Technical and economic data of renewable heat supply systems for different heat sub-sectors.

Published: 2 Aug 2019 | Version 1 | DOI: 10.17632/v2c93n28rj.1
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Description of this data

German heat supply market was differentiated into 19 heat sub-sectors with a total number of 49 different heat supply systems with a focus on renewable options including biomass utilization.
The data set was created as input data for a numerical modelling of the heat supply between 2015 and 2050 with a special focus on bioenergy utilization and reduction of GHG emissions in the heating sector. For more information about the objectives, the method and results of the modelling see Matthias Jordan, Volker Lenz, Markus Millinger, Katja Oehmichen, Daniela Thrän: Future competitive bioenergy technologies in the German heat sector: Findings from an economic optimization approach.
Each heat sub-sector is representing a cluster of buildings or heat utilizations with equal heat demand according to temperature level, nominal power demand, relation between domestic hot water and heating of the building. 14 of the 19 heat sub-sectors deal with the heat provision for buildings. Here, the input data about the standardized average buildings are very detailed and the described heat supply systems are quite detailed and specified.
All measures of a centralized heat supply via heating grids are summed up in only one heat sub-sector. Therefore, the description of the market is only very general and the compared technological systems are not very detailed and comparable to real solutions. This sub-market is only used to calculate an overall estimation of the uptake of biomass in this market.
Furthermore, the four industrial heat sub-sectors are strongly generalized and the described technological systems are only some possible examples of the variety of possible concepts which allow a rough estimation of the biomass allocation in these markets.
For all heat sub-sectors at least one fossil representative technological concept is integrated – in most cases based on gas. This technology is also representing all the other fossil heat supply concepts, i.e. no oil boilers are described. In addition, at least one renewable technology not using biomass is integrated (e.g. heat pump). However, the main focus is on biomass solutions in different systems as full supply technology or as combined solution with other renewables.
All systems were pre-selected by experience and pre-calculations according to the sub-sector to avoid too long calculation times for the model.
All data sets describe annual efficiencies, live time expectations, investment and installation costs, power demand as well as increasing efficiency and decreasing costs over time.
PV systems are sized according to the annual power demand of the utilized heat pumps. According to the total power demand of the building including the heating system a factor is calculated describing the part of the directly used power production. The rest is fed into the grid and afterwards taken from the grid according to the demand of the heat pump.

Experiment data files

Steps to reproduce

Data is created by a market review of products, own experiences in research projects and experiences from other projects with descriptions of fitting technologies.
Status of the data is 2018, with some technologies showing very rapid changes in the market. Therefore, some of the data could very quickly lose their relevance.
Data are average values with sometimes quite large value areas on the market depending on producer and technological specifications. It is attempted to have corresponding price and technological data for the different technologies with the same basic year.

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  • Version 1

    2019-08-02

    Published: 2019-08-02

    DOI: 10.17632/v2c93n28rj.1

    Cite this dataset

    Lenz, Volker; Jordan, Matthias (2019), “Technical and economic data of renewable heat supply systems for different heat sub-sectors.”, Mendeley Data, v1 http://dx.doi.org/10.17632/v2c93n28rj.1

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Institutions

Deutsches Biomasseforschungszentrum gGmbH

Categories

Bioenergy, Technical-Economic Modeling

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