| Title |
How to make energy flexibility business models work - the case for integration into existing ERP systems |
| ID_Doc |
73616 |
| Authors |
Stange, M; Münnich, M; Bielitz, P; Reichelt, D |
| Title |
How to make energy flexibility business models work - the case for integration into existing ERP systems |
| Year |
2022 |
| Published |
|
| DOI |
10.1109/ETFA52439.2022.9921467 |
| Abstract |
Companies are facing increasing pressure to optimize their energy supply. On the one hand, rising procurement costs are a factor - driven by a shortage of raw materials and legal regulations aimed at minimizing greenhouse gas emissions (e.g., CO2 pricing), with the current geopolitical situation also increasingly fuelling the pressure to act. On the other hand, the optimization of energy supply also serves the purpose of meeting the requirements of customers and society for sustainable production. One field of action that is still in its infancy in practical use is the exploitation of energy flexibility potential in discrete manufacturing. This is not least because tools for exploiting energy flexibility potentials (e.g., taking advantage of fluctuating prices on short-term electricity markets, providing system services on the balancing energy markets, or increasing the share of self-consumption from on-site generated renewable energy have so far tended to represent stand-alone solutions that have not yet been implemented in conventional ERP or MES systems.) This paper aims to provide an insight into potential business models for the use of energy flexibility in discrete production, to assess the market potential for this and to show why integration into existing systems across all levels of automation is essential. |
| Author Keywords |
energy; flexibility; ERP; MES; automation; business model; value proposition |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000934103900045 |
| WoS Category |
Automation & Control Systems; Engineering, Industrial; Engineering, Manufacturing |
| Research Area |
Automation & Control Systems; Engineering |
| PDF |
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