EN 15804

CEN/TR 15941,

ILCD

          III.a.i) Foreground system: (…) technology-specific primary data. (…) Secondary data of the actual suppliers/downstream actors should be preferred to other (third party) secondary data.

          III.a.i) Background system: average technology as market consumption mix data should be used (…)

          III.c) Using not fully representative data: (…) use justifiable only if this is not relevantly changing the overall LCIA results compared to using fully representative data”

Provisions 6.8.3 Geographical representativeness

“I) SHALL – Good geographical representativeness (…)

II) SHALL – Different technologies for attributional and consequential modelling

          II.a) Attributional modelling

          II.a.i) Foreground system: (…) site or producer/provider specific data  (…) supplier-specific data for the products that connect the foreground with the background system. Generic data of geographical mixes can be used also in parts of the foreground system if for the given case justified as being more accurate, precise, and complete than available specific data (especially for processes operated at suppliers).

          II.a.ii) Background system: average market consumption mix data (…)”

Provisions 6.8.4 Time-related representativeness

“I) SHALL – Good geographical representativeness (…)

II) SHALL – Specific seasonal or diurnal situation?

III) SHOULD – Time-related representativeness of future processes: (…) fully time-representative future data should be used (…). If this is not possible:

          III.a) Best Available Technology (BAT) and recent data (…)”

Provisions 6.9 Types, quality and sources of required data and information

“I) MAY – Overview of the principles types of data and information

II) SHOULD – General requirements on data and data set quality

III) SHOULD – Potential sources for the required data, data sets and information

          III.a) Well documented data

          III.b) Pre-verified data”

Provisions for the foreground system of an analysed system

Provisions 7.3 Planning data collection

“I) SHALL – Identify newly required, study-specific unit processes

II) SHALL – Average and generic data

III) MAY – Identify data and information sources

IV) MAY – SI units

V) SHOULD – Multi-annual or generic data to be preferred?

VI) MAY – Relevance-steered data collection:

(…) Building on existing experience that sufficiently reflects the analysed process or system and that is of high quality is an essential guide. (…) PCR can represent this experience (…).”

Provisions 7.4.2.4 Types of input and output flows to collect

“I) SHALL – Types of input and output flows

          I.a) Input of “consumed” products

          I.b) Input of wastes

          I.c) Input of resources from nature

          I.b) Emissions to air, water, soil

          I.b) Other input and output side interventions with the ecosphere

          I.b) Output of wastes

          I.b) Output of valuable goods and services provided by the  process, as product flows”

Provisions 7.4.2.6 Reference amount of the reference flow

Provisions 7.4.2.7 Representativeness regarding operation conditions

“I) SHALL – Full operational cycle of the process, if required

II) SHOULD – One full year as data basis:

for measured data of operated process

III) SHOULD – For parameterised processes”

Provisions 7.4.2.11 Interim quality control

Provisions 7.4.2.11 Emission of particles to air

“I) SHALL – Inventory only poorly water soluble compounds as particles

II) SHOULD –  Differentiate particles size classes

III) SHALL – Inventory particles additionally as the substances they are composed of”

Provisions 7.6 Selecting secondary LCI data sets

“I) SHALL – Use consistent secondary data sets

II) SHOULD – Quality-oriented selection of secondary data sets

III) MAY – Prefer pre-verified data sets

IV) MAY – Prefer well-documented data sets”

Provisions 7.8 Modelling the system

“(…)

II) SHALL – Complete system model (…)

V) SHALL – Use consistent data to fill gaps

(…)”

ISO 14044