Close Go back Collapse all sections
Process Data set: [CicloData] 2023 (1)| market for electricity, high voltage | electricity, high voltage | Cutoff, U (en) en

Key Data Set Information
Location CL
Reference year 2020
Name
[CicloData] 2023 (1)| market for electricity, high voltage | electricity, high voltage | Cutoff, U
Classification
Class name : Hierarchy level
  • ILCD: #ECOED / #CICLODATA / Electricidad / 2023 / Electricidad SEN 2023 H, M, L voltage
General comment on data set ecoQuery: https://ecoquery.ecoinvent.org/3.10/cutoff/dataset/3799/documentation This is a market activity. Each market represents the consumption mix of a product in a given geography, connecting suppliers with consumers of the same product in the same geographical area. Markets group the producers and also the imports of the product (if relevant) within the same geographical area. They also account for transport to the consumer and for the losses during that process, when relevant.;This dataset describes the electricity available on the high voltage level in Chile. This is done by showing the transmission of 1kWh electricity at high voltage.;The shares of electricity technologies on this market are valid for the year 2020. The shares have been calculated based on statistics from 2020: IEA World Energy Statistics and Balances. OECD iLibrary, eISSN: 1683-4240, DOI: 10.1787/enestats-data-en. Grid losses are based on data from 2020 (also IEA World Energy Statistics and Balances). This activity starts from 1kWh of electricity fed into the high voltage transmission network. This activity ends with the transport of 1 kWh of high voltage electricity in the transmission network over aerial lines and cables. This dataset includes: - electricity inputs produced in this country and from imports - the transmission network - direct emissions to air (ozone and N2O). - electricity losses during transmission This dataset doesn't include - electricity losses during transformation, as these are included in the dataset for transformation - Zinc emissions from steel masts. Steel masts used for aerial lines are coated in order to prevent corrosion. The commonly used process is hot-dip galvanising using zinc as anticorrosive. In general a duplex process is used applying a zinc and paint coating to further improve the corrosion protection. In addition, the selection of the colour can improve the embedding into the landscape <van Oeteren 1988>. With this additional protection the zinc emissions into soil can be neglected <van Oeteren 1988>. - leakage of insulation oil from cables and electro technical equipment (transformers, switchgear, circuit breakers) because this only happens in case of accidental release - data for electromagnetic fields - SF6 emissions during the transmission, as these are allocated to the market dataset for medium voltage. - SF6 emissions during production and deconstruction of the switchgear, as these are accounted for in the transmission network dataset. K.-A. van Oeteren, 'Feuerverzinkung', expert-Verlag, Ehningen 1988
Copyright Yes
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2023
Time representativeness description The 'Start of Period' and 'End of Period' do not refer to the year for which this market is valid. See general comment for the year for which the shares are based on.
Technological representativeness
Technology description including background system Average technology used to transmit and distribute electricity. Includes underground and overhead lines. Electricity production according to related technology datasets.;Definition of the voltage levels:;- High voltage level above 24 kV (large scale industry);- Medium voltage level between 1 kV and 24 kV (medium to small scale industry, service sector;and public buildings);- Low voltage level below 1 kV (Households)
LCI method and allocation
Type of data set Unit process, black box
LCI Method Principle Other
Data sources, treatment and representativeness
Data treatment and extrapolations principles Ozone- and NO2-emission factors are based on published measurements made in various countries. Assumptions for the amount of transmission network per kWh transported and emissions per kWh are based on Swiss data. Electricity losses data are based on IEA data and on data from Switzerland.
Sampling procedure Literature, statistics
Completeness
Completeness of product model No statement
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2024-07-12T18:43:19.756000-04:00
Data set format(s)
Data entry by
Publication and ownership
UUID 114054fc-e2a7-46c6-b823-69f9d002d5c3
Date of last revision 2024-07-12T18:33:30.680000-04:00
Data set version 00.00.004
Copyright Yes

Inputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.6192 MJ0.6192 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.25200000000000006 MJ0.25200000000000006 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.41040000000000004 MJ0.41040000000000004 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.45 MJ0.45 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.4176 MJ0.4176 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.5796 MJ0.5796 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.0252 MJ0.0252 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.0936 MJ0.0936 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.018000000000000002 MJ0.018000000000000002 MJ
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 0.7236 MJ0.7236 MJ

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow D:Electricity, gas, steam and air conditioning supply / 35:Electricity, gas, steam and air conditioning supply / 351:Electric power generation, transmission and distribution / 3510:Electric power generation, transmission and distribution CL 3.6 MJ3.6 MJ
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 5.0E-6 kg5.0E-6 kg
General comment Literatur value/estimation. The electro-magnetic field near high voltage aerial lines can lead to the ionisation of air molecules and to the formation of nitrous oxide and ozone. This reaction happens in a boundary layer called corona. The formation of pollutants depends on the weather and the surface of the conductor. Therefore, only a few general assumptions can be made. Hill et al. 1984 report a nitrous oxide formation rate between 0.01 and 0.21 g per kWh of electricity transmitted, valid for North American conditions. The geometric mean of 0.05 g/kWh. The emission rates are reduced by a factor of 10 to account for the shorter transmission distances in this country.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 4.15772755242894E-6 kg4.15772755242894E-6 kg
General comment Literatur value/estimation. The electro-magnetic field near high voltage aerial lines can lead to the ionisation of air molecules and to the formation of nitrous oxide and ozone. This reaction happens in a boundary layer called corona. The formation of pollutants depends on the weather and the surface of the conductor. Therefore, only a few general assumptions can be made. Bohlin et al. 1991 and Böhringer et al. 1988 report very low ozone concentrations near the corona, which hardly can be measured. The value here is estimated from Swiss data: - annual ozone emissions: 50-1250 tons (Knoepfel 1995, p. 99). The geometric mean of 250 t/year is used for calculations. - annual amount of electricity transported in Switzerland: 60129 GWh. S. Bohlin, K. Eriksson, G. Flisberg, 'Electrical transmission', World Clean Energy Conf., Geneva, Nov. 1991 A. Böhringer et al., 'Ozonbildung an Hochspannungsfreileitungen', Elektrizitätswirtschaft 87(1988) Nr. 21, S. 1017-1022