EU–Africa Strategic Corridors and critical raw materials: two-way approach to regional development and security of supply

The paper has two interconnected bodies. The first one deals with mineral resource indicators and their role in drawing 11 EU-Africa Strategic Corridors, in a broader context of Africa-EU partnership. The second strives to understand how such Strategic Corridors are also mineral corridors, i.e. development promotors that use mineral resources as a catalyser to create and strengthen value chains and territorial organisation, boosting economic and societal development at regional scale. The results can help understand how Strategic Corridors can improve access to the present and future mines, mitigating the risk of supply disruptions of critical raw materials for the EU

An analysis of water consumption in Europe’s energy production sector: The potential impact of the EU Energy Reference Scenario 2013 (LUISA configuration 2014)

This report presents the outcome of a study carried out in the frame of a wider assessment performed with the LUISA (Land Use-based Integrated Sustainability Assessment) modelling platform, configured in compliance with the “EU Energy, Transport and GHG emissions trends until 2050” (EU Energy Reference Scenario 2013). A new methodology has been implemented to estimate and map water requirements for energy production in Europe. In this study, the category of dedicated energy crops (ENCR) played an important role. These crops are expected to emerge as additional fuel sources within the EU28 by 2020. Water requirements in the remaining energy sectors have also been estimated in order to assess whether the introduction of these ENCR may, in any way, compete with the existing water requirements for energy production. More specifically, the study tackles the following questions: • Where and to what extent will there be potential competition with cooling water required for electricity generation related to the introduction of these crops? • How will these trends evolve over time? • How will the introduction of energy crops affect the overall water consumption trends in Europe? The analysis indicates that high irrigation requirements for ENCR are foreseen in France, Poland, Spain, eastern Germany, and regions of Italy and the UK. Substantial increases in requirements are seen for several regions from 2020 to 2030. ENCR are absent in Finland, Denmark, Greece, Malta, Cyprus and Croatia for the whole simulation period. Water consumption for cooling in electricity production has been quantified for the years 2020 and 2030 for 2 scenarios with a minimum and a maximum value. There is notable variation in overall water consumption, both over time and between the scenarios. There is an increase in cooling water consumption for most regions in both scenarios over the period 2020 to 2030, which is especially high in France for the minimum scenario. The values given by the two scenarios vary greatly due to the wide range in water consumption between the different cooling technologies assumed in the two cases. In some regions there is even up to a factor 10 difference in total consumption for cooling. As for any modelling exercise, the study presents a level of uncertainty due to the number of external models giving input and to the assumptions made. In the case of the cooling water mapping, a possible range of minimum/maximum values has been used to reflect the large variation due to the type of cooling system used by each power plant. For the energy crop water requirements we relied on estimates found in the literature. Nevertheless, the study presents an overall continental scale analysis of the potential impacts of the 2013 Energy Reference scenario, covering many of the involved sectors and provides the framework for further refinements and improvements.JRC.B.3-Territorial Developmen

Impact of shale gas development on water resources: A case study in Northern Poland

Shale gas is currently being explored in Europe as an alternative energy source to conventional oil and gas. There is, however, increasing concern about the potential environmental impacts of shale gas extraction by hydraulic fracturing (fracking). In this study we focussed on the potential impacts on regional water resources within the Baltic Basin in Poland, both in terms of quantity and quality. The future development of the shale play was modelled for the timeperiod 2015-2030 using the LUISA modelling framework. We formulated 2 scenarios which took into account the large range in technology and resource requirements, as well as 2 additional scenarios based on the current legislation and the potential restrictions which could be put in place. According to these scenarios, between 0.03 and 0.86% of the total water withdrawals for all sectors could be attributed to shale gas exploitation within the study area. A screening-level assessment of the potential impact of the chemicals commonly used in fracking was carried out and showed that due to their wide range of physicochemical properties, these chemicals may pose additional pressure on freshwater ecosystems. The legislation put in place also influenced the resulting environmental impacts of shale gas extraction. Especially important are the protection of vulnerable ground and surface water resources and the promotion of more water-efficient technologies.JRC.H.8-Sustainability Assessmen

Accessibility and territorial cohesion in a case of transport infrastructure improvements with changing population distributions

In the last decade or so many studies have looked into the impacts of infrastructure improvements on decreasing territorial disparities. In those studies population levels are usually assumed static, although future population levels likely change in response to changing accessibility levels as well as to other factors. This study uses future population distributions simulated by the LUMP land-use model to assess the impacts of large transport network investments on regional accessibility disparities. The results indicate that contrasting local urbanization patterns only modestly affect average national accessibility levels, but that those patterns have a considerable effect on regional inequality indicators. This underpins the importance of incorporating future population levels when assessing cohesion impacts of infrastructure investments.JRC.H.8-Sustainability Assessmen

Configuration of a reference scenario for the land use modelling platform

The definition of the Reference Scenario, given in the Energy Trends to 2030 publication by DG ENER (2009 update ), assumes full implementation of the Climate and Energy package. The legislation included within the Climate and Energy Package is reflective of the legally binding targets to ensure that the EU meets its climate and energy targets for 2020. This scenario assumes that national targets under the Renewables directive (2009/28/EC) and the GHG Effort-sharing decision (2009/406/EC) are achieved. The Reference scenario is one of three energy trends scenarios, used so far for the Energy 2050 Roadmap Impact assessment . The scenarios are derived with the PRIMES model by a consortium led by the National Technical University of Athens (E3MLab). The PRIMES model is key to the definition of the scenarios because of its energy focus. The Reference Scenario itself is derived within PRIMES and is supported by other specialised models downstream. The purpose of this document is to describe how the LUMP was configured in order to be consistent with the PRIMES and other upstream models within the integrated modelling chain, including the incorporation of the legally binding objectives, directives and guidelines. In order to be coherent with the IA accompanying the Communication on the Energy Roadmap 2050, new policies adopted up until March 2010 were implemented in so far as possible. The implementation has not yet been finalized and this document will be refreshed and re-distributed in its final form once the Reference Scenario has been fully configured.JRC.H.8-Sustainability Assessmen

Land allocation and suitability analysis for the production of food, feed and energy crops in the period 2010 - 2050 EU Reference Scenario 2013 LUISA platform – Updated Configuration 2014

Since land is a finite resource, the competition for land among different uses has become a real problem. Competition for land takes place when different alternative uses (such as agriculture, forestry, energy or/and natural conservation) are competing for the same piece of land. When the competition for land is highly intense in a given territory, a specific land use/cover might cause the displacement of another one, leading to land-use conversion and, potential negative environmental, economic and social impacts. In the long term, this exacerbated competition might increase the pressure on the land and the impacts on the land capacity to support ecosystems and productive systems. Methodologies and tools to assess the potential impacts of bioenergy development in the EU on land uses and functions provide useful insight to shed light on the environmental impacts of energy policies. The territorial assessment carried out by the Land Use-based Sustainability Assessment (LUISA) modelling platform highlights where in Europe the current macro-economic trends and energy policy targets might pose a threat to our land resources in the mid to long term. This might happen, for instance, in regions where the demand for energy crops and the need for residential and industry/commerce/services functions, is forecasted to increase. Essential land uses, such as agriculture for food and feed production, could therefore be transferred to less suitable lands at a regional or local scale. The herein report explores in detail the land uses that are expected to be in direct competition for land (food, feed and energy) as a result of the EU bioenergy targets and considering the suitability characteristics of the land for these uses. The analysis is carried out per main crop group (cereals, maize, root crops, other arable crops and energy crops), as simulated by the LUISA modelling platform. The results presented highlight where and how the displacement of food and feed crops from highly suitable land to lower levels of suitability can be caused by different drivers, among which the expansion of built-up areas and dedicated energy crops. In summary, the majority of cereal, maize and root crops in Europe are allocated on land classified as highly suitable (according to local biophysical conditions, possible fertiliser input and current cropping patterns) between 2020 and 2050. However, the amount of land cultivated with food crops (cereal, maize and root crop production) is shown to experience a substantial decrease in the majority of the MSs, on average higher than 10% across the entire simulation period. On the opposite, energy crop production increases at fast pace, at times doubling the amount of allocated land from the year 2020, when they first appears in the modelling, to 2050. Due to the growth of residential and ICS (industry, commercial and services) sites, land highly suitable for the cultivation of food crops and non-food crops is increasingly being used for artificial uses. In general terms, growing crops on highly suitable land results in a cost reduction associated to inputs use, such as fertilizers, pesticides and water. However, as result of the competition, there is – in several areas in Europa - an increasing shift towards low quality land for growing food and feed crops, with environmental and economic impacts to be carefully evaluated.JRC.H.8-Sustainability Assessmen

Implementation of the CAP Policy Options with the Land Use Modelling Platform - A first indicator-based analysis

This report presents the results of a study aiming to assess the environmental impact of two alternative scenarios for the new Common Agricultural Policy, evaluated by using the features of the Land Use Modelling Platform (LUMP). The first scenario set the baseline conditions in form of the Status Quo; the second was a policy alternative, Integration. The scenarios set the framework for the economic drivers as analysed by CAPRI, which the LUMP integrates to produce detailed and geographically specific projections of changes in land use/cover between 2006 and 2020. The changes in land use/cover were then evaluated for their impact on various environmental sectors by comparing their effect on a set of relevant indicators of environmental conditions. The simulations have shown that the greening options expressed under the Integration policy option produce an overall impact that can be measured with a set of land use/cover based indicators. In general terms, the greening options reduce the pressure on naturally vegetated areas and on environmentally sensitive sites. This modelling approach has proven to be applicable for the evaluation of the new CAP scenario and the implementation of policy options, in the frame of the overall objectives of the reform. Due to the characteristics of the modelling framework, the set of computed indicators shows the differentiation of the impacts at national and regional levels, allowing the assessment of the impacts of the new CAP in the proper geographical context.JRC.H.7-Land management and natural hazard

Regional patterns of energy production and consumption factors in Europe Exploratory Project EREBILAND - European Regional Energy Balance and Innovation Landscape

The Resilient Energy Union with Forward Looking Climate Change Policy is one the ten priorities of the overarching Agenda for Jobs, Growth, Fairness and Democratic Change of the European Commission. The Communication on the Energy Union package and its Annex clearly identify EU-wide targets and policy objectives. The Exploratory Project EREBILAND (European Regional Energy Balance and Innovation Landscape) aims at supporting efficient patterns of regional energy supply and demand in Europe. Integration of spatial scales, from EU-wide to regional or local, and a cross-sector approach, are at the core of the project. The approach is based on territorial disaggregation of information, and the development of optimisation scenarios at regional scale. It is centred around the Land Use-based Integrated Sustainability Assessment (LUISA) modelling platform for the assessment of policies and investments that have spatial impacts, in interaction with the JRC-EU-TIMES model – a bottom-up, technology-rich model representing the EU28+ energy system – and the model RHOMOLO that integrates economic and some social dimensions of regional development. Based on currently operational and up-to-date tools available within the EC, the purpose of the EREBILAND project is to: • provide an overview of the current trends of regional energy production and consumption patterns, and • link these patterns to the structural characteristics of the regions, among which: population density and urbanisation trends, development of different economic sectors, and availability of resources and technological infrastructure. This report presents the outcomes of the EREBILAND Project during its first year. In particular, electricity generation and energy consumed by transport sector are analysed, under the EU Energy Reference Scenario 2013, throughout the period 2015 - 2030. Main results of the analysis dedicated to the electricity generation are: • Electricity generation from biomass increases in the large majority of European regions; a slight decrease can be found only in regions producing electricity already in 2015 above the EU28 average (in Denmark). • Electricity produced from biogas experiences less steep changes then biomass, with almost 50% of NUTS2 decreasing or not changing considerably the amount of electricity produced from this source. • Coal: electricity generated from lignite undergoes a significant reduction in all regions using this fuel already in 2015. Conversely, trends in electricity generated from hard coal are more stable, with some regions experiencing an increase: the average change is higher than 50% (a few regions in Eastern European countries), but steeper increases can be found in Austria, Sweden and the United Kingdom. • The amount of electricity generated from gas generally decreases across Europe from 2015 to 2030, with an average decrease higher than 90%. • Geothermal is the least diffuse source used to generate electricity in Europe and only few regions are represented. • Hydroelectric: the amount of electricity generated from this source is in general forecasted to increase in Europe from 2015 to 2030. Exceptions are a few regions in Bulgaria, Czech Republic, Germany, Spain, Greece, Hungary, Portugal, Romania, Sweden and most NUTS2 in the UK. • Electricity generated from nuclear is forecasted to decrease in the majority of the regions with active nuclear power plants in 2015. • Oil: the majority of the regions generating electricity from this fuel in 2015, experience a decrease in 2030. Notable exceptions are a few regions in Austria, Belgium, Germany, Greece, Hungary, Italy, Poland and Slovenia. • Electricity produced from solar is forecasted to increase in almost three quarters of European regions. The only regions where electricity from solar is forecasted to decrease are located in Greece and Romania. • Wind: electricity generated from wind, both on- and off-shore, is in general forecasted to increase in Europe. The largest increases in electricity generated from on-shore wind (above 5 times the 2015 generation levels) can be found in few regions in Czech Republic, Finland, Lubuskie in Poland, the north-est NUTS2 in Romania, Western Slovakia and Slovenia. Main results of the analysis dedicated to energy consumption of the transport sector are: • In more than two thirds of European regions, the energy supplied to cars (fuel: diesel) decreases from 2015 to 2030, with an average decrease of almost 20%. • The energy supplied to cars (fuels: gas and LPG) is forecasted to decrease throughout all European regions. The decrease is more gradual in few regions in Denmark, Portugal, Greece, Spain and Italy. • Energy supplied to cars (fuel: gasoline) is forecasted to decrease in more than 80% of the European regions, with an average decrease of 27%. • The energy supplied to heavy duty trucks (fuel: diesel) is forecasted to progressively decrease from 2015 to 2030 in 66% of the European regions, with an average decrease of more than 8%. • The energy supplied to light duty trucks (fuel: diesel) is forecasted to steeply decrease throughout European regions. • The energy supplied to light duty trucks (fuel: gasoline) is forecasted to increase in more than 90% of European regions, with an average increase of more than 40% from 2015 to 2030. The highest increases (above 70%) take place in eleven regions in Germany, Walloon Brabant in Belgium, Flevoland in the Netherlands, Lower Austria and Eastern Macedonia and Thrace. • The energy supplied to inter-city buses running on diesel is forecasted to increase from 2015 to 2030 in the large majority of European regions, with an average increase of more than 19%. • The energy supplied to urban buses (fuels: gas, diesel and gasoline) is going to moderately increase from 2015 to 2030 in almost 90% regions throughout EU-28, with an average growth of 15%. • Energy supplied to motorcycles (fuel: gasoline) is forecasted to increase in more than 80% of European NUTS2, with an average growth of 16%. • Energy supplied to cars (fuels: hybrid, electric and hydrogen) is forecasted to increase throughout Europe, in general with sharp increases. • Energy supplied to heavy duty trucks (fuel: gas) and light duty trucks (fuel: LPG) is forecasted to increase in all European regions from 2015 to 2020. In most NUTS2 this trend is kept or even accelerates between 2020 and 2030. The only regions where the trend is reversed (lower energy supplied in 2030 compared to 2020) are located in Poland, Greece, Finland (only Åland) and Croatia (only Jadranska Hrvatska).JRC.H.8-Sustainability Assessmen

Building energy renovation for decarbonisation and Covid-19 recovery: A snapshot at regional level

Our society and economy are changing as our lifestyles shift in a world recovering from Covid-19. While the governments are working to face this challenge, new local and regional instances stand out. A sustainable recovery throughout Europe calls for a reduction of the existing gaps between regions. Energy efficiency qualifies as one of the sectors with a greater potential for the double dividend hypothesis, thus supporting economic recovery and decarbonisation simultaneously. Although recent years have witnessed the introduction of various regulatory mechanisms and incentives for efficiency, the energy saving potential of the European building stock is still very high, especially in the residential sector. To activate it, a thirty-year planning and short-term shock measures are required to unlock the efficiency process. This report provides a snapshot of the European building stock at local level, and identifies the most critical regions, taking into account buildings age, climatic conditions, some structural barriers and key economic indicators. Based on this information, we calculated the energy saving potential of extensive renovation of residential buildings, as well as the associated investment needs and the impact on employment. These indications and datasets can guide decision-makers in the definition of fine-tuned programmes for the refurbishment of existing buildings at European and national level.JRC.C.2-Energy Efficiency and Renewable

An integrated modelling framework for the forest-based bioeconomy

This paper describes the conceptual design of a modelling framework to assess scenarios for the forest-based bioeconomy. The framework consists of a core set of tools: a partial equilibrium model for the forest sector, a forestry dynamics model for forest growth and harvest and a wood resources balance sheet. The framework can be expanded to include an energy model, a land use model, cost-supply curves and a forest ownership decision model. This partially integrated, multi-disciplinary modelling framework is described, with particular emphasis on the structure of the variables to be exchanged between the framework tools. The data exchange is subject to a series of integrity checks to ensure that the model is computing the correct information in the correct format and order of elements.JRC.H.3-Forest Resources and Climat