Simulation of multi-domain energy systems based on the functional mock-up interface specification

Widl, E.; Müller, W; Basciotti, Daniele; Henein, Sawsan; Hauer, Stefan; Eder, Katharina

doi:10.1109/sedst.2015.7315261

Cited by 15 publications

(6 citation statements)

References 15 publications

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“…Mapping between the domains allows for hierarchical interaction of different directors. Although Ptolemy has not been designed specifically Rather distributed: HLA, MECSYCO for co-simulation, a number of approaches employ it as a framework for energy domain co-simulation [43,42]. However, these setups typically use only one type of director and thus do not utilize Ptolemy's full potential.…”

Section: Standards and Toolsmentioning

confidence: 99%

Future perspectives of co-simulation in the smart grid domain

Steinbrink

Schlögl

Babazadeh

et al. 2018

2018 IEEE International Energy Conference (ENERGYCON)

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The recent attention towards research and development in cyber-physical energy systems has introduced the necessity of emerging multi-domain co-simulation tools. Different educational, research and industrial efforts have been set to tackle the co-simulation topic from several perspectives. The majority of previous works has addressed the standardization of models and interfaces for data exchange, automation of simulation, as well as improving performance and accuracy of co-simulation setups. Furthermore, the domains of interest so far have involved communication, control, markets and the environment in addition to physical energy systems. However, the current characteristics and state of co-simulation testbeds need to be re-evaluated for future research demands. These demands vary from new domains of interest, such as human and social behavior models, to new applications of co-simulation, such as holistic prognosis and system planning. This paper aims to formulate these research demands that can then be used as a road map and guideline for future development of co-simulation in cyber-physical energy systems.

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Section: Standards and Toolsmentioning

confidence: 99%

Future perspectives of co-simulation in the smart grid domain

Steinbrink

Schlögl

Babazadeh

et al. 2018

2018 IEEE International Energy Conference (ENERGYCON)

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“…Free from hard work, dangerous work. 4. Realization of agriculture that is easy for everyone to work on.…”

Section: Smart Agriculture-need and Gapsmentioning

confidence: 99%

“…A new domain in which developing the infrastructure in addition to the capability of distributing modern facilities to support various scalable (cloud-based) as well as interoperable (multi-domain) submissions 4,5 is required. The realization of a regular issue of IoT, which is interoperability of the information and services that must be resolved within the IoT design racing based on the architecture of the Future Internet, academic in addition to the communities of Information and Communication Technology (ICT) 6,7 industry.…”

Section: Introductionmentioning

confidence: 99%

Importance of semantic interoperability in smart agriculture systems

Khatoon

Ahmed

2022

Trans Emerging Tel Tech

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The Internet of Things (IoT) connects people with real-world objects to exchange data. It is performed using services and devices present in the user's activities based on the IoT. Based on a common vocabulary or mappings, knowledge and information can be exchanged by different agents, services, and devices in this scenario. The heterogeneous sources can be represented and integrated by an ontology. The Semantic Web offers semantic interoperability that facilitates communication between heterogeneous devices and technology platforms. The state-of-the-art of IoT semantic interoperability is assessed and reviewed in this work. The importance and challenges of interoperability are discussed in detail with an in-depth analysis of the requirements. IoT based semantic interoperability model is discussed with semantic annotations of data required for heterogeneous IoT devices. Additionally, it has been presented which Semantic Web technologies are incorporated, and the challenges have been studied in this research area. Agriculture is a domain where IoT applications have a lot of potentials. The market is filled with several devices that collect data from the farms and send it to the cloud. Semantic Web technology for applications in agriculture has been discussed in detail with data integration. Semantic resources for agriculture have been enlisted with linked data hubs and semantic data standards. The article aims to address the need and requirement of IoT with semantic interoperability in the field of agriculture. The use of IoT interoperability in agriculture can bring long term benefits to the farmers and increase productivity while reducing the overall costs incurred.

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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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Simulation of multi-domain energy systems based on the functional mock-up interface specification

Cited by 15 publications

References 15 publications

Future perspectives of co-simulation in the smart grid domain

Future perspectives of co-simulation in the smart grid domain

Importance of semantic interoperability in smart agriculture systems

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

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