Patent classifications
Y02P90/82
SELF-DRIVING BUILDING ENERGY ENGINE
Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.
Estimating performance of photovoltaic systems
An energy evaluation system includes an energy system modeling framework and an Application Program Interface (API) as part of the energy system evaluation framework. The energy evaluation system can be configured to query a simulation application program interface (API) with PV system configuration parameters as arguments, generate a shade loss time series based on the system configuration parameters, simulate energy output for the PV system based on the shade loss time series, and output energy aggregations based on the simulation.
PLATFORM AND METHOD FOR CALCULATING PAYMENT, CONTRIBUTION, INVESTMENT AND DIVIDEND RETURN OF CARBON EMISSION CHARGES BASED ON BLOCKCHAIN
The present disclosure relates to a blockchain based platform and a method for consumers to invest in climate related financial products at an amount voluntarily chosen based on a calculation of carbon emission amount from the transactions data crawled from the servers of financial institutions that operates credit and cash cards and to return the principal investment and dividends accrued from the climate related investments options to the consumers who paid the voluntarily chosen amount of carbon emission charges of their consumption of goods and services.
The platform embodied in the present disclosure provides an incentive for consumers to voluntarily pay their carbon emission charges by financially intermediating voluntary carbon emission payment into climate related investment options and a blockchain based security of transactions for the return of the principal investments and dividends accrued from the climate related financial products to those consumers who voluntarily paid carbon emission charges.
Methods and systems for benchmarking asset performance
Traditionally, benchmarking of asset performance involves comparing actual performance with ideal values that correspond to test conditions which may not be realized in practice leading to inappropriate ranking of the assets. Systems and methods of the present disclosure use condition-aware reference curves for estimating the maximum possible operating efficiencies (under specific operating conditions) instead of the theoretical maximum efficiencies. The reference curves are received from the manufacturer or obtained from on-site test results. Benchmarking is then performed based on two dimensions, viz., an inter-asset metric and an intra-asset metric that are analogous to the first law and second law of thermodynamics respectively. The two-dimensional benchmarking then helps in identifying inefficient assets that may be analyzed further for finding the root cause. Tracking the performance of assets over time greatly helps in operations and maintenance, and thus reducing downtime of systems and accordingly the operating costs.
Method for evaluating theoretical potential of wind energy
A method for evaluating theoretical potential of wind energy includes steps of: (1) selecting a target area for estimation of theoretical reserves of wind energy, and extracting a coordinate range of the target area; (2) presetting a spatial height of the target area d in step (1); (3) obtaining meteorological data of a wind speed and an air density of the target area in step (2); (4) according to the meteorological data obtained in step (3), calculating a theoretical wind reserves per unit area of the target area; (5) calculating an area size of the target area; (6) according to the meteorological data of the wind speed and the air density obtained in step (3), the spatial height of the target area obtained in step (2), and the area size of the target area obtained in step (5), calculating to obtain regional theoretical reserves of wind. Benefits of the present invention are providing a quantitative evaluation method for the estimation of the theoretical reserves of global wind energy, the quantitative indicators of wind power resources for wind energy policy formulation, and the selection of wind farm sites, which are of great significance for the development and utilization of wind resources and the formulation of policies.
System and methods for power system forecasting using deep neural networks
A method of managing energy by use of processing logic that comprises a load processor as a cloud service is provided. The method includes receiving power load information from a data collection system located at a building and using a cloud analysis layer that employs machine-learning and artificial intelligence for optimization control, analyzing the received power load information to disaggregate load waveform signals and identify device-based power loads by use of a neural network to perform historical device demand and performance analysis to generate device-based demand forecasting, generating demand forecasts for the building to mitigate peak demand based on analysis of a power draw signal and the generated device-based demand forecasting, and determining whether the generated demand forecast for the building is to peak in a near future, based on threshold values of at least one of generated device-based demand forecasting, power price or cost information, and user behavior analysis.
SYSTEM AND METHOD FOR DYNAMIC MULTI-OBJECTIVE OPTIMIZATION OF MACHINE SELECTION, INTEGRATION AND UTILIZATION
The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
SYSTEMS AND METHODS FOR DATA ANALYTICS FOR VIRTUAL ENERGY AUDITS AND VALUE CAPTURE ASSESSMENT OF BUILDINGS
A system may provide virtual energy audits of one or more target buildings. The system may retrieve weather data and energy usage data specific to a given target building from a weather server and a utility server, respectively. The system may store predefined building characteristics corresponding to the given target building in local memory. Based on the weather data, energy usage data, and/or predefined building characteristics, the system may generate one or more building markers that characterize the energy usage and efficiency of the given target building. Building efficiency diagnostics and energy conservation prognostics may be generated based on the building markers and may be sent by the system to be displayed via a user interface of a client device. The energy conservation prognostics may include one or more energy conservation measure recommendations and corresponding predicted cost/energy savings.
METHOD AND SYSTEM FOR FACILITATING AUDITING OF POWER GENERATION AND ALLOCATION THEREOF TO CONSUMPTION LOADS
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.
DEVICE FOR COORDINATED CONTROLLING OF AN OPERATING STATE OF A PRODUCTION PLANT AND PRODUCTION SYSTEM AND METHOD
A device for controlling an operating state of at least one component of a production plant, including an energy control unit for providing a state change signal for changing the operating state of the at least one component from a first operating state to a second operating state, wherein the device includes a monitoring unit which is designed to receive the state change signal of the energy control unit, and to provide the state change signal of the energy control unit for changing the first operating state to the second operating state, and to modify the state change signal of the energy control unit for providing the second operating state, and to block the state change signal of the energy control unit for preventing a change of state into the second operating state.