Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866909129291857920 |
|---|---|
| author | Germscheid, Sonja H. M. Nilges, Benedikt von der Assen, Niklas Mitsos, Alexander Dahmen, Manuel |
| author_facet | Germscheid, Sonja H. M. Nilges, Benedikt von der Assen, Niklas Mitsos, Alexander Dahmen, Manuel |
| contents | This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity generation and storage system with an integrated demand response scheduling of a continuous power-intensive production process in a multi-stage problem. We optimize both total annualized cost and global warming impact and consider local photovoltaic and wind electricity generation, an electric battery, and electricity trading on day-ahead and intraday market. We find that installing a battery can reduce emissions and enable large trading volumes on the electricity markets, but significantly increases cost. Economically and ecologically-optimal operation of the process and battery are driven primarily by the electricity price and grid emission factor, respectively, rather than locally generated electricity. A parameter study reveals that cost savings from the local system and flexibilizing the process behave almost additively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_12759 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response Germscheid, Sonja H. M. Nilges, Benedikt von der Assen, Niklas Mitsos, Alexander Dahmen, Manuel Optimization and Control This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity generation and storage system with an integrated demand response scheduling of a continuous power-intensive production process in a multi-stage problem. We optimize both total annualized cost and global warming impact and consider local photovoltaic and wind electricity generation, an electric battery, and electricity trading on day-ahead and intraday market. We find that installing a battery can reduce emissions and enable large trading volumes on the electricity markets, but significantly increases cost. Economically and ecologically-optimal operation of the process and battery are driven primarily by the electricity price and grid emission factor, respectively, rather than locally generated electricity. A parameter study reveals that cost savings from the local system and flexibilizing the process behave almost additively. |
| title | Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2401.12759 |