2017
DOI: 10.1007/s12053-017-9571-y
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A bottom-up estimation of the heating and cooling demand in European industry

Abstract: Energy balances are usually aggregated at the level of subsector and energy carrier. While heating and cooling accounts for half the energy demand of the European Union’s 28 member states plus Norway, Switzerland and Iceland (EU28 + 3), currently, there are no end-use balances that match Eurostat’s energy balance for the industrial sector. Here, we present a methodology to disaggregate Eurostat’s energy balance for the industrial sector. Doing so, we add the dimensions of temperature level and end-use. The res… Show more

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Cited by 81 publications
(58 citation statements)
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“…The modelling of individual users considers the end purpose of heat demand. Inspired from [31] and [32], heat demand modelling in industry is based on temperature needs.…”
Section: Heat Sectormentioning
confidence: 99%
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“…The modelling of individual users considers the end purpose of heat demand. Inspired from [31] and [32], heat demand modelling in industry is based on temperature needs.…”
Section: Heat Sectormentioning
confidence: 99%
“…Specific data for the industry sector. Time series for the different heat processes and space-heating demand are taken from [80], whereas annual demand and remaining industrial data are based on data from [32]. The national heat demand split across regions is based on the electricity demand shares.…”
Section: Biofuelsmentioning
confidence: 99%
“…Several studies conclude that lack of data for industrial process heating demands is a constraining factor in studies of industrial energy systems. For example, Rehfeldt et al 47 argue in their introduction that there is a need for more detailed (less aggregated) data for industrial energy end-use. Brueckner et al 9 conclude in their review of methods for estimation of industrial waste heat potentials that "lack of data is a very huge obstacle to the quantification and usage of the industrial waste heat," and Naegler et al 48 conclude that "A serious obstacle in this study is the difficulty to obtain reliable, up-todate data for energy usage and PH [process heating] temperature levels on a national and industry branch level.…”
Section: Discussionmentioning
confidence: 99%
“…(1) Measure identification number (2) Electricity change 3Fuel change (4) Application factor (5) Lifetime (6) Investment (7) Fixed operating costs (8) Measure category (9) Substitution process of process route change (10) CO 2 -capture rate (11) Identification number of process or cross-section on which the measure has an effect (12) Initial year measure implementation (13) End year measure implementation (14) Economic branch name, on which the measure has an effect (15) Process name on which the measure has an effect (16) Identification number substitution process of process route change (17) Identification number economic branch (18) Natural replacement rate (19) Function of replacement rate (20) Static GHG abatement costs (21) Annuity measure investment (22) Non-annuity fixed operating costs (23) Annuity measure costs (24) Yearly measure implementation amount (25) Cumulated measure implementation amount (26) Energy carrier change reference (27) Energy carrier change substitution…”
Section: Fundingmentioning
confidence: 99%
“…The full implementation of generic energy efficiency measures is determined by Equations (19) and (20). The measure potential is included in the reference scenario on the basis of the already implemented measures, the lifetime and the limited measure potential due to the already increased efficiency:…”
mentioning
confidence: 99%