Journal
RENEWABLE ENERGY
Volume 173, Issue -, Pages 12-23Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.03.124
Keywords
Biogas; Food waste; Optimisation; Uncertainty; Renewable gas
Funding
- Slovenia Croatia bilateral project Interdisciplinary Research on Variable Renewable Energy Source and Biomass in Clean and Circular Economy (BIOVARES)
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This study evaluates the integration of the power-to-gas concept into a food waste-based biogas plant to produce renewable methane. It was found that installing wind and photovoltaic equipment, along with importing additional electricity from the grid, is necessary for producing renewable methane in this integration. Economic analysis revealed that the feedstock gate fee significantly influences the economic viability of producing renewable methane.
Biogas is an instrument of synergy between responsible waste management and renewable energy production in the overall transition to sustainability. The aim of this research is to assess the integration of the power-to-gas concept into a food waste-based biogas plant with the goal to produce renewable methane. A robust optimisation was studied, using linear programming with the objective of minimising total costs, while considering the market price of electricity. The mathematical model was tested at an existing biogas power plant with the installed capacity of 1 MWel. It was determined that the integration of power-to-gas in this biogas plant requires the installation of ca. 18 MWel of wind and 9 MWel of photovoltaics, while importing an additional ca. 16 GWh(el) from the grid to produce 36 GWh of renewable methane. The economic analysis showed that the feedstock gate fee contributes significantly to the economic viability of renewable methane: a change in the feedstock gate fee by 100 (sic)/tonne results in a decrease of production costs by ca. 20-60%. The robust nature of the model showed that uncertainties related to electricity production from wind and photovoltaics at the location increased the cost of gas production by ca. 10-30%. (C) 2021 Elsevier Ltd. All rights reserved.
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