Éles, A.; Heckl, I.; Cabezas, H. Modeling of a Biomass-Based Energy Production Case Study Using Flexible Inputs with the P-Graph Framework. Energies2024, 17, 687.
Éles, A.; Heckl, I.; Cabezas, H. Modeling of a Biomass-Based Energy Production Case Study Using Flexible Inputs with the P-Graph Framework. Energies 2024, 17, 687.
Éles, A.; Heckl, I.; Cabezas, H. Modeling of a Biomass-Based Energy Production Case Study Using Flexible Inputs with the P-Graph Framework. Energies2024, 17, 687.
Éles, A.; Heckl, I.; Cabezas, H. Modeling of a Biomass-Based Energy Production Case Study Using Flexible Inputs with the P-Graph Framework. Energies 2024, 17, 687.
Abstract
In this work, a modeling technique utilizing the P-Graph framework was used for a case 1
study involving biomass-based local energy production. In recent years, distributed energy systems 2
gained attention. These systems aim at satisfying energy supply demands, supporting the local 3
economy, decreasing transportation needs and dependence on imports, and in general obtaining a 4
more sustainable energy production process. Designing such systems is a challenge, for which novel 5
optimization approaches were developed to help decision-making. Previous work used the P-Graph 6
framework to optimize energy production in a small rural area, involving manure, intercrops, grass, 7
and corn silage as inputs, and fermenters. Biogas is produced in fermenters, and Combined Heat 8
and Power (CHP) plants provide heat and electricity. A more recent result introduced the concept of 9
operations with flexible inputs in the P-Graph framework. In this work, the concept of flexible inputs 10
was applied to model fermenters in the original case study. A new implementation of the original 11
decision problem was made both as a Mixed-Integer Linear Programming (MILP) model and as a 12
purely P-Graph model by using the flexible input technique. Both approaches provided the same 13
optimal solution, with a 31% larger profit than originally reported.
Keywords
P-Graph framework; Flexible inputs; Mixed-Integer Linear Programming; Biomass; 15 Sustainability
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
