Card Overview

flexible load toolbox

Flexible load toolbox Do you have flexibility in your (electricity) demand profile? Or are you an aggregator? You are likely interested in measuring the cost and risk from different energy market participation strategies, and you may want to assess the scalability and solution quality of different algorithms to schedule flexible loads optimally. Are you a network or market operator? Then you may have similar questions, but at the system level where network capacity constraints can be critical. Measuring is not sufficient; you may need to understand the effect of parties using their flexibility under different circumstances (and in the future), and may want to compare the consequences of alternative market rules and agreements with aggregators/end users. Do you work for a ministry and are you involved in discussions on the energy transition? A better understanding of the consequences of (not) changing the regulation is important. Are you a researchers on electricity markets, networks, or scheduling algorithms? Then this toolbox may also be very useful for you! We have developed an open-source Toolbox for benchmarking scheduling algorithms considering different energy market designs. The Toolbox has a modular design that will help users, system operators and market designers answer such questions. It already includes a number algorithms, but our objective is that users can customize them or develop new algorithms that are better suited for individual needs. Furthermore, we want that users exploit their business intelligence when using the Toolbox. Therefore, we are not only presenting the Toolbox but helping you to get started customizing it for your objectives. Please see a lecture video on benchmarking flexible electric load scheduling algorithms under market price uncertainty here ( slides available ). Toolbox source code The source code of the toolbox is open-source and available at this git repository . If you use this toolbox, please cite the following paper: Koos van der Linden, Natalia Romero and Mathijs M. de Weerdt (2021). Benchmarking Flexible Electric Loads Scheduling Algorithms , Energies 14(5), 1269. Impression of the toolbox output The toolbox runs an online simulation of an electricity market. The trading agent can update its decisions every time step. The image shows how an electric vehicle charging schedule is updated over time. This schedule includes decisions to provide (voluntary) up/down reserves. Future proof flexible charging The flexible load toolbox is part of the Future proof flexible charging project. The Netherlands Organization for Scientific Research (NWO) funded the Toolbox and workshop as part of the Uncertainty Reduction in Smart Energy Systems program (URSES). The partnership with Jedlix made this work possible. Find out more about this project on the project page .

Research

Research Professor Atsushi Urakawa Atsushi Urakawa's research team combines fundamental and applied research and aims at the rational design of heterogeneous catalysts and processes aided by in situ and operando methodologies. Go to Atsushi Urakawa Go to Urakawa Group Associate Professor Monique A. van der Veen Dr. van der Veen's research focusses on the development of nanoporous materials for photocatalysis and electronics. Most notably we work with metal-organic framework. These structures that consist of inorganic clusters linked by organic linkers into 3-D nanoporous crystalline solids offer a playground where via varying the constituents we can change the properties and topology at will. We focus on developing materials for converting solar energy into chemical fuels, to be used as memories in physically flexible electronics and to be used as harvesters of ambient mechanical vibration energy. An important component of our research is the use of advanced optical spectroscopy to gain detailed insight in the structure and function of nanoporous materials. This includes ultrafast spectroscopy on heterogenous catalysts under reaction conditions. Go to Monique van der Veen Go to Van der Veen Group . Assistant professor Dr. Atul Bansode Atul’s work is focused on high pressure (500 bar) catalysis and instrumentation. His research combines multiple areas of science such as chemistry, mechanical, electronics and programming to create world class advanced instrumentation and innovative processes in catalysis with special emphasize on developing high pressure and high-throughput catalytic systems as well as in-situ/operando tools. The active areas of his research are CO 2 /syngas conversion, in situ/operando spectroscopy and hydrocarbon processing. Go to Atul Bansode Go to Bansode Group Associate Professor Michiel Makkee Dr. Makkee’s research can be characterised as giving solutions to some of the challenges in current society. Depending on the challenge, attention will be paid to either catalyst development (new or improved ) or reactor development. The activities can be best described as “Industrial Catalysis for Society”. Read more Professor Em. Freek Kapteijn Regular arrangement of catalysts in reactors decouples the scale dependent and independent phenomena, such as intrinsic kinetics, thermodynamics, mass and heat transport and hydrodynamics. This allows their independent optimization so that all rate processes in a reactor are in balance and the catalyst is used in the way it was designed for. Structuring ranges from the molecular to the reactor scale in a hierarchical way. Microscopically zeolites, MOFs and well defined clusters are used. Macroscopically one should think of monoliths, foams, corrugated packing etc. Combined with multifunctional operation this approach can give a large boost to process intensification. Radial heat transport in reactor packings is a big challenge and subject of study. Read more

Filter results

flexible load toolbox

Flexible load toolbox Do you have flexibility in your (electricity) demand profile? Or are you an aggregator? You are likely interested in measuring the cost and risk from different energy market participation strategies, and you may want to assess the scalability and solution quality of different algorithms to schedule flexible loads optimally. Are you a network or market operator? Then you may have similar questions, but at the system level where network capacity constraints can be critical. Measuring is not sufficient; you may need to understand the effect of parties using their flexibility under different circumstances (and in the future), and may want to compare the consequences of alternative market rules and agreements with aggregators/end users. Do you work for a ministry and are you involved in discussions on the energy transition? A better understanding of the consequences of (not) changing the regulation is important. Are you a researchers on electricity markets, networks, or scheduling algorithms? Then this toolbox may also be very useful for you! We have developed an open-source Toolbox for benchmarking scheduling algorithms considering different energy market designs. The Toolbox has a modular design that will help users, system operators and market designers answer such questions. It already includes a number algorithms, but our objective is that users can customize them or develop new algorithms that are better suited for individual needs. Furthermore, we want that users exploit their business intelligence when using the Toolbox. Therefore, we are not only presenting the Toolbox but helping you to get started customizing it for your objectives. Please see a lecture video on benchmarking flexible electric load scheduling algorithms under market price uncertainty here ( slides available ). Toolbox source code The source code of the toolbox is open-source and available at this git repository . If you use this toolbox, please cite the following paper: Koos van der Linden, Natalia Romero and Mathijs M. de Weerdt (2021). Benchmarking Flexible Electric Loads Scheduling Algorithms , Energies 14(5), 1269. Impression of the toolbox output The toolbox runs an online simulation of an electricity market. The trading agent can update its decisions every time step. The image shows how an electric vehicle charging schedule is updated over time. This schedule includes decisions to provide (voluntary) up/down reserves. Future proof flexible charging The flexible load toolbox is part of the Future proof flexible charging project. The Netherlands Organization for Scientific Research (NWO) funded the Toolbox and workshop as part of the Uncertainty Reduction in Smart Energy Systems program (URSES). The partnership with Jedlix made this work possible. Find out more about this project on the project page .

Research

Research Professor Atsushi Urakawa Atsushi Urakawa's research team combines fundamental and applied research and aims at the rational design of heterogeneous catalysts and processes aided by in situ and operando methodologies. Go to Atsushi Urakawa Go to Urakawa Group Associate Professor Monique A. van der Veen Dr. van der Veen's research focusses on the development of nanoporous materials for photocatalysis and electronics. Most notably we work with metal-organic framework. These structures that consist of inorganic clusters linked by organic linkers into 3-D nanoporous crystalline solids offer a playground where via varying the constituents we can change the properties and topology at will. We focus on developing materials for converting solar energy into chemical fuels, to be used as memories in physically flexible electronics and to be used as harvesters of ambient mechanical vibration energy. An important component of our research is the use of advanced optical spectroscopy to gain detailed insight in the structure and function of nanoporous materials. This includes ultrafast spectroscopy on heterogenous catalysts under reaction conditions. Go to Monique van der Veen Go to Van der Veen Group . Assistant professor Dr. Atul Bansode Atul’s work is focused on high pressure (500 bar) catalysis and instrumentation. His research combines multiple areas of science such as chemistry, mechanical, electronics and programming to create world class advanced instrumentation and innovative processes in catalysis with special emphasize on developing high pressure and high-throughput catalytic systems as well as in-situ/operando tools. The active areas of his research are CO 2 /syngas conversion, in situ/operando spectroscopy and hydrocarbon processing. Go to Atul Bansode Go to Bansode Group Associate Professor Michiel Makkee Dr. Makkee’s research can be characterised as giving solutions to some of the challenges in current society. Depending on the challenge, attention will be paid to either catalyst development (new or improved ) or reactor development. The activities can be best described as “Industrial Catalysis for Society”. Read more Professor Em. Freek Kapteijn Regular arrangement of catalysts in reactors decouples the scale dependent and independent phenomena, such as intrinsic kinetics, thermodynamics, mass and heat transport and hydrodynamics. This allows their independent optimization so that all rate processes in a reactor are in balance and the catalyst is used in the way it was designed for. Structuring ranges from the molecular to the reactor scale in a hierarchical way. Microscopically zeolites, MOFs and well defined clusters are used. Macroscopically one should think of monoliths, foams, corrugated packing etc. Combined with multifunctional operation this approach can give a large boost to process intensification. Radial heat transport in reactor packings is a big challenge and subject of study. Read more
48202 results

Half height card - Default

Styling based on the availability of image, title, metadata and text

TU Delft jointly wins XPRIZE Rainforest drone competition in Brazil

TU Delft jointly wins in the XPRIZE Rainforest competition in the Amazon, Brazil Imagine using rapid and autonomous robot technology for research into the green and humid lungs of our planet; our global rainforests. Drones that autonomously deploy eDNA samplers and canopy rafts uncover the rich biodiversity of these complex ecosystems while revealing the effects of human activity on nature and climate change. On November 15, 2024, after five years of intensive research and competition, the ETHBiodivX team, which included TU Delft Aerospace researchers Salua Hamaza and Georg Strunck, achieved an outstanding milestone: winning the XPRIZE Rainforest Bonus Prize for outstanding effort in co-developing inclusive technology for nature conservation. The goal: create automated technology and methods to gain near real-time insights about biodiversity – providing necessary data that can inform conservation action and policy, support sustainable bioeconomies, and empower Indigenous Peoples and local communities who are the primary protectors and knowledge holders of the planet’s tropical rainforests. The ETHBiodivX team, made of experts in Robotics, eDNA, and Data Insights, is tackling the massive challenge of automating and streamlining the way we monitor ecosystems. Leading the Robotics division, a collaboration between TU Delft’s Prof. Salua Hamaza, ETH Zurich’s Prof. Stefano Mintchev and Aarhus University’s Profs. Claus Melvad and Toke Thomas Høye, is developing cutting-edge robotic solutions to gather ecology and biology data autonomously. “We faced the immense challenge of deploying robots in the wild -- and not just any outdoor environment but one of the most demanding and uncharted: the wet rainforests. This required extraordinary efforts to ensure robustness and reliability, pushing the boundaries of what the hardware could achieve for autonomous data collection of images, sounds, and eDNA, in the Amazon” says prof. Hamaza. “Ultimately, this technology will be available to Indigenous communities as a tool to better understand the forest's ongoing changes in biodiversity, which provide essential resources as food and shelter to the locals.” . . . .

Full card - image & title only

No results matching your search query were found.

Full card - half image, title

No results matching your search query were found.

Full card - half image, title and abstract

No results matching your search query were found.