Biogas Production Optimization in the Anaerobic Codigestion Process: A Critical Review on Process Parameters Modeling and Simulation Tools

Table 6

Summary of Aspen Plus and ADM1-based biogas simulation and optimization models.

Model	Mono/cosubstrates	Objectives	References
AP	Wastewater	To simulate and optimize the operating parameters, including OLR, temperature, effects of H2 addition/pH value, and recycle ratios to maximize biogas production	[122]
	Waste sludge and expired yogurt	Prediction of kinetic parameters and simulation of codigestion	[112]
	Cattle manure and dairy milk processing waste	To simulate dairy milk process plant and investment profitability of biogas use in drying milk	[120]
	Cow dung and food waste	To simulate codigestion to predict the amount of biogas production	[116]
	Potato stem and milk whey	Optimization of organic load and evaluation of technoeconomic assessment	[114]
	Pulp mill primary and secondary sludge	To evaluate the potential of bioenergy production and optimization of mixing ratios	[123]
	VOC emissions	To optimize and simulate biogas production	[124]
	Palm oil mill effluent	To optimize and simulate process parameters to produce maximum methane	[125]
	Cow manure	Modeling and optimization of biogas and hydrogen production and effects of process parameters	[126]
	Municipal solid waste	To optimize and analyze methane production	[127]
	Food waste and primary sludge	To model biogas production, combined heat and power, economic analysis, and optimization of mixing ratios	[128]
ADM1	Food waste	Effect of hydraulic retention time (HRT), C/N ratio, and changes in feed composition on the biogas production	[129]
	Municipal solid waste	To optimize and simulate the OLRs, pH, and other parameters	[111]
	Solid waste	To investigate the effects of pH and VFA on biogas production	[130]
	Primary sludge	To simulate the dynamic properties of a primary sludge digester in a full-scale digester	[131]
	Pig manure with silages, thin stillage, and glycerine phase	To optimize and simulate codigestion and kinetic parameters to predict biogas production	[132]
ADM1xp	Lactate	To assess the effect of adding lactic acid into ADM1 in influencing the prediction potential of the model	[133]
	Food waste and waste-activated sludge	To model, predict, and simulate operational performances and biological behavior of monodigestion/codigestion	[134]
	Dairy manure spent and mushroom substrate	To model and predict pH and the kinetics of biogas production to optimize the substrate ratio and HRT	[135]
ADM1-PID	Waste-activated sludge and corn silage	To simulate and optimize the mixing ratio to achieve maximum methane production	[136]
	Diluted dairy manure kitchen wastes	To optimize the mixing ratio of codigestion and HRT and to evaluate hydrolysis kinetics to enhance methane production	[137]