Matching system for methane resource utilizing food waste
A methane resource matching system include a first terminal device that is equipped at a source of food waste, and that inputs information relating to food waste; a second terminal device that is equipped at a biogas plant, and that inputs information relating to an operating status at the biogas plant; a third terminal device that is equipped at a support company, which investigates the source of food waste and the biogas plant, and that inputs information relating the food waste at the source and the operating status at the biogas plant; and a management server that is equipped at a general headquarters, which oversees the bio-gasification of food waste, and that manages the source of food waste, the biogas plant, and the bio-gasification of food waste at the support company. The first terminal device, the second terminal device, the third terminal device, and the management server are connected to one another via the network.
1 . A methane resource matching system comprising:
a management server comprising at least one processor and a memory storing instructions that, when executed by the processor, cause the processor to:
receive, from a plurality of smartphones located at food waste sources, input data associated with food waste collected at the food waste sources, the input data comprising volume data, moisture content data, chemical composition data, photographic data, type data, quantity data, and property data of the food waste;
process the input data using a method resource recovery model to estimate parameters for bio methane potential, loss on ignition, carbohydrate content, protein content, lipid content, water content, nitrogen concentration, and pH of the food waste;
classify the food waste, based on the estimated parameters, into a plurality of methane resource comprising a carbohydrate-rich classification, a fat-rich classification, a nitrogen/sulfur-rich classification, and a fiber-rich classification;
receive operating status data from a plurality of biogas plant terminal devices, each biogas plant terminal device of the plurality of biogas plant terminal devices being associated with a different biogas plant of a plurality of biogas plants, the operating status data comprising at least gas production amount, power generation status, and types and properties of methane materials used at respective biogas plants;
determine compatibilities between the classified food waste and the plurality of biogas plants by applying a methane resource recovery estimation model that performs at least one of methane yield prediction, synergy prediction, and inhibition diagnosis based on the classifications and the operating status data;
determine, based on the compatibilities, at least one of a mixing ratio of the food waste with existing methane materials and a type or amount of gasification promoter for improving methane production;
generate allocation instructions that specify at least a selected biogas plant and a corresponding type and amount of food waste to be supplied based on the determined compatibilities and mixing ratio;
transmit the allocation instructions to the plurality of biogas plant terminal devices to coordinate food waste distribution to the plurality of biogas plants, and
receive, from at least one of the plurality of biogas plant terminal devices, feedback data comprising at least gas production amount or power generation amount resulting from supplied food waste, and update the methane resource recovery estimation model based on the feedback data to improve accuracy of methane yield prediction.
2 . The methane resource matching system of claim 1 , wherein the processor is further configured to:
predict a methane yield for each biogas plant of the plurality of biogas plants using the methane resource recovery estimation model; and
adjust future allocation instructions based on a comparison between predicted methane yield and actual methane yield data.
3 . The methane resource matching system of claim 1 , wherein the operating status data comprises a type of methane material, an amount of methane material, a property of methane material, an equipment utilization rate, a gas production amount, and a power generation status.
4 . The methane resource matching system of claim 1 , wherein the processor is further configured to implement an artificial intelligence gasification promotion model that determines at least one of (i) mixing ratios of different food waste classifications to maximize methane production efficiency at each biogas plant of the plurality of biogas plants or (ii) a type or amount of a gasification promoter to improve methane production efficiency at each biogas plant of the plurality of biogas plants.
5 . The methane resource matching system of claim 1 , wherein in being configured to determine the compatibilities, the processor is configured to:
identify a biogas plant experiencing a nitrogen or sulfur deficiency; and
prioritize allocation of the food waste classified in the nitrogen/sulfur-rich classification to the identified biogas plant.
6 . The methane resource matching system of claim 1 , wherein the processor is further configured to determine carbon credits based at least in part on methane production data from the plurality of biogas plants.
7 . The methane resource matching system of claim 1 , wherein the allocation instructions comprising:
scheduling collection of the food waste, specifying a type and amount of the food waste to be transported, and identifying a destination biogas plant of the plurality of biogas plants to receive the food waste.
8 . The methane resource matching system of claim 1 , wherein determining the compatibilities comprises:
evaluating, using the methane resource recovery estimation model, at least one of (i) an inhibition condition associated with nitrogen, sulfur, or lipid content or (ii) a synergistic interaction between different food waste classifications to maintain stability of methane fermentation at each biogas plant.
9 . The methane resource matching system of claim 1 , wherein determining the mixing ratio comprises:
calculating a mixing ratio of the food waste with existing methane materials based on predicted methane yield and inhibition conditions to improve gas production efficiency at the selected biogas plant.
10 . The methane resource matching system of claim 1 , wherein processing the input data further comprises:
applying machine learning to generate the methane resource recovery estimation model based on historical data including methane yield, gas production amount, and properties of previously processed food waste.
11 . The methane resource matching system of claim 1 , wherein updating the methane resource recovery estimation model comprises:
modifying at least one parameter of the methane resource recovery estimation model based on the feedback data to improve prediction accuracy for methane yield associated with the classified food waste.
12 . The methane resource matching system of claim 1 , wherein the processor is further configured to generate the methane resource recovery estimation model by training the model using machine learning based on historical data comprising methane yield, gas production, and properties of previously processed food waste, and to iteratively update the model using feedback data from the plurality of biogas plants to refine prediction of methane yield, synergy, and inhibition conditions.