Journal Article

FZJ-2019-03894

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

Kannengießer, T. (Corresponding author)FZJ* ; Hoffmann, M.FZJ* ; Kotzur, L.FZJ* ; Stenzel, P.FZJ* ; Schuetz, F. ; Peters, K. ; Nykamp, S. ; Stolten, D.FZJ* ; Robinius, M.FZJ*

2019
MDPI Basel

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Please use a persistent id in citations: http://hdl.handle.net/2128/22532  doi:10.3390/en12142825

Abstract: The complexity of Mixed-Integer Linear Programs (MILPs) increases with the number of nodes in energy system models. An increasing complexity constitutes a high computational load that can limit the scale of the energy system model. Hence, methods are sought to reduce this complexity. In this paper, we present a new 2-Level Approach to MILP energy system models that determines the system design through a combination of continuous and discrete decisions. On the first level, data reduction methods are used to determine the discrete design decisions in a simplified solution space. Those decisions are then fixed, and on the second level the full dataset is used to ex-tract the exact scaling of the chosen technologies. The performance of the new 2-Level Approach is evaluated for a case study of an urban energy system with six buildings and an island system based on a high share of renewable energy technologies. The results of the studies show a high accuracy with respect to the total annual costs, chosen system structure, installed capacities and peak load with the 2-Level Approach compared to the results of a single level optimization. The computational load is thereby reduced by more than one order of magnitude

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Contributing Institute(s):

1. Technoökonomische Systemanalyse (IEK-3)

Research Program(s):

1. 134 - Electrolysis and Hydrogen (POF3-134) (POF3-134)
2. ES2050 - Energie Sytem 2050 (ES2050) (ES2050)

Appears in the scientific report 2019

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DOAJ Seal ; Ebsco Academic Search ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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