JRC Data Catalogue
DATASETCompleted

LF332 - Energy content of dedicated energy crops (LUISA Platform REF2014)

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The indicator is defined as the amount of energy content of the biomass harvested from dedicated energy crops over the total surface area. The unit of measurement is Giga Joules per hectare. The unit of measurement is Giga Joules per hectare.

Contributors

How to cite

Baranzelli, Claudia; Perpina Castillo, Carolina; Lavalle, Carlo (2026): LF332 - Energy content of dedicated energy crops (LUISA Platform REF2014). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.4M7A99G PID: http://data.europa.eu/89h/jrc-luisa-lf332-energy-content-of-dedicated-energy-crops-ref-2014

Keywords

CAPRIconversion factorenergy contentEnergy cropsEU Reference Scenario 2014LUISANUTSNUTS0NUTS2Pressurerenewable Energy directiveTESI

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The compressed zip file contains the projected energy content maps from dedicated energy crops for the Danube region, from 2010 to 2050. The data is stored in .csv format.

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The compressed zip file contains the projected energy content maps from dedicated energy crops from 2010 to 2050. The data is stored in .csv format.

Other resources

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • LUISA webpage (European Commission - JRC Science Hub)

Publications

Publication
Perpiña Castillo C, Lavalle C, Baranzelli C, Mubareka S. Modelling the spatial allocation of 2nd-generation feedstock (lignocellulosic crops) in Europe. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 29 (10); 2015. p. 1807-1825. JRC91701
TAYLOR & FRANCIS LTD, ABINGDON, ENGLAND
  • The main topic of this paper is modelling the spatial allocation of 2nd generation feedstock

    (lignocellulosic crops) under a reference policy scenario in Europe. The Land Use Modelling

    Platform (LUISA) has been used in order to simulate the land use changes from 2010 to 2050. The

    configuration of LUISA is detailed, highlighting the biophysical suitability aspects of two main

    energy crops groups: herbaceous and woody lignocellulosic crops. A suitability map for each

    energy crop was generated using multicriteria analysis (MCA). Biophysical factors (climate, soil

    properties and topographical aspects), natural and artificial constraints and location-specific

    land categories were defined as relevant components within the platform. A sensitivity analysis

    of the set of selected factors was then applied. The sensitive analysis provide insight into the

    most influent factors on the model, highlighting temperature, precipitation, length growing period

    and frost free days. The results of modelling 2nd generation feedstock in LUMP clearly reflected

    the significant renewable energy contribution from energy crops in EU-28, which was estimated

    in the range between 12.25 PJ/year (in 2020) and 33.18 PJ/year (in 2050). The aggregated

    results of 2nd generation feedstock per NUTS3 level were mapped to show the energy crop land

    allocation trend and to identify the regions where its demand is significantly high such as

    Germany, the United Kingdom and Poland.

    NOTE: The former acronym 'LUMP' is used in the paper instead of 'LUISA', due to the timing of submission and revision of the paper.

Publication
Lopes Barbosa A, Perpiña Castillo C, Baranzelli C, Aurambout J, Batista E Silva F, Jacobs C, Vallecillo Rodriguez S, Vandecasteele I, Kompil M, Zulian G, Lavalle C. European landscape changes between 2010 and 2050 under the EU Reference Scenario: EU Reference Scenario 2013 LUISA platform – Updated Configuration 2014. EUR 27586. Luxembourg (Luxembourg): Publications Office of the European Union; 2015. JRC98696
Publications Office of the European Union, Luxembourg, Luxembourg
  • The ‘Land-Use-based Integrated Sustainability Assessment’ modelling platform (LUISA) is primarily used for the ex-ante evaluation of EC policies that have a direct or indirect territorial impact. It is based on the concept of ‘land function’ for cross-sector integration and for the representation of complex system dynamics. Beyond a traditional land use model, LUISA adopts a new approach towards activity-based modelling based upon the endogenous dynamic allocation of population, services and activities.

    LUISA has been applied to address the competition for land arising from the energy, transport and climate dimensions of EU policies and configured according to the EU Energy Reference scenario 2013 (updated configuration 2014) to produce high-resolution land use/cover projections up to 2050 and a related series of thematic indicators.

    This report describes the stocks and the main land cover/use flows (LCF) taking place in Europe in the period 2010-2050 and the processes that cause those flows, thus providing insight on how the European landscape might change if the future happens according to a reference scenario consistent with settings (economic and demographic in particular) and policies in place in 2013 (hence including in particular the 2020 renewable energy targets).

    Main findings:

    • The extent of the land for housing and leisure (urban) and industrial/commercial and services (ICS) increases, while the area of agriculture, forest and natural land decreases;

    • Urban and industrial land are expected to represent the highest share of net formation as % of the initial year (2010);

    • Energy crops appear in the model as of 2020 and are expected to reach 135,479 km2 across Europe in 2050;

    • Energy crops become the second most important land transformation in Europe (17%); approximately 90 % of the land consumed for energy purposes comes from land for food and feed, followed by forest and natural land;

    • While a large proportion of land dedicated to food and feed crops is expected to be converted into dedicated energy crops, the net land losses are very small as a results of the conversion from forest land into food and feed production;

    • New forest and natural land compensate in some way for quantity of losses or consumption by other uses; however the high value of the turnover indicator, reveal that those land-uses are unstable and vulnerable to the fast changes driven by economic development and climate changes, thus compromising the biodiversity and habitat conservation status;

    • The conversion between farming types represent 35% over the total land changes between 2010 and 2050;

    The results show the loss of natural and agricultural land because of ever-ongoing urbanisation and industrialization processes. The loss of natural and agricultural land for food production is even larger because of the advent of energy crops production incited by shifts in the European Energy supply system.

Temporal coverage

From date To date
2010-01-01 2050-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
JRC-KCTP (at) ec.europa.eu
Update frequency
annual

The event occurs once a year.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Energy

dataset theme covering the domain of energy, characterised as the quantitative property necessary to perform work on or heat objects, and vital element of living organisms and the operation of human civilisation

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
European Union
Issued date
2015-11-06
Created date
14 Dec 2018 10:43
Modified date
17 Jan 2024 13:29
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Dataset identifier
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