Evaluation of the Energy Supply Options of a Manufacturing Plant by the Application of the P-Graph Framework

András Éles, László Halász, István Heckl and Heriberto Cabezas
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András Éles: Department of Computer Science and Systems Technology, University of Pannonia, 8200 Veszprém, Egyetem utca 10., Hungary
László Halász: Department of Computer Science and Systems Technology, University of Pannonia, 8200 Veszprém, Egyetem utca 10., Hungary
István Heckl: Department of Computer Science and Systems Technology, University of Pannonia, 8200 Veszprém, Egyetem utca 10., Hungary
Heriberto Cabezas: Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, 1088 Budapest, Szentkirályi utca 28., Hungary

Energies, 2019, vol. 12, issue 8, 1-24

Abstract: Industrial applications nowadays are facing the complexity of the problem of finding an optimal energy supply composition. Heating and electricity needs vary throughout a year and need to be addressed. There is usually power available from the market, but a company has other investment options to consider, such as solar power, or utilization of local biomass. Fixed and proportional investment and operational costs must be compared to long-term cost-efficiency. The P-Graph framework is an effective tool in the design and synthesis of process networks, and is capable of showing optimal decisions. In the present work, a new P-Graph model was implemented to address the synthesis of the energy supply options of a manufacturing plant in Hungary. Compared to the original approach, a multi-periodic scheme was applied for heating and electricity demands. Also, the pelletizer and biogas plant investments are modeled in the P-Graph with a new technique that better reflects equipment capacities and flexible input ratios. The best solutions in this case study in terms of total costs are listed. It can be concluded that a long-term investment horizon is needed for the incorporation of sustainable energy sources into the system to be cost-efficient.

Keywords: P-Graph framework; process network synthesis; multi-periodic model; optimization; energy efficiency; sustainability; biomass (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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