Energy aware building automation enables Smart Grid-friendly buildings

Zucker, Gerhard; Pálenský, Peter; Judex, Florian; Hettfleisch, Christian; Schmidt, Ralf-Roman; Basciotti, Daniele

doi:10.1007/s00502-012-0012-5

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…Smaller innovation steps have been taken by e. g. using linear controllers that can adapt their parameters autonomously (PRAC -Patter Recognition Adaptive Controllers, which are well accepted since the PID controller remains in the system and is only extended by additional logic). More advance approaches are model-based control [10] or optimization to enable flexible operation of the building depending on external parameters like available energy, price or CO2 costs (see e. g. [11]). …”

Section: Improve Controls and Monitoringmentioning

confidence: 99%

Energy efficient building automation: A survey paper on approaches and technologies for optimized building operation

Haase

Zucker

Alahmad

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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Building automation is a trusted technology to ensure user comfort in buildings. Today the challenge is not only to provide comfort, but to do it while having a close eye on the energy performance of the building. Distributed, renewable energy sources, advances in IT and tighter legislative constraints offer and demand changes in the way we operate buildings. We look at the core fields that enable building operation: monitoring of operation data, controls, automation and the management organization to show that innovation can be achieved by integrating cross-domain knowledge and getting inspirations from other domains, where existing approaches and technologies can be used and transferred to the domain of building automation.

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Section: Improve Controls and Monitoringmentioning

confidence: 99%

Energy efficient building automation: A survey paper on approaches and technologies for optimized building operation

Haase

Zucker

Alahmad

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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“…There are many works about optimization and controlling seasonal storages (STES) [10,11]. The topic of utilization of demand side management in space heating for the purpose of optimization has been also discussed in several works [12,13]. Hydraulic modeling of DH networks (in steady state) has been described in [14].…”

Section: Current State Of Researchmentioning

confidence: 99%

Modeling of District Heating Networks for the Purpose of Operational Optimization with Thermal Energy Storage

Leśko

Bujalski

2017

Archives of Thermodynamics

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The aim of this document is to present the topic of modeling district heating systems in order to enable optimization of their operation, with special focus on thermal energy storage in the pipelines. Two mathematical models for simulation of transient behavior of district heating networks have been described, and their results have been compared in a case study. The operational optimization in a DH system, especially if this system is supplied from a combined heat and power plant, is a difficult and complicated task. Finding a global financial optimum requires considering long periods of time and including thermal energy storage possibilities into consideration. One of the most interesting options for thermal energy storage is utilization of thermal inertia of the network itself. This approach requires no additional investment, while providing significant possibilities for heat load shifting. It is not feasible to use full topological models of the networks, comprising thousands of substations and network sections, for the purpose of operational optimization with thermal energy storage, because such models require long calculation times. In order to optimize planned thermal energy storage actions, it is necessary to model the transient behavior of the network in a very simple way -allowing for fast and reliable calculations. Two approaches to building such models have been presented. Both have been tested by comparing the results of simulation of the behavior of the same network. The characteristic features, advantages and disadvantages of both kinds of models have been identified. The results can prove useful for district heating system operators in the near future.

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“…from a night setpoint to a day setpoint g . However, load shifting in thermal networks is rarely implemented, mainly because the absence of suitable smart meters and the lack of motivation as long as heat in district heating networks is usually produced by combined heat and power plants (CHP plants) and it is not applicable to energy markets with time variable tariffs and fossil fuels for peak load coverage are relatively cheap [18].…”

Section: Load Shifting In Thermal Networkmentioning

confidence: 99%

Smart thermal networks for smart cities – Introduction of concepts and measures

Schmidt

Pol

Basciotti

et al. 2012

EPJ Web of Conferences

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Abstract. In order to contribute to high living standards, climate mitigation and energy supply security, future urban energy systems require a holistic approach. In particular an intelligent integration of thermal networks is necessary. This paper will briefly present the "smart city" concept and introduce an associated definition for smart thermal networks defined on three levels: 1. the interaction with urban planning processes and the interface to the overall urban energy system, 2. the adaptation of the temperature level and 3. supply and demand-side management strategies.

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Energy aware building automation enables Smart Grid-friendly buildings

Cited by 9 publications

References 3 publications

Energy efficient building automation: A survey paper on approaches and technologies for optimized building operation

Energy efficient building automation: A survey paper on approaches and technologies for optimized building operation

Modeling of District Heating Networks for the Purpose of Operational Optimization with Thermal Energy Storage

Smart thermal networks for smart cities – Introduction of concepts and measures

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