Publications

Overview

This maintains a list of publications (journals, conferences, …) where IESopt was applied as part of the modeling approach. Entries are in chronological order. If you want to contribute a new publication or project, please follow the instructions in the section on contributing below.

List of references

Mariuzzo, et al. (2025)

Factsheet
title	Grid-friendly optimization of energy communities through enhanced multiple participation
project	-
keywords	Energy communities, Multiple participation, Linear programming, Peak load, Load shedding
abstract	Energy communities have been designed to promote sustainable development in the form of improved and affordable energy access, sustainable generation, and social inclusion. Thus, in this study, an optimization model is proposed to allocate the demand and production of each participant, generation unit, and storage initially belonging to different communities that are implemented under the same distribution transformer and engage in multiple participation. Both energy- and grid-related costs are minimized, and the benchmark independent energy community case is compared with the novel multiple participation.
citation	Mariuzzo, I., Fina, B., Stroemer, S., Corinaldesi, C., & Raugi, M. (2025). Grid-friendly optimization of energy communities through enhanced multiple participation. Renewable and Sustainable Energy Reviews, 208, 115028.

Strömer, et al. (2024)

Factsheet
title	IESopt: A Modular Framework for High-Performance Energy System Optimization
project	-
keywords	energy system modeling, optimization framework, Julia, open-source-tool introduction
abstract	Current climatic, political, and societal challenges pose increasingly complex questions, which in turn require comprehensive models of the real world, with rapidly growing complexity, to support decision makers with sound and reliable quantitative analyses. The energy system optimization framework IESopt may constitute one piece in filling this gap, by offering a modular and adaptable tool for modelers, that does not compromise on performance while still being user-friendly. This is enabled by reducing energy system assets to abstract building blocks, that are supported by specialized implementation, and can be combined into complex systems without the need of a detailed understanding of mathematical modeling or proficiency in any coding-language. IESopt’s architecture and functionalities are laid out here, and demonstrated by the means of an illustrative example.
citation	Strömer, S., & Maggauer, K. (2024, September). IESopt: A Modular Framework for High-Performance Energy System Optimization. In 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES) (pp. 1-6). IEEE.

Strömer, et al. (2024)

Factsheet
title	Modelling the Future Hydrogen System: Insights from the Hydrogen Valley “East Austria”
project	H2Real
keywords	Hydrogen valleys, Infrastructure modelling, Energy system modelling, Optimisation
abstract	The ongoing project H2REAL, “Hydrogen Region East Austria goes Live”, aims to combine domain knowledge, existing assets, infrastructure, and real-world demonstrators, with scientific support to further develop the hydrogen infrastructure of Eastern Austria during the upcoming years. This work introduces the systemic modelling approach, undertaken as part of the project, that is used to analyse the emergence, transition, and to-be-achieved ideal design of the Austrian hydrogen infrastructure, that is indispensable to support imports, production, and transportation of hydrogen to wide range of customers.
citation	Strömer, S., Reuter, S., Ortmann, P., & Hasengst, F. (2024). Modelling the Future Hydrogen System: Insights from the Hydrogen Valley “East Austria”. In NEFI Conference New Energy for Industry 2024 Proceedings (pp. 26-28)

Strömer, et al. (2024)

Factsheet
title	Transitioning to a Renewable Hydrogen System: Optimal Infrastructure for Self-sufficient Hydrogen Supply in Austria by 2030
project	HyTechonomy
keywords	Hydrogen, Renewable energy, Infrastructure modeling, Energy system modeling, Optimization
abstract	In this study, we employ an optimization model to optimally design a self-sufficient, independent of any imports and exports, hydrogen infrastructure for Austria by 2030. Our approach integrates key hydrogen technologies within a detailed spatial investment and operation model – coupled with a European scale electricity market model. We focus on optimizing diverse infrastructure components including trailers, pipelines, electrolyzers, and storages to meet Austria’s projected hydrogen demand. To accurately estimate this demand in hourly resolution, we combine existing hydrogen strategies and projections to account for developments in various industrial sectors, consider demand driven by the transport sector, and integrate hydrogen demand arising from its use in gas-powered plants. Accounting for the inherent uncertainty linked to such projections, we run the analysis for two complementary scenarios. Our approach addresses the challenges of integrating large quantities of renewable hydrogen into a future energy system by recognizing the critical role of domestic production in the early market stages. The main contribution of this work is to address the gap in optimizing hydrogen infrastructure for effective integration of domestic renewable hydrogen production in Austria by 2030, considering sector coupling potentials, optimal electrolyzer placement, and the design of local hydrogen networks.
citation	Strömer, S., Beck, A., Traninger, M., Orsolits, D., Reuter, S. (2024). Transitioning to a renewable hydrogen system: Optimal infrastructure for self-sufficient hydrogen supply in Austria by 2030. In Smart Energy Volume 15 (2024) (pp. 1-17).

Ortmann, et al. (2024)

Factsheet
title	Development of a Global Market Model for Renewable Hydrogen
project	H2REAL
keywords	Renewable energy sources, Energy Markt Modelling, Hydrogen Market, Hydrogen Price Projections, Renewable Hydrogen
abstract	Considerable effort has been devoted to obtaining price indications for renewable hydrogen, reflecting the high interest in this topic. The focus of the present work is to combine the existing fundamental data into a market model to find a cost-minimizing equilibrium solution for a hypothetical ideal global hydrogen market in 2030. By combining data on planned production projects with LCOH estimations, a supply curve can be constructed for each region. Demand for renewable hydrogen is derived from European regulation such as the Renewable Energy Directive. Equilibrium prices, including marginal costs for transportation via ship or pipeline, range between €2.5 and 3.5 €/kg. The cost-optimal solution of the model also provides insights on the most efficient production sites as well as transport flows. It is observable that anticipated European production is adequate to meet demand, with flows within Europe mainly occurring from the North to the South.
citation	Ortmann, P., Reuter, S., & Strömer, S. (2024). Development of a Global Market Model for Renewable Hydrogen. In 20th International Conference on the European Energy Market (EEM)(pp. 1-6).

Ortmann, et al. (2024)

Factsheet
title	Entwicklung eines globalen Marktmodells für Wasserstoff
project	H2REAL
keywords	Wasserstoff, Erzeugungskosten, Marktmodell Wasserstoff
abstract	Wasserstoff wird einen essenziellen Bestandteil des zukünftigen Energiesystems darstellen. Derzeit liegen die Erzeugungskosten von grünem Wasserstoff deutlich über jenen von fossilen Alternativen. Vor allem in Mitteleuropa sind die Erzeugungspotentiale für grünen Wasserstoff beschränkt, weshalb der Import in einem wachsenden Markt eine zunehmende Rolle spielen wird. In vergangenen Arbeiten wurden die Erzeugungskosten an einzelnen Standorten ermittelt, gezielte Importrouten kalkuliert, Transportkosten abgeschätzt, oder das Flächenpotenzial zur H2-Erzeugung beurteilt. Die vorliegende Arbeit führt diese vorhandenen Fundamentaldaten in einem globalen Marktmodell zusammen, um eine kostenminimale Gleichgewichtslösung für den weltweiten Wasserstoffhandel zu finden.
citation	Ortmann, P., Reuter, S., & Strömer, S. (2024). Entwicklung eines globalen Marktmodells für Wasserstoff. 18. Symposium Energieinnovation (EnInnov 2024).

Reuter, et al. (2023)

Factsheet
title	Optimizing the Domestic Production and Infrastructure for Green Hydrogen in Austria for 2030
project	HyTechonomy
keywords	Hydrogen infrastructure, Energy system modelling, centralised electrolysis, decentralised electrolysis
abstract	The decarbonisation of the Austrian energy system is expected to be facilitated by the uptake of hydrogen-based technologies, which requires the establishment of a hydrogen infrastructure to meet the rising demand. While large quantities of hydrogen are expected to be imported in the future, current developments in the energy market suggest that domestic production of hydrogen should not be ignored to ensure the security of supply. As domestic production ramps up, locating electrolysers to ensure optimal system integration is still an open question. To address this challenge, the “HyTechonomy” project developed an optimisation model that identifies the most promising domestic locations for green hydrogen production and optimal means of hydrogen transport for the year 2030.
citation	Reuter, S., Strömer, S., Traninger, M., & Beck, A. (2023, September). Optimizing the Domestic Production and Infrastructure for Green Hydrogen in Austria for 2030. In Book of Abstracts: 9th International Conference on Smart Energy Systems (pp. 278-279).

Marx, et al. (2023)

Factsheet
title	Heat Highway - Heat Transmission Network Design Optimization and Robustness Analysis for a Case Study in Tyrol
project	Heat Highway
keywords	Future district heating, Waste heat sources, 4th generation DH, Heat transmission networks, Deterministic optimization, Monte Carlo simulation
abstract	The majority of district heating (DH) networks today are fueled by combustion processes based on fossil or biogenic fuels. For the decarbonization of DH networks various uncertainties regarding the future development of key factors, such as energy prices, need to be considered. Within the project “HeatHighway” a hypothetical inter-regional heat transfer network (HTN) in the region of the Inn valley in Tyrol, Austria was investigated.
citation	Marx, N. O., Schmidt, R. R., Blakcori, R., Maggauer, K., Strömer, S., & Forster, T. (2023). Heat Highway - Heat Transmission Network Design Optimization and Robustness Analysis for a Case Study in Tyrol. In Book of Abstracts: 9th International Conference on Smart Energy Systems (pp. 103-104).

Contributing

To contribute a new reference, either

fork the iesopt repository, and directly add to the above list, or
open an issue with the reference details.

See the template below for the structure of a reference.

Template

Please stick to APA format here, and always include a link as badge (if possible a DOI, if not other links are okay too).

### LastnameFirstAuthor, et al. (YYYY)

<span>
    <a href="doi-url-here" target="_blank"><img alt="Citation DOI" src="https://img.shields.io/badge/DOI-10.XXXX%2Fname.YYYY.ZZZZZZ-white?style=flat&labelColor=blue" style="display:inline; vertical-align:middle;"/></a>
    &nbsp;
    <a href="ait-pure-url-here" target="_blank"><img alt="Citation PURE" src="https://img.shields.io/badge/PURE-publications.ait.ac.at-white?style=social&labelColor=blue" style="display:inline; vertical-align:middle;"/></a>
</span>

| **Factsheet** |   |
|---------------|---|
| title         | put the full title here |
| project       | [Project (short) name](#references-projects-shortname) |
| keywords      | put all keywords here |
| abstract      | put the abstract here |
| citation      | put the APA styled citation here |

---

The project can be left out if not applicable. Otherwise it should refer to a proper project link target, that is set.

Creating citation badges

You can use shields.io to create badges, or use standardized ones that you already have (e.g., from Zenodo), otherwise stick to the ones provided in the template above (DOI and PURE).