To mitigate the ongoing progress of climate change, the European Commission announced in the European Green Deal to reduce greenhouse gas emissions by 55% until 2030 compared to the reference year 1990 and to achieve climate neutrality by 2050 [1]. In this context, the industry in particular faces environmental challenges due to its high energy demand. To achieve the objective of becoming climate-neutral, increasing the energy and resource efficiency in the industry is crucial, because a large proportion of the greenhouse gases released are emitted during the provision of energy. In the automotive industry, paint shops are among the most energy-intensive processes and have great potentials for efficiency measures. These potentials can be identified with the assistance of energy or CO2 balancing methods. This publication presents a tool to analyse the energy efficiency potentials of automotive paint shops. The approach offers the possibility to parameterize different painting processes and their sub-processes. After defining the process requirements, a thermodynamic and process engineering simulation of the individual process steps enables the identification of potentials for energy and resource savings and CO2 reduction in existing or planned painting processes. In a validation on a real reference scenario, the simulated CO2 emissions of a paint shop were reduced by up to 24%.
CITATION STYLE
Wendt, J., Weyand, A., Barmbold, B., & Weigold, M. (2023). Approach for Design of Low Carbon Footprint Paint Shops in the Automotive Industry. In Lecture Notes in Mechanical Engineering (pp. 490–498). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28839-5_55
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