Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions
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In: Energy Volume 146 / (2017-05-10) , S. 112-123; EISSN 0360-5442
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This study focuses on analysing the most energy efficient utility system supply structure in terms of carbon emissions, primary energy efficiency and energy costs. In the German food processing industry, the state-of-the-art technologies in the utility supply structure are a gas fired steam boiler for steam generation and ammonia chillers for chilled water generation. Low investment costs and its durability are attractive for industrial production sites. But, given the ongoing energy transition to renewable energy, opportunities to reduce emissions will become increasingly important. There are other energy supply options, such as Combined Heat and Power and Heat Pumps, that need to compete against the conventional energy supply systems. In the short-term, countries with presently high electricity Grid Emissions Factors (GEF) such as Germany and the USA, the use of decentralised CHP results in savings of primary energy and emissions. This option is less attractive for countries with already low GEF such as Norway. It is also less attractive in the long-term for countries like Germany as the on-going energy transition towards renewables is anticipated to decrease the current GEF by 50% in 2030. In these cases of low GEF, HP solutions provide the lowest emissions and highest primary energy efficiency.
@article{doi:10.17170/kobra-202101273070, author ={Philipp, Matthias and Schumm, Gregor and Peesel, Ron-Hendrik and Walmsley, Timothy Gordon and Atkins, Martin John and Schlosser, Florian and Hesselbach, Jens}, title ={Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions}, keywords ={333 and 600 and Energiewende and Kraft-Wärme-Kopplung and Wärmepumpe and Treibhausgas and Primärenergie and Energieeffizienz}, copyright ={http://creativecommons.org/licenses/by-nc-nd/4.0/}, language ={en}, journal ={Energy}, year ={2017-05-10} }