Navigating the Roadmap for Clean, Secure and Efficient Energy Innovation
The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 691843 (SET-Nav).
Each case study will be presented and discussed in SET-Nav workshops and it will be followed by reports and issue papers.
Support of strategic decision making in Europe's energy sector, enhancing innovation towards a clean, secure and efficient energy system.
Based on both qualitative and quantitative scenario forecasting, this case study evaluates the global energy system with a particular focus on fossil fuel markets. Results from a global multi-sector energy systems model (in particular, fossil fuel prices) will be used as an exogenous input for other models and allow them include the effect of global dynamics into their results.
The key-question of the case study is: “How does energy efficiency improvement in buildings, heating system choice, flexibility options (demand response) and on-site RES affect market integration of RES and CHP?”. The analysis starts with the development of scenarios for energy demand in buildings and related heating system choice. The model Invert/EE-Lab is used to derive the energy demand of the European building stock on an annual basis. The energy system and supply models (Enertile and EMPIRE) optimize the realization of demand flexibility options. Moreover, district heating expansion results from a bottom-up model serve as an input to the electricity models regarding the potential heat supply from CHPs.
It aims to analyse the transition towards a low-carbon industrial sector focussing on process heat demand. Based on the analysis, policy recommendations will be provided.
It aims to find out what will be Europe’s CCS infrastructure needs, how does the availability of CCS affect the optimal CCS infrastructure and what is the impact of CCS on total system costs.
The purpose of this case study is the analysis of policy measures and strategies to accelerate the transition from a fossil fuel based towards an energy efficient and low-carbon transport sector in Europe. A set of transport and energy policy packages will be defined to identify cost-efficient pathways. Recommendations will be provided via policy briefs.
In this case optimal ways will be studied, to integrate and use electricity and natural gas supply flexibility options to deal with high levels of predictable short-term load variability and unpredictable short-term variability in supply and demand.
Distributed generation, power storage and flexible demand will transform the power flows across the power system. These changes will require optimising the use of the existing transmission assets and the addition of new investments for both the decentralised and the centralised case. Public acceptance will be necessary to undertake the transmission expansion projects needed in the European context.
The aim of this case study is to conduct a comprehensive technology assessment of nuclear power with a focus on cost estimates and developments. The main methodology to increase knowledge stock on nuclear power will be desktop research. The information collected will be consolidated and analysed according to the costs by reactor design type, the system integration and the political framework. The findings will then be discussed and reflected with experts within the consortium (GE) and outside the consortium (IAEA) in order to evaluate the future prospects of nuclear power generation in the EU.
The case study aims to create a priority list of PCI projects which should be constructed in order to enhance competition and create a single European gas market. The analysis will also make European-wide and country-specific recommendations for optimal investment into gas networks. Moreover, the effect of gas producer's market power and vulnerability of the European gas markets will be assessed.
The outcome of this case study will be EU wide and country specific insights in developments in economics sectors, including results such as GDP, employment, consumer surplus and government income.
The aim of this case study is to investigate three important drivers that impact the “optimal share” of RES-e in the EU. The three dimensions are as follows:
• Integration of the power sector with other sectors. This can be assumed to have a positive impact on the market value, i.e. benefits valuation, of renewable electricity generation and thus leads to higher optimal shares.
• Parameter changes in learning rates and the innovation system of renewable energy technologies.
• Sensitivities in the valuation of the external benefit of renewable generation: How does the optimal share depend on the external benefit of renewable generation?