| Dieser Datensatz ist Bestandteil der ÖKOBAUDAT. |
Process information
| Key Data Set Information | |
| Location | DE |
| Geographical representativeness description | The data set represents the country specific situation in Germany, focusing on the main technologies, the region specific characteristics and / or import statistics. |
| Reference year | 2018 |
| Name |
Base name
; Quantitative product or process properties
Usage - elevator average usage (200.000 rides/a); 200000 rides/a
|
| Use advice for data set | The data set represents a cradle to gate inventory. It can be used to characterise the supply chain situation of the respective commodity in a representative manner. Combination with individual unit processes using this commodity enables the generation of user-specific (product) LCAs. |
| Technical purpose of product or process | This product can be used in construction. |
| Classification number | 8.6.05 |
| Classification |
Class name
:
Hierarchy level
|
| General comment on data set | This data set has been modeled according to the European Standard EN 15804 for Sustainable Building. Results are depicted in modules that allow the structured expression of results over the entire life cycle. |
| Copyright | Yes |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) | |
| Time representativeness | |
| Data set valid until | 2022 |
| Time representativeness description | Annual average |
| Technological representativeness | |
| Technology description including background system | The power consumption of an elevator can be divided into stand-by consumption and the actual consumption for the ride. The average power consumption per ride is 0.013 Wh. Stand-by consumption is approx. 600 kWh/a, if cabin lighting and guard locking are not permanently active. This was assumed for the modelled data set, as it represents the state of the art of new systems. On average it is assumed that an elevator in an office building with a carrying capacity of 1000 kg performs approx. 200.000 rides. For 220 working days this amounts to 900 rides per day. Background system: Electricity: Electricity is modelled according to the individual country-specific situations. The country-specific modelling is achieved on multiple levels. Firstly, individual energy carrier specific power plants and plants for renewable energy sources are modelled according to the current national electricity grid mix. Modelling the electricity consumption mix includes transmission / distribution losses and the own use by energy producers (own consumption of power plants and "other" own consumption e.g. due to pumped storage hydro power etc.), as well as imported electricity. Secondly, the national emission and efficiency standards of the power plants are modelled as well as the share of electricity plants and combined heat and power plants (CHP). Thirdly, the country-specific energy carrier supply (share of imports and / or domestic supply) including the country-specific energy carrier properties (e.g. element and energy content) are accounted for. Fourthly, the exploration, mining/production, processing and transport processes of the energy carrier supply chains are modelled according to the specific situation of each electricity producing country. The different production and processing techniques (emissions and efficiencies) in the different energy producing countries are considered, e.g. different crude oil production technologies or different flaring rates at the oil platforms. |
| Flow diagram(s) or picture(s) | |
Modelling and validation
Administrative information
Environmental indicators