Browsing by Issue Date, starting with "2024"
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- Tutorial and webinar edited material (D6.2.2) : Deliverable D6.3Publication . Schimeczek, Christoph; Santos, Gabriel; Algarvio, Hugo; Jimenez, Ingrid Sanchez; Putkonen, Nelli
- Course: Benefits, Installation, Maintenance, and Deconstruction of Green Roofs - Module 2: Installation of green roofsPublication . Duarte, Ana Paula; Loureiro, David; Gonçalves, Ana MariaABSTRACT: The NaturBuild Project is a initiative designed to address the evolving needs of the construction sector by integrating Nature-Based Solutions (NBS) into both urban and building environments. In line with the European Commission’s definition, NBS are “solutions inspired and supported by nature, which are cost-effective, provide environmental, social, and economic benefits, and help build resilience.” By incorporating natural processes and ecosystems into the built environment, NBS offer a sustainable approach to urban development, focusing on green infrastructure, such as green roofs, that can enhance energy efficiency, reduce CO2 emissions, and improve urban resilience.
- Dissemination Activity Report - 5th Edition: Deliverable D7.4Publication . Sousa, Filipe; Simões, TeresaABSTRACT: This report presents the dissemination activities conducted in the scope of TradeRES project during the last 10 months, and the main highlights of the overall project. The content of this report follows the dissemination and exploitation plan (D7.2) and corresponds to an update of the information reported in the previous editions of the progress dissemination report (D7.4 – Dissemination Activity Report). This report describes the key target groups and the key performance indicators (KPI) achieved at the end of the project - general promotion of the project, social media, traditional media promotion and communication of regular news and announcements, publication in scientific journals, special book chapters and participation in workshops and international conferences, organization of scientific events, conferences, workshops, thesis, and dissemination material. Finally, an analysis of the most relevant activities and KPIs is presented in the conclusions. During the development of the project, there was the need to revise the accounting methodology, at the beginning of the 4th year, and the new metrics were applied to the whole duration of the activities. The extension period that was granted to the project, proved to be very valuable, as it allowed for a more comprehensive dissemination of the outcomes, provided additional time to achieve efficient and accurate results, and enabled the preparation of dissemination materials in a more robust manner. The last year of the project was very productive enable to address some KPIs that were missing and further enhance others. In addition, although the great majority of the KPIs were already achieved at the beginning of the last reporting period, the extension of the project, enabled to overcome the foreseen outcome. For example, it was possible to publish 40 conference papers and 40 journal papers, in both cases 100% above the targets outlined in the plan.
- Performance assessment of current and new market designs and trading mechanisms for Local Energy Communities (Case Study A) : Deliverable D5.2Publication . Algarvio, Hugo; Chrysanthopoulos, Nikolaos; Couto, António; Santos, Gabriel; Strbac, Goran; Syse, Helleik; Qiu, Dawei
- Open-access tool for linking electricity market models: 2nd EditionPublication . Algarvio, Hugo; Helistö, Niina; Kiviluoma, Juha; Jimenez, Ingrid Sanchez; Santos, Gabriel; Schimeczek, Christoph; Wang, Ni
- Dissemination Activity Report: 4th EditionPublication . Simões, Teresa; Sousa, FilipeABSTRACT: This report presents the dissemination activities conducted in the scope of TradeRES project during the fourth year. The content of this report follows the initial dissemination and exploitation plan (D7.2) and corresponds to an update of the information reported in the previous editions of the progress dissemination report (D7.4 – Dissemination Activity Report). This report describes the highlights of the dissemination activities that occurred in the reporting period, and the stakeholders and target groups, fulfilment, and progress indicators. It also presents, detailed Key Performance Indicators (KPIs) lists including general promotion of the project, social media, traditional media promotion and communication of regular news and announcements, publication in scientific journals, special book chapters and participation in workshops and international conferences, organization of scientific events, conferences, workshops, thesis, and dissemination material. Finally, conclusions on the achievement of the defined KPIs and identification of points to be improved during the 4th year of the project are presented. Following the discussions held during the WP7 monthly meetings during this period, there was the need to revise the accounting methodology for KPIs, to provide a more accurate representation of the metrics. It was agreed by the participant partners to implement these changes from this deliverable forward. For instance, the previous approach considered only “one” entry for conference participation, regardless of whether it involved one or multiple partners, which didn’t reflect the number of effective participations. This adjustment ensures a more real approach on the nature of each participation, considering the involvement of multiple partners, associated costs, and exposure in each event. The approved extension of the project until the end of 2024, provides a valuable opportunity to deepen research and elevate the dissemination metrics (KPIs). This report will be updated at the end of the project, with final status, and overview of the entire project. The additional time allow to share the project’s outcomes more comprehensively, aiming to overcome the gaps and contribute even further to the dissemination of knowledge of the project field. It is important to note that some KPIs are challenging to quantify accurately because of their subjective nature. Therefore, in this context, they are treated as estimates; for instance, determining the exact number of people reached during a specific event may fall into this category.
- 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
- 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
- Market design for a reliable ~100% renewable electricity system : Deliverable D3.5Publication . Algarvio, Hugo; Vries, Laurens de; Johanndeiter, Silke; Santos, Gabriel; Ribó-Pérez, David; Sijm, Jos
- New forecast tools to enhance the value of VRE on the electricity markets : 2nd EditionPublication . Estanqueiro, Ana; Couto, António; Schimeczek, Christoph; Lopes, Duarte; Algarvio, Hugo; Preto, Isabel; Kochems, Johannes; Santos, Tiago; Faria, Ricardo; Sperber, EvelynABSTRACT: 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 edition 2. This report presents the second edition of deliverable 4.9, which consists of the description and implementation of the forecasting models aiming to identify and explore the time synergies of meteorological effects and electricity market designs explored in the project 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. While in the TradeRES project work package 3 the conception of new market designs and products are presented from a theoretical point of view, in this deliverable, the power forecast tools capable to address the new designs and products are presented and discussed. Complementarily to the first edition of this deliverable, the link between dayahead market time frames and the performance of the different power forecast approaches is analysed. This second edition of D4.9 also focuses on the short-term forecasts (below six hours) for new market designs. As a first step, a non-disruptive change in the day-ahead market is proposed by simply postponing the gate closure hour according to the meteorological data availability from the global numerical weather prediction (NWP) models while the 24 hours forecast periods are still used. In the second step, various short-term forecast approaches designed for time horizons below six hours are developed and implemented. These approaches are specifically tailored to attend the requirements of new electricity market designs currently under development in TradeRES. Another aspect regarding the meteorological time synergy and electricity markets analysed in this deliverable is the identification of extreme events. A wind power ramping forecast approach implemented in the TradeRES forecast tools is described. This approach is designed to complement the existing deterministic power forecasts and it can be used to increase the transmission system operators’ awareness level and helping them to better scale the level of reserve required. Market players can also take advantage of this information to strategically define the bids in the different market environments. Using different wind and solar power parks in Portugal, as well as the national aggregated Portuguese and German wind and solar generation, results regarding the potential certainty gain effect from changing the day-ahead market gate closure are presented and analysed in this deliverable. Results showed that the use of the TradeRES forecast methodology guaranteed better performance compared to an operational forecast from a forecast provider. Additionally, the results emphasized the benefits of including non-traditional variables such as air pressure and temperature at different heights, atmospheric boundary layer, and geopotential height for various pressure levels. The simulations also highlighted that incorporating both NWP features based on historical power series led to improvement when compared with models based solely on power series or NWP. Therefore, it is recommended that power forecast systems can have access to recent observed values to improve their accuracy. Despite the improvements achieved in the forecasts for the day-ahead market, high power forecast errors are still observed (a normalised root mean square error of nearly 30% for wind and solar in Portugal and nearly 20% for Spain). Market designs with shorter forecast time horizons can significantly reduce power forecast errors. Results also emphasize the importance of evaluating the most suitable forecast approach based on the forecast time horizon. To assess the value of renewable energy forecasting for the German day-ahead market, the Agent-based Market model for the Investigation of Renewable and Integrated energy Systems (AMIRIS) was enhanced to account for power forecast errors. For this purpose, a feature was developed that allows for the adjustment of forecasts for the feed-in of renewable energies using a Gaussian distributed error term. Furthermore, this deliverable presents a realistic forecast time series that was implemented in AMIRIS. The case study of the German day-ahead market in 2019 demonstrated that realistic power forecasts can reduce the profits of onshore wind turbine operators by approximately 8% compared to perfect foresight of wind infeed. Assuming Gauss-distributed errors, the losses are smaller (~ 5 % less profit compared to the perfect forecast). The power forecast tools developed in this task will be publicly shared and disseminated in the channels of the project. With this step, users can use the tools for obtaining power forecasts in future studies or use the approaches developed in TradeRES as a benchmark.