
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Assessing the Realizable Flexibility Potential of Electrochemical Processes

Demand response is a viable concept to deal with and benefit from fluctuating electricity prices and is of growing interest to the electrochemical industry. To assess the flexibility potential of such processes, a generic, interdisciplinary methodology is required. We propose such a methodology, in which the electrochemical fundamentals and the theoretical potential are determined first by analyzing strengths, weaknesses, opportunities, and threats. Afterward, experiments are conducted to determine selectivity and yield under varying loads and to assess the additional long-term costs associated with flexible operation. An industrial-scale electrochemical process is assessed regarding its technical, economic, and practical potential. The required steps include a flow sheet analysis, the formulation and solution of a simplified model for operation scheduling under various business options, and a dynamic optimization based on rigorous, dynamic process models. We apply the methodology to three electrochemical processes of different technology readiness levels—the syntheses of hydrogen peroxide, adiponitrile, and 1,2-dichloroethane via chloralkali electrolysis—to illustrate the individual steps of the proposed methodology.
- Technical University of Berlin Germany
- Technical University of Berlin Germany
operation scheduling, additional long, varying loads, assessed regarding, various business options, Biochemistry, determined first, electrochemical fundamentals, practical potential, Ecology, dynamic process models, scale electrochemical process, realizable flexibility potential, flexibility, Mental Health, Infectious Diseases, 540 Chemie und zugeordnete Wissenschaften, dynamic optimization based, three electrochemical processes, individual steps, fluctuating electricity prices, Biotechnology, electrochemical industry, animal feed, term costs associated, Immunology, Information Systems not elsewhere classified, Biophysics, analyzing strengths, hydrogen peroxide, growing interest, physical and chemical processes, required steps include, flexible operation, 660, flow sheet analysis, Computational Biology, viable concept, Cell Biology, stability, simplified model, theoretical potential, determine selectivity, separation science, flexibility potential, ddc: ddc:540
operation scheduling, additional long, varying loads, assessed regarding, various business options, Biochemistry, determined first, electrochemical fundamentals, practical potential, Ecology, dynamic process models, scale electrochemical process, realizable flexibility potential, flexibility, Mental Health, Infectious Diseases, 540 Chemie und zugeordnete Wissenschaften, dynamic optimization based, three electrochemical processes, individual steps, fluctuating electricity prices, Biotechnology, electrochemical industry, animal feed, term costs associated, Immunology, Information Systems not elsewhere classified, Biophysics, analyzing strengths, hydrogen peroxide, growing interest, physical and chemical processes, required steps include, flexible operation, 660, flow sheet analysis, Computational Biology, viable concept, Cell Biology, stability, simplified model, theoretical potential, determine selectivity, separation science, flexibility potential, ddc: ddc:540
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).16 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
