Expert survey and classification of tools for modeling and simulating hybrid energy networks

Widl, E.; Cronbach, Dennis; Sorknæs, Peter; Fitó, Jaume; Muschick, Daniel; Repetto, Maurizio; Ramousse, Julien; Ianakiev, Anton

doi:10.1016/j.segan.2022.100913

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…For the planning and operation of complex energy systems at the local level, different models and tools need to collaborate for better effectiveness and scalability. The authors of [2], [3] provide an overview of models and tools relevant to this context. The relevant models are the island energy-system tools such as H2RES and the local community energy-system tools such as Integrate, BCHP Screening Tool, COMPOSE, MODEST, HOMER, TRNSYS.…”

Section: B Related Literaturementioning

confidence: 99%

Workflow-based architecture for optimal planning of integrated local multi-energy systems

Askeland,

Morch,

Papadimitriou

et al. 2023

Preprint

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<p>Integrated local multi-energy systems are recognized as a promising option to achieve the ambitious energy and climate goals set by the European Commission for 2030. The nature of integrated systems requires a sound combination of interdisciplinary methodologies and complementary tools. Creating an efficient architecture capable of exploiting synergies between tools is therefore crucial for designing, analysing and operating integrated energy systems. The joint application of different tools needed for analysing a local system can be very demanding and time-consuming due to vastly different data structures and functionalities. To address the need for complementary tools, the aim of this paper is to establish and test an integrated modelling architecture allowing the interaction of tools into a modular toolbox for the optimal planning of integrated local multi-energy systems, and also present key preliminary outcomes.</p>

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Section: B Related Literaturementioning

confidence: 99%

Workflow-based architecture for optimal planning of integrated local multi-energy systems

Askeland,

Morch,

Papadimitriou

et al. 2023

Preprint

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“…For each step of the planning process, research is published on how to improve predictions, models and simulations; new models and tools will continue to come. Therefore, whoever wishes to combine tools into a district energy system planning workflow needs to go through continuous efforts to keep up with newly developed tools, improved methods and updated data [8,9]. The following paragraphs provide an overview of challenges, existing tools and platforms in the field of district energy system planning.…”

Section: Introductionmentioning

confidence: 99%

Envisioning a Collaborative Energy System Planning Platform for the Energy Transition at the District Level

Lahrs,

Krisam,

Herrmann

2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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Residential and commercial buildings account for more than one-third of global energy-related greenhouse gas emissions. Integrated multi-energy systems at the district level are a promising way to reduce greenhouse gas emissions by exploiting economies of scale and synergies between energy sources. Planning district energy systems comes with many challenges in an ever-changing environment. Computational modelling established itself as the state-of-the-art method for district energy system planning. Unfortunately, it is still cumbersome to combine standalone models to generate insights that surpass their original purpose. Ideally, planning processes could be solved by using modular tools that easily incorporate the variety of competing and complementing computational models. Our contribution is a vision for a collaborative development and application platform for multi-energy system planning tools at the district level. We present challenges of district energy system planning identified in the literature and evaluate whether this platform can help to overcome these challenges. Further, we propose a toolkit that represents the core technical elements of the platform. Lastly, we discuss community management and its relevance for the success of projects with collaboration and knowledge sharing at their core.

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“…Since sector coupling and IES investigation is a rather novel topic, the state-of-the-art research does not offer a detailed overview of these tools. Despite the fact that tools for IES simulation and modeling have been surveyed in [6], to the best of the authors' knowledge, no unique set of tools for smart management exists in the literature. This paper aims to provide a catalogue of the most recent works that presents tools for optimization and management of IES in the perspective of sector coupling.…”

Section: Introductionmentioning

confidence: 99%

Smart Management for Integrated Energy Systems: Tools from Communities to Regions

Saletti

Morini

Gambarotta

2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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The novel concept of Smart Energy Systems has emerged over the last decade within the context of the energy transition toward a carbon-free sustainable future. For an energy system to be "smart", several factors have to converge: (i) a high integration of renewable energy sources, (ii) the flexibility required to deal with their fluctuating nature, (iii) the exploitation of digital technologies and (iv) the cross-sectoral approach that uses synergies between various energy domains (sector coupling). Indeed, the traditional domain-specific energy flows from production to usage are overcome in favor of an integrated approach, in which energy is converted or stored into the most convenient vector. Coupling energy sectors, however, requires smart management and control strategies that are able to drive a system toward minimal energy use (or minimal cost), despite its increased complexity. Furthermore, the advanced management strategy of a smart energy system may vary significantly depending on its spatial dimensions, from the national/regional level to small-scale energy communities or islands. Hence, pointing out the latest progress on smart management is paramount for orienting future research and practice, and fostering the energy transition. This work reviews the available methods and tools for enabling the optimal operation of smart energy systems at different spatial and temporal scales. They are categorized according to relevant features such as the energy vectors and infrastructures involved, the presence of short-term or seasonal storage, the time horizon and specific application. The paper also summarizes research guidelines and drivers for the continuous development and expansion of smart energy systems at all levels. It was found particularly relevant to investigate optimal management at multiple time and space scales at the same time, for exploiting not only synergies between sectors, but also between neighboring communities. The tools should also have the possibility to include additional energy vectors (e.g. different types of chemicals) and their verification in demonstration cases should be promoted.

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Expert survey and classification of tools for modeling and simulating hybrid energy networks

Cited by 6 publications

References 35 publications

Workflow-based architecture for optimal planning of integrated local multi-energy systems

Workflow-based architecture for optimal planning of integrated local multi-energy systems

Envisioning a Collaborative Energy System Planning Platform for the Energy Transition at the District Level

Smart Management for Integrated Energy Systems: Tools from Communities to Regions

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