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Process Data set: Electricity from biogas_1-700 kW, Anaerobic digestion and cogeneration, at plant (en) en

Key Data Set Information
Location IT
Reference year 2013
Name
Electricity from biogas_1-700 kW, Anaerobic digestion and cogeneration, at plant
Technical purpose of product or process Electricity from biogas sold to Italian electric grid.
Synonyms Elettricità da biogas_1-700 kW, digestione anerobica e cogenerazione
Classification
Class name : Hierarchy level
  • ILCDCategories: Energy carriers and technologies / Electricity
General comment on data set Dataset developed according to Arcadia project Methodology (Report: “Metodologia per gli studi di filiera della Banca Dati italiana LCA”). LCA study of electricity production from biogas (Report: “La filiera del biogas per la produzione di energia elettrica in Italia”). The dataset refers to the production of 1 kWh of electricity from biogas derived from agricultural-forest biomass and animal manure, at plants with a nominal power in the range 1-700 kW, and it is representative of the processing technologies commonly used for this purpose (anaerobic digestion and cogeneration at CHP plants).
Copyright Yes
Owner of data set
Data set LCA report, background info
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2026
Time representativeness description This dataset has been considered valid until 2026, since no main changes have occurred in the electricity production from biogas in the investigated years.
Technological representativeness
Technology description including background system This dataset refers to the production of energy from biogas produced starting from agro-forestry biomass and zootechnical effluents. The dataset includes, according to a Cradle-to-Gate approach, the production of dedicated crops, the transport of biomass to the anaerobic digestion plants, for biogas production, and the biogas conversion into electricity and heat, in cogeneration plants (CHP plants), with a nominal power between 1-700 kW. The environmental load from residual biomass and zootechnical effluents generation processes has not been considered, according to the pertinent literature (“zero burden approach”). The anaerobic conversion and cogeneration processes were assumed to be energy self-sufficient, since they use some of the self-produced electricity (10%) and heat (15%) (and sell the remaining part to the national grid). Primary data (farms involved in the ENAMA project) and secondary data (literature and/or pertinent database) representative of Italian supply chain for the geographical characteristics and used technologies (machineries, equipment, etc) were collected. Inventory data have been collected as physical quantities of materials used in the different processes. The benefits from energy self-consumption was included. Finally, For the evaluation of the impacts associated with the production of electricity and the production of heat, an exergy allocation has been made. Background data were modelled according to EcoInvent database 3.7.1.
LCI method and allocation
Type of data set Partly terminated system
LCI Method Principle Attributional
LCI method approaches
  • Allocation - exergetic content
Data sources, treatment and representativeness
Data cut-off and completeness principles Production of equipment and infrastructures is not included, except for the background system
Data source(s) used for this data set
Data collection period 2012-2015
Completeness
Completeness of product model No statement
Validation
Type of review Data quality indicators Review details
Independent internal review
  • Overall quality: Not applicable
  • Methodological appropriateness and consistency: Not applicable
  • Precision: Not applicable
  • Completeness: Good
  • Geographical representativeness: Very good
  • Time representativeness: Very good
  • Technological representativeness: Good
The review was performed in compliance with Arcadia Metodology: “Metodologia per gli studi di filiera della Banca Dati italiana LCA” and ISO 14040-44 norms. The dataset has been assessed limited to the foreground data collected during the supply chain studies. Each dataset has been evaluated based on the following 4 criteria: 1. Technological Representativeness; 2. Time Representativeness; 3. Geographical Representativeness; 4. Reliability (A) In this context the Reliability is good.
Subsequent review comments
The study was judged by the reviewer as compliant with both ISO 14040-44 and Arcadia methodology.
Reviewer name and institution
Compliance Declarations
Compliance
Compliance system name
Approval of overall compliance
Fully compliant
Nomenclature compliance
Not defined
Methodological compliance
Fully compliant
Review compliance
Fully compliant
Documentation compliance
Not defined
Quality compliance
Not defined
Compliance
Compliance system name
Approval of overall compliance
Fully compliant
Nomenclature compliance
Not defined
Methodological compliance
Fully compliant
Review compliance
Not defined
Documentation compliance
Fully compliant
Quality compliance
Not defined
Commissioner and goal
Commissioner of data set
Project Arcadia – PON Governance e Capacità istituzionale 2014-2020
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2023-09-18T15:20:45.137+02:00
Data set format(s)
Publication and ownership
UUID a6314eec-6571-40e4-925f-72c9e0aa2ceb
Date of last revision 2021-10-01T17:42:20.428Z
Data set version 01.00.000
Permanent data set URI ../processes/a6314eec-6571-40e4-925f-72c9e0aa2ceb.xml
Owner of data set
Copyright Yes
License type Free of charge for all users and uses
Access and use restrictions Type of license: Open Database Licence (ODbL)
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