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Ms. Pia Manz
Fraunhofer Institute for Systems and Innovation Research

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Research Keywords & Expertise

0 District Heating
0 Energy Systems Analysis
0 Regional modeling
0 Energy System Modeling and Optimization
0 Excess Heat

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Journal article
Published: 29 January 2021 in Sustainability
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Energy-intensive industries across the EU-28 release unused heat into the environment. This excess heat can be utilized for district heating systems. However, this is the exception today, and the potential contribution to the decarbonization of district heating is not well quantified. An estimation of excess heat, based on industrial processes, and spatial matching to district heating areas is necessary. We present a georeferenced industrial database with annual production and excess heat potentials at different temperature levels matched with current and possible district heating areas. Our results show a total potential of 960 PJ/a (267 TWh/a) of excess heat when the exhaust gases are cooled down to 25 °C, with 47% of the 1.608 studied industrial sites inside or within a 10 km distance of district heating areas. The calculated potentials reveal that currently 230 PJ/a (64 TWh/a) of excess heat is available for district heating areas, about 17% of today's demand of buildings for district heating. In the future, widespread and low-temperature district heating areas increase the available excess heat to 258 PJ/a (72 TWh/a) at 55°C or 679 PJ/a (189 TWh/a) at 25°C. We show that industrial excess heat can substantially contribute to decarbonize district heating, however, the major share of heat will need to be supplied by renewables.

ACS Style

Pia Manz; Katerina Kermeli; Urban Persson; Marius Neuwirth; Tobias Fleiter; Wina Crijns-Graus. Decarbonizing District Heating in EU-27 + UK: How Much Excess Heat is Available from Industrial Sites? Sustainability 2021, 13, 1439 .

AMA Style

Pia Manz, Katerina Kermeli, Urban Persson, Marius Neuwirth, Tobias Fleiter, Wina Crijns-Graus. Decarbonizing District Heating in EU-27 + UK: How Much Excess Heat is Available from Industrial Sites? Sustainability. 2021; 13 (3):1439.

Chicago/Turabian Style

Pia Manz; Katerina Kermeli; Urban Persson; Marius Neuwirth; Tobias Fleiter; Wina Crijns-Graus. 2021. "Decarbonizing District Heating in EU-27 + UK: How Much Excess Heat is Available from Industrial Sites?" Sustainability 13, no. 3: 1439.

Journal article
Published: 12 August 2020 in Energies
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In Germany, the political decision to phase out nuclear and coal-fired power as well as delays in the planned grid extension are expected to intensify the current issue of high grid congestion volumes. In this article, we investigate two instruments which may help to cope with these challenges: market splitting and the introduction of a capacity mechanism. For this purpose, we carry out a comprehensive system analysis by jointly applying the demand side models FORECAST and eLOAD, the electricity market model PowerACE and the optimal power flow model ELMOD. While a German market splitting has a positive short-term impact on the congestion volumes, we find the optimal zonal delimination determined for 2020 to become outdated by 2035 resulting in new grid bottlenecks. Yet, readjusting the zonal configuration would lower the ability of the market split to provide regional investment incentives. Introducing a capacity mechanism with a congestion indicator allows allocating new power plants in regions with higher electricity demand. Consequently, we find the required congestion management to be substantially reduced in this setting. However, given the large amount of design parameters, any capacity mechanism needs to be carefully planned before its introduction to avoid new inefficiences on the market side.

ACS Style

Dirk Hladik; Christoph Fraunholz; Matthias Kühnbach; Pia Manz; Robert Kunze. Insights on Germany’s Future Congestion Management from a Multi-Model Approach. Energies 2020, 13, 4176 .

AMA Style

Dirk Hladik, Christoph Fraunholz, Matthias Kühnbach, Pia Manz, Robert Kunze. Insights on Germany’s Future Congestion Management from a Multi-Model Approach. Energies. 2020; 13 (16):4176.

Chicago/Turabian Style

Dirk Hladik; Christoph Fraunholz; Matthias Kühnbach; Pia Manz; Robert Kunze. 2020. "Insights on Germany’s Future Congestion Management from a Multi-Model Approach." Energies 13, no. 16: 4176.

Journal article
Published: 06 October 2018 in Energy Strategy Reviews
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Bottom-up energy models can support strategic decision-making and can help to manage an efficient transition to a low-carbon energy system. The manufacturing industry accounted for about 19% of EU-wide greenhouse gas emissions in 2014, which underlines the importance of this sector for model-based decarbonisation assessments. This paper describes the methodology of the FORECAST model. FORECAST is a bottom-up simulation model used to develop long-term scenarios for the future energy demand of industry, services and household sectors. In this study, we discuss the model in the light of developing transition scenarios for the decarbonisation of the industry sector. In doing so, we focus on the model's structure and simulation algorithms, and provide illustrative results. The FORECAST model includes a broad range of mitigation options combined with a high level of technological detail. Technology diffusion and stock turnover are explicitly considered to allow insights into transition pathways. The model further includes different policy levers to improve its applicability as a policy support tool. The model is designed to cover the entire industry sector from major energy-intensive processes to the numerous less energy-intensive sub-sectors and applications. The concluding discussion suggests future research directions to improve the contribution industry sector models can make to supporting the industrial energy transition.

ACS Style

Tobias Fleiter; Matthias Rehfeldt; Andrea Herbst; Rainer Elsland; Anna-Lena Klingler; Pia Manz; Stefan Eidelloth. A methodology for bottom-up modelling of energy transitions in the industry sector: The FORECAST model. Energy Strategy Reviews 2018, 22, 237 -254.

AMA Style

Tobias Fleiter, Matthias Rehfeldt, Andrea Herbst, Rainer Elsland, Anna-Lena Klingler, Pia Manz, Stefan Eidelloth. A methodology for bottom-up modelling of energy transitions in the industry sector: The FORECAST model. Energy Strategy Reviews. 2018; 22 ():237-254.

Chicago/Turabian Style

Tobias Fleiter; Matthias Rehfeldt; Andrea Herbst; Rainer Elsland; Anna-Lena Klingler; Pia Manz; Stefan Eidelloth. 2018. "A methodology for bottom-up modelling of energy transitions in the industry sector: The FORECAST model." Energy Strategy Reviews 22, no. : 237-254.