SYNOPSIS Top

Energy is a vital component in rural industries such as the Agro processing industries and the brick and tile industries. In rural areas, population pressure and low agricultural productivity are among factors forcing people into marginal and ecologically fragile lands. Forests are being logged to meet the energy demand of a region in addition to clearing forests for agricultural purposes to meet the demand of food. Soil erosion, siltation and floods are a consequence of the destruction of forests. The low productivity in agricultural lands and the lack of alternative employment opportunities in rural areas has resulted in large-scale migration to urban areas in search of jobs. In this context, industries in rural areas would help in arresting rural migration to urban areas and help to improve the economic status of local people in the region. For the sustainable development of a region, industrialisation is to be supplemented with integrated energy planning approaches. It is therefore necessary to look for alternative sources of energy which are renewable in nature and which could be harnessed in a decentralised way. The energy efficiencies of end use devices could be improved and numerous opportunities exist for the development of industrial process with greater efficiencies.

Energy auditing carried out in sample rural industries has revealed a wide disparity in energy consumption to produce the same quantity of similar products. About 60% of the sample units have Percentage Production Capacity Utilisation (PPCU) less than 50% and higher Specific Energy Consumption (SEC) and Energy Intensity (EI). The wide variations in EI in the Cashew Industries from 4.49 kg of fuel wood per kg of kernel to 8.66 kg of fuel wood per kg of kernel reveals the scope for energy conservation to be in the order of 30 to 48%. It has been noticed that optimal utilisation of installed capacity (better PPCU) would help in energy conservation. The energy analyses carried out reveals that the relationship between SEC and Production (Pr) fits a power law with an exponent less than one. This indicates an improvement of SEC with increase in production, which, in turn, implies the optimal utilisation of installed production capacity.

An overview of the Small Scale Industries in Karnataka State, India, is also given in this paper from the point of their spatial distribution, investment costs, industrial growth rate and employment generation. Even though these aspects are not directly connected to the energy consumption patterns, they throw light on developmental aspects and hence indirectly influence energy and the environment.

INTRODUCTION Top

Our primary needs for energy - heat and light to sustain life on earth - are obtained from the sun. With increasing dependence on acquired forms of energy, energy has become an important need in out life. Generation, transportation/transmission, distribution and usage in end use devices are the main components in the energy system. Energy is obtained from resources, which can be broadly categorised as renewable and non-renewable or depletable. These resources are converted in to a form desired by the end user. The conversion of energy from one form to another form results in a loss of some useful energy (law of entropy). In a complex system with a large number of conversions, the losses are considerable.

Renewable sources [1] are available all the time, while the depletable resources such as coal, oil, or uranium, were stored over a period of millions of years. Renewable energy can be obtained from the sun either directly (providing light and drying of grain and other materials, heating of earth), or indirectly (wind, hydro, biomass and firewood). Firewood is a renewable resource, only if our annual consumption equals or is less than the annual production. To cater for the needs of a growing population for cooking and rural industries it is necessary to:

Thus the energy has been a dynamic force in accelerating the growth and development of human society. The demand for energy is not an end in itself but for the services such as heating, lighting, mechanical power and other services that satisfy human needs. This necessitates the need for proper energy management taking into consideration the satisfaction of basic human needs through economically feasible, energy efficient, environmentally sound and viable options. These include:

This highlights the need for integrated regional planning [2], based on a detailed look at how energy is used rather than the traditional preoccupation with energy supply and aggregate demand.

Maximum thermodynamic efficiency and maximum cost effectiveness in energy use are the two principles that govern energy conservation policies. The efficiency of energy use depends on thermodynamics, and the cost of energy use responds to the economics of resource allocation. In any region where the energy supply structure is vulnerable, the conservation of energy is a very effective way to alleviate energy constraints.

KARNATAKA'S ENERGY SCENE Top

Karnataka does not have any coal deposits. It gets its coal from external sources. Electrical energy for Karnataka was purely hydro, but with the commissioning of the Raichur thermal power station, it also gets electrical energy from coal. The other major source of commercial energy - oil - is also not available in Karnataka. Hence the main source of commercial energy for the state comes from hydroelectric plants. These plants have large reservoirs to store rainwater throughout the year, the dams being built in prime forest areas thereby submerging sizable areas of forest. It is shown by a study that we can obtain a comparable quantity of energy from forest biomass instead of water from the submerged areas. An ideal solution would be to go in for a set of peaking power plants with minimum storage, which utilises rainwater during the monsoon period and supplemented by firewood-based thermal power plants.

It can be seen that Karnataka State depends both on commercial and non-commercial forms of energy [3]. Non-commercial energy provided over half the supply from sources such as firewood, agricultural residues, charcoal and cow dung. Commercial energy provided the rest, mainly through electricity, oil and coal. Table 1 lists the energy sources meeting the demand for energy during the year 1990-91.

The largest single source is firewood. Electricity represented over half the commercial energy demand for 1990-91. Agro wastes are also used for energy purposes. The total share of industries in energy demand is around 44%. The state generated 12,430 million units of electrical energy in 1990-91. Irrigation pumpsets used 36.26% of total electrical energy. This was followed by heavier industries with a share of 34.34%, domestic lighting 15.35%, light industries 9.90%, commercial lighting 2.23%, public lighting 1.24% and others (0.68%).

The present study mainly concentrates on the energy use pattern study in rural industries in Karnataka State, India, by collecting secondary data from various government agencies and conducting a primary survey of a sample at Kumta taluk in Uttara Kannada District.

Table 1 Energy in Karnataka during 1990-91 (in million tons of oil equivalent).

Source

Demand (mtoe)

% share

Coal

1.005

5.81

Kerosene

0.445

2.57

Oil (HSD, LDO, etc)

2.014

11.64

LPG

0.130

0.75

Electricity

4.510

26.06

Commercial Energy Total

8.105

46.84

Agricultural Residues

1.510

8.73

Firewood

7.440

42.99

Biogas, Cow dung etc

0.250

1.44

Non Commercial Energy Total

9.200

53.16

Total Energy during 1990-91

17.055

100.00

INDUSTRIES IN KARNATAKA Top

Industry is playing a pivotal role in the development of Karnataka State. The secondary sector in the State accounts for nearly a quarter of the State income (in real terms) of the total output in the economy [4]. The average annual growth rate of industrial production over the period from 1981-82 to 1990-91 was about 6.4% as against 7.9% in the country as reflected in the index of industrial production.

Small Scale Industries: an Overview. The basic framework for the industrial policy of the government was first spelled out in the industrial policy resolution of 1956, with an emphasis on the development of small scale industries. Small, medium and large industries have been assigned a mutually complementary role with a view to facilitate an integrated and harmonious growth of the industries sector as whole and with the objective of economic growth with social justice.

The policy measures, announced in 1991 by the government provided further impetus to the growth of the small sector. The primary objective of the 1991 policy measure was to impart more vitality and growth impetus to the sector to enable it to contribute fully to the economy, particularly in terms of growth of output and employment. As per the recent policy (1991), in small scale industries undertaking the investment in fixed assets in plant and machinery whether held on ownership terms, or on lease or by hire purchase does not exceed Rupees (Rs) 60 lakhs.

The spectrum of industries ranges from unorganised traditional sectors and modern small-scale sectors to large and medium scale industries. The traditional sector and small scale sector provides maximum employment (413.39 lakhs in 1989-90) and constitutes an important component of the economy. In terms of value added it is estimated to contribute 50% of the value added in the manufacturing sector. The uniform distribution and growth in this sector besides resulting in preponderance of self-employment and under dispersal of industrial and economic activities, ensures maximum utilisation of both human and material resources. The economics of production is important in small-scale industries. Energy consumption plays a key and dominant role in the production economics of these industries. The small-scale industries sector plays an important role in the industrial economy of the state. It contributes substantially to the industrial production and in generating employment. These industries are dispersed all over the state, however there is disparity in regional distribution. Table 2 illustrates the growth of small-scale industries in Karnataka since 1969-70. The growth in last decade is phenomenal as the number of industries has increased from 37,148 to 129,915 with a percentage annual growth rate of 15.01 % and percentage annual growth in manpower employed of 13.58%. Table 3 gives the cumulative information of SSI's from 1982-83 to 1991-92 for each district while Table 4 gives percentage yearly increases. From Table 3 it is evident that the Bangalore district with 27,691 leads all other districts. The increase in the number of industries in the decade is given in Table 5a. Belgaum has annual average growth of 18.61 % while for Bangalore it is 9.31 %. Information regarding the number of industries, investment, and manpower employed in the SSI sector at the end of financial year 1991-92 is listed in Table 5b. The percent number of units varies from a low value of 1.15% (for Kolar District) to a high value of 21.97% (for Bangalore district). Investment per job computed for each district reveals a variation from Rs.9539.20 per person for Dharwad to Rs.22652.09 per person for Dakshina Kannada, indicating that some industries are capital intensive.

Workers in manufacturing and household industries are listed in the eleventh column of Table 5b. The share of manpower in SSI to the total manpower in the industries sector shows a variation of 16.67% for Chitradurga and 18.27% for Dakshina Kannada to 88.34% for Dharwad, 93.74% for Chikmagalur and 97.08% for Raichur. The lower values for Chitradurga and Dakshina Kannada are mainly due to the presence of large number of household industries in these districts. Most of these units are located in rural areas.

Dispersal of small scale units. The second census of registered small scale units [5] conducted by the Directorate of Industries and Commerce of 40,525 industries reveals that 38.14% of total Industries are located in rural areas, while 49.97% in urban area and 11.86% units in metropolitan city of Bangalore as indicated in Table 6a. A look at the employment generated in these industries reveals that 40,525 units have provided employment to 244,039 persons (shown in Table 7). The food products sector (National Industry Code: NIC 20 &21) leads with 19.4% of total employment. This is followed by machinery and parts units (8.65%), Non metallic mineral products 8.33%. Table 6b gives information regarding dispersal of units in nature of activities (major activities such as repairing, servicing etc).

Table 2 Growth of Small Scale Industries in Karnataka.

Year (1900s)

No of SSI units (Registered)

Investment (Rs. in lakhs)

Manpower employed

SSI units (cumulative)

Investment (Rs. in lakhs) (cumulative)

Manpower (cumulative)

Investment per job (Rs./job)

% annual growth

Units Investment Manpower

69-70

3890

3456.70

47960

3890

3456.70

47960

7207.46

70-71

1908

2279.43

44295

5798

5736.13

92255

6217.69

49.05

65.94

92.36

71-72

2372

1309.39

21343

8170

7045.52

113598

6202.15

40.91

22.83

23.13

72-73

2272

1350.10

22490

10442

8395.62

136088

6169.26

27.81

19.16

19.80

73-74

3043

1638.23

21814

13485

10033.85

157902

6354.48

29.14

19.51

16.03

74-75

1907

3991.27

56043

15392

14025.12

213945

6555.48

14.14

39.78

35.49

75-76

1562

1642.36

12783

16954

15666.48

226728

6909.81

10.15

11.70

5.97

76-77

1420

1482.51

15406

18374

17148.99

242134

7082.44

8.3B

9.46

6.79

77-78

1621

1517.11

24750

19995

18666.10

266884

6994.09

8.82

8.85

10.22

78-79

1975

1451.46

16957

21970

20117.56

283841

7087.62

9.88

7.78

6.35

79-80

2910

3255.01

34376

24880

23372.57

318217

7344.85

13.25

16.18

12.11

80-81

2776

3041.83

26164

27656

26414.40

344381

7670.11

11.16

13.01

8.22

81-82

3396

4955.16

41375

31052

31369.56

385756

8131.97

12.28

18.76

12.01

82-83

6096

6255.29

46420

37148

37624.85

432176

8705.91

19.63

19.94

12.03

83-84

7479

6396.51

44282

44627

44021.36

476458

9239.29

20.13

17.00

10.25

84-85

11962

6324.31

55849

56589

50345.67

532307

9458.01

26.80

14.37

11.72

85-86

11634

3787.09

60796

68223

54132.76

593103

9127.04

20.56

7.52

11.42

86-87

11179

9408.47

56883

79402

63541.23

649986

9775.78

16.39

17.38

9.59

87-88

10530

10165.19

52498

89932

73706.42

702484

10492.26

13.26

16.00

8.08

88-89

9811

10532.77

50448

99743

84239.19

752932

11188.15

10.91

14.29

7.18

89-90

9700

11247.02

51521

109443

95486.21

804453

11869.71

9.72

13.35

6.84

90-91

9884

11843.16

53568

119327

107329.37

858021

12508.94

9.03

12.40

6.66

91-92

10588

18623.11

61903

129915

125952.48

919924

13691.62

8.87

17.35

7.21

TOTAL

129915

125952.48

919924

Average

16.26

17.50

14.76

The total production of the 40,525 units surveyed was Rs. 2,52,687 lakhs. Out of this 28.32% is by food products, metal products (12.39%), and paper products (11.46%). This is illustrated in Table 7. The food products sector constitutes a major component in the SSI sector and most of these units are located in rural areas of Karnataka. As rural industries are one of the prime actors in the rural energy scene, further study is carried out on industries located in rural areas.

Rural Energy Scenario. Rural energy supply is closely tied in with agricultural and forest production, and with an overall crisis of agricultural productivity and environmental degradation linked to modernisation and changes in land use. The rural community depends mainly on non-commercial energy for domestic and rural industrial needs [6]. If new energy strategies are to be successful, rural energy needs will have to be placed squarely in the context of integrated approaches to rural development, basic needs and general questions of rural poverty, land and other scarce resources. With the emphasis on rural development by the government, rural industries are gaining importance. This paper attempts to focus on the various ecological parameters, such as energy conservation and raw material availability, involved in the successful functioning of rural industries.

The rural industries are important to the stability and growth of the regional economy. They have a significant role in averting migration of rural people to urban areas and cities which in turn cause the start of new slums and hence lead to environmental and ecological problems. The rural industries thus help in the well-being and survival of rural communities. The rural industries process local raw materials, they also tend to rely on local sources such as firewood and agricultural residues for the heat energy they need.

Wood is the traditional domestic fuel in rural areas. With the depletion of forest resources, the financial viability of many industries is threatened due to the increase in fuel wood prices and the lack of technical and financial assistance to switch over to alternate fuels. Although conventional fuels

Table 3 Number of Units, Investment and Manpower details in Small Scale Industries (cumulative for each District).

Year

1982-83

1983-84

1984-85

1985-86

Investment

Man-

Investment

Man-

Investment

Man-

Investment

Man-

District

Units

(Lakhs)

power

Units

(Lakhs)

power

Units

(Lakhs)

power

Units

(Lakhs)

power

Bangalore

11368

14381.78

156691

13138

15589.10

165515

13127 15248.40

149436

15254

16942.11

158560

Belgaum

2010

1856.93

16082

3438

2319.77

20715

4102

2490.98

22693

5283

3329.12

27628

Bellary

1530

788.16

8133

2041

1121.29

11271

2135

1222.58

11531

2634

1395.70

14156

Bidar

625

400.79

5790

989

703.05

7920

1077

707.17

8036

1330

917.22

9364

Bijapur

1282

604.15

12979

1693

799.25

14973

1890

919.56

15573

2321

1052.57

17579

Chickmagalur

598

380.12

4503

980

636.59

6065

917

492.67

5182

1134

618.78

5932

Chitradurga

1638

979.72

11417

1867

1086.13

12221

2024

1293.00

12278

2460

1582.85

14668

Dakshina

Kannada

2641

2027.17

23989

3984

2444.58

29618

3708

3602.86

29445

4471

4987.61

35304

Dharwad

2444

4094.75

64714

3178

4702.68

69050

4094

5092.78

72204

5280

5698.78

77730

Gulbarga

850

642.62

7830

1232

775.54

9014

1385

794.71

9100

1793

877.45

10529

Hassan

824

550.90

6133

1085

685.31

7476

1155

739.67

7203

1422

1036.12

9274

Kodagu

460

959.61

10936

600

986.80

11487

643

962.27

11299

772

1022.28

11674

Kolar

1816

1124.05

11672

2170

1298.88

13779

2246

1256.32

15482

2614

1769.74

17947

Mandya

1087

624.54

6275

1392

759.36

7580

1293

807.94

7387

1545

952.36

9595

Mysore

2871

2619.16

23153

4314

3140.62

30863

5075

3361.04

33320

6241

3919.89

41007

Raichur

855

1767.17

19670

1179

1968.01

21106

1372

2088.51

21966

1800

2664.52

24550

Shimoga

1904

2022.83

13779

2543

2428.31

15830

2796

2721.31

15832

3379

3216.48

18703

Tumkur

1492

1279.13

17737

2243

1900.44

21479

2591

2389.19

23466

3340

2939.23

27116

Uttara

Kannada

798

537.23

9214

989

619.41

10584

1083

692.74

11010

1274

767.98

11923

TOTAL

37093

37640.81

430697

49055

43965.12

486546

52713 46883.70

482443

64347 55690.79

543239

Year

1986-87

1987-88

1988-89

Investment

Man-

Investment

Man-

Investment

Man-

District

Units

(Lakhs)

power

Units

(Lakhs)

power

Units

(Lakhs)

power

Bangalore

17185

19021.37

167351

18872

21106.14

177084

20520

23851.00

188173

Belgaum

6487

4252.23

32022

7610

5150.28

36564

8445

6057.54

40190

Bellary

3137

1543.34

16801

3639

1745.10

18889

4085

1965.11

20848

Bidar

1596

1065.92

10777

1856

1426.66

12111

2101

1771.19

13047

Bijapur

2707

1237.00

19894

3121

1394.67

21507

3516

1652.16

23345

Chickmagalur

1357

722.90

7542

1560

819.21

8771

1741

962.18

9490

Chitradurga

2872

2007.70

17375

3276

2515.74

19356

3658

3000.97

21279

Dakshina Kannada

5745

5935.33

40685

6488

7502.01

45476

7175

8996.06

49523

Dharwad

6109

7097.61

84202

6944

7696.27

88735

7844

8309.61

93316

Gulbarga

2226

1198.69

13201

2658

1558.29

15695

3118

2015.43

18025

Hassan

1673

1210.40

10125

1930

1404.03

11157

2167

1527.04

12102

Kodagu

872

1149.05

12696

982

1199.39

13058

1084

1246.53

13419

Kolar

3003

2123.51

20339

3327

2505.42

22445

3676

2903.63

24676

Mandya

1799

1106.78

10948

2008

1267.09

11972

2208

1425.29

12885

Mysore

7203

4498.07

45912

8331

5199.00

50848

9129

5774.33

54930

Raichur

2236

3002.03

26507

2695

3397.33

28521

3108

3722.88

30245

Shimoga

3892

3573.76

20964

4402

4004.76

22808

4906

4447.87

24681

Tumkur

3942

3485.98

29999

4671

4410.03

33889

5523

5089.36

38403

Uttara Kannada

1485

847.59

12787

1686

943.03

13739

1863

1059.04

14493

TOTAL

75526

65079.26

600127

86056

75244.45

652625

95867

85777.22

703070

Year   1989-90     1990-91     1991-92  
    Investment Man-   Investment Man-   Investment Man-
District Units (Lakhs) power Units (Lakhs) power Units (Lakhs) power

Bangalore

22402

26783.42

202480

24303

30583.86

219098

27691

37102.85

242868

Belgaum

9291

7065.21

43859

10185

7997.54

47422

11080

9172.65

51078

Bellary

4526

2092.18

22557

4946

2229.09

24034

5257

2589.05

25522

Bidar

2346

2839.02

14575

2593

3242.00

1 6571

2826

3674.88

17864

Bijapur

3905

1952.46

25099

4330

2276.53

27066

4688

2814.06

28967

Chickmagalur

1918

1128.22

10215

2118

1302.33

10891

2293

1581.79

11555

Chitradurga

4037

3550.66

23390

4429

4087.58

25367

4860

5516.86

27451

Dakshina Kannada

7821

10138.97

52913

8399

11658.68

55875

8955

13458.51

59414

Dharwad

8750

8822.88

97656

9680

9329.64

101537

10506

10134.64

106242

Gulbarga

3499

2311.77

19822

3932

2679.36

21888

4179

3064.89

23470

Hassan

2411

1648.01

12992

2634

1834.21

13970

2791

1997.74

14778

Kodagu

1189

1282.15

13795

1344

1335.25

14271

1444

1441.89

14649

Kolar

4030

3306.00

27039

4379

3850.74

29047

4709

4740.34

31262

Mandya

2422

1770.87

14008

2670

1952.39

15173

2851

2275.39

16154

Mysore

9829

6199.24

58535

10609

6757.93

62720

11374

7550.83

67326

Raichur

3509

4302.50

32021

3920

4557.01

33479

4287

5144.87

35191

Shimoga

5402

4711.19

26359

5929

5202.65

28641

6410

5769.07

30711

Tumkur

6219

5882.27

41767

6792

6564.26

44589

7437

7784.95

48202

Uttara Kannada

2061

1237.22

15512

2259

1426.35

16523

2401

1675.25

17361

TOTAL

105567

97024.24

754594

115451

108867.40

808162

126039

127490.51

870065

Table 4

Percentage increase in Industrial Units in Karnataka.

Year

% variation 82-83 to 83-84

% variation 83-84 to 84-85

% variation 84-85 to 85-86

District

Units

Investment

Manpower

Units

Investment

Manpower

Units

Investment

Manpower

Bangalore

15.57

8.39

5.63

-0.08

-2.19

-9.71

16.20

1111

6.11

Belgaum

71.04

24.93

28.81

19.31

7.38

9.55

28.79

33.65

21.75

Bellary

33.40

42.27

38.58

4.61

9.03

2.31

23.37

14.16

22.76

Bidar

58.24

75.42

36.79

8.90

0.59

1.46

23.49

29.70

16.53

Bijapur

32.06

32.29

15.36

11.64

15.05

4.01

22.80

14.46

12.88

Chickmagalur

63.88

67.47

34.69

-6.43

-22.61

-14.56

23.66

25.60

14.47

Chitradurga

13.98

10.86

7.04

8.41

19.05

0.47

21.54

22.42

19.47

Dakshina Kannada

50.85

20.59

23.46

-6.93

47.38

-0.58

20.58

38.43

19.90

Dharwad

50.85

20.59

23.46

-6.93

47.38

-0.58

28.97

11.90

7.65

Gulbarga

44.94

20.68

15.12

12.42

2.47

0.95

29.46

10.41

15.70

Hassan

31.67

24.40

21.90

6.45

7.93

-3.65

23.12

40.08

28.75

Kodagu

30.43

2.83

504

7.17

-2.49

-1.64

2006

6.24

3.32

Kolar

19.49

15.55

18.05

3.50

-3.28

12.36

16.38

40.87

15.92

Mandya

28.06

21.59

20.80

-7.11

6.40

-2.55

19.49

17.88

29.89

Mysore

50.26

19.91

33.30

17.64

7.02

7.96

22.98

16.63

23.07

Raichur

37.89

11.37

7.30

16.37

6.12

4.07

31.20

27.58

11.76

Shimoga

33.56

2005

14.88

9.95

12.07

0.01

20.85

18.20

18.13

Tumkur

50.34

48.57

21.10

15.51

25.72

9.25

28.91

23.02

15.55

Uttara Kannada

23.93

15.30

14.87

9.50

11.84

4.02

17.64

10.86

8.29

TOTAL

32.25

16.80

12.97

7.46

6.64

-0.84

22.07

18.78

12.60

Table 4 Continued - Percentage increase in Industrial Units in Karnataka.

Year

% variation 85-86 to 86-87

% variation 86-87 to 8788

% variation 87-88 to 88-89

District

Units

Investment

Manpower

Units

Investment

Manpower

Units

Investment

Manpower

Bangalore

12.66

12.27

5.54

9.82

10.96

5.82

8.73

1301

6.26

Belgaum

22.79

27.73

15.90

17.31

21.12

14.18

10.97

17.62

9.92

Bellary

19.10

10.58

18.68

16.00

13.07

12.43

12.26

12.61

10.37

Bidar

20.00

16.21

15.09

16.29

33.84

12.38

13.20

24.15

7.73

Bijapur

16.63

17.52

13.17

15.29

12.75

8.11

12.66

18.46

8.55

Chickmagalur

19.66

16.83

27.14

14.96

13.32

16.30

11.60

17.45

8.20

Chitradurga

16.75

26.84

18.46

14.07

25.30

11.40

11.66

19.29

9.93

Dakshina Kannada

28.49

19.00

15.24

12.93

26.40

11.78

10.59

19.92

8.90

Dharwad

15.70

24.55

8.33

13.67

8.43

5.38

12.96

7.97

5.16

Gulbarga

24.15

36.61

25.38

19.41

30.00

18.89

17.31

29.34

14.85

Hassan

17.65

16.82

9.18

15.36

16.00

10.19

12.28

8.76

8.47

Kodagu

12.95

12.40

8.75

12.61

4.38

2.85

10.39

3.93

2.76

Kolar

14.88

19.99

13.33

10.79

17.98

10.35

10.49

15.89

9.94

Mandya

16.44

16.21

14.10

11.62

14.48

9.35

9.96

12.49

7.63

Mysore

15.41

14.75

11.96

15.66

15.58

10.75

9.58

11.07

8.03

Raichur

24.22

12.67

7.97

20.53

13.17

7.60

15.32

9.58

6.04

Shimoga

15.18

11.11

12.09

13.10

12.06

8.80.

11.45

11.06

8.21

Tumkur

18.02

18.60

10.63

18.49

26.51

12.97

18.24

15.40

13.32

Uttara Kannada

16.56

10.37

7.25

13.54

11.26

7.45

10.50

12.30

5.49

TOTAL

17.37

16.86

10.47

13.94

15.62

8.75

11.40

14.00

7.73

Year

% variation 88-89 to 89-90

% variation 89-90 to 90-91

% variation 90-91 to 91-92

District

Units

Investment

Manpower

Units

Investment

Manpower

Units

Investment

Manpower

Bangalore

9.17

12.29

7.60

8.49

14.19

8.21

13.94

21.32

10.85

Belgaum

1002

16.63

9.13

9.62

13.20

8.12

8.79

14.69

7.71

Bellary

10.80

6.47

8.20

9.28

6.54

6.55

6.29

16.15

6.19

Bidar

11.66

60.29

11.71

10.53

14.19

13.69

8.99

13.35

7.80

Bijapur

11.06

18.18

7.51

10.88

16.60

7.84

8.27

23.61

7.02

Chickmagalur

10.17

17.26

7.64

10.43

15.43

6.62

8.26

21.46

6.10

Chitradurga

10.36

18.32

9.92

9.71

15.12

8.45

9.73

34.97

8.22

Dakshina Kannada

9.00

12.70

6.85

7.39

14.99

5.60

6.62

15.44

6.33

Dharwad

11.55

6.18

4.65

10.63

5.74

3.97

8.53

8.63

4.63

Gulbarga

12.22

14.70

9.97

12.37

15.90

10.42

6.28

14.39

7.23

Hassan

11.26

7.92

7.35

9.25

11.30

7.53

5.96

8.92

5.78

Kodagu

9.69

2.86

2.80

13.04

4.14

3.45

7.44

7.99

2.65

Kolar

9.63

13.86

9.58

8.66

16.48

7.43

7.54

23.10

7.63

Mandya

9.69

24.25

8.72

10.24

10.25

8.32

6.78

16.54

6.47

Mysore

7.67

7.36

6.56

7.94

9.01

7.15

7.21

11.73

7.34

Raichur

12.90

15.57

5.87

11.71

5.92

4.55

9.36

12.90

5.11

Shimoga

10.11

5.92

6.80

9.76

10.43

8.66

8.11

10.89

7.23

Tumkur

12.60

15.58

8.76

9.21

11.59

6.76

9.50

18.60

8.10

Uttara Kannada

10.63

16.82

7.03

9.61

15.29

6.52

6.29

17.45

5.07

TOTAL

10.12

13.11

7.33

9.36

1221

7.10

9.17

17.11

7.66

Table 5a Comparative data for the years 1982-83 and 1991-92.

Year

1982-83

1991-92

1982/83 to 1991/92

Investment

Man-

Investment

Man-

Percent (variation) growth

Percent average annual growth

District

Units

(Lakhs)

power

Units

(Lakhs)

power

Units

Investment

Manpower

Units

Investment Manpower

Bangalore

11368 14381.78

156691

27691

37102.85

242868

143.59

157.99

55.00

9.31

9.94

4.48

Belgaum

2010

1856.93

1 6082

11080

9172.65

51078

451.24

393.97

217.61

18.61

17.32

12.25

Bellary

1530

788.16

8133

5257

258905

25522

243.59

228.49

213.81

13.14

12.63

12.12

Bidar

625

400.79

5790

2826

3674.88

17864

352.16

816.91

208.53

16.29

24.81

11.93

Bijapur

1282

604.15

12979

4688

2814.06

28967

265.68

365.79

123.18

13.84

16.63

8.36

Chickmagalur

598

380.12

4503

2293

1581.79

11555

196.70

463.11

140.44

11.49

18.87

9.17

Chitradurga

1638

979.72

11417

4860

5516.86

27451

283.44

316.13

156.61

14.39

15.32

9.88

Dakshina

Kannada

2641

2027.17

23989

8955

13458.51

59414

239.08

563.91

147.67

12.99

20.84

9.49

Dharwad

2444

4094.75

64714

10506

10134.64

106242

329.87

147.50

64.17

15.70

9.49

5.08

Gulbarga

850

642.62

7830

4179

3064.89

23470

391.65

376.94

199.74

17.26

16.91

11.60

Hassan

824

550.90

6133

2791

1997.74

14778

238.71

262.63

140.96

12.98

13.75

9.19

Kodagu

460

959.61

10936

1444

1441.89

14649

213.91

50.26

33.95

1212

4.16

2.97

Kolar

1816

1124.05

11672

4709

4740.34

31262

159.31

321.72

167.84

10.00

15.48

10.35

Mandya

1087

624.54

6275

2851

2275.39

16154

162.28

264.33

157.43

10.12

13.80

9.92

Mysore

2871

2619.16

23153

11374

7550.83

67326

296.17

188.29

190.79

14.76

11.17

11.26

Raichur

855

1767.17

19670

4287

5144.87

35191

401.40

191.14

78.91

17.49

11.28

5.99

Shimoga

1904

2022.83

13779

6410

5769.07

30711

236.66

185.20

122.88

12.91

11.05

8.34

Tumkur

1492

1279.13

17737

7437

7784.95

48202

398.46

508.61

171.76

17.43

19.79

10.51

Uttara Kannada

798

537.23

9214

2410

1675.25

17361

200.88

211.83

88.42

11.64

12.04

6.54

TOTAL

37093

37640.81

430697

126039

127490.51

870065

239.79

238.70

102.01

13.01

12.97

7.28

Average

1952

1981.10

22668

6634

6710.03

45793

273.94

316.57

141.04

13.81

14.49

8.92

Maximum

11368

14381.78

156691

27691

37102.85

242868

451.24

816.91

217.61

18.61

24.81

12.25

Minimum

460

380.12

4503

1444

1441.89

11555

143.59

50.26

33.95

9.31

4.16

2.97

Stnd Deviation

2326

3061.92

34133

5795

7858.93

51721

88.62

174.78

54.25

2.68

4.65

2.66

Table 5b Districtwise data during the year 1991-92.

Year

1991-92

1991-92

1982/83 to 1991/92

% of

Workers

% SSI/

Invest-

population

in manu-

No. of

% SSI/

popul-

Investment

Man-

% Invest-

% Man-

ment

employed

Area

Popul-

facturing

persons/

total

ation

District

Units

(Lakhs)

power

% SSI

ment

power

per job

in SSI

Sq. kms

ation

& h.hold

sq. km

mp

total

Bangalore

27691

37102.85

242868

21.97

29.10

27.91

15277.0

3.73

8213.21

6512356

513755

792.91

47.27

3.73

Belgaum

11080

9172.65

51078

8.79

7.19

5.87

17958.1

1.43

13530.92

3583606

128966

264.85

39.61

1.43

Bellary

5257

2589.05

25522

4.17

2.03

2.93

10144.4

1.35

9884.87

1890092

44872

191.21

56.88

1.35

Bidar

2826

3674.88

17864

2.24

2.88

2.05

20571.4

1.42

5494.8

1255799

20551

228.54

86.93

1.42

Bijapur

4688

2814.06

28967

3.72

2.21

3.33

9714.7

0.99

17165.1

2927990

86950

170.58

33.31

0.99

Chickmagalur

4860

5516.86

27451

3.86

4.33

3.16

20097.1

2.70

7239.69

1017283

29283

140.51

93.74

2.70

Chitradurga

2293

1581.79

11555

1.82

1.24

1.33

13689.2

0.53

10836.08

2180443

69328

201.22

16.67

0.53

Dakshina

Kannada

8955

13458.51

59414

7.10

10.56

6.83

22652.1

221

8509.03

2694264

325131

316.64

18.27

2.21

Dharwad

10506

10134.64

106242

8.34

7.95

12.21

9539.2

3.03

13778.61

3503150

120270

254.25

88.34

3.03

Gulbarga

4179

3064.89

23470

3.32

2.40

2.70

13058.8

0.91

16215.43

2582169

50233

159.24

46.72

0.91

Hassan

2791

1997.74

14778

2.21

1.57

1.70

13518.3

0.94

6895.22

1569684

18009

227.65

82.06

0.94

Kodagu

4709

4740.34

31262

3.74

3.72

3.59

15163.3

6.40

4108.6

488455

32705

118.89

95.59

6.40

Kolar

1444

1441.89

14649

1.15

1.13

1.68

9842.9

0.66

8268.49

2216889

59567

268.11

24.59

0.66

Mandya

2851

2275.39

16154

2.26

1.78

1.86

14085.6

0.98

5005.48

1644374

28508

328.51

56.66

0.98

Mysore

11374

7550.83

67326

9.02

5.92

7.74

11215.3

2.13

12107.05

3165018

107787

261.42

62.46

2.13

Raichur

4287

5144.87

35191

3.40

4.04

404

146198

1.52

14049.02

2309887

36249

164.42

97.08

1.52

Shimoga

6410

5769.07

30711

5.09

4.53

3.53

18785.0

1.61

10579.46

1909663

49199

180.51

62.42

1.61

Tumkur

7437

7784.95

48202

5.90

6.11

5.54

16150.7

2.09

10633.26

2305819

62632

216.85

76.96

2.09

Uttara Kannada

2401

1675.25

17361

1.90

1.31

2.00

9649.5

1.42

10335.07

1220260

33108

118.07

52.44

1.42

TOTAL

126039

127490.51

870065

100.00

100.00

100.00

14653.0

1.93

192849.4

44977201

1817103

233.22

47.88

1.93

Average

6634

6710.03

45793

5.26

5.26

5.26

14512.2

1.90

10149.97

2367221

95637

242.34

59.90

1.90

Maximum

27691

37102.85 242868

21.97

29.10

27.91

22652.1

6.40

17165.10

6512356

513755

792.91

97.08

6.40

Minimum

1444

1441.89

11555

1.15

1.13

1.33

9539.2

0.53

4108.60

488455

18009

118.07

16.67

0.53

Stnd Deviation

5795

7858.9

51721

4.6

6.2

5.9

3941.0

1.3

3585.8

1269463

119490

142.6

25.7

1.3

Table 6a Dispersal of Units.

Rural

Urban

Metropolitan

District

No. of Units

Units

Percent

Units

Percent

Units

Percent

Bangalore (Urban)

6051

305

5.04

939

15.52

4807

79.44

Belgaum

2755

1002

36.37

1753

63.63

0

0.00

Bellary

2027

625

30.83

1402

69.17

0

0.00

Bidar

972

459

47.22

513

52.78

0

0.00

Bijapur

1712

875

51.11

837

48.89

0

0.00

Chickmagalur

1002

448

44.71

554

55.29

0

0.00

Chitradurga

2139

685

32.02

1454

67.98

0

0.00

Uttara Kannada

795

513

64.53

282

35.47

0

0.00

Dakshina Kannada

3867

2066

53.43

1801

46.57

0

0.00

Dharwad

4814

2401

49.88

2413

50.12

0

0.00

Gulbarga

1419

500

35.24

919

64.76

0

0.00

Hassan

1164

394

33.85

770

66.15

0

0.00

Kodagu

305

187

61.31

118

38.69

0

0.00

Kolar

1315

424

32.24

891

67.76

0

0.00

Mandya

955

550

57.59

405

42.41

0

0.00

Mysore

2211

709

32.07

1502

67.93

0

0.00

Raichur

1594

745

46.7 4

849

53.26

0

0.00

Shimoga

2928

1425

48.67

1503

51.33

0

0.00

Tumkur

1803

833

46.20

970

53.80

0

0.00

Bangalore (Rural)

697

321

46.05

376

53.95

0

0.00

TOTAL

40525

15467

38.17

20251

49.97

4807

11.86

Table 6b Dispersal of Units by nature of activities.

Rural

Urban

Metropolitan

Total

Units

Percent

Units

Percent

Units

Percent

Units

Percent

Manufacturing/Assembling

5368

31.47

8867

51.98

2824

16.55

17059

42.10

Processing

5880

54.85

4317

40.27

523

4.88

10720

26.45

Job work only

789

21.98

1925

53.64

875

24.38

3589

8.86

Repairing and servicing

1714

33.57

3189

62.46

203

3.98

5106

12.60

Combined

1716

42.36

1953

48.21

382

9.43

4051

10.00

Total

15467

38.17

20251

49.97

4807

11.86

40525 100.00

Energy consumption by location (Lakh Rs.)

Electricity, Firewood,

charcoal etc

1650

34.64

2253

47.30

860

18.06

4763

are available in many rural areas, their cost per unit of useful energy is usually much higher than that of traditional sources. With the use of conventional fuels, industry becomes more dependent on distribution networks which are liable to interruption and it is not desirable to use high quality energy, such as electricity, for low quality work such as heating. This unreliability in supply and the high cost of conventional sources of energy creates a demand for viable alternatives to meet the needs of rural industries locally. The supply of energy from wood and residues are more flexible and reliable. With increasing industrial demand for wood and residues, both for energy and for other domestic applications, agricultural and industrial purposes puts further pressure on traditional sources, often with adverse effects on other end users, on the stability and productivity of the rural environment. This in turn results in a demand for increasing biomass stocks by raising energy plantations to meet the growing needs of the population for fuel, for domestic use and in rural industries.

Rural industries provide the majority of off-farm employment and income generation in rural areas. In Karnataka there are 27,028 villages with

Table 7 Details of number of units, manpower and production.

Production

Description

Units

Percent

Manpower

Percent

Lakh Rs.

Percent

Food products

10221

25.22

47363

19.41

71615

28.30

Beverages, tobacco

550

1.36

6812

2.79

6086

2.41

Cotton textiles

52

0.13

659

0.27

641

0.25

Wool, silk and synthetic textiles

28

0.07

197

0.08

101

0.04

Jute, hemp and Mesta tex

9

0.02

47

0.02

28

0.01

Hosiery and garments

1750

4.32

10203

4.18

5824

2.30

Wood products

3779

9.33

17354

7.11

12826

5.07

Paper products

2623

6.47

14541

5.96

28972

11 .45

Leather products

1381

3.41

4926

2.02

3800

1.50

Rubber and Plastic

1570

3.87

11576

4.74

13829

5.47

Chemicals

1587

3.92

17086

7.00

18598

7.35

Non metallic mineral

1422

3.51

20280

8.31

8103

3.20

Basic metal products

546

1.35

8961

3.67

14326

5.66

Metal products

4173

10.30

24920

10.21

31349

12.39

Machinery parts

2915

7.19

21114

8.65

12348

4.88

Electric. machinery

699

1.72

9408

3.86

13278

5.25

Transport equipment

808

1.99

5988

2.45

4285

1.69

Miscellaneous manufacture

394

0.97

3222

1.32

2048

0.81

Repair services

5041

1 2.44

15392

6.31

2833

1.12

Services not else classed

87

0.21

375

0.15

286

0.11

Other services

890

2.20

3615

1.48

1838

0.73

TOTAL

40525

100.00

244039

100.00

253014

100.00

175 taluks*. The population of the state is 44,817,398 with a density of 234 persons per square kilometer and 71.1 % of total population are in rural areas. Deforestation and loss of soil fertility has resulted in a serious reduction in food production by traditional agriculture. Increase in population, leading to fragmentation in land holding, has resulted in further degradation of agriculture land. Fuel shortages are usually tied with environmental deterioration and have also affected food production. Rural industries in this regard are playing a significant role by providing employment to poor peasants especially women. This sexual division of labour has influenced women's ability to produce food and provide the nutrition required for their family.

The cashew processing industries are taken up for further studies among rural industries to explore the role of rural industries in the rural economy and role of traditional fuel in the survival of these industries. Cashew processing industries are mainly located in the rural areas and are labour intensive as well as energy intensive. Cashew processing mainly depends on fuel wood and other agriculture residues for the heat energy required. These industries employ mainly women and hence have helped the village women to attain economic independence and hence self-sufficiency. Cashew industries are located mainly in the coastal belts of Karnataka, due to the availability of raw material (namely cashew nuts) in the region. Coastal areas are densely populated and relatively biomass scarce areas. The non­-availability of fuel wood and agricultural residues have often caused serious problems.

CASE STUDY: ENERGY STUDIES IN CASHEW PROCESSING INDUSTRIES Top

Objectives of the study. The objectives were to:

Methodology. The study was carried out in five stages:

1. Initial information was collected from the Government agencies such as the Department of Industries, Directorate of Economics & Statistics and Districts Industries Centres; regarding many cashew industries in Karnataka.

2. A questionnaire-based survey covering firms and units in the Cashew processing industry sector was conducted in Kumta taluk of Uttara Kannada district (of Karnataka State, India) to determine the levels and patterns of energy consumption and the technologies in use.

3. Brief (one to two days) energy audits, management and employees interviews were conducted in representative firms to check and cross verify the data collected from the secondary sources and to identify opportunities for energy efficiency improvements.

4. Computation of Specific Energy Consumption (SEC) and Energy Intensity (EI) to find out the level of disparities among firms.

5. Establishment of quantitative relationship among various parameters such as Energy (En), Production (Pr), Specific Energy Consumption (SEC) and Percentage [percentage installed] Production Capacity Utilisation (PPCU).

Study Area. The primary survey was carried out in industries located in the Kumta taluk of Uttara Kannada district. Kumta taluk is located in the coastal tract of Karnataka [7]. It lies between 74° 24' to 74° 45' east longitude and 14° 17' to 14° 35' north latitude and extends over an area of 582 square kilometres. With a population of 107,963, Kumta taluk is one of the densely populated regions in Karnataka.

Cashew Industries. Cashew processing industries were selected for this study mainly because:

(1) The processing industry being mainly located in the rural areas depends on local raw materials, tends to rely on local resources for heat energy needed, and employs local youth. 85% of the labourers are women. Rural women, who form the major labour force, also endure the burden of domestic drudgery.

(2) Fuelwood is used as main source of heat energy in the processing. The quantity of fuelwood required and its impact on the environment is enormous. The rising cost of fuelwood and scarcity of fuelwood has forced industrial entrepreneurs to think in terms of better processing devices e.g. boilers, improved driers as well as growing fuel wood in the indigenous way.

(3) The raw material required for the industry could be grown on the barren and already degraded land, unfit for habitation or tillage. The crop does not require any fertilizer or pesticide application or even nursing.

(4) Cashew growing provides employment to rural youth.

(5) Cashew growing helps in restoring the soil condition.

(6) The industry is labour intensive (and helps with rural employment generation), the raw materials are processed by hand which helps in yielding better quality nuts.

The main function of the cashew processing industry is the recovery of the kernel from raw nuts by manual or mechanical means. Processing consists of moisture conditioning, roasting, shelling, drying, peeling, grading and packing. The present study covers 142 sample industries from all districts in Karnataka. Also detailed investigations of processing were carried out for ten industries in Kumta taluk of the Uttara Kannada (North Kanara) district of Karnataka.

Some of these processes are illustrated in the flow diagram on the next page and all terms are explained in the text, which follows.

Conditioning: Conditioning involves sprinkling of water on dried and stored nuts to bring them to an optimum moisture level of 20% - 30%. To make the shell brittle, roasting is done. The mesocarp of the shell consists of honeycomb like cells containing a viscous liquid called the cashew nut shell liquid (CNSL), which provides natural protection to the kernel against insects. CNSL is a valuable raw material for some polymer-based industries such as paints, varnishes, resins and brake linings. Industries in Kumta export and sell these shells to Goa and Ankola where boat manufacturers use the CNSL as paint.

Roasting: Drum roasting is done in most of the industries. The capacity of the drum is 320 kg. Shells are roasted in steam at 100°C, for about 22 minutes. In most of the industries during the course of our survey, workers were instructed to load nuts to the full installed capacity of the drum. The nuts are kept aside for a day for cooling. Then Shelling is done using hand and leg operated shelling machines. For this purpose female labourers are employed. Normally a worker shells 17 kg/day. The wages paid on pro rata basis at the rate of Rs. 1.5/kg plus Rs. 1.5 towards transport allowance.

One sample industry surveyed had 12 female workers in this section. Most of these workers were in the age group from 15 to 25. The kernel is scooped out by means of a sharp needle. After shelling the kernels are dried in the drier to reduce the moisture (approximately 10%) and to loosen the adhering testa. After drying for 8 - 12 hours the peeling is done by hand, using a knife. 25 female workers were employed in this section. A minimum of 8 kg of kernels is given in the morning for peeling per person, which has to be completed and the same quantity is to be returned, when the worker leaves the work place. Workers were paid on the pro rata basis at the rate of Rs. 1.5/kg to Rs. 2/kg.

The next stage is grading of kernels, depending on the specification for exportable grades. The wholes are size graded based on the number of kernels per pound as W320, W240, W210 and W180 (means 180 kernels/pound). Damaged kernels were graded as TH C/2 size), KH (1/2 TH), LWP (small size) SWP & SSP respectively. This grading is done by the experienced female labourers who were paid Rs. 300 - Rs. 400 per month.

Packing is usually done in a tin, which holds 11 kg 340 gms Net, which are subsequently evacuated and filled with carbon dioxide. A rehumidification process is introduced before packing to overcome the possible overdrying. This whole operation has a higher yield rate of 90 to 95% of wholes. The raw materials required for these industries can be grown locally. In the next section cashew plantations are discussed from an ecological perspective in order to assess their ecological viability.

CASHEW PLANTATION: AN ECOLOGICAL PERSPECTIVE Top

A cashew crop among plantation crops has the unique distinction that it can be cultivated in a wide variety of soils. It can survive on lands of low fertility and can be grown in all soil types from sandy seacoast to laterite hill slopes, but the best soils are deep, triable, well drained sandy loams without a hard pan. It grows and yields well in shallow and impervious soils such as sand hills where no other economic crop generally grows well; it is tolerant of saline and heavy clay soils; it grows on red and laterite soils. It cannot withstand water stagnation, flooding or bad drainage. In Karnataka, cashew is planted mainly in the coastal belt, which receives an annual rainfall ranging from 1300 to 3500 mm.

The area under cashew plantation at the end of 1984-85 in Karnataka was 47,442 hectare. The productivity in Kumta taluk of Karnataka on an average is 13 quintals per hectare. This data regarding productivity was collected by interviewing some farmers randomly selected in the Kumta taluk. The total production from the Government Horticulture Department estimates was 22,115 qtl. in Kumta taluk during 1992-93 (the area under cashew cultivation is 1595 hectares). Due to favourable weather and rainfall the scope for increasing the yield is more in the hilly region of the west coast.

Definitions

Specific Energy Consumption (SEC): SEC can be identified as the ratio of Energy Consumption in rupees to Production in rupees. Thus:

SEC = En / Pr (Rs. / Rs.)

Energy Intensity (EI): EI is the ratio of Energy Consumption and Production in "per unit" terms. EI would be helpful in industries where the end products of a industry are cash products.

EI = En / Pr (kg/kg) or (kWh/kg)

The intra and inter variation in SEC and EI among the industries producing similar products reveals the extent of inefficient/efficient energy consumption. The higher the variation in the value of SEC and EI for the same amount of Production among industries producing similar product reveals the extent of disparity in energy consumption.

Percent Production Capacity Utilisation (PPCU)

= ratio of actual production to the total production / installed capacity

If Pr is actual Production, P is total Installed Production capacity then PPCU = (Pr/P) * 100.

Relationship between variables: Applying standard statistical techniques, the relationship between the variables En and Pr can be represented by any of the following mathematical models depending upon the best fit (least error techniques).

(i) The linear En = A + B Pr.

(ii) The parabolic En = A + B (Pr) + C (Pr)2

(iii) Exponential En = A Exp (B.Pr)

linearized form: Ln (En) = Ln (A) + B (Pr)

(iv) Power law En = A * (Pr)B

linearized form: Ln (En) = Ln (A) + B Ln (Pr)

Ln = natural logarithm

The En: Energy mix in rural industries comprises of mainly (a) fuelwood for heat and (b) electricity for lighting purposes [very minimal]. Regression analysis is carried out to look at the role of Energy Consumption and Specific Energy Consumption in this sector.

RESULTS AND DISCUSSION Top

(1) The rural energy consumption model. To study the dynamics of the energy utilisation patterns in any industrial plant, the SEC (Specific Energy Consumption) and EI (Energy Intensity) would help in predicting minimum energy required to operate an industry efficiently.

(2) Statistical analysis of energy coefficients

Energy consumption and production. The relationship between the variables Energy Consumption (En) and Production (Pr) is determined by the least squares method. The best fit is of the form:

En = A. (Pr)C

where "A" is the constant and the coefficient "c" is commonly known as the Energy Elasticity.

Table 8 Regression analysis: Energy & Production.

Equation

r

% error of Y est

A

B

Linear

0.7286

9.26

19.47

0.0135

Parabola

0.7312

9.10

20.70

0.0108

C = 0. 175 X 10-6

Hyperbola

0.2090

30.20

0.1123

0.0001

Exponential

0.4790

12.24

14.88

0.0019

Power law

0.7544

8.02

2.369

0.3983

Y = dependent variable: En, X = independent variable: Pr

The data collected from both secondary (for 136 industries) and primary sources (energy auditing in six industries) were compiled. The regression analysis was done for this set of data. The probable relationship based on the least % error of best fit is:

En = 2.36 (Pr)0.3983

The generalised form of the relationship is written as:

En = A. (Pr)C -------------------(1 )

where C = Energy coefficient

A = constant

Equation (1) could be written as:

C = dEn/En / dPr/Pr----------------(2)

That is, the Energy Coefficient expressed in terms of the proportionate change in En to the proportionate change in Pro The lower the value of "C", the lower is the change in En for the corresponding change in product. Differentiating Equation En = A (Pr)C with respect to change in production, we get the dynamic consumption rate that is:

d En / d Pr = A x C (Pr)C-1 --------------------------------- (3)

The value of the Energy coefficient "c" being less than one, which means dEn/dPr declines sharply with increase in production in a industry. This might imply better utilisation of the installed production capacity of boilers and driers.

Specific Energy Consumption and Production. Specific Energy Consumption is the ratio of Energy Consumption (in Rs) to the Production (in Rs). This ratio would help to predict the minimum

Table 9 Regression analysis: SEC & Production.

Equation
r
% error of Y est
A
B

Linear

0.3947

12.34

0.2923

-0.000108

Parabola

0.4959

11.10

0.3340

-0.000322

c = 0.596 X 10-7

Hyperbola

0.4602

11.89

10.34

-0.0205

Exponential

0.6135

8.46

0.188

-0.000855

Power law

0.7673

4.61

2.369

-0.620

X = independent variable: Pr

Y = dependent variable: SEC

energy required to operate an industrial plant efficiently. The relationship between Specific Energy Consumption (SEC) and Production (Pr) for the cashew processing sector is tried by the least square method. A best fit with least % error of Y est is chosen, and is:

The relationship from least square method is:

SEC = 2.35 (Pr)-0.62

The results of the analysis is listed in Table 9. The general form of relationship:

SEC = A' (Pr)-C' ----------------(4)

The negative exponent c' shows a decline in the value of SEC with increase in Production. This again may be inferred, as the energy efficiency improves with better efficiency utilisation of the installed production capacity.

In order to look at the role of installed Per cent Production Capacity Utilisation (PPCU) on the energy utilisation, Specific Energy Consumption and hence on the energy efficiency of the operation, further analysis is carried out between the variables En and PPCU, SEC & PPCU.

From Equation (3) and Equation (4) we noticed that the Energy Efficiency Improves with the increase in Production. Normally with increased production capacity utilisation, production of an industry increases. Regression analyses were carried out to explore the relationship between EI and PPCU, and SEC and PPCU. By the least square method, based on less percentage error of Y est, the best fit relationships are:

EI = 56.34 (PPCU)–0.56 ----------------(5)

SEC = 2.15 (PPCU)–0.76 ----------------(6)

These two relationships confirm the earlier conclusions, that to improve the energy efficiency

Table 10 Distribution of Industries in different PPCU range.

PPCU

Number of Industries

SEC

0-5%

1

0.655

5-10 %

2

0.342

10-20%

2

0.264

20-30%

6

0.190

30-40%

12

0.120

40-50%

37

0.100

50-60%

39

0.095

60-70%

21

0.093

70-80%

10

0.092

80-90%

8

0.060

> 90 - < 100%

4

0.042

142

of an industry, it is very essential to match the production of a industry with installed production capacity.

The next logical question, which arises from these analyses, is how much energy can be saved by optimal utilisation of the installed production capacity. Table 10 lists the SEC and PPCU in the Cashew processing sector. Out of 142 industries, it is seen that in 99 industries the percent installed capacity utilisation is less than 60%. Examining the two industries with PPCU of 50 and 80, the SEC for respective values would be as shown in Equation (6) as:

SEC = 2.15 (50)–0.76 = 0.109

SEC = 2.15 (80)–0.76 = 0.076

That means there is 30.27% variation in SEC, which means 30.27% of the energy can be saved by proper utilisation of installed production capacity. Figure 1 gives the plot of SEC and number of firms with Percent Production Capacity Utilisation. A declining trend of SEC with increased PPCU is evident from this Figure. The frequency of the number of firms in each PPCU range is a bell-shaped curve, which clearly shows about 69.72% of the total samples are in PPCU range less than 60%. This gives considerable scope for saving fuelwood with better utilisation of installed production capacity.

Energy Auditing. Detailed energy audits were carried out in six cashew processing industries located in the Kumta taluk of Uttara Kannada (North Kanara) district on the coastal belt of Karnataka, by spending one to two days and measuring actual fuelwood consumption, raw materials etc. The details of energy consumption, raw materials and man-power are listed in Table 11.

Figure 1 Specific Energy Consumption (SEC) and Percent Production Capacity Utilisation (PPCU)

Table 11 Energy auditing in the cashew processing firms.

Fuelwood/year

Electricity

Output

Employees

for

mainly for

kernels

(Heat)

Lighting

Fuelwood

Raw nut

production

Male

Female

Wages

Production

Units tonnes

KWh

Rs.

kg

kg

No.

No.

Rs.

Rs.

7.2

180

5400

5914.28

1320

2

8

96000

198000

70

240

49000

31200

8400

4

10

152116

275000

120

400

90000

81200

24010

2

25

195000

3601500

156

25

120000

61200

18000

2

27

210600

2700000

165

600

123750

121200

34200

2

50

267000

5130000

692.5

3000*

519375

577200

53900

4

130

619700

21546000

* This industry uses electric drier for drying kernels sometimes.

Figure 2 Specific Energy Consumption (SEC) and Energy Intensity (EI) variation for different Percent Production Capacity Utilisation (PPCU).

The energy analyses were carried out to explore the variation in SEC, EI and PPCU in these industrial units and the results are listed in Table 12.

From Table 11 it is evident that these industries are labour intensive and mainly employ women. Since the wages paid are based on the amount of work done (that is quantity of nuts dehusked / peeling of kernels, etc.), these labourers seem to be one of the most efficient. The employment opportunity in these industries has created a new kind of social awareness among the women.

Since cashew is a cash crop, the SEC computed shows very small values. The dis­cussion based on SEC seems to be insignificant. Hence EI (Energy Intensity) is computed which reveals distinctly the disparities in the level of fuelwood consumption in the other sector. It is noticed that the variation ranges from a minimum of 4.49 kg fuelwood per kg of cashew kernel processed to the maximum of 8.66 kg. The PPCU computed reveals that the high level of fuelwood consumption is related to the lower installed production capacity utilisation. Figure 2 is the pictorial representation of SEC/EI with the PPCU of firms where the detailed survey was carried out.

As listed in Table 12, it is evident that an industry with PPCU 52% consumes 8.32 kg of fuelwood while an industry with a PPCU of 84% consumes 4.49 kg of fuelwood. This means there is a 46% variation in the quantity of fuelwood consumed for processing cashew. This is mainly due to the non-utilisation of installed production

Table 12 Computation of SEC/EI and PCU.

SEC Rs./Rs.

EI kg./kg.

PPCU %

0.02435

4.824

80

0.02438

4.499

84

0.02521

4.997

78

0.02909

5.454

65

0.04446

8.666

56

0.03843

8.324

52

capacity. Roasting of raw nuts and drying of the kernel are the two energy intensive operations in these industries.

The drier is used mainly to remove the moisture (in the order of 10%) in the kernel. High thermal efficiency could be achieved by the combustion of fuelwood in an enclosed chamber over a suitable grate with a proper opening for primary and secondary air to generate the highest combustion temperature and thus maximise the heat transferred to the trays. Proper insulation of the drier doors and a chimney of suitable height and diameter to create a draught and disperse smoke are the other essential components in cutting down the fuelwood consumption. In two out of six firms, the combustion was done in an open chamber and the drier doors were poorly insulated. Apart from these, the drier is not loaded fully in these firms.

(a) The fuelwood cost is relatively small in the processing of cash crops such as cashew compared to the value of the end product. This is one of the reasons for not taking up energy conservation measures in these industries.

(b) Easy access and availability of fuelwood both on a commercial and non-commercial basis are the main reasons for the rural industries to use fuelwood. However, the fast depletion of forests has caused a fuelwood scarcity which affects the domestic consumer severely while these industries continue to get fuelwood at higher or increased cost. Nevertheless, the cost of fuelwood in the total production cost is very small in this sector. The inefficient usage of fuelwood, in the order of 46 to 50%, could be conserved by proper maintenance of equipment, better utilisation of installed production capacity and use of renewable sources of energy such as solar energy for steaming raw nuts.

CONCLUSIONS Top

1. The wide variations in EI from 4.49 kg of fuelwood/kg of kernel to 8.66 kg of fuelwood / kg of kernel reveals the scope for energy conservation to be in the order of 30 to 48%.

2. The relationship between SEC and Pr being a power law with an exponent less than one indicates an improvement of the SEC with increased production in a industry. Comput­ation of the dynamic SEC (dEn/dPr) reveals that the rate of energy consumption is less than the production. The relative energy consumption rate decreases as the firm's production increases.

3. The use of fuelwood for domestic and rural industries applications will continue in this region for at least another decade. This study and earlier studies in the domestic sector have revealed that the present usage is very inefficient in these sectors. About 40-45% of fuel wood is saved in domestic cooking and water heating purposes. This necessitates a wider use of energy efficient end use devices to conserve energy. This helps in meeting the growing demand of energy in a region.

4. Fuelwood consumption in cashew processing industries could be brought down by: (a) use of solar water heating devices for roasting the raw nuts, and (b) the use of insulated, properly designed driers for drying the kernels.

5. Encouraging enterpreneurs to grow energy plantations on already degraded and unused lands to meet the fuelwood requirement for the industry in a sustainable way (while setting up energy intensive rural industries), could help to improve the soil condition by avoiding further degradation and generate employment to rural youth.

6. Decision makers should take into account the energy requirements of the industries while emphasising the industrialisation of a region. The decentralised way of meeting the energy requirements of industries, e.g. solar, wind (depending on availability of source), small hydro and energy plantations, would be the most appropriate way of handling the energy situation in a region.

APPENDIX Top

Cashew (Anacardium occidentale L.), is a small tree, crooked; originally introduced from South America. Every part of the cashew is useful to man. The kernels are of high nutritive value. It is rich in carbohydrate (22%), unsaturated fats (47%), minerals such as Calcium (0.55), Phosphorous (0.45%), Iron (5.0 mg/100gm), Vitamins (Vitamin S, 630 mg/100gm) and Ribo­flavin (190 mg/100gm). A kernel supplies about 6000 calories of energy per kg as against 3600 by cereals, 1800 by meat and 650 by fresh fruit. The cashew apple juice is rich in vitamin C (261.5 mg/ 100gm) content and contains 10.15 to 12.5 per cent sugar and about 0.35% acid (as Malic). The mesocarp of the shell contains black, caustic, oil juice, which is rubefacient and vesicant. It contains phenolic compound cardol, anacardic acid and an ether soluble substance. It is a valuable raw material for a number of polymer based industries e.g. for paints, varnishes, resins, industrial and decorative laminates, brake linings and rubber compounding resins. Cashew nut shell liquid (CNSL) is used extensively in boat manufacturing industries and carved wood works as it effectively prevents white ants. The delicious and nutritious kernel is commonly eaten roasted, ­ a process which improves the flavour. Coating on the kernel yields tannins (24-26%) which is used in the leather industries. The cashew apple and its juice has a medicinal value for scurvy, cough and colds and is an excellent purgative. The juice is used as an antiscorbutic and diuretic; given in kidney troubles and cholera. The bud and young leaf is used as a vegetable and as green manure; the leaf contain tannins (23%) used in skin diseases; the alcoholic extract shows hypoglycemic and anticancer activity [8].

In addition, cashew trees are used for fire­wood or charcoal. The pulp from the wood is used to fabricate corrugated and hardbound boxes. The bark of the tree yields- tannins (9%), and possesses an anti-hypertensive and hypo­glycaemic properties; the milky sap, on exposure becomes black, useful in indelible ink. Gum from the bark, has insecticidal properties useful in bookbinding and pharmaceutical industry.

Cashew is familiarly known as "money spinner" among plantation crops due to the various uses of the tree ranging from land reclamation to medicinal purposes, and finds a unique place in our ecosystem. In Karnataka 4.04 lakh hectares of land are barren, sandy, slightly alkaline and poor in nutrients. Of this, 14,000 hectares is in the Uttara Kannada District. This could be used for cashew plantation and energy plantations. Casuarina equisetifolia, Acacia auriculiformis, Anacardium occidentale are best suited for this soil. Cashew because of versatility, and its ability to survive on saline land, laterite and red soils, is a very important tree in Agro and social forestry because of its distinctive role in land reclamation. It is usually closely planted for effective wide breaks for orchards and as soil binders.

ACKNOWLEDGEMENTS Top

Thanks are due to the officials of the Small Scale Industries Service Institute, Directorate of Industries and Commerce, Karnataka Department and Management of Small Scale Industries in Kumta Taluk for their help in our field survey. I am grateful to Dr. N. V. Joshi, Professor D. K. Subramanian and Professor Mallikarjuna Chetty for reviewing the manuscript and for useful suggestions. The fieldwork involved in this research was supported by the working expenses provided by our Institute.

REFERENCES Top

1. Ramachandra, T. V. "Energy Options for Sustainable Development". Energy Management, Vol. 17, Jan-Mar 1993, pp. 12-19.

2. Ramachandra, T. V. and Subramanian, D. K. "Energy Efficiencies of End-use Devices in an Electro Metallurgical Industry: a Critical Study". Energy Conversion and Management, Vol. 33, No. 10, 1992, pp. 899-912.

3. Subramanian, D. K. "Energy Utilisation in Karnataka". in C. J. Saldanha, ed., State of Environment Report Karnataka, Centre for Taxonomic Studies, Bangalore, India, 1985. pp. 103-123.

4. Government of Karnataka. "Economic Survey 1994-95". Science and Technology Department, Government of Karnataka, Bangalore, India, 1995.

5. Development Commissioner, Ministry of Industry, Government of India, 1990. "Second all India Census of SSI units Registered up to 1988 - Vol. I & II", Government of India, New Delhi, India.

6. Ramachandra, T. V. "Efficient Wood Energy Devices for Cooking and Water Heating Purposes". Proceedings of the ECOTECH '94 computer conference, Ed. Eng-Leong Foo, UNESCO microbial resource centre, Stockholm, Sweden, 1994.

7. Gazatteer of India, 1985. "Uttara Kannada District". ed. Suryanath U. Kamath, Karnataka State Gazetteer, Government of Karanataka.

8. Nambiar, M. C., Bhasakara Rao, E. V. V. and Tenkamma Pillai, P. K. "Cashew" in T. K. Bose, S. K. Mitra, ed. Fruits: Tropical and Sub Tropical, Naya Prokash, Calcutta, 1994, pp. 386-419.

Address for Correspondence Top

Energy and Wetlands Research Group,
Centre for Ecological Sciences,
Indian Institute of Science, Bangalore - 560 012.