Optimal Control Strategy for Mixed Fuel Use in a Renewable Polygeneration System

Luca Cimmino, Jimmy Burgos, Ursula Eicker

2023

Abstract

The proposed work aims to analyse an optimal control strategy applied to a polygeneration system based on a gasification unit, an anaerobic digester and an alkaline electrolyzer to meet the fuel demand of an internal combustion engine. The purpose of the studied system is to meet the electricity and thermal energy demand of several end-users. The focus of this paper is on the fuel management strategy for a 2 MW cogenerator used to meet both these demands for a hospital. In the proposed model, the fuel injected into the internal combustion engine is a mixture of gaseous flows produced by renewable energy systems. The mixture is first composed of biogas, produced by an anaerobic digester fed by organic urban wastes. Secondarily, hydrogen obtained from the electrolysis of water through a 2 MW alkaline cell is considered. In addition, syngas produced by a 1.7 MW allothermal downstream gasification unit is adopted with different gasifying agents considered, including oxygen produced by the alkaline electrolyzer. Results show that with the adopted strategy, the fuel energy demand is met by 15% by biogas, 3% by hydrogen, 45% by syngas using oxygen as gasifying agent and 37% by syngas using steam as gasifying agent.

Paper Citation

in Harvard Style

Cimmino L., Burgos J. and Eicker U. (2023). Optimal Control Strategy for Mixed Fuel Use in a Renewable Polygeneration System. In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-651-4, SciTePress, pages 70-78. DOI: 10.5220/0012000200003491

in Bibtex Style

@conference{smartgreens23,
author={Luca Cimmino and Jimmy Burgos and Ursula Eicker},
title={Optimal Control Strategy for Mixed Fuel Use in a Renewable Polygeneration System},
booktitle={Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2023},
pages={70-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012000200003491},
isbn={978-989-758-651-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Optimal Control Strategy for Mixed Fuel Use in a Renewable Polygeneration System
SN - 978-989-758-651-4
AU - Cimmino L.
AU - Burgos J.
AU - Eicker U.
PY - 2023
SP - 70
EP - 78
DO - 10.5220/0012000200003491
PB - SciTePress