Novel simulation concepts for buildings and community energy systems based on the Functional Mock-up Interface specification

Widl, E.; Delinchant, Benoît; Kubler, Svea; Li, Dan; Müller, W; Norrefeldt, Victor; Nouidui, Thierry Stephane; Stratbücker, Sebastian; Wetter, Michael; Würtz, Fréderic

doi:10.1109/mscpes.2014.6842396

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…On the other hand, it facilitates the participation of and interaction between experts from different domains, whose expertise is often closely linked to specific tools (thus satisfying KP3). This advantage has led to various research activities in many energy-related domains, e.g., buildings [13,14], power systems [15][16][17][18] and hybrid distribution networks [12,19].…”

Section: Simulation Of Coupled Heat and Power Networkmentioning

confidence: 99%

Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation

et al. 2020

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Innovations in today’s energy grids are mainly driven by the need to reduce carbon emissions and the necessary integration of decentralized renewable energy sources. In this context, a transition towards hybrid distribution systems, which effectively couple thermal and electrical networks, promises to exploit hitherto unused synergies for increasing efficiency and flexibility. However, this transition poses practical challenges, starting already in the design phase where established design optimization approaches struggle to capture the technical details of control and operation of such systems. This work addresses these obstacles by introducing a design approach that enables the analysis and optimization of hybrid thermal-electrical distribution systems with explicit consideration of control. Based on a set of key prerequisites and modeling requirements, co-simulation is identified as the most appropriate method to facilitate the detailed analysis of such systems. Furthermore, a methodology is presented that links the design process with the implementation of different operational strategies. The approach is then successfully applied to two real-world applications, proving its suitability for design optimization under realistic conditions. This provides a significant extension of established tools for the design optimization of multi-energy systems.

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Section: Simulation Of Coupled Heat and Power Networkmentioning

confidence: 99%

Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation

et al. 2020

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“…Until recently, researchers have investigated application of FMI to CPES assessment in an effort to improve interoperability and reusability of models [41,42]. In [43], a new method of exploiting FMU via web-service and Service Oriented Architectures (SOA) is proposed.…”

Section: Model Exchange-functional Mock-up Interfacementioning

confidence: 99%

On Conceptual Structuration and Coupling Methods of Co-Simulation Frameworks in Cyber-Physical Energy System Validation

et al. 2017

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Co-simulation is an emerging method for cyber-physical energy system (CPES) assessment and validation. Combining simulators of different domains into a joint experiment, co-simulation provides a holistic framework to consider the whole CPES at system level. In this paper, we present a systematic structuration of co-simulation based on a conceptual point of view. A co-simulation framework is then considered in its conceptual, semantic, syntactic, dynamic and technical layers. Coupling methods are investigated and classified according to these layers. This paper would serve as a solid theoretical base for specification of future applications of co-simulation and selection of coupling methods in CPES assessment and validation.

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“…A vital aspect of this is the ability to simultaneously simulate the building envelope along with the control strategy to enable an integrated analysis of such interacting building systems (Mazzarella and Pasini, 2009). However, the types and ranges of control strategies that can be modelled in current BPS tools, such as EnergyPlus (National Renewable Energy Laboratory (NREL), 2018), are limited (Widl et al, 2014). An example of these limitations is the modelling assumptions in current BPS tools that hinder proper modelling and prediction of the influence of control decisions on the dynamic performance of building envelopes.…”

Section: Introductionmentioning

confidence: 99%

Optimisation Of Controller Parameters For Adaptive Building Envelopes Through A Co-Simulation Interface: A Case Study

Borkowski¹,

Donato²,

Zemella³

et al.

Building Simulation Conference Proceedings

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Adaptive building envelopes can dynamically adapt to environmental changes, often supported by a control system. While building performance simulation (BPS) tools can be employed to test different design alternatives, representing control strategies within current BPS tools can be challenging, especially for systems with a fast, dynamic response. Another challenge in current BPS tools is the ability to tune and select parameters for the particular use case. In this study, a modelling approach is presented for the integrated analysis of control strategies of adaptive building envelopes linking thermal performance and control with an optimisation algorithm. The proposed modelling approach was evaluated using a case study with an automated motorised blind with two distinct control strategies. Simulation results suggest that the window heat gains were 72.7 % lower when the controller model was coupled with an optimiser to identify optimised controller parameters compared to a baseline control strategy. The results of this study are suggestive of the benefits that can be obtained from adjusting the dynamic aspects of the building envelope. The results support the thesis of using optimisation as standard building envelope design practice in the future.

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Novel simulation concepts for buildings and community energy systems based on the Functional Mock-up Interface specification

Cited by 6 publications

References 14 publications

Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation

Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation

On Conceptual Structuration and Coupling Methods of Co-Simulation Frameworks in Cyber-Physical Energy System Validation

Optimisation Of Controller Parameters For Adaptive Building Envelopes Through A Co-Simulation Interface: A Case Study

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