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Processoepd.additionalLciaResults = Indicadores adicionais de impacto ambientalConjunto de dados: Pinus pellets, at plant (br) en

Informações sobre o conjunto de dados-chave
Localização BR-PR
Descrição da representatividade geográfica Telemaco Borba, Paraná State, Brazil
Ano de referência 2020
Nome
Pinus pellets, at plant
Classificação
Nome da classe : Nível hierárquico
  • ILCD: Biomass pellets
Comentário geral sobre o conjunto de dados 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
Direitos autorais Não
Proprietário do conjunto de dados
Referência quantitativa
Fluxo(s) de referência
Representatividade de tempo
Conjunto de dados válido até 2020
Descrição da representatividade de tempo Reference year is 2020, in a way that data was collected in May 2021
Representatividade tecnológica
Descrição da tecnologia, incluindo sistema de fundo 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.
Modelo matemático
Variável / parâmetro Fórmula Valor médio Valor mínimo Valor máximo Tipo de distribuição de incertezas StdDev relativo em % Comentário geral
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 %
Método LCI e alocação
Tipo de conjunto de dados Unit process, black box
Princípio do Método LCI Other
Desvio do princípio do método LCI / explicações Attributional.
O método LCI se aproxima
  • Allocation - physical causality
Constantes de modelagem The LCI is entirely done with an attributional methodology.
Fontes de dados, tratamento e representatividade
Princípios de corte e completude de dados No statement.
Desvio dos princípios/explicações de corte e completude de dados None.
Seleção de dados e princípios de combinação 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.
Desvio da seleção de dados e princípios/explicações de combinação None.
Princípios de tratamento de dados e extrapolações see 'Geography' and 'Technology' in 'General information' section.
Fonte(s) de dados utilizada(s) para este conjunto de dados
Procedimento de amostragem 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.
Período de coleta de dados 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.
Integralidade
Completude do modelo do produto No statement
Comissário e objetivo
Projeto FAPESP PROCESS 2019/16996-4
Aplicações pretendidas This LCI can be used for any types of LCA studies demanding the southeast Brazilian pellets produced from residual pinus.
Gerador de dados
Gerador / modelador de conjunto de dados
Entrada de dados por
Carimbo de tempo (último gravado) 2023-01-17T10:36:15.143-02:00
Formato(s) do(s) conjunto(s) de dados
Entrada de dados por
Publicação e propriedade
UUID 453bd558-1017-459e-b087-90c2b203cd9b
Data da última revisão 2023-01-17T10:34:18.198-02:00
Versão do conjunto de dados 00.00.037
Republicação sem alterações de
Proprietário do conjunto de dados
Direitos autorais Não
Restrições de acesso e uso 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.

Entradas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
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
Comentário geral 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
Comentário geral 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
Comentário geral Fuel for the fork-lift
Product flow
L:Real estate activities / 68:Real estate activities 39020.0 m239020.0 m2
Comentário geral 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
Comentário geral 1,600 ton; Density = 500kg/m3

Saídas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
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