to be FGD, as at this time attainable in the literature5, result in comparatively low limits to feasible CCS diffusion, all else being equal. Their evaluation between CCS and FGD assumes beneficiant limits to the diffusion of CCS because FGD has historically subtle faster than any other energy know-how.

We compared old FGD diffusion with modelled diffusion of CCS in 1.5 °C and a pair of °C average global warming eventualities (see ‘strategies’). They used the situation database47 from the IPCC’s particular document on 1.5 °C of international Warming (SR15)3, which offers facts on coal, gasoline and bioenergy CCS (BECCS) deployments in these scenarios. This database gives appropriate information for less than three models. They for this reason increased the evaluation by way of additionally inspecting CCS deployments in the 450 ppm state of affairs (approximately corresponding to a 2 °C degree state of affairs) from the AMPERE situation database48,49. for a lot of fashions, state of affairs statistics are best available in 10-yr time steps, and their evaluation hence depends on decadal averages.

determine 5 indicates the maximum world old FGD diffusion cost (horizontal bar) and the diffusion quotes of CCS in 1.5 °C and 2 °C scenarios (the field and whisker plots). Panels a and b display that absolute international prices of CCS deployment in many eventualities exceed the latest swift international diffusion of FGD (731 GW/decade). youngsters, when normalised to control for increase in the global economic climate, c, d display that almost all eventualities feature reduce boom than the ancient event for FGD (eleven GW/decade/$T GDP). The optimum deployment fee for each model is listed in Supplementary Tables S5–S7. Assuming CCS should be expected to diffuse no quicker than FGD, their findings imply that the modelled pathways of CCS deployment are legitimate.

Fig. 5: comparison of modelled and historical optimum deployment of CCS.

The evaluation comprises coal, gas and bioenergy CCS (BECCS). Deployment of CCS is measured in absolute capacity (a, b) and potential normalised via revenue (c, d). The modelled information are for 1.5 °C (a, c) and a pair of °C (b, d) climate alternate eventualities. pattern sizes for the 12 container plots in a–d, studying each panel left to correct: N = 33, 33, 23, 37, 33, 27, 33, 33, 23, 37, 33, 27. boxes display the median and interquartile stages of situation facts. Whiskers show min/max values that lie inside 1.5 instances the interquartile latitude, and eventualities backyard this range are plotted as outliers. An outlier is excluded from the 2 °C eventualities of coal CCS—the IMACLIM AMPERE 450 situation reached >4000 GW/decade (absolute), and >36 GW/decade/$T GDP (normalised). The 1.5 °C situations are taken from the photograph, REMIND and aim/CGE fashions; 2 °C scenarios consist of these, and additionally scenarios from DNE21, POLES, MESSAGE, MERGE-ETL, WITCH and IMACLIM. supply records are offered as a source records file.

Consistency between old FGD diffusion and modelled CCS diffusion doesn't necessarily imply scenario feasibility. at the same time as retrofit played a crucial role within the speedy diffusion of FGD, many of the modelling scenarios for CCS fail to differentiate between retrofit and new construct, which complicates the comparison. furthermore, while the analogy between FGD and CCS is effective, there are huge transformations between them (even if utilized to coal or fuel), which should have an effect on anticipated diffusion fees; here is mirrored on in more element in the dialogue area. they now have included BECCS given strong policy and analysis debate in regards to the feasibility of swift BECCS deployment in IAM eventualities, but their comparison should still be handled with caution: an evaluation of the pleasing constraints on vigor technology from biomass – including regarding land-use change and competition with food production – are outside of the scope of this look at.

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CPP-Institute [1 Certification Exam(s) ]
CSP [1 Certification Exam(s) ]
CWNP [19 Certification Exam(s) ]
CyberArk [3 Certification Exam(s) ]
Dassault [2 Certification Exam(s) ]
DELL [18 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
DRI [1 Certification Exam(s) ]
ECCouncil [26 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [134 Certification Exam(s) ]
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ESPA [1 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [42 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
FCTC [2 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [34 Certification Exam(s) ]
Food [4 Certification Exam(s) ]
Fortinet [19 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
FSMTB [1 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [12 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [17 Certification Exam(s) ]
Google [14 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [30 Certification Exam(s) ]
Hortonworks [5 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [777 Certification Exam(s) ]
HR [4 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [34 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IAHCSMM [1 Certification Exam(s) ]
IAPP [1 Certification Exam(s) ]
IBM [1551 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [5 Certification Exam(s) ]
ISC2 [7 Certification Exam(s) ]
ISEB [25 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
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ITEC [1 Certification Exam(s) ]
ITIL [2 Certification Exam(s) ]
Juniper [68 Certification Exam(s) ]
LEED [1 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Linux-Foundation [1 Certification Exam(s) ]
Logical-Operations [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [27 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [4 Certification Exam(s) ]
Maintenance [1 Certification Exam(s) ]
McAfee [9 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [70 Certification Exam(s) ]
Microsoft [419 Certification Exam(s) ]
Mile2 [3 Certification Exam(s) ]
Military [10 Certification Exam(s) ]
Misc [2 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
MuleSoft [3 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [3 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [42 Certification Exam(s) ]
NetworkAppliances [1 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [8 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [38 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [320 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [6 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
PCI-Security [1 Certification Exam(s) ]
Pegasystems [21 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [16 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [7 Certification Exam(s) ]
PRMIA [2 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
Qlik [2 Certification Exam(s) ]
QlikView [3 Certification Exam(s) ]
Quality-Assurance [6 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [2 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [9 Certification Exam(s) ]
RSA [16 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [20 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [2 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
Scrum [1 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
ServiceNow [10 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
Software-Certifications [1 Certification Exam(s) ]
Splunk [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [137 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [19 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [7 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [34 Certification Exam(s) ]
Vmware [77 Certification Exam(s) ]
Watchguard [1 Certification Exam(s) ]
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