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Process Data set: Soybean meal and crude oil production_Nara (en) en

Key Data Set Information
Location BR
Geographical representativeness description Data from an industrial oil mill in Brazil. The data were collected (based mostly on Environmental reports of industries and literature source) in some soybean mill plants in Rio Grande do Sul state, which means that this dataset is representative within this region. The use fo this dataset for other areas of Brazil (extrapolation) could have low risk/criticality when consider the same technology.
Reference year 2005
Name
Soybean meal and crude oil production_Nara
Classification
Class name : Hierarchy level
  • ILCD: 1040:Manufacture of vegetable and animal oils and fats
General comment on data set This dataset represents the production of soybean crude oil, respectively soybean meal, from soybean. This process includes the process of extraction, degumming and neutralization. System boundary is at the oil mill.
Copyright Yes
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2012
Time representativeness description This dataset is valid once it represents the current technology for soybean oil extraction. The start and end date represents the data collection.
Technological representativeness
Technology description including background system Typical oil mill designed for soybean oil solvent extraction (incl. pre-cracking of soybeans, dehulling, oil extraction, meal processing and oil degumming). Literature data were used to fulfill the dataset when the primary data (from organizations which are under contract of the study) were not available.
Mathematical model
Variable / parameter Formula Mean value Minimum value Maximum value Uncertainty distribution type Relative StdDev in % General comment
water_cooling_UNO_input 2.44672097106997E-4 % m3
soy_oil 0.18238 % kg
temp_olca_param2 soy_oil 0.18238 %
temp_olca_param3 water_cooling_UNO_input 2.44672097106997E-4 %
temp_olca_param4 soy_oil/(22000000*50*0.9) 1.8422222222222222E-10 %
LCI method and allocation
Type of data set Unit process, black box
LCI Method Principle Other
LCI method approaches
  • Allocation - physical causality
Data sources, treatment and representativeness
Data treatment and extrapolations principles This dataset is intended for being part of the Brazilian LCI database. Information presented here were It was adapted from ecoinvent dataset to a Brazilian reality. To the adaptation, the data were compiled from Environmental reports of some oil mill factory in Brazil, required to the environmental licensing process and also from literature. Mainly, the energy source in Brazil is based on electrical energy and steam from oil and wood. Also, the water consumption and the composition of the effluents are different, following flows presented in this dataset.
Data source(s) used for this data set
Sampling procedure The dataset data is an average of four brazilian organizations were primary data were acessed. Literature data were used to fulfill the dataset when the primary data were not available. The flows of energy and water was collected based on factories environmental reports (FEPAM 2009/2011). While water flows were based in the reports and Müller (2012), the energy flows based on in the reports that gave the energy gross data. So, we used Gazzoni et al (2005), Rocha (2011), Scheneider & Oliveira (2006) and Silva and Freitas (2008) to share the groos energy among the sources (wood and gas). Regarding the outputs, the wastewater/effluent data (concentration [mg/l] of solids, BOD, P, Ca, N, Oils) came from primary data of industries which send those effluent to analysis in certified laboratories by (INMETRO - starndarlization council in Brazil). In order get the real mass of which output, the wastewater flow rate was calculated based on mass balance of the industrial process. the evaporating water was also result from the mass balance. Hexane is used in a closed system. It was considered input only the fraction that evaporating. The hexane concentration was estimated of 2 to 2,5% in the process. This assumption was take from the own mill plants.
Data collection period 2005-2012
Completeness
Completeness of product model No statement
Commissioner and goal
Intended applications This dataset is intended to be available for public use at the Brazilian LCI database.
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2016-03-01T00:10:14.595-03:00
Data set format(s)
Data entry by
Publication and ownership
UUID 51fa8e58-f2dc-4fea-ac94-7b5c0a2d8faf
Date of last revision 2016-03-01T00:07:20.202-03:00
Data set version 00.00.042
Copyright Yes
Access and use restrictions According to defined by IBICT.

Inputs

Type of flow Classification Flow Variable Mean amount Resulting amount Minimum amount Maximum amount
Elementary flow Elementary flows / water / unspecified 6.0779E-4 m36.0779E-4 m3
Product flow 0.51306 MJ0.51306 MJ 0.51208 0.51404
Product flow 0111:Growing of cereals (except rice), leguminous crops and oil seeds 1.0 kg1.0 kg
Elementary flow Elementary flows / resource / in water temp_olca_param3 1.0 m32.44672097106997E-4 m3
Product flow temp_olca_param4 1.0 Item(s)1.8422222222222222E-10 Item(s)
Product flow 0.0021402 kg0.0021402 kg 0.0016576 0.0025224
Product flow Materials production / Inorganic chemicals 0.0070781 kg0.0070781 kg 0.0054225 0.0083031
Product flow 1.6354E-4 kg1.6354E-4 kg 1.18631E-4 1.87469E-4
Product flow 0.63026 MJ0.63026 MJ
Product flow 0.34022 MJ0.34022 MJ 0.23248 0.44796
Product flow -0.01303 kg-0.01303 kg 0.010095 0.015362

Outputs

Type of flow Classification Flow Variable Mean amount Resulting amount Minimum amount Maximum amount
Product flow temp_olca_param2 1.0 kg0.18238 kg
Elementary flow Elementary flows / water / surface water 2.8066E-6 kg2.8066E-6 kg
Elementary flow Elementary flows / water / surface water 1.8892E-7 kg1.8892E-7 kg
Elementary flow Elementary flows / water / surface water 6.1328E-6 kg6.1328E-6 kg
Elementary flow Elementary flows / water / surface water 2.072E-5 kg2.072E-5 kg
Elementary flow Elementary flows / air / high population density 0.0021402 kg0.0021402 kg 0.0016576 0.0025224
Elementary flow Elementary flows / water / surface water 5.5406E-7 kg5.5406E-7 kg
Product flow 1040:Manufacture of vegetable and animal oils and fats 0.81048 kg0.81048 kg
Elementary flow Elementary flows / water / surface water 5.5951E-7 kg5.5951E-7 kg
Elementary flow Elementary flows / water / unspecified 7.26631E-5 m37.26631E-5 m3
Elementary flow Elementary flows / air / unspecified 5.35124E-4 kg5.35124E-4 kg