Spatiotemporal analysis of industrial excess heat supply for district heat networks in Switzerland

Industrial Excess Heat (IEH) is an underutilised resource which could contribute to decarbonising the heat supply. It is particularly well suited for supplying district heat networks (DHN), thereby enabling the capture and distribution of excess energy from industries and incineration plants. However, as heat cannot be readily transported over long distances, there is a need to analyse the balance of supply and demand over time taking into account the geospatial constraints placed on the linking of IEH supplies and DHN demands. This work presents an analysis of the potential for the supply of DHN systems using high and low network temperatures by IEH in Switzerland. A spatial clustering method is used to link potential supplies and demands, and monthly supply and demand curves are used to calculate the potential for IEH supply subject to spatiotemporal constraints. A further analysis deals with the technical potential for seasonal storage to shift surplus IEH energy from summer to winter. A total resource of 12TWh/y of IEH was found, but spatial and temporal constraints limited its utilisation to between 7.7TWh/y and 10.5TWh/y depending the scenario considered. 17.4% of total heat demand could be supplied by IEH using low temperature DHN and seasonal storage.

[1]  Brian Vad Mathiesen,et al.  Heat Roadmap Europe: Large-Scale Electric Heat Pumps in District Heating Systems , 2017 .

[2]  Steven Beyerlein,et al.  Review of district heating and cooling systems for a sustainable future , 2017 .

[3]  M. Börjesson,et al.  FYSS (physical activity book for prevention and treatment): behavioural change also for the physician? , 2013, British Journal of Sports Medicine.

[4]  Daniel Castro-Fresno,et al.  Review of seasonal heat storage in large basins: Water tanks and gravel–water pits , 2010 .

[5]  Bjarne W. Olesen,et al.  Thermal energy storage—A review of concepts and systems for heating and cooling applications in buildings: Part 1—Seasonal storage in the ground , 2012, HVAC&R Research.

[6]  Luisa F. Cabeza,et al.  Thermal energy storage (TES) for industrial waste heat (IWH) recovery: A review , 2016 .

[7]  Bill Wong,et al.  The Performance of a High Solar Fraction Seasonal Storage District Heating System – Five Years of Operation☆ , 2012 .

[8]  Peter H. N. de With,et al.  MPEG-2 compliant trick play over a digital interface , 2005, IEEE Transactions on Consumer Electronics.

[9]  Stefan Schneider,et al.  Spatial–Temporal Analysis of the Heat and Electricity Demand of the Swiss Building Stock , 2017, Front. Built Environ..

[10]  Pierre Hollmuller,et al.  Geo-dependent heat demand model of the Swiss building stock: method, results and example of application , 2016 .

[11]  Martin Kumar Patel,et al.  Techno-economic potential of large-scale energy retrofit in the Swiss residential building stock , 2017 .

[12]  D. Mangold,et al.  Seasonal Thermal Energy Storage in Germany , 2004 .

[13]  Brian Vad Mathiesen,et al.  Energy Storage and Smart Energy Systems , 2016 .

[14]  Martin Kumar Patel,et al.  Strategies for decarbonising the Swiss heating system , 2019, Energy.

[15]  Marc A. Rosen,et al.  Assessment of the Thermal Energy Storage in Friedrichshafen District Energy Systems , 2017 .

[16]  Qi Zhang,et al.  Capturing the invisible resource: Analysis of waste heat potential in Chinese industry , 2016 .

[17]  Neven Duić,et al.  A hybrid optimization model of biomass trigeneration system combined with pit thermal energy storage. , 2015 .

[18]  Clemens Forman,et al.  Estimating the global waste heat potential , 2016 .

[19]  Bernd Möller,et al.  Heat Roadmap Europe: Identifying local heat demand and supply areas with a European thermal atlas , 2018, Energy.

[20]  Sven Werner,et al.  Thermal energy storage systems for district heating and cooling , 2021, Advances in Thermal Energy Storage Systems.

[21]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[22]  Martin K. Patel,et al.  Excess heat recovery: An invisible energy resource for the Swiss industry sector , 2018, Applied Energy.

[23]  H. Müller-Steinhagen,et al.  Central solar heating plants with seasonal storage in Germany , 2004 .

[24]  Jan-Olof Dalenbäck,et al.  Swedish solar heated residential area with seasonal storage in rock : Initial evaluation , 2008 .

[25]  Sven Werner,et al.  Heat Roadmap Europe: Identifying strategic heat synergy regions , 2014 .

[26]  Patrick Lauenburg,et al.  Prosumers in district heating networks – A Swedish case study , 2016 .

[27]  Martin K. Patel,et al.  Mapping district heating potential under evolving thermal demand scenarios and technologies: A case study for Switzerland , 2019, Energy.

[28]  D V H SMITH,et al.  District Heating , 1950, Journal. Royal Sanitary Institute.

[29]  Bernd Möller,et al.  Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system , 2014 .

[30]  Martin Kumar Patel,et al.  Assessment of the current thermal performance level of the Swiss residential building stock: Statistical analysis of energy performance certificates , 2018, Energy and Buildings.

[31]  Jukka Manner,et al.  Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks , 2017 .

[32]  Frances M. T. Brazier,et al.  Understanding spatio-temporal electricity demand at different urban scales: A data-driven approach , 2018 .

[33]  Aric Hagberg,et al.  Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.

[34]  Yi Jiang,et al.  Industrial waste heat utilization for low temperature district heating , 2013 .

[35]  Jibran S. Zuberi,et al.  The evolution of energy efficiency in Switzerland in the period 2000–2016 , 2020 .

[36]  Ruzhu Wang,et al.  A review of available technologies for seasonal thermal energy storage , 2014 .

[37]  Thomas Nussbaumer,et al.  Influence of system design on heat distribution costs in district heating , 2016 .