45 results about "Energy assessment" patented technology

Methods and therapeutics are provided for treating metabolic disorders by activation of melanocortin signaling pathways. Generally, the methods and therapeutics can induce activation of melanocortin receptor signaling to increase energy expenditure and induce weight loss. In one embodiment, a method for performing a diagnostic procedure can be chosen, energy expenditure then assess in light of the diagnostic procedure and a definitive procedure(s) can be selected dependent on the outcome of the energy assessment. In another embodiment, a diagnostic procedure can be chosen to activate melanocortin receptor pathways, energy expenditure can be assessed and a definitive procedure(s) can be chosen that selectively and optimally activate melanocortin receptor pathways.

A system and method for providing energy assessment and optimization in a data center that includes at least one cooling provider, and at least one cooling consumer, the at least one cooling consumer having cooling requirements. The method according to one aspect includes receiving data regarding cooling availability and power consumption for the at least one cooling consumer, cooling capacity of the at least one cooling provider, and a physical relationship between the at least one cooling consumer and the at least one cooling provider in the data center, storing the received data, determining airflow distribution effectiveness between the at least one cooling consumer and the at least one cooling provider, and displaying at least one value representative of the effectiveness of the distribution of airflow in the data center between the at least one cooling consumer and the at least one cooling provider.

The invention discloses a smart grid broadcast system and method. The system comprises an energy monitoring module, an energy assessment module, a power consumption monitoring module, a power consumption assessment module and a broadcast module, wherein the energy monitoring module is used for monitoring energy supply information; the energy assessment module is used for acquiring current power generation cost information according to the energy supply information; the power consumption monitoring module is used for monitoring power consumption information; the power consumption assessment module is used for acquiring current power consumption cost information according to the power consumption information; and the broadcast module is used for broadcasting the current power generation cost information and the current power consumption cost information. Through the current power generation cost information and the current power consumption cost information, less power is generated when the power generation cost is high and more power is generated when the power generation cost is low, and less power is consumed when the power consumption cost is high and more power is stored when the power consumption cost is low. Power generation or power consumption action is achieved, so that the electric energy utilization rate of the entire society is improved.

The invention discloses a refined assessment model of regional wind energy resources, which comprises the following steps: S1, using anemometer tower observation data, SCADA data of wind turbines and terrain parameters respectively belonging in small-scale wind field ranges to establish separate multi-reference-point wind energy resource assessment models of small-scale regions, wherein the small-scale wind field ranges are 1-20 km; S2, using weather station observation data included in regional ranges of 20-200km and the existing models in the step S1 to establish correlation models, obtaining corresponding weight coefficients, and establishing dynamic models; S3, using numerical weather forecast data to establish mesoscale models of regional ranges of 200-500km; S4, using a combination of the mesoscale models, a wind farm power prediction system, a GIS geographic information model and the existing models in the step S1 and the step S2 to establish a refined self-adaptive model; and S5, using a combination of the refined self-adaptive model and a power load dispatching system to realize refined regional wind energy assessment and visual dynamic dispatching management.

An industrial analytic system processes industrial data. A database engine provides access to a plurality of database management systems that serve energy consumption and product sales data. An input filter that selectively passes the filtered data streams that comprise energy sales data, location data, and a business classification code data in datasets by removing selected datasets that do not include energy information. A standard deviation filter removes datasets from the filtered data streams that fall outside of a predetermined variation from an average value. A computation module analyzes the correlation between electrical energy consumption within a standard industrial classification code represented in the datasets and a programmable criterion.

The invention relates to a method for authenticating different procedures of steam output and consumption in iron and steel enterprises. The method establishes steam flow authentication models for three different procedures: establishing a relationship model between the steam flow and the boiler production variable quantity for a stable steam production source, establishing a relationship model between factors influencing steam output of each device and the steam flow for a procedure of recovering a waste heat steam source, and establishing a relationship model of influencing the steam output and the steam flow in each link for a procedure (user) of consuming the steam. The method formulates a specific implementation process for establishing the steam flow authentication models, establishes a model base, and applies the method combining with searching, mending and updating in the steam flow authentication models. The method provides a real-time authentication method for steam instantaneous flow and cumulative flow in iron and steel procedures, improves the reliability of the steam measurement, solves the problems of measurement shortage and disputes caused by low accuracy and stopped measurement in iron and steel enterprises steam measurement, and achieves energy assessment, energy conservation and consumption reduction.

The invention discloses an impact monitoring and energy assessment technology for a composite material structure and belongs to the technical field of intelligent detection and assessment of the composite material structure. According to the technology, a new two-step impact positioning method including an energy distribution smooth filtering method and a TOF (time of flight) based four-side central positioning method is applied in the aspect of impact positioning; in the aspect of impact energy assessment, a multipath integrated energy distribution assessment method for imaging processing based on pixel grid optimization is proposed and assessment for the absorbed energy distribution condition of the structure is realized. With the adoption of the technology, whole-layout impact positioning and energy assessment are realized; by means of the new two-step impact positioning method, precision, timeliness and reliability of impact positioning are improved; influence of structural complexity and composite anisotropy on the impact positioning and impact energy assessment performance is inhibited, effective impact positioning and energy assessment in a severe external environment are also improved, and wide application of the technology in technical fields of intelligent detection and assessment of the composite material structure is promoted strongly.

The invention discloses a wind energy evaluation method based on effective wind speed. The method comprises the steps of : (1) acquiring and obtaining data; (2) selecting a constant air density as a reference value according to the historical air density data of a wind farm; (3) conducting data treatment to calculate a plurality of effective wind speed and average wind power density in the smallest time interval; (4) conducting data treatment to convert the effective wind speed in the smallest time interval to the effective wind speed in an arbitrary larger time interval; and (5) conducting data treatment to evaluate the wind energy in the arbitrary larger time interval. The wind energy evaluation method based on the effective wind speed provided by the invention is applicable to wind energy evaluation of the wind farm with varying air density, and can not only accurately evaluate wind energy of the wind farm but obviate the influences of time segment length on the wind energy evaluation result.