Economy
&Energy
Year III - No 17 November-December 1999
Main Page
Emission
of Thermo-electric
Power Plants
Is The Consumer Earning Market Power in
Electric Sector?
Petroleum And
Natural Gas In Espirito Santo
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Emission of Greenhouse
Effect Gases by Thermoelectric
Power Plants
(December 1999 Version)
e&e team
This work is part of the study on
emission of greenhouse effect gases resulting from the operation of the Brazilian
thermoelectric power plants in the period between 1990 and 1997 made for the Brazilian
Ministry of Science and Technology and PNUD.
SUPPORT:
Original Proposition (practically maintained)
The study was concentrated on three lines:
- survey of the thermoelectric power plants installed in the country by
technology type and evaluation of the fuel used in each one of them (the survey made is
not available in electronic media)
- evaluation of the contribution of each type of fuel to the emission of
the different greenhouse effect gases (CO2. CO, NOX, N2O, CH4 and NMVOC), according to the
respective technology (geographic distribution by state allows for considering the main
power plants);(Present report)
- projection of power plants emissions foreseen in ELETROBRÁS' Decennial
Expansion Plan. These values are compared to preliminary evaluations of economical
reference scenario carried out by e&e using information available from producing
companies (under study).
1.
Introduction
1.1 Participation of Thermoelectric Generation in Electricity Production
The generation of electrical energy by thermal power
plants is very limited and geographically localized. In Brazil there is a noticeable
predominance of hydraulic energy as primary source of electrical energy. Thermoelectric
and mineral coal power plants are located close to the mines in the south region.

Figure 1.1 Generation of the public utilities is
basically hydraulic, thermal participation is modest and the use of the existing capacity
has been subordinated to conjunctures - Data from BEM/MME 1998 (1.1).
As a strategic option, mainly after
the 1973 and 1979 petroleum shocks, all priority has been given to hydraulic generation
which, albeit renewable, is capital intensive.
Furthermore, fuel is consumed for this purpose with strong
regional predominance, noticeable diesel oil in the north and coal in the south. Fuel oil
is concentrated in the north and southeast regions and in the latter it is used to supply
eventual or seasonal needs of the interconnected net.
Table 1.1: Use of Fuel for Generating
Electricity in the Period 1990-1997 TJ/year
Fuel |
N |
NE |
SE |
CO |
S |
Diesel Oil |
39390 |
337 |
5428 |
5025 |
980 |
Fuel Oil |
13331 |
0 |
8237 |
304 |
8355 |
Coal |
0 |
0 |
0 |
38479 |
43737 |
Natural Gas |
0 |
69 |
491 |
0 |
0 |
TOTAL |
52721 |
405 |
14155 |
43808 |
53072 |
On the other hand, plant
distribution by state for public use is so specialized that it permits, as it will be
noticed, to practically individualize the consumption of the most important plants (coal
and fuel oil) by the consumption at the state level.

Figure 1.2 Generation in the public electric power
plants by fuel presents a notable concentration by state, fuel oil in AM, RJ and SP states
and coal in SC and RG states.
By fuel type, we have the distribution in the period
shown the following figure. Coal (4 plants) and fuel oil (3? Plants) represent 71% of fuel
consumed and they should be handled in a special way. The diesel oil plants can be handled
as a set or as main types.

Figure 1.3 Coal and fuel oil
represent 71% of the thermal energy in GJ used in thermal generation in the public power
stations (nuclear not included)

Figure 1.4 Participation of fuel oil in
CO2 generation sources has been replaced by vapor coal and diesel - Data from
BEN/MME
1998.
1.2 Auto-producers
Auto-producers have had an important role in
thermoelectric generation and this role has been growing with time as shown in the
following figure.

Figure 1.5. Thermoelectric
self-producer contributions are almost equivalent to that of public power plants - Data
from BEN/MME 1998.

Figure 1.6 In self-producers a much larger variety of
fuel is found, mainly fuel locally available or used in cogeneration processes - Data from
BEN/MME 1998.
Auto-producers deserve a separate
study, due to their importance, the diversity of fuel used and the sectors involved.
2. Public Electrical Power Plants
In December 1997 the installed capacity of the
public thermoelectric power plants was the following
Table 2.1 Installed Capacity by System
SYSTEMS |
INSTALLED
CAPACITY (MW) |
% OF THE
CAPACITY TOTAL |
| South/Southeast/Center-West |
3431 |
8 |
| North/Northeast |
299 |
3 |
| Isolated systems(*) |
1367 |
71 |
(*) They correspond to more than 300 localities
electrically isolated one from the other.
About 85% of the isolated systems are in the North
Region that includes the states of Amazonas, Roraima, Rondônia, Amapá and Acre. The
remaining 15% are distributed in the states of Pará, Maranhão, Tocantins, Pernambuco,
Bahia, Mato Grosso, Mato Grosso do Sul, Paraná and Rio Grande do Sul.
The thermoelectricity generation percentage by
region and by fuel type in December 1997 are the following one:
Table 2.2 Thermoelectricity Generation Percentage by Region and by Fuel Type
REGION |
FUEL OIL
|
DIESEL OIL |
COAL |
| North |
20 |
80 |
0 |
| Northeast |
0 |
100 |
0 |
| Southeast (*) |
97 |
3 |
0 |
| South |
0.67 |
0.56 |
98.76 |
| Center-West |
0 |
100 |
0 |
(*) Nuclear generation is not included
3 Coal Thermoelectric Plants
3. General Aspects
Generation using vapor coal is located in 4 power
plants associated with mines near to the plants. They are:
| PLANT |
LOCALIZATION AND OPERATOR |
UNITS AND POWER |
START OF OPERATION |
| Jorge Lacerda |
Tubarão - SC / ELETROSUL |
2 X 50 MW |
1961 e 1963 |
|
|
2 X 66 MW |
1972 |
|
|
2 X 125 MW |
1977 |
|
|
1 x 350 MW |
1997? |
| Charqueadas/ Jacuí |
RS - ELETROSUL |
4 X 18 MW |
1956-1968 |
|
|
350 MW |
1999? |
| Candiota |
RS - CEEE |
2 X 63 MW |
1974 |
|
|
2 X 160 MW |
1986 |
|
|
350 MW |
2003? |
| Cambuí |
PR |
|
|
The fact that these plants use different types of
specific coal differentiated by their calorific power permits using the available data at
the state level in order to evaluate with good approximation the emission of each plant.
For the first three plants there is a specific study relative to the emissions and that
was carried out by JICA/ELETROSUL/CEEE (2.1).
3.2 Emission Parameters
3.2.1 - Efficiency
The study surveyed for different operation
conditions the SO2. NOx and particulate emissions for these plants using fuel with
different calorific power and different sulfur content. The study calculated as well the
dispersion of the pollutants. Furthermore, operational data such as gas temperature and
velocity in the chimney, generated power and quantity of consumed fuel are given. The
operational data and the fuel characteristic, namely ash and sulfur content, were supplied
by the power plants.
The operational efficiency was inferred for different
operation conditions and they are shown in Table 3.2 for the three plants.

Figure 3.1 Efficiency does not depend on the operation
range studied relative to the nominal power. The large units show a larger efficiency
Table 3.1
| Power Plant and size of production units |
Efficiency |
Coal
Calorific Power |
Power
relative to the nominal one |
Jorge Lacerda |
|
|
|
50 Mw Production
Units |
26.8% |
4550-4850 |
56-90% |
66 Mw Production
Units |
34.1% |
4500-4600 |
68-88% |
125 Mw
Production Units |
30.8% |
4460-4580 |
64-100% |
Charqueadas |
|
|
|
18 Mw Production
Units |
19.3% |
3050-3180 |
82% |
Candiota |
|
|
|
50 Mw Production
Units |
24.3% |
3050-3250 |
50% |
160 Mw
Production Units |
22.8% |
3140-3240 |
51% |
Efficiencies were not sensitive
to operational range 50% above the nominal power. Variations of the coal calorific power
were not significant in each unit so that the influence of this factor might be verified.
Since they belonged to different batches (different days and different ash and sulfur
content) this might be an indication of stability of these characteristics. In different
units of the same plant the variation is significant which makes it preferable whenever
possible to use directly coal consumption and checking efficiencies through electric
generation data.
3.2.2 SO2 and NOx Emissions
SO2 , NOx and particulate emissions were
specifically studied by JICA. Some contradictory facts could be observed such as values of
sulfur emission having mass values superior than those indicated for the fuel. The
following graphic illustrates this fact.

Figure 3.2 A systematic difference was detected
between the emitted sulfur that was systematically superior to that indicated for coal.
Apparently these are systematic
errors in determining the coal sulfur content or emissions (or in our interpretation). It
is noticeable, on the other hand, a good relative correlation. The calculated sulfur
emission in the referred study are coherently much lower than those measured. It could
have been an interpretation error in the sulfur content values that might be, for this
plant, related to the carbon mass and not to the fuel. Considering this hypothesis, the
correction yields a much more coherent value. Furthermore, the content supplied - 1.9% -
is in contrast to that supplied in INFORMATIVO ANUAL DA INDÚSTRIA CARBONÍFERA 1994.
Ministério de Minas e Energia for the referred mine. Adopting the hypothesis that the
contents refer to the coal without ash one finds emission value (sulfur retention about
23%) and content value - 3.4% that seem more coherent. For the present work we
preliminarily adopted values corrected in this way.
Values obtained for the three plants in different
measurements in some units in each plant

  
Figure 3.3 - Declared sulfur contents and sulfur emissions show some apparent
incoherence
The parameter mass of S emitted by TJ
of burnt fuel permits to directly infer emissions from consumed fuel and when available
the sulfur content. In the case of the Candiota plant there is an apparent incoherence
between the variation in emissions and the relative stability of sulfur content indicated
for the coal. As the methodology used for detecting emissions was adequate for other
cases, the reliability of the ore analysis should be verified.
In the table below we indicate the values of the
coefficients obtained for sulfur emission. For the Jorge Lacerda Plant we have considered
the content values corrected as mentioned above.
Plant |
S tons by TJ of fuel |
% of S in the fuel |
Retention of sulfur
contained in the fuel |
Jorge Lacerda: |
1.34 ± 0.21 |
3.35 ± 0.7 % |
0.4 % |
Charqueadas |
0.65 ± 0.20 |
0.85 ± 0.13 % |
23.1 % |
Candiota |
0.95 ± 0.43 |
1.66 ± 0.07 % |
23.3 % |
In case the sulfur content for the
several years should be available, the retention mentioned in the previous item should be
used excepting plant's indication about process variations.
NOx emissions were measured by JICA and the following
parameters were found for the three plants. These values are given in the table below.
Plant |
Jorge Lacerda: |
Charqueadas |
Candiota |
NOx t/TW |
233 |
102 |
144 |
The authors of JICA's work observe
that NOx emissions are low due to low temperatures in the boiler. Measurements were
carried out in external environmental sampling points relative to the NO2/NOx ratio but as
no values for O3 are available it was not possible to model the dispersion. The NO2
indexes observed were lower than the usual ones as well as those for NOx. In the present
evaluation we have considered that the indicated default values for the parameters' ratio
are maintained.
Note: The relative emission of particulate may
indicate incomplete combustion. The material collected in the precipitators (of relatively
low efficiency) is re-injected in the boilers. This is an indication that the material was
not burnt. An analysis of combustion data may eventually supply data about non- burnt
carbon and CO emission. Temporally, a parametric evaluation of these emissions was made.
3.3 Emission comparisons using global and
specific parameters
Data of JICAS' study were collected in 1996. For
this same year global data by state specifying coal type are available. This practically
allows for identifying the quantity of coal consumed by plant as shown in the following
tables.
Fuel or Plant |
State Mcal/kg |
Con-
sumption E03t |
Con- version factor (TJ/E03 t) |
N2O con-
version factor (kg/TJ) |
NOx con-
version factor (kg/TJ) |
Sulfur content in fuel (%) |
Sulfur retention in ash (%) |
Reduction efficiency (%) |
CV 3100 |
RS |
470 |
12.98 |
1.4 |
300 |
1 |
0.05 |
0 |
CV 3300 |
RS |
1387 |
13.82 |
1.4 |
300 |
1.5 |
0.05 |
0 |
CV 4500 |
SC |
1621 |
18.84 |
1.4 |
300 |
3.5 |
0.05 |
0 |
CV 6000 |
PR |
26 |
25.12 |
1.4 |
300 |
6.5 |
0.05 |
0 |
|
Charqueadas |
3128 |
442 |
13.09 |
0.5 |
102 |
0.85 |
|
0.4 |
Candiota |
3205 |
1426 |
13.41 |
0.7 |
145 |
1.66 |
|
23.1 |
Jorge Lacerda |
4582 |
2228 |
19.17 |
1.1 |
233 |
3.35 |
|
23.3 |
Cambuí |
6000 |
26 |
25.12 |
0.5 |
100 |
6.5 |
0.05 |
0 |
From these parameters one can obtain
the emission due to the plant and/or the fuel type by state that, as can be observes, is
bi-univocal. In this case the available data permit to estimate performance of the plants.
SO2 Emissions
Fuel or Plant |
Fuel consumption (TJ) |
Sulfur content (%) |
Retention of sulfur in ash (%) |
Abating efficiency (%) |
Net Calorific Value (TJ/kt) |
SO2 emission factor (kg/TJ) |
SO2 emissions (t) |
CV 3100 |
6101 |
1 |
0.05 |
0 |
13.0 |
1540 |
9395 |
CV 3300 |
19168 |
1.5 |
0.05 |
0 |
13.8 |
2170 |
41589 |
CV 4500 |
30540 |
3.5 |
0.05 |
0 |
18.8 |
3714 |
113413 |
CV 6000 |
653 |
6.5 |
0.05 |
0 |
25.1 |
5173 |
3378 |
TOTAL |
|
|
|
|
|
|
167776 |
Charqueadas |
5785 |
0.85 |
0 |
0.4 |
13.1 |
1300 |
7521 |
Candiota |
19124 |
1.66 |
0 |
23.1 |
13.4 |
1908 |
36488 |
Jorge Lacerda |
42719 |
3.35 |
0 |
23.3 |
19.2 |
2676 |
114326 |
Cambuí |
653 |
6.50 |
0 |
0.0 |
25.1 |
5175 |
3380 |
TOTAL |
|
|
|
|
|
|
161714 |
NOx and N2O Emissions
Fuel |
Consumption
(TJ) |
N2O emission
factor (kg/TJ) |
N2O emissions
(Gg) |
NOx emission
factor (kg/TJ) |
NOx emissions
(Gg) |
CV 3100 |
6101 |
1.4 |
0.0085 |
300 |
1.83 |
Cv 3300 |
19168 |
1.4 |
0.0268 |
300 |
5.75 |
Cv 4500 |
30540 |
1.4 |
0.0428 |
300 |
9.16 |
CV 6000 |
653 |
1.4 |
0.00091 |
300 |
0.19 |
TOTAL |
|
|
0.0790 |
|
16.94 |
Charqueadas |
5785 |
0.5 |
0.0027 |
102 |
0.59 |
Candiota |
19124 |
0.7 |
0.0129 |
145 |
2.76 |
Jorge Lacerda |
42719 |
1.1 |
0.0464 |
233 |
9.94 |
Cambuí |
653 |
0.5 |
0.0003 |
100 |
0.07 |
TOTAL |
|
|
0.0623 |
|
13.36 |
3. Fuel Oil
Plants
3.1 General Aspects
Electricity generation by public plants is limited
to the states of Amazonas, São Paulo, Rio de Janeiro, Rio Grande do Sul and Minas Gerais.
The table below summarizes the characteristics of these
plants:
Table 3.1 Fuel Oil Thermal Plants
PLANT |
LOCALIZATION |
POWER (MW) |
| New Plant UT Porto Alegre |
Porto Alegre, RS |
24 |
| Oswaldo Aranhas |
Alegrete, RS |
66 |
| Camaçari |
Camaçari, BA |
290 |
| Santa Cruz |
Rio de Janeiro, RJ |
600 |
| Roberto da Silveira |
Campos dos Goytacazes, RJ |
30 |
| Igarapé |
Igarapé, MG |
131 |
| Carioba |
Americana, SP |
36 |
| Piratininga |
São Paulo, SP |
470 |
| Mauá |
Manaus, AM |
137 |
3.2 Fuel Oil Consumption by State
Table 3.2 Fuel Oil Consumption for Electricity Generation in the States in 1000t/year
|
AM |
MG |
RJ |
SP |
RS |
1990 |
139 |
0 |
70 |
45 |
35 |
1991 |
209 |
0 |
42 |
50 |
56 |
1992 |
271 |
29 |
52 |
52 |
46 |
1993 |
177 |
34 |
67 |
36 |
49 |
1994 |
225 |
30 |
83 |
68 |
43 |
1995 |
250 |
34 |
74 |
25 |
35 |
1996 |
219 |
31 |
286 |
263 |
39 |
1997 |
227 |
83 |
301 |
107 |
40 |

The results are parametric for the moment. When data
concerning the fuel oil used are available the results will have a better precision. It
can be noticed that data by state are satisfactory
- Minimal Data Necessary about the Fuel
Calorific Power
Sulfur Content
Composition (C/H ratio is useful)
- Data concerning the plants
Operation scheme with characteristics of main
components associated with combustion
Specific emission data for the plants or for similar ones
4. Emission by State
4.1 General Aspects
Parametric tables were elaborated by state and
by year and the consumption by fuel type and by year. Multiplying these parameters (as
shown for coal) permits to evaluate the emission of each state.
Presently there are some differences concerning fuel type (with
subdivisions for coal) and some characteristics already obtained for the main plants
(coal). The Excel tables allow for automatic updating the global results.
4.2 Preliminary Results
Some preliminary results are already available.
Those for 1997 and 1991 are shown below. The unit is Gg (gigagram).
EMISSIONS BY STATE AND REGION- YEAR 1997
|
CO2 |
CH4 |
N2O |
NOx |
CO |
S |
| NORTH |
3726.350 |
0.151 |
0.030 |
10.078 |
0.756 |
129.043 |
| Rondônia |
456.396 |
0.019 |
0.004 |
1.245 |
0.093 |
16.223 |
| Acre |
199.937 |
0.008 |
0.002 |
0.545 |
0.041 |
7.107 |
| Amazonas |
2180.649 |
0.088 |
0.018 |
5.862 |
0.440 |
74.099 |
| Roraima |
330.416 |
0.014 |
0.003 |
0.901 |
0.068 |
11.745 |
| Pará |
257.865 |
0.011 |
0.002 |
0.703 |
0.053 |
9.166 |
| Amapá |
296.109 |
0.012 |
0.002 |
0.808 |
0.061 |
10.526 |
| Tocantins |
4.977 |
0.000 |
0.000 |
0.014 |
0.001 |
0.177 |
|
|
|
|
|
|
|
NORTHEAST |
6.279 |
0.000 |
0.000 |
0.017 |
0.001 |
0.223 |
| Maranhão |
1.145 |
0.000 |
0.000 |
0.003 |
0.000 |
0.041 |
| Pernambuco |
2.655 |
0.000 |
0.000 |
0.007 |
0.001 |
0.094 |
| Bahia |
2.480 |
0.000 |
0.000 |
0.007 |
0.001 |
0.088 |
|
|
|
|
|
|
|
| CENTER-WEST |
197.265 |
0.008 |
0.002 |
0.538 |
0.040 |
7.016 |
| Mato Grosso do Sul |
7.311 |
0.000 |
0.000 |
0.020 |
0.001 |
0.260 |
| Mato Grosso |
189.954 |
0.008 |
0.002 |
0.518 |
0.039 |
6.752 |
| Goiás |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
| Distrito Federal |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.004 |
|
|
|
|
|
|
|
SOUTHEAST |
9003.754 |
1.427 |
0.148 |
209.737 |
27.763 |
41.063 |
| Minas Gerais |
0.287 |
0.000 |
0.000 |
0.001 |
0.000 |
0.010 |
| Espirito Santo |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
| Rio de Janeiro |
8657.249 |
1.414 |
0.145 |
208.832 |
27.695 |
30.356 |
| São Paulo |
346.218 |
0.014 |
0.003 |
0.904 |
0.068 |
10.697 |
|
|
|
|
|
|
|
SOUTH |
696.691 |
0.076 |
0.097 |
20.998 |
1.404 |
218.244 |
| Paraná |
10.317 |
0.001 |
0.001 |
0.283 |
0.019 |
4.863 |
| Santa Catarina |
403.094 |
0.043 |
0.059 |
12.660 |
0.845 |
156.694 |
| Rio Grande do Sul |
283.281 |
0.032 |
0.037 |
8.055 |
0.541 |
56.687 |
|
|
|
|
|
|
|
| TOTAL |
13630.340 |
1.662 |
0.277 |
241.368 |
29.964 |
395.589 |
EMISSIONS BY STATE AND REGION - YEAR 1991
|
CO2 |
CH4 |
N2O |
NOx |
CO |
S |
NORTH |
1903.917 |
0.077 |
0.015 |
5.114 |
0.384 |
64.533 |
| Rondônia |
312.138 |
0.013 |
0.003 |
0.851 |
0.064 |
11.095 |
| Acre |
190.657 |
0.008 |
0.002 |
0.520 |
0.039 |
6.777 |
| Amazonas |
1030.494 |
0.041 |
0.008 |
2.732 |
0.205 |
33.486 |
| Roraima |
182.783 |
0.007 |
0.001 |
0.499 |
0.037 |
6.497 |
| Pará |
163.099 |
0.007 |
0.001 |
0.445 |
0.033 |
5.798 |
| Amapá |
14.341 |
0.001 |
0.000 |
0.039 |
0.003 |
0.510 |
| Tocantins |
10.405 |
0.000 |
0.000 |
0.028 |
0.002 |
0.370 |
|
|
|
|
|
|
|
NORDEAST |
1949.304 |
0.080 |
0.016 |
5.324 |
0.400 |
69.279 |
| Maranhão |
7.311 |
0.000 |
0.000 |
0.020 |
0.001 |
0.260 |
| Pernambuco |
1940.316 |
0.079 |
0.016 |
5.292 |
0.397 |
68.971 |
| Bahia |
1.677 |
0.000 |
0.000 |
0.012 |
0.001 |
0.048 |
|
|
|
|
|
|
|
CENTER-WEST |
286.680 |
0.012 |
0.002 |
0.782 |
0.059 |
10.190 |
| Mato Grosso do Sul |
11.192 |
0.000 |
0.000 |
0.031 |
0.002 |
0.398 |
| Mato Grosso |
172.379 |
0.007 |
0.001 |
0.470 |
0.035 |
6.127 |
| Goiás |
1.876 |
0.000 |
0.000 |
0.005 |
0.000 |
0.067 |
| Distrito Federal |
101.234 |
0.004 |
0.001 |
0.276 |
0.021 |
3.598 |
|
|
|
|
|
|
|
SOUTH-WEST |
302.009 |
0.012 |
0.002 |
0.790 |
0.059 |
9.350 |
| Minas Gerais |
0.073 |
0.000 |
0.000 |
0.000 |
0.000 |
0.003 |
| Espirito Santo |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
| Rio de Janeiro |
140.143 |
0.006 |
0.001 |
0.367 |
0.028 |
4.348 |
| São Paulo |
161.793 |
0.006 |
0.001 |
0.422 |
0.032 |
4.999 |
|
|
|
|
|
|
|
SOUTH |
534.307 |
0.059 |
0.071 |
15.458 |
1.036 |
80.182 |
| Paraná |
6.880 |
0.001 |
0.001 |
0.198 |
0.013 |
2.561 |
| Santa Catarina |
192.599 |
0.021 |
0.028 |
6.096 |
0.407 |
43.214 |
| Rio Grande do Sul |
334.828 |
0.038 |
0.042 |
9.164 |
0.616 |
34.407 |
|
|
|
|
|
|
|
| TOTAL |
4976.217 |
0.239 |
0.107 |
27.469 |
1.937 |
233.535 |
Graphics



Tables by type of emission are also available for the
studied years as shown in the two examples below.
CO2
EMISSIONS BY STATE
YEAR |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
|