Natural Gas and Biogas Mixtures in Smart Cities: A Mathematical Model of Its Proposal for Use with Biogas Produced by Biomass Plants and Mixture Density Control According to the Biogas Composition

Jorge Luis Mírez Tarrillo () and J. C. Hernandez
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Jorge Luis Mírez Tarrillo: Group of Mathematical Modeling and Numerical Simulation, Faculty of Oil, Natural Gas and Petrochemical Engineering, Universidad Nacional de Ingeniería, Av. Tupac Amaru 210, Rimac 15333, Peru
J. C. Hernandez: Department of Electrical Engineering, University of Jaén, Campus Lagunillas s/n, Edificio A3, 23071 Jaén, Spain

Energies, 2025, vol. 18, issue 17, 1-19

Abstract: This article presents a proposal for blending natural gas and biogas with a control system with feedback to ensure a constant mixture density. To achieve this, we propose the following: a mathematical model to determine the gas density based on its composition; a control system whose main components are a gas mixer, valves, and a natural gas storage tank to regulate the biogas density, where its inputs are gases from biomass plants and the natural gas grid; mathematical models to calculate the volume of natural gas required in the storage tank. It is assumed that the composition at the outlet of the biogas plants is measured and that there are no losses of any kind; a case study simulation is then performed. All models consider random variation in gas composition over time. The main results are as follows: (a) reduced natural gas consumption, the promotion of biogas production and use and of mixtures of lower methane compared to natural gas, and the facilitation of the pumping of the gas mixtures; (b) all the biogas produced is used; (c) different piping, sources, storage tanks, consumers, and mixer schemes, considering the concepts of cities, microgrids, smart grids, and smart cities.

Keywords: natural gas; biogas; biomass; density; control system; renewable energy sources; green energy; sustainable development (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: 2025
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