MCBioCH4: a computational model for biogas and biomethane evaluation

The production and use of biogas and biomethane by anaerobic digestion is part of the needed energy transition and it is achieving a growing interest in Europe. The planning and design of biogas/biomethane solutions necessitates the support of modelling tools for the calculation and evaluation of mass, energy and emission flows originated by different process and technological configurations. In the present paper, a model for the preliminary evaluation of biogas and biomethane systems is presented. The model (named MCBioCH4) focuses on triple target: i) obtaining information about the productivity of biogas/biomethane plants regarding achievable gas flow rates; ii) acquiring the plant energy expenditure and subsequently the economically exploitable energy flow shares and iii) accounting the whole environmental impact of the system. The design of MCBioCH4 was specifically addressed to a dual objective: i) provide support to the preliminary assessment and comparison of different potential plant configurations and technological solutions, and ii) assist users in the complete definition of mass, energy and environmental flows, through the implementation of default datasets and an assisted data input. The model results a standalone application fully equipped with graphical user interfaces. A set of default parameters was implemented in MCBioCH4, based on a detailed literature review. Alternatively, customized input parameters may be introduced by the user. If biogas scenarios are selected, the model simulates a combustion in a cogeneration unit. If biomethane scenarios are selected, the user is allowed to define the type and features of the upgrading technology. Two different options are implemented for biomethane: injection to the natural gas distribution grid, or use as a transports fuel. The emission of equivalent carbon dioxide associated to each phase of the process is estimated by the model, based on a cradle-to-grave approach. Default emission factors are implemented, or these can be customized by the user. MCBioCH4 was tested on a case study in Italy. It results a valuable support to project developers and administrations in defining the most economically and environmentally sustainable plant configurations.