Browsing by Author "Nienhaus, Kristina"
Now showing 1 - 7 of 7
Results Per Page
Sort Options
- New actor types in electricity market simulation models: Deliverable D4.4Publication . Machado, Ana Rita; Couto, António; Schimeczek, Christoph; Qiu, Dawei; José, Débora Regina S.; Papadaskalopoulos, Dimitrios; Strbac, Goran; Algarvio, Hugo; Sanchez, Ingrid; Kochems, Johannes; Nienhaus, Kristina; Vries, Laurens de; Chrysanthopoulos, Nikolaos; Pinto, Tiago; Estanqueiro, Ana; Cvetkovic, MilosABSTRACT: The modelling of agents in the simulation models and tools is of primary importance if the quality and the validity of the simulation outcomes are at stake. This is the first version of the report that deals with the representation of electricity market actors’ in the agent based models (ABMs) used in TradeRES project. With the AMIRIS, the EMLab-Generation (EMLab), the MASCEM and the RESTrade models being in the centre of the analysis, the subject matter of this report has been the identification of the actors’ characteristics that are already covered by the initial (with respect to the project) version of the models and the presentation of the foreseen modelling enhancements. For serving these goals, agent attributes and representation methods, as found in the literature of agent-driven models, are considered initially. The detailed review of such aspects offers the necessary background and supports the formation of a context that facilitates the mapping of actors’ characteristics to agent modelling approaches. Emphasis is given in several approaches and technics found in the literature for the development of a broader environment, on which part of the later analysis is deployed. Although the ABMs that are used in the project constitute an important part of the literature, they have not been included in the review since they are the subject of another section.
- New forecast tools to enhance the value of VRE on the electricity market: Deliverable D4.9Publication . Couto, António; Schimeczek, Christoph; Algarvio, Hugo; Preto, Isabel; Kochems, Johannes; Santos, Tiago; Nienhaus, Kristina; Estanqueiro, AnaABSTRACT: The present deliverable was developed as part of the research activities of the TradeRES project Task 4.4 - Enhancing the value of VRE on the electricity markets with advanced forecasting and ramping tools. This report presents the first version of deliverable 4.9, which consists on the description and implementation of the forecasting techniques aiming to identify and explore the time synergies of meteorological effects and electricity market designs in order to maximize the value of variable renewable energy systems and minimize market imbalances. An overview of key aspects that characterize a power forecast system is presented in this deliverable through a literature review. This overview addresses the: i) forecast time horizon; ii) type of approach (physical, statistical or hybrid); iii) data pre-processing procedures; iv) type of forecast output; and v) the most common metrics used to evaluate the performance of the forecast systems.
- New market designs in electricity market simulation models: Deliverable D4.5Publication . Couto, António; Papadaskalopoulos, Dimitrios; Strbac, Goran; Algarvio, Hugo; Sanchez, Ingrid; Kochems, Johannes; Nienhaus, Kristina; Vries, Laurens de; Cvetkovic, Milos; Chrysanthopoulos, Nikolaos; Johanndeiter, Silke; Schimeczek, Christoph; Estanqueiro, Ana; Lopes, FernandoABSTRACT: To integrate a high share of renewables in a future system, several modifications to the electricity market rules may need to be implemented. The most relevant market design concepts were identified from the literature and reported in work package 3. There are several uncertainties, for instance with respect to the questions of whether a future electricity market will provide enough incentives for investment in variable renewable energy sources (vRES) – mainly solar and wind energy – and in flexibility options, especially for long periods with insufficient vRES generation. In this deliverable, the modelling requirements to analyse the new market rules are determined. The modelling efforts will reflect the main policy choices and are based on the strengths of the modelling capabilities from the consortium. The model enhancements to represent the temporal, spatial and sectoral flexibility will be approached in deliverables 4.1 to 4.3. For this reason, these topics will be described only briefly in this deliverable.
- Performance assessment of current and new market designs and trading mechanisms for national and regional markets : Deliverable D5.3Publication . Estanqueiro, Ana; Couto, António; Sperber, Evelyn; Santos, Gabriel; Strbac, Goran; Algarvio, Hugo; Jimenez, Ingrid Sanchez; Kochems, Johannes; Sijm, Jos; Nienhaus, Kristina; Vries, Laurens de; Wang, Ni; Chrysanthopoulos, Nikolaos; Gregorio, Noelia Martin; Carvalho, Rui; Faia, Ricardo; Vale, Zita
- Performance indicators: quantification of market performance: Deliverable D5.1Publication . Couto, António; Schimeczek, Christoph; Morales-España, Germán; Strbac, Goran; Algarvio, Hugo; Sanchez, Ingrid; Kochems, Johannes; Nienhaus, Kristina; Vries, Laurens de; Helistö, Niina; Chrysanthopoulos, Nikolaos; Hernandez-Serna, Ricardo; Johanndeiter, Silke; Pinto, Tiago; Estanqueiro, AnaABSTRACT: The present deliverable was developed as part of the research activities of the TradeRES project Task 5.1 – Performance indicators: quantification of market performance. This report presents the first version of the deliverable 5.1, which provides a list of the (key) market performance indicators (MPIs) that will be used to assess the impact of elec tricity market designs developed and tested in the TradeRES project. In specific, these indicators will be used in the case studies to assess and quantify the performance of the market designs that were developed in WP3. The foreseen recommendations regarding the evolution of the market design considering a ~100% renewable power system and the dissemination activities will also focus on the performance obtained for the different MPIs. As a first step to defining the TradeRES’ MPIs, internal information was analysed, namely, the objectives and the research questions addressed by the project. To complement this information, several ongoing and completed European projects have been reviewed. For the definition of MPIs, a template was created. The template comprises basic information such as the name and acronym of the MPI, its calculation methodology and optimal value. A total of 48 MPIs were identified, and all were classified into four different group domains identified: technical, economic, environmental and social. The goal of such classification is to facilitate filtering and finding the MPIs of particular interest for the reader.
- Recommendations for market trading in a ~100% power system : Deliverable D6.5Publication . Algarvio, Hugo; Couto, António; Helistö, Niina; Silke, Johanndeiter; Kiviluoma, Juha; Kochems, Johannes; Nienhaus, Kristina; Jimenez, Ingrid Sanchez; Santos, Gabriel; Schimeczek, Christoph; Sijm, Jos; Syse, Helleik; Wolff, Russe
- Temporal flexibility options in electricity market simulation models: Deliverable D4.1Publication . Couto, António; Schimeczek, Christoph; José, Débora Regina S.; Algarvio, Hugo; Kochems, Johannes; Nienhaus, Kristina; Pinto, Tiago; Helistö, Niina; Johanndeiter, Silke; Estanqueiro, AnaABSTRACT: This report covers the implementation of temporal flexibility options in TradeRES’ agent-based electricity market simulations models. Within this project, the term “temporal flexibility option” was defined as an asset or measure supporting the power system to balance electric demand and supply and compensate for their stochastic fluctuations stemming from, e.g., weather or consumer behaviour by adjusting demand and/or supply as a function over time or by reducing their forecast uncertainty. Other reports from the same work package of TradeRES are published almost simultaneously, each focussing on another aspect of market model enhancements. These accompanying reports address sectoral flexibility, spatial flexibility, actor types, and modelling requirements for market designs. Flexibility options covered in this report were selected with regard to a predominantly temporal characteristic, a contribution to TradeRES’ assessment of market designs, and the feasibility to be implemented in at least one of the agent based models (ABM) during the project’s lifetime. The technical aspects of “Load shedding”, “Load shifting”, “Electricity storage”, and “Real-time pricing” were selected for implementation. In addition, the following new electricity market products were selected for implementation: “Rolling market clearing”, “Trading with shorter time units”, and “Variable market closure lead times”.