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Process Data set: Pinus pellets, at plant (en) en

Key Data Set Information
Location BR-PR
Geographical representativeness description Telemaco Borba, Paraná State, Brazil
Reference year 2020
Name
Pinus pellets, at plant
Classification
Class name : Hierarchy level
  • ILCD: Biomass pellets
General comment on data set Data collected through online survey sent to the enterprise in February 2021. The answers were given in definitive by the Industrial manager after three months, in May 2021 Company is located in Paraná State, Brazil. Dataset is based in average production rate for 2020, which is 1,500 ton of pellets per month. 5% used in the own site (75ton) , 35% intern market (525 ton), and 60% for exportation (900 ton) Considering Lippel pelletizer machine 10 ton/Hour (2,095.83 CV = 1,562.8 kWh): Distances: From biomass collecting point to industry: 06 Kilometers in average
Copyright No
Owner of data set
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2020
Time representativeness description Reference year is 2020, in a way that data was collected in May 2021
Technological representativeness
Technology description including background system Data related to electricity consumption is based on a Lippel pelletizer machine with capacity of 10 ton/Hour: The data for biomass transportation to the factory considers the average distance from the collecting point to industry.
Mathematical model
Variable / parameter Formula Mean value Minimum value Maximum value Uncertainty distribution type Relative StdDev in % General comment
Biomass_gross 1600.0 LOG_NORMAL 1.0 % Considering month rates according to the manager
Transport_Biomass_Gross distance_to_Industry *Biomass_gross 9600.0 % Values in t*km
Distance_to_Industry 6.0 LOG_NORMAL 1.0 % According to the average estimates of Industry manager
Pellets 1500.0 LOG_NORMAL 1.0 % Total pellet production per month
gd_price_waste 0.5 % This parameter was added by GreenDelta during the implementation of the ecoinvent database in openLCA. It is used by those exchanges which did not have a price specified by ecoinvent for being wastes (i.e. negative reference product), and that were considered that they should have a cost/revenue specified. The prices used for them, equal to the prices of the same product in other processes of the database, are modified by this parameter with value 0.5 (i.e. half the price of the normal product), considering that the reference product of a waste treatment process might have a lower price in reality than the same flow produced by a production process. However, you can modify this value to 0 if you prefer to consider no price for them like ecoinvent, or also 1 if you do not want to distinguish wastes from other products.
gd_price_product 1.0 % This parameter was added by GreenDelta during the implementation of the ecoinvent database in openLCA. It is used by those exchanges which did not have a price specified by ecoinvent and that were considered to be products or co-products of waste treatments (i.e. positive reference product), and that they should have a cost/revenue specified. The prices used for them, equal to the prices of the same product in other processes of the database, are modified by this parameter with value 1. However, you can modify this value to 0 if you prefer to consider no price for them like ecoinvent.
ei_price_product 1.0 % This parameter was added by GreenDelta during the implementation of the ecoinvent database in openLCA. It is used by those exchanges which did not have a price specified by ecoinvent in this specific system model, but yes in at least one of the other two system models. The prices used for them, equal to the prices of the same product and provider in the other system model, are modified by this parameter with value 1. However, you can modify this value to 0 if you prefer to consider no price for them in this system model like ecoinvent.
Heavy_metal_uptake 1.0 % Take the heavy metal emissions into account? Yes = "1", "no" = "0" (If the heavy metals direct emissions are included, put the value to "1". If the heavy metals direct emissions are excluded, put the value to "0".)
LUC_crop_specific 1.0 % Approach for LUC: If the approach is "Crop specific", put the value to "1". If the approach is "Shared responsability", put the value to "0"
temp_olca_param9 transport_Biomass_Gross 9600.0 %
LCI method and allocation
Type of data set Unit process, black box
LCI Method Principle Other
Deviation from LCI method principle / explanations Attributional.
LCI method approaches
  • Allocation - physical causality
Modelling constants The LCI is entirely done with an attributional methodology.
Data sources, treatment and representativeness
Data cut-off and completeness principles No statement.
Deviation from data cut-off and completeness principles / explanations None.
Data selection and combination principles All the input/output data was collected for the specific context of the studied Brazilian enterprise at Paraná State, and are based on average results for the reference year 2020.
Deviation from data selection and combination principles / explanations None.
Data treatment and extrapolations principles see 'Geography' and 'Technology' in 'General information' section.
Data source(s) used for this data set
Sampling procedure Average values representing one month of pinus pellets production. Data were obtained through online survey performed with a Microsoft Excel spreadsheet. Answers were sent by Industrial manager in May 2021 and are based on internal measurements and records of raw material consumption, emissions and waste management statistics during 2020. When process input/output data was not avaiable, secondary data were used to complete the inventory.
Data collection period The survey were sent to the Industrial Manager in February 2021 and the final answers were recived in May 2021. Data is based on 2020 production statistics.
Completeness
Completeness of product model No statement
Commissioner and goal
Project FAPESP PROCESS 2019/16996-4
Intended applications This LCI can be used for any types of LCA studies demanding the southeast Brazilian pellets produced from residual pinus.
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2023-01-17T10:36:15.143-02:00
Data set format(s)
Data entry by
Publication and ownership
UUID 453bd558-1017-459e-b087-90c2b203cd9b
Date of last revision 2023-01-17T10:34:18.198-02:00
Data set version 00.00.037
Unchanged re-publication of
Owner of data set
Copyright No
Access and use restrictions The dataset can be used free of charge by anybody to perform LCA studies, to distribute it to third parties, to convert it to other formats, to develop own data sets, and for any other application.

Inputs

Type of flow Classification Flow Variable Mean amount Resulting amount Minimum amount Maximum amount
Product flow
H:Transportation and storage / 49:Land transport and transport via pipelines / 492:Other land transport / 4923:Freight transport by road temp_olca_param9 1.0 t*km9600.0 t*km
General comment Considering 1,600 tons transported each month by an average distance of 6 km 1,600 ton * 6km = 9,600 tkm
Product flow
Energy / Utilities / Other Electric Power Generation 514800.0 MJ514800.0 MJ
General comment Cogeneration, considering Lippel pelletizer machine
Product flow
D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 352:Manufacture of gas; distribution of gaseous fuels through mains / 3520:Manufacture of gas; distribution of gaseous fuels through mains 280.0 kg280.0 kg
General comment Fuel for the fork-lift
Product flow
L:Real estate activities / 68:Real estate activities 39020.0 m239020.0 m2
General comment LUC data were calculated using the ‘Direct Land Use Change Assessment Tool’ from Blonk Consultants (2014) Based on an year production rate of 820 m³/ha and Density of 500 kg/m³
Product flow
C:Manufacturing / 16:Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials / 161:Sawmilling and planing of wood / 1610:Sawmilling and planing of wood 3200.0 m33200.0 m3
General comment 1,600 ton; Density = 500kg/m3

Outputs

Type of flow Classification Flow Variable Mean amount Resulting amount Minimum amount Maximum amount
Product flow 1500000.0 kg1500000.0 kg
Elementary flow Elementary flows / Emission to air / unspecified 98000.0 kg98000.0 kg
Product flow C:Manufacturing / 16:Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials / 162:Manufacture of products of wood, cork, straw and plaiting materials / 1621:Manufacture of veneer sheets and wood-based panels 4.0 m34.0 m3