Recycling of straw-biochar-biogas-electricity for sustainable food production pathways: Toward an integrated modeling approach.

As global greenhouse gas emissions increase and fossil energy sources decline dramatically, the energy transition is at the heart of many countries' development initiatives. As a biomass resource, straw plays a positive role in energy transformation and environmental improvement. However, there is still a challenge to explore the best options and models for straw production and utilization of green and efficient biomass energy in agricultural systems. This study establishes an economic-environmental-resource synergistic Straw Green recycling optimization model based on straw-electricity-biochar-biogas core (Straw Green recycling optimization model, SGROM). Firstly, we explore the effects of biochar return to the field on crop yield and greenhouse gas emission by Meta-analysis method, and on this basis, we construct SGROM to weigh the three objectives of economic-greenhouse gas emission-resource utilization, and explore the best allocation ratio between four utilization methods of straw: power generation, biochar preparation, biogas and derivatives preparation and sale, so as to obtain a straw recycling and efficient low-carbon utilization model. Exploring the response of straw green utilization patterns to crop market prices with the help of deep learning methods, SGROM has been applied to the main grain producing areas in the Sanjiang Plain of China, and the results of comparison with the traditional straw utilization (TSU) model show that the greenhouse gas emissions per unit of production value of SGROM are 19.66 % lower than that of TSU model, the electricity consumption is saved by 2.00 %, and the optimal ratios of straw for power generation, biogas and biochar production, and sale are 1.00 %, 10.75 %, 62.11 % and 26.14 %. The economic benefits and total greenhouse gas emissions of the integrated straw utilization mode are better than those of the single straw utilization mode, proving the superiority of SGROM in optimizing the straw utilization mode.