A method of calculating a carbon credit includes performing, for each segment of a route, a segmental carbon-emission calculation procedure to calculate a segmental carbon emission amount, calculating a one-trip carbon emission amount for this round of taking the route by adding up the segmental carbon emission amounts of all segments, calculating a one-trip emission comparison amount based on the one-trip carbon emission amount and a carbon emission average amount, adding the one-trip emission comparison amount to a cumulative comparison carbon credit, outputting the cumulative comparison carbon credit thus updated, and updating the carbon emission average amount.

A method includes receiving one or more parameters of a plurality of oilfield projects and one or more economic indicators of the plurality of oilfield projects, receiving one or more parameters of a prospective oilfield project, comparing the prospective oilfield project with the plurality of oilfield projects based on the one or more parameters of the prospective oilfield project and the one or more parameters of the plurality of oilfield projects, using a machine learning model, and predicting one or more economic indicators for the prospective oilfield project based at least in part on the comparing.

Methods, systems, and computer program products for generating context-aware process-based model determinations for greenhouse gas emissions from agricultural fields are provided herein. A computer-implemented method includes obtaining data related to multiple conditions pertaining to at least one agricultural field; deriving one or more contextual features for one or more activities associated with the at least one agricultural field, wherein deriving the contextual feature(s) includes processing at least a portion of the obtained data using one or more activity-related models; updating one or more greenhouse gas emission estimates, pertaining to the at least one agricultural field, generated by at least one process-based model by processing at least a portion of the one or more greenhouse gas emission estimates and at least a portion of the derived contextual feature(s) using a spatio-temporal learning model; and performing one or more automated actions based on the one or more updated greenhouse gas emission estimates.

A platform for facilitating development of intelligence in an Industrial Internet of Things (IIoT) system generally includes a plurality of distinct data-handling layers having an industrial monitoring systems layer that collects data from or about a plurality of industrial entities in an industrial environment; an industrial entity-oriented data storage systems layer that stores the data collected by the industrial monitoring systems layer; and an adaptive intelligent systems layer that facilitates the coordinated development and deployment of intelligent systems in the IIoT system; wherein the adaptive intelligent systems layer includes an adaptive edge compute management system that adaptively manages edge computation, storage, and processing in the IIoT system.

An aspect of an information processing apparatus according to this invention includes an acquisition unit that acquires management information including power information related to one or more types of electric power used in a manufacturing process of a product or component among a plurality of types of electric power of different power generating systems, a calculation unit that calculates a first carbon dioxide emission amount emitted through manufacturing of the product or component based on the power information included in the management information, and an output unit that outputs information related to the first carbon dioxide emission amount.

A device for determining a carbon footprint of a computing infrastructure in real time, including a collector that collect equipment data that includes, for each computing equipment, a measurement of its energy consumption and its time-stamped location, a receiver that received, for each site, a carbon intensity value provided by an electricity supplier of the each site, and a consolidator that associated a carbon intensity value of the each site with each computing equipment according to the time-stamped location of the computing equipment. The consolidator calculates the carbon footprint of each computing equipment from the carbon intensity value that is associated and the energy consumption that is measured.

A container having a compactor and bin for waste is disclosed permitting on-premises and remote monitoring of the system and collection is disclosed. The system can also detect non-complaint materials placed therein and act thereon. Methods are further disclosed for inventorying identification tags for tracking packages, merchandise and tags disposed of.

Systems and methods for managing power supplied over an electric power grid by an electric utility and/or other market participants to multiple power consuming devices, each of which having a Power Supply Value (PSV) associated with its energy consumption and/or reduction in consumption. Power flow to the power consuming devices is selectively enabled and disabled, or power-reduced thereto, by one or more controllable devices controlled by the client device. Power control messages from a controlling server indicate amounts of electric power to be reduced and an identification of at least one controllable device to be instructed to disable or reduce a flow of electric power to one or more associated power consuming devices.

A method may include obtaining reservoir data for a geological region of interest. The method may further include obtaining turbine data regarding a supercritical carbon dioxide power (sCO2) turbine. The method may further include obtaining carbon emission data for a well coupled to the geological region of interest. The method may further include determining predicted production data and predicted carbon emission data using a machine-learning model, the reservoir data, the turbine data, and the carbon emission data. The method may further include transmitting a command to a control system based on the predicted production data and the predicted carbon emission data. The command may adjusts an amount of carbon dioxide that is distributed to an injection well and the sCO.sub.2 turbine. The command achieves a predetermined production rate at the well and a predetermined carbon footprint.

A system to facilitate processing of recyclable items is disclosed. Further, the system may include a communication device configured for receiving event data associated with a recycling process from at least one sensory device, receiving a request for the event data from a first user device, and transmitting the event data to the first user device. Further, the system may include a processing device communicatively coupled to the communication device, configured for issuing a predetermined amount of crypto tokens to a second crypto account. Further, the system may include a storage device communicatively coupled to the processing device, configured for storing, using a distributed ledger technology, the event data, and data related to the issuing of the predetermined amount of crypto tokens to the second crypto account.