A first comparison-period specifier specifies a first to-be-compared period in a pre-implementation period before implementation of an energy saving control. A second comparison-period specifier specifies as a second to-be-compared period a to-be-compared candidate period having the highest similarity level between: parameters in a first parameter comparison period including a first comparison period and a first period immediately before or after the first comparison period, and parameters in a second parameter comparison period including a to-be-compared candidate period and a second period immediately before or after the to-be-compared candidate period. An energy saving diagnoser diagnoses the level of energy saving derived from the implementation of an energy saving control based on a power consumption amount in the first to-be-compared period and a power consumption amount in the second to-be-compared period.

Method and system for facilitating auditing of power generation and allocation thereof to consumption loads, and a method and system of certifying generation and consumption transactional pairings over a contiguous power grid network. The method of facilitating auditing of power generation and allocation thereof to consumption loads comprises measuring respective power generation time series for one or more power sources connected to a power grid; pairing the generation time series with one or more consumption loads connected to the power grid such that one generation time series is paired with one or more consumption loads and vice versa; and publishing publication data representing power generated by the power sources according to the measured power generation time series and an allocation of the generated power to the consumption loads.

This disclosure describes techniques that include managing flows of energy within a system that includes a data center and using at least some of the energy flows to provide power to the data center. In some examples, this disclosure describes a system comprising a power generation system, a battery storage system having a state of charge attribute, and processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system. In one example, the processing circuitry is configured to: determine an energy utilization forecast for a data center; monitor energy availability factors; and determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving with the electrical power grid, the power generation system, the battery storage system, and the data center.

A method of evaluating energy harvesting potential includes receiving point-in-time illuminance data into a mobile device for incorporation into a building information model of a building. A site-specific light simulation model for the building is calibrated using the building information model incorporating the point-in-time illuminance data. The method also includes determining energy availability for energy harvesting in the building based on the calibrated site-specific light simulation model.

An information processing device determines, based on a preset threshold, whether the production index belongs to either a first section or a second section contained in one maintenance cycle of the member, wherein a change in the production index is larger in the second section than in the first section. The information processing device executes at least one of first processing in which the production index determined to belong to the first section is used and second processing in which the production index determined to belong to the second section is used.

A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

Discrete resource tracking systems (and corresponding methodologies) that collect, tag and store resource consumption and usage values associated with industrial environment processes are provided. The specification can track water, air, gas, electricity, or steam consumption and usage view of a discrete (or batch) processes. Emissions and/or effluents associated with processes and sub-processes can also be collected, tagged and stored as desired. These stored resource consumption and usage and/or emissions and/or effluents data elements can be used for a variety of purposes including, but not limited to, simulation, planning, forecasting, valuating, optimizing, etc.

Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

The present disclosure provides a system for measuring carbon emissions in a power system. The system includes: generation carbon meters, distributed respectively in generators in the power system; network carbon meters, distributed respectively in nodes in the power system; consumption carbon meters, distributed respectively in consumers in the power system; and a center server, in which each carbon meter is configured to collect data for measuring the carbon emissions. The center server is configured to acquire the collected data and to measure the carbon emissions according to the acquired data, and to send measuring results to the corresponding carbon meter. Then each carbon meter is further configured to display according to the measuring results. The carbon emission may be measured in real time.

The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.