November 2013 - RS Publication

3 downloads 6193 Views 650KB Size Report
Nov 13, 2013 - Demand of energy in agricultural division and emission associated with crop ... Key words: Agriculture sector,Long Range Energy Alternatives ...
International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

Energy and Emission Abatement Scenarios in Agriculture Sector of Rawalpindi and Islamabad Summra Erum#1, Rabia Shabbir#2,Rabail Urooj#3, Mohammad Nawaz#4,Sheikh Saeed Ahmad#5. #1 Department of Environmental Sciences, Fatima Jinnah Women UniversityRawalpindi, Pakistan, 00 92 336 5039378, [email protected] #2 Department of Environmental Sciences, Fatima Jinnah Women University Rawalpindi, Pakistan, 0092 51 9270050183, [email protected] #3 Department of Environmental Sciences, Fatima Jinnah Women University Rawalpindi, Pakistan, 0092 345 5276713, [email protected] #4 Department of Environmental Sciences, Bahauddin Zakariya University, Multan, Pakistan, 0092 300 7197054, [email protected] #5 Department of Environmental Sciences, Fatima Jinnah Women University Rawalpindi, Pakistan, 00 92 321 5167726, [email protected]

ABSTRACT Demand of energy in agricultural division and emission associated with crop production and farm operations analyzed by modeling software called LEAP. By this software total demand for energy in agricultural area estimated from the base year 2009 to 2030, for future energy requirement by mean of extrapolation. Different scenarios were developed by putting secondary data of energy consumption. First scenario named “Business-as-usual” scenario and two alternative scenarios i.e. Fuel Efficiency improvement and Biofuel scenario were created to predict future energy demand in agricultural sector of Rawalpindi/Islamabad. The calculations showed that Fuel Efficiency Improvement scenario proved to be better as compared to other scenario.Sustainable agricultural practices could be used to meet the accelerated growth targets with reduced energy demand and emissions. Key words: Agriculture sector,Long Range Energy Alternatives Planning System, Scenario analysis, Pakistan. Corresponding author: [email protected]

INTRODUCTION Pakistan is agricultural based country where majority of people are relates to farming. Whereas twenty five percent land area in Pakistanis under farming. Total 23% of GDP based upon agriculture and 44% of the labor force employs relating to farming.So economy of Pakistan is mainly relying on Agriculture sector [1].Besides the effects of toxinsare documented on the economic yield of major agricultural crops [2, 3, 4]. The consistent energy supply is important provision for substantial growth in Pakistan’s agriculture R S. Publication, [email protected]

Page 227

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

productivity. Access to Fuel or electricity is very costly and limited for farmers in most Asian countries for different agricultural operations and processing. So if access to fuel can be develop and all demand can be fulfill by generating more fuel, then a possiblebarricade to agricultural growth can be evaded. Rural and overall development in economy can be stimulated by the Fast growth in agricultural production. Because energy provision for agriculture is veryvital for the sustainable well-being of Pakistan [1].In present study energy based model LEAP was used to forecast the upcoming energy requirements in agriculture sector. LEAP has had a noteworthyimpression in determining energy and environmental polices worldwide. Up till nowadays LEAP had been used in more than 150 countries successfully for different purposes. Study Area Islamabad and Rawalpindi are frequentlyobserved as one unit and name as twin cities. Islamabad iscapital of Pakistan and located at 33°40΄N 73˚10΄E whereas Rawalpindi is a city near Islamabad and located in the Pothwar Plateau. Growing population in both cities have made growing demands on natural resources and increase burden on land which ultimately leads to adverse effects on the environment [5]. After industries agriculture in Rawalpindi and Islamabad is one of the main components of economy for overall area. Rawalpindi and Islamabad has 259 Km2 and 446 Km2 respectivelyrural areas. Olives, apples, peaches, walnut, citrus, apricot, plums, common vegetables, wheat, rice, maize and bajra are growing and cultivating in these twin cities. Objective of the study Keeping in view the importance of energy for agriculture growth, the study was confined to collect and document the energy requirements associated with field activities. The present study was aimed to document the future energy requirements and emissions of agriculture sector in Rawalpindi and Islamabad. METHODOLOGY Following activities were performed to achieve the aim of the study; Collection of available data:Data was collected from national statistical publications, economic survey of Pakistan, energy year books, local and international research studies, and different research reports. Different institutes and research centers visited for data collection and guidance are as follows: National Agriculture Research Center, Pakistan Environmental Protection agency, Federal Bureau of Statistics, HaglerBaillyPakistan,National Transport Research center. LEAP Model:For future energy prediction energy based computer model named as LEAP was used.This model is disaggregated in a classified tree structure of four levels: sector, subsector, end-use, and device. Algorithmic calculations for analysis purpose were: E (t) = ΣVi(t) x VKTi(t) x EFij(t) x Fi(t)……………………………………………… (1) E(t) is the total emission R S. Publication, [email protected]

Page 228

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

V(t) is the number of vehicles VKT(t) is the average annual vehicle-km travelled by a vehicle in year t EF(t) is the emission factor of pollutant F(t) is the fuel economy Sector

Sub-sector(s)

Agriculture Existing

End-use

% Share

Device Field operation

Crops Machinery

Tractors Others

Fig2. Structure of analysis using LEAP Scenario Construction: Three scenarios were constructed. One and first was BAU (businessas-usual) and other two were alternative scenarios i.e. FEI (Fuel Efficiency Improvement) and BF (Bio-Fuel) for future energy policy and planning. Under these scenarios future demand and emission of pollutants were analyzed and extrapolated. Table 1.Strategic decision and expectations for scenario generation. Scenario

Strategic Decisions

This scenario was steady with an extension of the provincial agriculture growth rate.

BAU Alternative Scenarios

Expectations

Fuel Efficiency The aim of this scenario was to improve the fuel efficiency so that minimize the Improvement consumption of fuel. This scenario was based on agricultural growth rate of 5% per annum. Bio-Fuel Scenario

The aim of this scenario was to improve the fuel efficiency so that minimize the consumption of fuel. This scenario was based on agricultural growth rate of 5% per annum.

RESULTS AND DISCUSSION Agriculture has a dynamic role in economic growth generation directly or indirectly. The significance of agriculture in economy is the provision of food and fiber to consumers and domestic industries. The present study was carried out for forecasting the possible ailments which the industrial sector of Islamabad may came across in coming future. The study was focused on four factors i.e. Energy Consumption, Total Emissions, Crop Production and Agricultural Operations. Two type of scenarios BAU and alternative scenarios were R S. Publication, [email protected]

Page 229

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

considered in order to assess the possible energy management and emission reduction. In alternative scenarios energy productivity upgrading in particular usages was introduced in the agriculture sector. The selected base year was 2009and projected from 2010 up to 2030. Energy Consumption: Energy has grown as a deliberate service. Due to the occurrences of oil price shocks in the 1970 energy security issues became a vibrant attention in the national policy [6].

Current Situation:

Figure 3. Energy consumption in Agriculture sector Electricity consumption in agriculture sector in 2009 was about 34 million tonnes while oil consumption was about 2.6 million tones. Bio fuel consumption was 0.3 million tones. Business as Usual Scenario

Fig 4. Energy consumption in Agriculture sector in Business as Usual scenario Oil and electricity are the major fuels used in agriculture sector but nowadays bio fuel is also consumed to meet the demands of energy. Comparison of different Scenarios: Fuel consumption in BAU scenario was about 283.9 million tones while in FEI and in BIO scenarios it was about 108 and 200 million tones.

R S. Publication, [email protected]

Page 230

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

Table 5. Energy Consumption in Agriculture sector for different scenarios (Million Tones) Scenarios/Year

2009

2030

BAU

36.9

283.9

FEI

36.9

108

BIO

36.9

200.7

Total Emission: The quality of air in almost in all the big cities about 50% times in the year remains unhealthy. The level of pollutant is found many times higher than the guidelines values set by WHO or US-EPA. Current Situation: Figure (5) showed the amount of CO2, NOx, SO2, PM10, Ammonia, Methane and Ozone in agriculture sector of twin cities in year 2009. The total emissions of 81.8 million tonnes.

Fig 5. Total Emissions in Agriculture sector 2009 Business as Usual Scenario:Ammonia showed highest concentration among all the pollutants.

Figure 6. Total Emissions in Agriculture sector in Business as Usual scenario Comparison of different Scenarios: In order to examine the possible reduction of emission in agriculture sector, references scenario was taken as BAU because the present technologies remain unchanged in the future. Then two alternative scenarios were compared with the BAU R S. Publication, [email protected]

Page 231

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

scenario in order to check that which scenario have the minimum emissions shown in Table 6 that in BAU the total energy consumption calculated to be 81.8, which decreased in FEI and increased BIO scenarios and their values were found to be 239.3 and 444.8 million tonnes respectively. Table 6. Total Emissions in Agriculture sector for different scenarios(Million Tonnes) Scenarios/Year

2009

2030

BAU

81.8

406.4

FEI

81.8

239.3

BIO

81.8

444.8

Crop Production Current Situation: Present share of production of major crops of Islamabad/Rawalpindi in base year, 2009 (Figure 7).Wheat had the highest production, after wheat rice, maize and bajra had the production rates.

Fig7. Crop production in Agriculture sector in 2009 Business as Usual Scenario:

Fig 8. Crop production in Agriculture sector in Business as Usual scenario Comparison of different Scenarios: In reference scenario time period was drawn-out from 2009 to 2031 to estimate the future increase in production rates of major crops. Comparison R S. Publication, [email protected]

Page 232

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

of different scenarios showed that crop production in BAU was 44.3,in FEI 51106.40 and in BIO 9490.10 million tonnes. Table 7. Crop production in Agriculture sector for different scenarios (Million Tonnes) Scenarios/Year

2009

2030

BAU

1.7

44.3

FEI

1.7

51106.40

BIO

1.7

9490.10

Agricultural Operations: For upgrading of agriculture mechanization as a devicehas been well documented. Because the mechanization improves productivity and produces great harvesting intensity. Current Situation:

Fig 9. Machinery in Agriculture in 2009 Business as Usual Scenario:

Fig 10. Machinery in Agriculture in Business as Usual R S. Publication, [email protected]

Page 233

International Journal of Emerging Trends in Engineering and Development Available online on http://www.rspublication.com/ijeted/ijeted_index.htm

Issue 3, Vol.6 (November 2013) ISSN 2249-6149

Comparison of different Scenarios: Table 8 showed the comparison of different scenarios for machinery production. The production would be increase from 704.7 in BAU to 73.8 in FEI and 137.2 million tones in BIO scenario. Table 8. Machinery in Agriculture sector for different scenarios (Million Tonnes) Scenarios/Year

2009

2030

BAU

25.2

704.7

FEI

25.2

73.8

BIO

25.2

137.2

Similar study was conducted in Ethiopia and it was found that energy demand of agriculture increase from 6% in 2000 to 24% in 2030 [7].Thus agriculture sector of Pakistan has the potential to provide the liquid fuel like diesel for electricity production and possiblesource of bioenergy supply. By this fuel alternatives could help to come acrossever growing agricultural energy necessities. Sustainable agriculture scenario is the best choice to minimize environmental impacts and external inputs. REFERENCES [1] Food and Agriculture Organization of the United Nations (FAO UN), Agriculture: Towards 2010, Proceedings of the Twenty-seventh session, Rome, 1993. [2] Wahid, A., Milne, E., Shamsi, S.R.A., Ashmore, M.R.,Marshall, F.M., Effects of oxidants on soybean growth and yield in the Pakistan, Punjab,Environmental Pollution, 113: 271-280, 2001. [3] Ashmore, M.R., Marshall, F.M., Wahid, A., Direct impacts of pollutant gases on crops and forests, In: Regional Air Pollution in Developing Countries. (Eds.): Ashmore&Emberson. Pubs.Swedish Environmental Development Authority. pp. 21-33,1998. [4] Aunan, K., Berntsen, T.K., Seip, H.M., Surface ozone in China and its possible impact on agricultural crop yields,Ambio, 29: 294-301, 2000. [5] Sheikh, I. M., Pasha, M.K., Williams, V.S., Raza, S.Q., Khan, K.S.A.,Environmental Geology of the Islamabad-Rawalpindi Area, Northern Pakistan.Geological Survey of Pakistan, Bulletin 2078-G, 1-2p, 2007. [6] Mukhtar, H.S., Arshad, H.Q., Energy modeling applications for analysis of policy options-an overview, Proceedings of the 6th WSEAS International Conference on Simulation, Modeling and Optimization, Lisbon, Portugal, 2006. [7] Engdayahu, A.,National Energy Sector Greenhouse Gas Emissions of Ethiopia and Its Mitigation Analysis. Master thesis, Environmental Science Program, Addis Ababa University Ethiopia, 2007.

R S. Publication, [email protected]

Page 234