Paper presentations Virtual Room
Feb 17, 2022 03:30 PM - 05:00 PM(Europe/Amsterdam)
20220217T1530 20220217T1700 Europe/Amsterdam Modelling energy flows Virtual Room Reinventing the City events@ams-institute.org
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Power flows in smart rail multi-networksView Abstract
Oral presentationUrban Energy 03:30 PM - 05:00 PM (Europe/Amsterdam) 2022/02/17 14:30:00 UTC - 2022/02/17 16:00:00 UTC
Please find attached.
Presenters Frank Van Der Pijl
TU Delft // AMS Institute
Digital Twin Services for Future Urban Energy SystemsView Abstract
Oral presentationUrban Energy 03:30 PM - 05:00 PM (Europe/Amsterdam) 2022/02/17 14:30:00 UTC - 2022/02/17 16:00:00 UTC
Metropolitan areas are undergoing an energy transition of their own. Technologies such as rooftop solar PV and batteries, electric vehicles, electric heat pumps, and electric boilers transforming the urban energy landscape. In many areas, district heating is supplying cheap and reliable heat to residents by recycling waste heat from industries and data centers. However, unregulated, and explosive growth in the adoption of these technologies has outstripped the pace at which upgrades are needed in the electricity grid to support this transition as is seen in Amsterdam. This gives rise to smart solutions like demand side management to make the local grid more flexible. The potential and operation of grid-connected devices to provide such flexibility must be evaluated in a fair and transparent fashion.---A digital twin supplements the associated decision-making processes by providing independent facts and figures to the associated stakeholders. By using a data-driven continuously updated model of the energy system, various studies can be implemented to understand the system behaviour, mitigate unnecessary operating situations, and evaluate flexibility. Examples include: 1) weather forecast, 2) load demand scenarios, 3) congestion prediction, and 4) uncertainty quantification. A digital twin also acts as a testbed for testing different control strategies for flexible grid operation, and enables operators to be “active” in their operation, control, and maintenance.---This paper provides an overview of digital twin services and their needs in terms of data processing, modelling requirements, and simulation setup. It will be evaluated how EnergySim (https://pypi.org/project/energysim/) can support the services in a cloud setting. The results of this paper can be used by urban energy planners and developers to check out if digital twins can support their activities and will give a guideline on the assumptions to take.
Presenters Digvijay Gusain
Ph.D. Student, TU Delft
Co-Authors
AV
Arjen Van Der Meer
TU Delft // AMS Institute
Peter Palensky
TU Delft
Exploring Flexibility Markets for Congestion Management: A Review of Currently Operational MarketsView Abstract
Oral presentationUrban Energy 03:30 PM - 05:00 PM (Europe/Amsterdam) 2022/02/17 14:30:00 UTC - 2022/02/17 16:00:00 UTC
The massive adhesion of new technology on the consumer side as electrical heating, solar PV and electrical vehicles are causing a structural change in electricity consumption patterns and taking the grid capacity to its limit, especially in densely populated urban areas. As a result, it is becoming more complex for distribution grid operators (DSO) to guarantee the grid capacity, control the power flows in real-time, and ensure stability and reliability of their electricity networks. Once that the maximum transport capacity is reached, congestion is build-up, which can lead to a local power outage and, eventually, to structural black-outs. A traditional solution would be reinforcing the critical parts of the grids, however, this is a multi-year and high-cost process, amplified by the severe shortage of qualified field technicians. As a solution, applying flexibility in medium and low voltage (MV\LV) grids has been identified as a key requirement in future power systems to manage the uncertainty and to solve congestion. Flexibility is the ability to change the energy usage/provision of assets in a certain time frame, which could be done by reducing consumption or providing more energy to the grid, or by curtailing renewable generation. For residential households, this yields load-shifting, rescheduling, load-control, vehicle-to-grid, (heating) storage, amongst others. One of the options to invoke such flexible behaviour, is by trading through a dedicated flexibility market in such a way that the consumer can sell its flexible capacity, as a service, to the DSO to resolve congestion. This paper will review local flexibility markets that are currently in operation (e.g., GOPACS, NODES, Piclo Flex, Enera, NEBEF and PJM) to provide trading platforms for local participants, including distribution system operators and aggregators with the objective of managing congestion. The paper will start with a review around the key elements and technologies of a flexibility market. Afterwards, the proposed markets are compared, and future research directions and challenges are suggested. The results of this paper allow a well-weighed tradeoff between the application of (explicit) flexibility from a DSO’s perspective, and will provide insight into the systemic adaptations needed to roll out such approaches.
Presenters Caroline Farias
TU Delft
Co-Authors
AV
Arjen Van Der Meer
TU Delft // AMS Institute
Peter Palensky
TU Delft
ZL
Zofia Lukszo
TU Delft
TU Delft // AMS Institute
Ph.D. student
,
TU Delft
 Peter  Palensky
TU Delft
AMS Institute
Nottingham Trent University, UK
Wageningen University & Research
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