Building Energy Management in the FZI House of Living Labs

Becker, Birger; Kern, Fabian; Lösch, Manuel; Mauser, Ingo; Schmeck, Hartmut

doi:10.1007/978-3-319-25876-8_9

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…An approach from the Organic Computing domain has been presented by Schmeck et al in the context of their 'Smart Home'; a building energy management system (i.e., a HEMS) that combines different communication technologies for monitoring, data recording, and visualisation purposes [59]. This information is used to perform offline optimisations using heuristics to improve the utilisation of flexibilities for goals such as an increased self-consumption or the provisioning of grid-supporting services.…”

Section: Self-optimisationmentioning

confidence: 99%

The Vision of Self-Management in Cognitive Organic Power Distribution Systems

et al. 2022

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Due to the ongoing trend towards a decarbonisation of energy use, the power system is expected to become the backbone of all energy sectors and thus the fundamental critical infrastructure. High penetration with distributed energy resources demands the coordination of a large number of prosumers, partly controlled by home energy management systems (HEMS), to be designed in such a way that the power system’s operational limits are not violated. On the grid level, distribution management systems (DMS) seek to keep the power system in the normal operational state. On the prosumer level, distributed HEMS optimise the internal power flows by setpoint specification of batteries, photovoltaic generators, or flexible loads. The vision of the ODiS (Organic Distribution System) initiative is to develop an architecture to operate a distribution grid reliably, with high resiliency, and fully autonomously by developing “organic” HEMS and DMS which possess multiple self-x capabilities, collectively referred to as self-management. Thus, ODiS seeks answers to the following question: How can we create the most appropriate models, techniques, and algorithms to develop novel kinds of self-configuring, self-organising, self-healing, and self-optimising DMS that are integrally coupled with the distributed HEMS? In this concept paper, the vision of ODiS is presented in detail based on a thorough review of the state of the art.

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Section: Self-optimisationmentioning

confidence: 99%

The Vision of Self-Management in Cognitive Organic Power Distribution Systems

et al. 2022

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“…A similar environment where energy related technologies have been integrated into an in-use commercial building is presented in [7]. Electrical and thermal components are integrated and monitored by various sensors.…”

Section: E Similar Research Environmentsmentioning

confidence: 99%

“…A HIL environment for evaluation of ICT controllers and protection equipment with focus on network integration is presented in [9]. An overview of more similar lab environments is given in [7]. Nevertheless, no one has presented PHIL evaluation of LV entities, like an intelligent building.…”

Section: E Similar Research Environmentsmentioning

confidence: 99%

Establishing a hardware-in-the-loop research environment with a hybrid energy storage system

Kochanneck

Mauser

Bohnet³

et al. 2016

2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)

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The KIT Energy Smart Home Lab is a smart residential building comprising building automation, metering systems, sensors, intelligent appliances, heating, ventilation, and airconditioning equipment, distributed generation, and energy storage systems. Currently, the lab is extended by a hybrid energy storage system and a linear voltage amplifier for real-time simulations, to facilitate fully functional power hardware-in-the-loop simulations and evaluations. This paper presents the setup of the lab, the hardwarein-the loop research environment, and first measurements when using a simulated artificial mains network.

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