Preprint

FZJ-2024-00943

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response

Germscheid, S.FZJ*RWTH* ; Nilges, B.RWTH* ; von der Assen, N.RWTH* ; Mitsos, A.FZJ*RWTH* ; Dahmen, M. (Corresponding author)FZJ*

2024
arXiv

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Please use a persistent id in citations: doi:10.48550/ARXIV.2401.12759  doi:10.34734/FZJ-2024-00943

Abstract: 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. Economic and ecologic process and battery operation are driven primarily by the electricity price and grid emission factor, respectively, rather than locally generated electricity. A parameter study reveals that economic savings from the local system and flexibilizing the process behave almost additive.

Keyword(s): Optimization and Control (math.OC) ; FOS: Mathematics

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Contributing Institute(s):

1. Modellierung von Energiesystemen (IEK-10)

Research Program(s):

1. 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112) (POF4-112)
2. HGF-ZT-I-0029 - Helmholtz UQ: Uncertainty Quantification - from data to reliable knowledge (HGF-ZT-I-0029) (HGF-ZT-I-0029)

Appears in the scientific report 2024

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Database coverage:

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