Energy consumption and air emission inventory for transportation sectors of Viet Nam - Pham Thi Hue

As calculated in Vietnam 2016, total energy consumption and CO2 emission of N3, N27÷N35, N36 are 15.90 Mtoe and 44.20 Mt, respectively. The results show the biggest contribution of transport activities in term of energy consumption and air emissions of Vietnamese economy. The study also evidences that among transportation service sectors, the road traffic occupies the highest share. Therefore, it is necessary to have the solution in order to reduce the burdens. One of the priorities should be the environmental friendly fuel replace. This paper can be used as a scientific basis for air pollution control in transportation sectors in particular and for air quality management in Vietnam.

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Vietnam Journal of Science and Technology 56 (2C) (2018) 30-35 ENERGY CONSUMPTION AND AIR EMISSION INVENTORY FOR TRANSPORTATION SECTORS OF VIET NAM Pham Thi Hue * , Nguyen Thi Anh Tuyet School of Environmental Science and Technology, Hanoi University of Science and Technology, 1 Dai Co Viet, Ha Noi *Email: huept@utt.edu.vn Received: 10 May 2018; Accepted for publication: 20 August 2018 ABSTRACT Aiming to clarify the environmental impact caused by transportation activities in sectors of Vietnam, this study uses the Input-Output (IO) model to assess energy consumptions and air emissions from railway, road traffic, waterway, transport service as well as aviation vehicles in 2016. The data is based on the 2012 IO table updated for 2016. All sectors of the original IO table are aggregated into 38 sectors where the transport service sectors are kept intact for the deeper analysis. The energy consumptions of transport activities are determined based on the net contribution rate of fuels to each product/service sector and the calorific value of each fuel type. Then multiplying with the corresponding emission factors of CO2, NOx and SO2, the respective emissions from above sectors are calculated. The results show the contribution of transport activities in total emissions of each product/service sector and compare these numbers among all the sectors. Additionally, the study evidences that among transportation service sectors, the road traffic occupies the highest rate in term of energy consumptions and air emissions as well. Keywords: IO table, energy consumption, transportation, CO2, NOx and SO2 emissions. 1. INTRODUCTION IO tables have been applied to estimate the energy consumption and air emissions of product and service sectors in a couple of countries included USA, ECs, Japan, Singapore and India [1, 2, 3]. In Viet Nam, since IO tables were firstly published in 2000, the number of IO table-based researches is very limited. In fields of energy and environment, energy productivity as well as hidden energy flows of 50 product and service sectors has been evaluated using IO table [4, 5]. However, its further analysis in transportation sectors is still new idea. This study aims to clarify environmental impacts caused by transportation activities in sectors of Vietnam. The study uses IO model to inventory energy consumption and CO2, NOx, and SO2 emission from railway, road traffic, waterway, aviation vehicles and other some transportation services in 2016. Energy consumption and air emission inventory for transportation sectors of Viet Nam 31 2. METHODS The study methodology is illustrated in Figure 1. After updating and aggregating IO table, energy consumption of a sector is determined based on the net contribution rate of fuels and its calorific value. Then, multiplying with air emission factors, the respective emissions are estimated. Figure 1. Diagram of inventory method. 2.1. Structure of an IO table The IO table presents the relations among economic sectors (Table 1). Interrelationships of the providing and demanding sectors are balanced, as seen in equations (1) and (2). Table 1. Structure of the IO table [2]. Goods sectors Intermediate demand Final demand Total output (X) 1 2 n Total Intermediate providing 1 z11 z12 z1n ∑ Y1 X1 2 z21 z22 z2n ∑ Y2 X2 n zn1 zn2 znn ∑ Yn Xn Total ∑ ∑ ∑ Value added V1 V2 Vn Total input (X) X1 X2 Xn Product/service sectors Pham Thi Hue, Nguyen Thi Anh Tuyet 32 Balance by rows and columns: Xi = ∑ Yi (i = ̅̅ ̅̅̅ ) (1) Xj = ∑ Vj (j = ̅̅ ̅̅ ̅ ) (2) where: n: number of economic sectors; zij: inter-industry sales by sector i to sectors j (million VND); Xi: total output of sector i (million VND); Xj: total input of sector j (million VND); Yi: final demand of sector i (million VND); Vj: value added of sector j (million VND). In the study, the original 2012 IO table is updated for 2016 using standard RAS method [3]. All product sectors of the updated IO table are aggregated into 38 sectors based on the Decision No. 10/2007/NĐ-CP [6], where the transport service sectors are kept intact for deeper analyses. 2.2. Estimation of energy consumption and air emissions Energy consumption (EDi) and air emissions (Ei) of sector i are defined as following [7]: ∑ ∑ (3) ∑ (4) where: EDi,n is energy consumption of fuel n in sector i; ri,n is net contribution rate of fuel n in sector i; mi,n is amount of fuel n consumed in sector i; qn is calorific value of fuel n; EFn is emission factors of fuel n. The IO tables have been compiled in currency unit and based on the producer’s price. In order to get mi,n, the updated IO table is then converted into the table of hybrid units in which primary energy sectors are compiled in physical units. In this calculation process, price of fuels in 2016 are determined as the follows: price of hard coal and lignite is averaged according to the General Statistical Office; price of crude oil, price of natural gas and LPG as well as price of gasoline and lubricants are respectively averaged according to Petrolimex. In this study, toe (tons of oil equivalents) is used as standard unit for energy consumption. Emission factors EFn are determined from valuable sources [7, 8]. Energy production sectors use primary energy sources as main input materials, therefore the sectors are not appeared in the corresponding calculation in order to avoid double counting. 3. RESULTS DISCUSSION 3.1. Energy consumption in sectors As the results, energy consumption of 38 product and service sectors is described in Figure 2. It’s seen that among the sectors, transport sectors (N27÷N35), fishery and aquaculture sector (N3) and communication and tourism sector (N36) were the highest energy consumers with 15.90 Mtoe, occupied about 40.93 % of total energy consumption of Vietnam in 2016. These sectors use gasoline and DO as main energy sources for their transportation activities. Other biggest energy consumers are building materials sector (N15), basic chemicals sector (N14) and electrical production and delivery sector (N21). Those sectors use hard coal and natural/LPG gas as main energy sources in their production processes. Energy consumption and air emission inventory for transportation sectors of Viet Nam 33 Figure 2. Energy consumption inventory for 38 sectors in 2016. Note: N1: Agriculture and its services; N2: Forestry and its services; N3: Fishery and aquaculture; N4: Hard coal and lignite; N5: Crude oil; N6: Natural gas or LPG; N7: Extractive; N8: Food process; N9: Fashion manufacture; N10: Paper and its service; N11: Coking coal; N12: Gasoline and lubricants; N13: Other oil mining; N14: Basic chemicals; N15: Building materials; N16: Metal production; N17: Electronic, electric equipment; N18: Equipment and tool production; N19: Transport mean production; N20: Medical equipment; N21: Electrical production and delivery; N22: Gas and services; N23: Water; N24: Waste treatment; N25: Construction; N26: Trading, repairing services of automobiles, motorcycles and motors; N27: Railway passenger services; N28: Railway freight services; N29: Bus transport services, other road passenger transport services; N30: Transport services by road, pipeline; N31: Coastal shipping passenger services; N32: Coastal shipping freight services; N33: Aviation passenger services; N34: Aviation freight services; N35: Warehouse services and other services of transport activities; N36: Telecommunications and tourism services; N37: Insurance service; N38: Other services. 3.2. Air emissions from transportation activities In term of air emissions, its results are described in Figure 3 and the emission data extraction of transport activities are listed in Table 2. CO2, NOx emissions of building materials sector are very large due to using the high hard coal as mentioned above. Total CO2 emission from transport sectors (N27÷N35), fishery and aquaculture sector (N3) and telecommunications and tourism sector (N36) were also the highest with amount of 44.20 Mt (39.05 % of total emission). This means that these sectors are contributed mainly into GHG emission. Then, their NOx emission is the high ratio of 168.83 kt (62.06 % of total emission). In case of calculating for transport activities (N27÷N35) is about 142.86 kt, occupied 52.51 % due to the high mobile sources emission factors. Similarly, SO2 emission of three sector groups is also eliminated the amount of 49.41 kt, equivalent of 37.22 % in comparison with the total emission. In fact, NOx and SO2 are not GHGs but their presence in the atmosphere may influence directly to human health and the global environmental problems. Table 2. Air emissions data of transport sectors. Code N27 N28 N29 N30 N31 N32 N33 N34 N35 CO2 (kt) 71.48 63.23 3670.72 8613.43 362.37 3679.39 3630.89 657.41 988.28 NOx (kt) 0.71 0.63 21.38 56.82 4.48 82.73 8.99 1.63 1.11 SO2 (kt) 0.10 0.09 3.39 12.65 0.53 6.39 5.33 0.97 0.86 Pham Thi Hue, Nguyen Thi Anh Tuyet 34 Figure 3. Air emissions inventory for 38 sectors in 2016. Figure 4 presents CO2, NOx and SO2 emissions from transport activities in fishery and aquaculture sector (N3), telecommunications and tourism sector (N36) and transportation sectors included railway (N27+N28), road (N29+N30), coastal shipping (N31+N32), aviation (N33+N34) and other services (N35). Figure 4. CO2, NOx and SO2 emissions from biggest transport activities in 2016. As seen in the figure, CO2, NOx and SO2 emitted from road transport activities (N29+N30, N36) were highest and the next contributors were shipping transport activities (N3, N31+N32). Among each product and service sectors, CO2 and SO2 emissions from fishery and aquaculture sector (N3) and telecommunications and tourism sector (N36) contributed significantly to total corresponding emission from transport activities. CO2 emission of N3 and N36 occupied 26.91 % and 23.91 % of the total, respectively. SO2 emission of N3 and N36 occupied 20.86 % and 16.76 % of the total, respectively. NOx emissions from road transportation sectors (N29+N30) was highest. It is also seen that that CO2, NOx and SO2 emissions from passenger transport service of railway and aviation are larger than their freight services. Meanwhile the emissions of road freight transport, coastal shipping freight service are higher than their passenger services. As the results, the transport activities have been the largest GHG generator in Vietnam. It is necessary to replace the fuels by alternative sources such as biofuels. As published by FAO, using 1 MJ of E5 instead of 1 MJ of gasoline would save 37-39 % of GHG emission in life cycle of the product [9]. Energy consumption and air emission inventory for transportation sectors of Viet Nam 35 4. CONCLUSION As calculated in Vietnam 2016, total energy consumption and CO2 emission of N3, N27÷N35, N36 are 15.90 Mtoe and 44.20 Mt, respectively. The results show the biggest contribution of transport activities in term of energy consumption and air emissions of Vietnamese economy. The study also evidences that among transportation service sectors, the road traffic occupies the highest share. Therefore, it is necessary to have the solution in order to reduce the burdens. One of the priorities should be the environmental friendly fuel replace. This paper can be used as a scientific basis for air pollution control in transportation sectors in particular and for air quality management in Vietnam. Acknowledgment. The authors wish to thank School of Environmental Science and Technology, Hanoi University of Science and Technology for the academic supports. This research is partly supported by B2017 – BKA – 42 project. REFERENCES 1. Su B., Ang B. W. and Li Y. - Input-Output and structural decomposition analysis of Singapore’s carbon emission, Energy Policy 105 (2017) 484-492. 2. General Statistical Office - IO table of Vietnam in 2012, Statistical Publishing House, 2015, 1- 228. 3. Ronald M. E. and Peter B. D. - Input-Output Analysis Foundations and Extensions, The United States of America by Cambridge University Press, New York, 2009, 2-346. 4. Tuyet N. T. A. and Ishihara K. N. - Analysis of changing hidden energy flow in Vietnam, Energy Policy 34 (2006) 1883-1888. 5. Tuyet N. T. A. and Ishihara K. N. - Energy productivity during the years of Doi Moi, Journal of applied Input-Output analysis 11 (2006) 137-149. 6. Prime Minister - The Decree No 10/2007/NĐ-CP dated 23/01/2007 on the economic sector system of Vietnam, 2007 (in Vietnamese). 7. Nansai K., Moriguchi Y. and Tohmo S. - Embodied Energy and Emission Intensity Data for Japan Using Input-Output Tables, Center for Global Environmental Research, CGER- D031, 2002, 21-40. 8. Intergovernmental Panel on Climate Change (IPCC) - Guidlines for National Greenhouse Gas Inventory, 1996 and 2006. 9. Tuyet N. T. A., Giang C. H., Ha P. Q. and Tho V. D. S - Sustainability of biogas and cassava-based ethanol value chains in Vietnam, Food and Agriculture Organization of the United Nations 69 (2018) 45-92.

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