Periodic Reporting for period 1 - PlaMES (Integrated Planning of Multi-Energy Systems)
Reporting period: 2019-11-01 to 2021-04-30
Objective: The general objective of the project is the development of an integrated planning framework for multi-energy systems on a European scale. The objective of the planning framework considers the European climate targets while optimizing the expansion of energy infrastructure and energy generation capacities to find solutions for an efficient and reliable interdependent energy system in 2050. The models being developed within the project will therefore consider the coupling of different energy sectors (electricity, heat, mobility and gas) and calculate cost-optimal energy infrastructure for future energy scenarios. To handle the mathematical complexity of the integrated and holistic energy system planning approach, new solution methods are required. This will be achieved by solving both mathematical and computational challenges in the field of energy system modelling. Thereby, novel mathematical formulations of energy system modelling problems are proposed. The project will provide a new energy system planning tool for different stakeholders, which intends to be used as a decision support to enable a beneficial development of the European energy system. To ensure the applicability of the developed tool, a comprehensive advisory board reviews the intermediate and final results of the project.
Case studies: To show the adequacy and relevance of the overall modelling framework, two case studies will be performed. One case study will focus on Germany with neighbouring countries and investigates the central level of the European energy system. The second case study focuses on a Turkish distribution grid and hence exemplarily analyses the decentral perspective of European energy systems. In both case studies, as much data as possible will be derived from a bottom-up modelling approach.
The first case study, aims at the planning of the Central Energy System, considering the electricity, gas, heat and mobility sector. In an integrated approach, the expansion of generation capacity is combined with the expansion of the electrical transmission grid. The main target of this investigation is the identification of a cost efficient energy system, which is compliant with global as well as European climate goals. The case study will provide the allocation and installed capacity of planned generation capacities as well as required expansion and reinforcement measures of the electrical transmission grid.
The second case study focuses on the allocation of renewable energy sources and further assets within a distribution grid. Based on these allocations, an operational planning of the distribution grid is performed. To minimize resulting system costs on the decentral level, various market coordination mechanisms are taken into account and analyzed. The required expansion and reinforcement measures for ensuring system security are identified by a distribution network expansion planning.
The functional description of the PlaMES tool including the definition of the scenario framework and the two case studies as well as the mathematical formulation and potential decomposition approaches are outlined by three deliverables in Work Package 2 (D2.1 D2.2 D2.3). The conceptual development of the PlaMES tool forms the basis for the work and the tool development within Work Package 3. The work flow between the tools have been outlined in D3.1. Within the reporting period all suggested tools have been developed to a stage at which we can confidently say that we are able to deliver full-scale tools until the end of the project (as demonstrated in the upcoming D3.2). As two of the central planning tools will foreseeably have to cope with extraordinary problem sizes, Work Package 4 the developed decomposition approaches for the two models are implemented as suggested in D2.3. The final decomposition approaches are showcased in the upcoming D4.1. Currently, measuring the actual performance of the custom solvers is challenging, as large test cases are not available, yet. Nevertheless, the interfaces between model and solver have already been implemented and the structure of the central test case has been outlined in D2.4 (Work Package 2) and is currently being built up. The final tool, comprising models, solvers and interfaces with potential customers, is being outlined in the upcoming D5.1. It showcases how the involved entities exchange data via an online database and how data can be exploited further.