A cyber-physical systems perspective on decentralized energy management

Hoogsteen, Gerwin

doi:10.3990/1.9789036544320

Cited by 31 publications

(88 citation statements)

References 98 publications

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“…For the simulation study, the DEMKit simulation and demonstration toolkit was used [34]. The tool was developed at the University of Twente and is the successor of the previously developed TRIANA simulator [22].…”

Section: The Demkit Simulatormentioning

confidence: 99%

“…The battery controller verifies if this new power consumption is feasible, i.e., P min,battery (t) ≤ P battery (t) ≤ P max,battery (t) and whether battery capacity constraints are met. More details of device models and Energies 2018, 11, 265 6 of 13 control algorithms are given in [34]. The required capacity of battery storage system capacity can be determined from the data to ensure that the household can be supplied with the required power at all times.…”

Section: Using Demkit To Determine Storage Sizementioning

confidence: 99%

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Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Pulido

Hoogsteen

Kortenaar³

et al. 2018

Energies

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This work uses experimental data to estimate the size of storage needed for an isolated off-grid household in two different regions (Austin, Texas, US, and Nunspeet, NL). In our study, an off-grid house is considered to be supplied with 100% renewable energy during the summer period, in which cooling demand is neglected, and a solar photovoltaic (PV) system and batteries are the main electrical energy providers. Based on results achieved with the DEMkit simulation package we can conclude that, in both cases, using a solar PV system and a Sea-Salt battery would have been sufficient to provide the necessary electricity without showing a blackout during the summer of 2016. The Austin household needs a solar PV system of 38 kWp and storage of 452 kWh; in the case of Nunspeet, a solar PV system of 11.5 kWp and storage of 90 kWh is sufficient. Furthermore, using the DEMkit model, it is possible to determine an optimal value for the size of storage to half of the initial battery capacity (226 kWh for Austin and 45 kWh for Nunspeet) and still be able to provide enough power to cover the load demand of the households during the summer. In a second part, data of the solar PV system and load from Austin for one specific week was used to create data of a 'typical' but downscaled day. This day was used to determine the fluctuation of electricity for a real Sea-Salt battery for the considered off-grid scenario in Austin. The downscaling of the data was needed in order to have load values that fit to the size of the real battery. The tests show that the Sea-Salt battery under real electricity fluctuations is possibly adequate for off-grid scenarios.

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Section: The Demkit Simulatormentioning

confidence: 99%

Section: Using Demkit To Determine Storage Sizementioning

confidence: 99%

Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Pulido

Hoogsteen

Kortenaar³

et al. 2018

Energies

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“…To steer the available flexibility provided by the planned storage system and the parked EVs in and around the ArenA stadium, we use the profile steering DEM approach [21][22][23]. As the problem of finding optimal use of flexibility within the energy management setting is mathematically difficult (NP-hard), we use a heuristic approach [21,22].…”

Section: Flexibility Models and Profile Steeringmentioning

confidence: 99%

“…The profile steering approach is implemented in the DEMKit simulation platform that simulates scenarios like our case study of the ArenA in Python programming language. For more detailed information we refer the reader to [22,23].…”

Section: Flexibility Models and Profile Steeringmentioning

confidence: 99%

Energy Flexibility from Large Prosumers to Support Distribution System Operation—A Technical and Legal Case Study on the Amsterdam ArenA Stadium

et al. 2018

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Abstract:To deal with the rising integration of stochastic renewables and energy intensive distributed energy resources (DER) to the electricity network, alternatives to expensive network reinforcements are increasingly needed. An alternative solution often under consideration is integrating flexibility from the consumer side to system management. However, such a solution needs to be contemplated from different angles before it can be implemented in practice. To this end, this article considers a case study of the Amsterdam ArenA stadium and its surrounding network where flexibility is expected to be available to support the network in the future. The article studies the technical aspects of using this flexibility to determine to what extent, despite the different, orthogonal goals, the available flexibility can be used by various stakeholders in scenarios with a large load from electric vehicle charging points. Furthermore, a legal study is performed to determine the feasibility of the technical solutions proposed by analysing current European Union (EU) and Dutch law and focusing on the current agreements existing between the parties involved. The article shows that flexibility in the network provided by Amsterdam ArenA is able to significantly increase the number of charging points the network can accommodate. Nonetheless, while several uses of flexibility are feasible under current law, the use of flexibility provided by electric vehicles specifically faces several legal challenges in current arrangements.

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“…Furthermore, recent advances in halide carbon based battery technologies have increased the potential for using this technology in off-grid houses [35]. The combination of renewable energy with these new batteries for usage within microgrids is studied at the University of Twente in the Netherlands [38,43,44]. However, before an actual large scale application of these batteries in a field test a detailed understanding of reliability, power behaviour, electrochemical and chemical properties is needed.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Technologies for Off-grid Houses

Pulido¹,

Fernando²

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A cyber-physical systems perspective on decentralized energy management

Cited by 31 publications

References 98 publications

Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Energy Flexibility from Large Prosumers to Support Distribution System Operation—A Technical and Legal Case Study on the Amsterdam ArenA Stadium

Energy Storage Technologies for Off-grid Houses

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