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A function-based approach to stock modelling applied to compressed air systems
Panel: 4. Undertaking high impact actions: The role of technology and systems optimisation
This is a peer-reviewed paper.
Authors:
Simon Hirzel, Fraunhofer ISI, Germany
Patrick Plötz, Fraunhofer Institute for Systems and Innovation Research ISI, Germany
Benjamin Obergföll, Fraunhofer Institute for Systems and Innovation Research ISI, Germany
Abstract
Achieving current EU energy targets will require substantial improvements in energy efficiency across a broad range of industrial end-uses. While compressed air systems are important contributors to overall industrial electricity demand, substantial energy-efficiency potentials have been identified in the past. Various policy measures can be designed to exploit these saving potentials. Yet when efficiency improvements depend on replacing existing equipment, the impact of policy measures depends not only on their design, but also on the structure of the addressed end-uses. Stock models may serve to provide quantitative data regarding the impact of different policy measures on energy demand. But data availability is often a limiting factor for using stock models, as information about production, age, operating conditions and thus the structure of the energy demand of specific end-uses is often only available to a limited extent.
In this paper, we therefore suggest a “function-based” bottom-up stock model approach. The basic idea of this modelling approach is to use both proxy functions to fit available data and to use expert estimations on functional parameters where little data is available. To a certain extent, this is common practice for some variables (e.g. for lifetimes), but we suggest to extend this idea to other energy-relevant characteristics. The advantage of this modelling approach is to provide detailed results with only a limited number of assumptions that can be stated in a very transparent manner. It thus can also improve the understanding of energy demand and help to evaluate the impact of policy measures. We apply this approach to a case study on compressed air systems in the EU in order to illustrate its benefits.
Note
The equations on pages 585 and 587 were incorrect in the printed and interactive versions. They have been corrected here.
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Panels of
1. Programmes to promote industrial energy efficiency
2. Sustainable production design and supply chain initiatives
3. Matching policies and drivers: Policies and Directives to drive industrial efficiency
4. Undertaking high impact actions: The role of technology and systems optimisation
5. The role of energy management systems, education, outreach and training
6. The role of financing to improve industrial efficiency, global perspective