tum-ewk/OpenTUMFlex: First public release of OpenTUMFlex

Zadé, Michel; You, Zhengjie; Nalini, Babu Kumaran

doi:10.5281/zenodo.4251512

Cited by 4 publications

(3 citation statements)

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“…By implementing and simulating the best performing modeling approaches we were able to make a more detailed analysis of the applicability of the previously selected models. Based on the gained knowledge we recommend the OpenTUMFlex modeling approach by Zadé et al for anybody who is looking for an open source flexibility modeling framework that generates an easy to handle and unified representation of flexibility for domestic power devices [18] . Furthermore, the evaluation process showed that the Flexibility Trinity concept introduced by Ulbig and Andersson delivers a strong methodological foundation on which can be built upon in the development of further approaches for unified flexibility modeling [9].…”

Section: Discussionmentioning

confidence: 99%

“…Zadé et al point out the opportunities arising from the aggregation of flexibility from small-scale devices regarding the provision of ancillary services in modern power supply systems [18]. In order to make use of the flexibility from small-scale devices the authors introduce a free accessible python-based flexibility model that allows electrical flexibility quantification and pricing for household devices.…”

Section: Opentumflexmentioning

confidence: 99%

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Choosing the right model for unified flexibility modeling

Brandt

Frost

Ferenz

et al. 2022

Preprint

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Using aggregated flexibility from distributed small-scale power devices is an extensively discussed approach to meet the challenges in modern and increasingly stochastic energy systems. It is crucial to be able to model and map the flexibility of the respective power devices in a unified form to increase the value of the cumulative flexibility from different small-scale power devices by aggregation. In order to identify an already existing modeling approach suitable for unified flexibility modeling, we provide a comprehensive overview of the broad range of flexibility models described in scientific literature. Additionally, we present in detail five selected modeling approaches allowing the generation of a unified flexibility representation for different power devices. By using an evaluation metric we assess the suitability of the selected approaches for unified flexibility modeling and their applicability. To allow a more detailed performance analysis, the best evaluated models are implemented and simulations with different small-scale devices are performed. The results shown in this paper highlight the heterogeneity of modeling concepts deriving from the various interpretations of flexibility in scientific literature. Due to the varying complexity of the modeling approaches, different flexibility potentials are identified, necessitating a combination of approaches to capture the entire spectrum of the flexibility of different small-scale power devices. Furthermore, it is demonstrated that a complex model does not necessarily lead to the discovery of higher flexibility potentials, and recommendations are given on how to choose an appropriate model.

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Section: Discussionmentioning

confidence: 99%

Section: Opentumflexmentioning

confidence: 99%

Choosing the right model for unified flexibility modeling

Brandt

Frost

Ferenz

et al. 2022

Preprint

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show abstract

“…All modeling and calculations processes are carried out in the framework of open-source software OpenTUMFlex. For more information, please refer to Supplementary Materials [26].…”

Section: Modeling and Optimizationmentioning

confidence: 99%

Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty

et al. 2021

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With the increasing penetration of intermittent renewable energy generation, there is a growing demand to use the inherent flexibility within buildings to absorb renewable related disruptions. Heat pumps play a particularly important role, as they account for a high share of electricity consumption in residential units. The most common way of quantifying the flexibility is by considering the response of the building or the household appliances to external penalty signals. However, this approach neither accounts for the use cases of flexibility trading nor considers its impact on the prosumer comfort, when the heat pump should cover the stochastic domestic hot water (DHW) consumption. Therefore, in this paper, a new approach to quantifying the flexibility potential of residential heat pumps is proposed. This methodology enables the prosumers themselves to generate and submit the operating plan of the heat pump to the system operator and trade the alternative operating plans of the heat pump on the flexibility market. In addition, the impact of the flexibility provision on the prosumer comfort is investigated by calculating the warm water temperature drops in the thermal energy storage given heat demand forecast errors. The results show that the approach with constant capacity reservation in the thermal energy storage provides the best solution, with an average of 2.5 min unsatisfactory time per day and a maximum temperature drop of 2.3∘C.

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EnergyOS: Designing a Multi-Application EMS Platform

Okoyomon,

Goebel

2024

The 15th ACM International Conference on Future and Sustainable Energy Systems

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tum-ewk/OpenTUMFlex: First public release of OpenTUMFlex

Cited by 4 publications

References 0 publications

Choosing the right model for unified flexibility modeling

Choosing the right model for unified flexibility modeling

Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty

EnergyOS: Designing a Multi-Application EMS Platform

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