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

Informações sobre o conjunto de dados-chave
Localização BR-SP
Descrição da representatividade geográfica Itaju, Sao Paulo State, Brazil
Ano de referência 2021
Nome
Peanut shell pellets, at plant
Classificação
Nome da classe : Nível hierárquico
  • ILCD: Biomass pellets
Comentário geral sobre o conjunto de dados Data obtained though a semi structured interview made in 2021 with the industry owner in a technical visit at the enterprise located in São Paulo State, Brazil. It is considered from biomass collecting point to industry (distance: 10 kilometers in average). The pellets manufacturing considers a Lippel pelletizer machine with production capacity 10 ton/Hour in a cogeneration system: #17.845 MJ/Kg = Average calorific value for penut husk, based on the paper "Optimal use of condensed parameters of ultimate analysis to predict the calorific value of biomass" (Ozyuguran et al., 2014). #Furnace heating power (Kcal/h) 7,000,000 = 29,307.6MJ #Total peanut residue to the furnace = 1,642.34 KG Annual Production of the site = 1,048 ton/year pellets 1 Year is equal to 8,760h average time for production of 10 tons = 83h35min
Direitos autorais Não
Proprietário do conjunto de dados
Referência quantitativa
Fluxo(s) de referência
Representatividade de tempo
Conjunto de dados válido até 2021
Descrição da representatividade de tempo Data was collected in December 2021 and the reference year is 2021 (twelve months).
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 (2,095.83 CV = 1,562.8 kWh). According to the inteviwed people, the peanut shell is bought as dry mass. The data for biomass transportation to the factory considers the average distance from the collecting point to industry (10 km).
Modelo matemático
Variável / parâmetro Fórmula Valor médio Valor mínimo Valor máximo Tipo de distribuição de incertezas StdDev relativo em % Comentário geral
Pellets 10.0 LOG_NORMAL 1.0 % Total pellet production per reference flow
Distance_to_Industry 10.0 LOG_NORMAL 1.0 % According to the average estimates of Industry manager
Biomass_Gross 10.0 LOG_NORMAL 1.0 % Based on reference flow of 10 tons of pellets produced
Transport_Biomass_Gross distance_to_Industry *biomass_Gross 100.0 % Values in *tkm
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 pellets 10.0 %
temp_olca_param10 biomass_Gross 10.0 %
temp_olca_param11 transport_Biomass_Gross 100.0 %
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.
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 from São Paulo State. Data are based in 10 tons of produced pellets in 2021.
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 10 tons of peanut shell pellets production were obtained from semi-structured interviews performed in a technical visit to the Industry. Data is based on the internal companies data such as records of raw material consumption, emissions and waste management inventories. When process input/output data was not avaiable, secondary data were used.
Período de coleta de dados Data were collected in December 2021 and is based on the production statistics for 2021 (twelve months).
Integralidade
Completude do modelo do produto No statement
Comissário e objetivo
Projeto FAPESP grant number 2019/16996-4
Aplicações pretendidas This LCI can be used for any types of LCA studies demanding the southeast Brazilian pellets produced from peanut shell
Gerador de dados
Gerador / modelador de conjunto de dados
Entrada de dados por
Carimbo de tempo (último gravado) 2023-01-20T08:53:30.387-02:00
Formato(s) do(s) conjunto(s) de dados
Entrada de dados por
Publicação e propriedade
UUID 8c6bda5c-2b1a-4936-b649-44e1c49e1da2
Data da última revisão 2023-01-20T08:52:44.644-02:00
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
Agriculture, forestry and fishing / Growing of fibre crops temp_olca_param10 1.0 kg10000.0 kg
Comentário geral Considering biomass consumption to produce 10 tons of pellets Biomass is obtained as dry mass
Product flow
H:Transportation and storage / 49:Land transport and transport via pipelines / 492:Other land transport / 4923:Freight transport by road temp_olca_param11 1.0 t*km100.0 t*km
Comentário geral Biomass feed - avg distance of 10 km according to the Manager Considering 10 tons of biomass 10*10 = 100*TKM
Product flow
17.17 kg17.17 kg
Comentário geral Related to the Wheel loader which unload the biomass from the truck Considering a Caterpillar machine 966H with an avg. consumption of 14.6 liters per hour Diesel density = 0.85 l / kg = 17.17 Kilograms
Product flow
Energy / Utilities / Other Electric Power Generation 5626.08 MJ5626.08 MJ
Comentário geral Cogeneration, considering Lippel pelletizer machine
Product flow
L:Real estate activities / 68:Real estate activities 81300.00000000001 m281300.00000000001 m2
Comentário geral LUC data were calculated using the ‘Direct Land Use Change Assessment Tool’ from Blonk Consultants (2014) Total volumetric production per hectar = 6m³ Density of peanut shell = 205 kg/m³ Based on DOURADO et al., 2017. "Avaliação das propriedades físicoquímicas de resíduos lignocelulósicos"

Saídas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
Product flow
temp_olca_param9 1.0 kg10000.0 kg
Comentário geral According to the interviewed team, the biomass is obtained as dry mass which means that the input and output amount are the same