Energy is embodied in all of the equipment, inputs, and products of agriculture. Agriculture both uses and supplies energy in the form of bioenergy and food. The amount of energy used in agriculture has grown substantially, and currently, the agri-food chain accounts for 30 percent of the total energy used around the world . Sustainable agricultural production requires the optimization of land use, energy efficiency, end of the use of fossil energy sources, and minimization of environmental impacts. Current agricultural systems are heavily dependent on fossil energy resources. Energy analysis allows the quantification of the amounts of energy used for agricultural production and can be used to optimize energy consumption and increase energy efficiency to move agriculture closer towards sustainability.
Energy Analysis Methodology in Production Agriculture
Step 1: Defining scope and functional unit
The scope of energy analysis depends on the objective. Usually, the scope of energy analysis in production agriculture is confined to activities required for agricultural production, from the manufacture of inputs, energy used for production, and energy for storage of the products before they are sold (Figure 1). Energy consumption for different activities within an agricultural production system are usually defined in relation to the functional unit. Thus, the functional unit is usually expressed in terms of mass (e.g., 1 ton), area (e.g., 1 acre), or economic value (e.g., $1000 revenue). For estimating the overall energy requirements for different activities related to an agricultural production system, the direct inputs to all the activities (Figure 1) are identified. However, agricultural operations vary in their energy use based on the details of the production system. For example, a zero-till rain-fed corn production system may have much different energy use balance than an irrigated tillage system.
Step 2: Quantifying inputs to different activities of the agricultural production system
In energy analysis, energy and material requirements are estimated for the manufacture and transportation of inputs used for the different agricultural activities considered in the analysis. This allows the quantification of the amount of energy used for production, harvest, and post-harvest logistics operations in terms of the same functional unit. Figure 1 shows the energy using activities that must be accounted for in energy analysis for crop production agriculture. Inputs for crop production, harvest, and post-harvest logistics operations may include seeds, chemical fertilizers (nitrogen, phosphate, potassium, and sulphur), pesticides (herbicides, fungicides, and insecticides), diesel fuel, lubricants, electricity, manure, irrigation water, labor, and machinery. Some operations require special machines and equipment, such as tractors, cultivators, spreaders, sprayers, harvesters, irrigation systems, transportation equipment, and dryers, as well as facilities, such as transportation terminals and storage facilities for agricultural products and by-products.
Step 3: Converting the physical inputs and outputs to energy
The physical inputs and outputs of different agricultural operations need to be converted to common energy units using energy equivalent coefficients (Table 1). The energy equivalent coefficient of an input is defined as the sum of the energy consumed during the production of the input and the energy used for transportation of the input to the end user or local market. The energy used for production and transportation logistics varies based on differences in technology in different regions and countries, energy consumption for the specific production process used, and transportation distance and technology. So, the energy equivalent coefficient of an input varies substantially as a function of location. Energy equivalent coefficients for agricultural inputs are presented in Table 1.
|Table 1: Energy equivalent coefficients for production agriculture inputs.|
|Input||Unit||Energy equivalent coefficients (×103 BTU Unit-1) [Reference]|
||h||1.50 , 1.86 |
||gal||171.50 , 202.03 |
||101.89 , 102.32 , 126.83 |
||24.94 , 43.51 |
||49.44 , 84.26 , 92.86 |
||21.50 , 28.44 , 33.58 |
||5.09 , 5.35 , 7.48 |
||1.81 , 4.79 , 5.89 |
||kWh||3.41 , 11.31 , 11.85 |
||lb||10.75 for cereals and pulses , 43.0  and 44.5  for corn grain, 1.55 for oilseeds |
The energy embodied in the production of farm machinery and tractors is assumed to be depreciated over the economic lifetime of the equipment . The depreciated energy expressed as the fractional weight of the equipment for a working unit of a specific process is estimated using expression (1), as suggested by reference . The energy associated with the machinery is then calculated by multiplying the energy equivalent coefficient of the machinery (in BTU per pound) by the depreciated weight (in pounds).
For example, the depreciated weight for 10 hours of field work by an 8000-pound tractor with an economic lifetime of 12,000 hours is calculated as:
Irrigation is a major energy using process in arid regions of the world. Energy for water pumping alone may be several times greater than that for all the other agricultural field operations combined . Energy used for irrigation is both direct and indirect. Direct energy for irrigation is mostly consumed as electricity, diesel fuel, and labor. Indirect energy for irrigation consists of the energy consumed for manufacturing the materials for dams, canals, pipes, pumps, and equipment, as well as for construction of the works and buildings used for the on-farm irrigation system . Sunlight energy used for crop photosynthesis is not quantified in energy analysis since there is no cost for this type of energy .
Energy consumption for each agricultural operation is estimated by summing the energy consumed for each of the different inputs ed for that operation. Energy consumption for different operations contributes towards the “total energy input” for the agricultural production system. The magnitude of energy consumption from different operations, or production systems, can then be compared based on the pre-defined common functional unit.
Step 4: Interpreting the results of energy analysis
As a final step, the energy ratio (Eq. 3) is determined in which “energy output” (i.e., stored chemical energy of the product) is assessed relative to “total energy input” . The other indicator is energy productivity, which quantifies the production rate per unit energy use (Eq. 4). The net energy return is the absolute difference between “energy output” and “total energy input” (Eq. 5).
Some other energy indicators focus on the classification of energy consumption based on energy sources and types. The energy requirement for agricultural production is classified as direct and indirect, as well as renewable and non-renewable. Direct energy inputs include those that are directly consumed during crop production, harvest, and post-harvest operations. These include actual energy contained in diesel fuel, electricity, and labor. Indirect energy includes sequestered energy in seeds, farmyard manure, chemical fertilizers, pesticides, irrigation equipment, and all types of machinery. Non-renewable energy sources include diesel fuel, pesticides, chemical fertilizers, electricity made from coal or natural gas, and machinery, while renewable energy sources, in general terms, consist of labor, seeds, and farmyard manure, and any type of renewable energy that is used during the operations .
Energy use analysis in production agriculture is essential for development of more efficient production systems. Energy is either directly or indirectly consumed in different operations of agricultural production, including cultivation, harvest and post-harvest logistics. Energy analysis of agricultural production systems is conducted by defining the goal and scope, assessing input and output parameters, assigning their energy equivalents, and quantifying energy use indicators. Interpretation of the results can help policymakers, farmers, and manufacturers improve energy efficiency and the sustainability of production agriculture.
The authors thank Dr. Fred Michel, Professor; Dr. Harold Keener, Professor Emeritus and Associate Chair; and Mary Wicks, Program Coordinator; Department of Food, Agricultural and Biological Engineering, The Ohio State University for technical and editorial review of this fact sheet.
 Vourdoubas J, Dubois O. Chapter 7: Energy and agri-food systems: production and consumption. In: Global considerations on energy in agri-food systems. Available at: ciheam.org/uploads/attachments/445/07_Mediterra2016_EN.pdf (accessed: 5/14/2018)
 Liu Y, Høgh-Jensen H, Egelyng H, Langer V. Energy efficiency of organic pear production in greenhouses in China. Renew Agric Food Syst 2010;25:196–203.
 Erdal G, Esengün K, Erdal H, Gündüz O. Energy use and economical analysis of sugar beet production in Tokat province of Turkey. Energy 2007;32:35–41.
 Hetz EJ. Energy utilization in Chilean agriculture. Agric Mech Asia, Africa Lat Am 1992;23:52–6.
 Kitani O. CIGR handbook of agricultural engineering,” Volume 5: Energy and biomass engineering. ASAE Publications, St Joseph, MI. 1999.
 Mohammadi A, Rafiee S, Mohtasebi SS, Rafiee H. Energy inputs – yield relationship and cost analysis of kiwifruit production in Iran. Renew Energy 2010;35:1071–5.
 Beheshti Tabar I, Keyhani A, Rafiee S. Energy balance in Iran’s agronomy (1990–2006). Renew Sustain Energy Rev 2010;14:849–55.
 Rafiee S, Mousavi Avval SH, Mohammadi A. Modeling and sensitivity analysis of energy inputs for apple production in Iran. Energy 2010;35:3301–6.
 Kizilaslan H. Input–output energy analysis of cherries production in Tokat Province of Turkey. Appl Energy 2009;86:1354–8.
 Fathollahi H, Mousavi-Avval SH, Akram A, Rafiee S. Comparative energy, economic and environmental analyses of forage production systems for dairy farming. J Clean Prod 2018;182:852–62.
 Pimentel D, Patzek TW. Ethanol Production Using Corn, Switchgrass, and Wood; Biodiesel Production Using Soybean and Sunflower. Nat Resour Res 2005;14:65–76.
 Iriarte A, Rieradevall J, Gabarrell X. Life cycle assessment of sunflower and rapeseed as energy crops under Chilean conditions. J Clean Prod 2010;18:336–45.
 Nemecek T, Kagi T. Life Cycle Inventories of Swiss and European Agricultural Production Systems Final Report Ecoinvent V2.0 No. 15a. Agroscope Reckenholz-Taenikon Research Station ART, Swiss Centre for Life Cycle Inventories, Zurich and Dübendorf, CH. 2007.
 Khan S, Khan MA, Hanjra MA, Mu J. Pathways to reduce the environmental footprints of water and energy inputs in food production. Food Policy 2009;34:141–9.
 VanLoon GW, Patil SG, Hugar LB. Agricultural sustainability: strategies for assessment. Sage Publications; 2005.
 Mousavi-Avval SH, Rafiee S, Jafari A, Mohammadi A. Energy flow modeling and sensitivity analysis of inputs for canola production in Iran. J Clean Prod 2011;19:1464–70.