38 results about "Energy plan" patented technology

Systems and methods for electric power messaging and settlements including advanced energy settlements, messaging, and applications for electric power supply, load, and/or curtailment and data analytics associated with the same. Systems and methods for providing data analytics and customer or consumer guidance and controls are provided, and coupled with graphic user interfaces for interactive control and command of grid elements, design, specification, construction, management and financial settlement for data centers and/or microgrids, business and residential power consumption, control, management, messaging and settlements, mobile applications, websites, marketing offers, optimal pricing for comparable energy plans, retail electric provider and direct consumer alternatives, network of power architecture, EnergyNet applications, software development kit, and application web-based storefronts.

A method of price forecasting in an electrical energy supply network and/or load (energy demand) forecasting of a given consumer of electrical energy, in the context of an electrical energy supply network that is adapted to supply electrical energy to a number consumers connected to the network. The method includes developing a multi-regime, regime switching stochastic model for determining day ahead/spot market energy prices using at least one historical profile and subjective opinion from at least one expert; and the multiple regimes correspond to a number of combinations of physical factors. A regime is identifiable by at least three factors. The method thus facilitates identifying the optimal mix of energy hedge and exposure to day ahead/spot market prices for deriving economic benefits in overall energy expenditure.

The present invention provides an energy management system which comprises a data acquisition module, an energy real-time monitoring module, an energy planning management module, an energy comprehensive statistics module, an energy efficiency diagnosis and optimization module, a benchmarking evaluation module, an energy cost analysis module, an environmental-friendly discharge monitoring module and a basic data management module. According to the present invention, an automatic and information technology and an integrated management mode are adopted; production information of different workshops, such as energy consumption, output, production processes, product quality and the like, is integrated; integrated flattened comprehensive dynamic monitoring and digital management are adopted for the four links of purchase and storage, processing and conversion, conveying and distribution and consumption and use; energy balance is improved and optimized; and the management and control integrated system which systemically saves energy and reduces consumption is realized.

The invention relates to an intelligent building energy management system. The intelligent building energy management system comprises a system configuration unit for setting an energy consumption management object and manager information, an energy consumption data acquisition unit for acquiring the energy consumption management object, an energy auditing management unit for auditing the energy consumption management object, an equipment energy consumption management unit for monitoring and managing in real time by taking equipment as a unit, a region energy consumption management unit for detecting and managing in real time by taking a region as a unit, an energy forecast management unit for counting and analyzing energy consumption data, an energy consumption alarm and demand control unit for controlling a demand according to a unit load group, a load and contract capacitance information, an energy evaluation unit for optimizing energy scheduling and balance, saving energy and improving reactive power consumption, an energy plan unit for making a rational energy use plan according to the current energy use situation, and an energy management database. By the intelligent building energy management system, the energy real-time balance management and monitoring management of building groups can be realized effectively.

The invention relates to a planning management control system for construction energy, which comprises a system setting unit, an energy consumption acquisition unit, an energy auditing management unit, a device energy consumption management unit, an area energy consumption management unit, an energy forecast management unit, an energy consumption alarm and demand control unit, an energy evaluation unit, and an energy planning implement unit, wherein the system setting unit is used for setting the information related to an energy consumption object and a manger; the energy consumption acquisition unit is used for acquiring the energy consumption object; the energy auditing management unit is used for auditing the energy consumption object; the device energy consumption management unit is used for monitoring and managing the device in real time; the area energy consumption management unit is used for monitoring and managing area in real time; the energy forecast management unit is used for performing data statistics and analysis on energy consumption; the energy consumption alarm and demand control unit is used for controlling the demand according to load set, load and contract volume information of the unit; the energy evaluation unit is used for optimizing the energy scheduling and balancing the energy consumption; and the energy planning implement unit is used for making a reasonable energy use plan according to the annual energy index and current energy use condition. The planning management control system for construction energy has various energy-saving management manners and can implement the meticulous energy-saving control according to the annual construction energy-saving target.

A method of managing energy consumption in an enclosed spaced includes the step of providing temperature and foot traffic data to a plan generator. The method further includes the steps of generating an energy plan based on the temperature and foot traffic data and controlling one or more energy consuming devices based on the energy plan.

The invention provides a gridding coordinated planning method of composite energy multi-energy complementation. The method comprises following steps of acquiring current situations of the power grid and energy resource utilization condition information; initial dividing grids in a demonstration area, predicting load and composite energy demands, and correcting a grid division scheme of a geographical information system; formulating constraints and net rack planning rules, constructing a composite energy coordinated development basic model, and formulating a target net rack coordinated planningscheme; formulating a target net rack scheme of each level year and each long-range year, and carrying out composite energy coordinated planning operation management service platform construction; and carrying out economical benefit estimation and providing a demonstration region power distribution network composite energy coordinated development operation mode. According to the invention, the park can be quite properly and rationally planned; a composite energy planning optimal scheme can be obtained; by use of the gridding method of the geographical information system, coordinated planningis carried out, and energy interaction and gradient utilization are achieved; the peak adjusting pressure of the power grid is reduced; and the digestion ability for clean energy is improved.

The invention discloses an environmental protection monitoring and energy management system based on the Internet of things, which comprises an Internet of things module, an energy data acquisition module, an energy data statistical analysis module, an energy consumption prediction analysis module, a background management module, an energy real-time monitoring module, an energy plan management module, an energy comprehensive statistics module, an energy efficiency diagnosis optimization module, a benchmarking assessment module, an energy cost analysis module, an environmental protection emission monitoring module and a basic data management module. The environmental protection monitoring and energy management system based on the Internet of things realizes environmental protection monitoring and energy management, achieves networked, real-time and intelligent supervision and improves the energy management efficiency by adopting a mode of the Internet of things.

A system and method of managing electrical energy consumption and generation of a vehicle. The method includes: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period; obtaining forecasted vehicle trip data based on the vehicle operation schedule; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan during the vehicle operation schedule.

The invention relates to an energy station configuration method in a regional energy plan and design stage. The method comprises the following steps of: carrying out analog calculation in cooling and heating electric loads of buildings in a region to obtain regional load characteristics; obtaining primary energy technologies according to geographic, resource and meteorological characteristics in the region and the regional load characteristics; obtaining basic parameters and an energy cost of technical equipment corresponding to each primary energy technology; establishing a regional energy station configuration model, wherein the model considers the production cost of energy, the operation and maintenance costs, the cost change of daytime energy consumption, a market free transaction mechanism, a cold and heat accumulation, carbon emission tax rate and the change of equipment efficiencies along with operation states; and solving the regional energy station configuration model by using a branch cutting algorithm, and obtaining an energy technology category and a corresponding configuration capacity. Compared with the prior art, the method is capable of solving the problems of energy station energy technology category selection and corresponding equipment capacity configuration in the regional energy plan and design stage, and has the advantage of being high in reliability.

The invention discloses an intelligent heat supply network operation and maintenance management system, which relates to the field of heat supply network management, and solves the main problem of uneven room temperature heat and cold of each user caused by unbalanced flow transmission and distribution of each loop due to hydraulic disorder in traditional extensive centralized heating. The systemcomprises a data model used for classifying real-time data information transmitted at the same time based on softmax according to the type and the model of a data acquisition device, and classifying the classified data into a current time node data cluster and a previous time node data cluster again according to the period of the data acquisition device; and the data model performs post-forgettingmemory processing on the data based on the gating signal of the LSTM to obtain a predicted next time node data cluster, and generates a real-time heat supply network decision according to the predicted next time node data cluster. According to the system, the consumption of the heat supply energy is predicted, and decision support is provided for reasonably making an energy plan and dynamically scheduling the energy.

The invention discloses an urban energy system supply and demand optimization method based on a linear dynamic programming algorithm. The method is based on the present situation of energy supply and demand in cities. First, an energy supply and demand optimization model is established, and the total cost of the urban energy system is minimized on the premise of meeting the energy demand, resource conditions, environmental constraints and all kinds of energy programming requirements; and second, the optimization model is solved based on the linear dynamic programming algorithm. Thus, a guidance basis is provided for relevant workers to formulate an urban energy plan, the energy structure is better improved and optimized, and reasonable and effective utilization and sustainable development of energy are promoted.

The invention discloses a detection method for a seismic data abnormal measurement point. The method comprises the three main steps of building an energy time profile and an energy plan graph according to the measurement point (a shot point and a receiving point); building an energy distribution histogram according to an energy counting relation, and determining a detection threshold; and processing the abnormal measurement point according to an evaluation rule. According to the detection method of the seismic data abnormal measurement point, a suspected abnormal measurement point is automatically detected and picked up with regard to the problem of abnormal amplitude of super-large scale seismic data, so that high-efficiency quality control is achieved, and true and reliable foundation document is provided for earthquake processing.

The invention discloses an intelligent energy management system. The system comprises an energy operation monitoring management module, an energy modeling module, an energy planning analysis module, an energy facility operation and maintenance management module, an energy service management module and a system management module. By using the system, unified management and application of the full life cycle of intelligent energy generation, transmission and consumption can be realized.

The invention discloses a management method of an energy storage system, and the method comprises the steps of obtaining a current time parameter, and obtaining an energy plan parameter in a preset energy plan list according to the time parameter, wherein the energy plan list comprises one or more energy plan parameters corresponding to different time parameters; receiving the energy data sent byan energy collection module, determining a planned working mode of an energy storage battery according to the energy data and the energy planning parameter, and generating an energy control instruction corresponding to the planned working mode; and sending the energy control instruction to an energy management module so as to manage the energy of the energy storage battery according to the energycontrol instruction. By implementing the scheme, the energy storage system can select the corresponding energy plan parameters according to the time parameters corresponding to the peak-valley characteristics of a power grid and manage the energy of the energy storage battery in combination with the energy data, the characteristics of the energy storage battery are fully utilized, and the influence of the peak-valley characteristics of the power grid on the energy of the energy storage battery is effectively reduced.

The invention relates to the technical field of intelligent power-saving management and control, and discloses an intelligent power-saving management and control system of a digitized community, including electrical specialty subsystem, the output end of the electric professional subsystem is electrically connected with an energy consumption data acquisition module, the output end of the energy consumption data acquisition module is electrically connected with an energy consumption data storage module, the output end of the energy consumption data storage module is electrically connected withan energy consumption data statistical analysis module, the output end of the energy consumption data statistical analysis module is electrically connected with a load management module and an energyconsumption visualization module. The energy consumption visualization module and a data archiving module are electrically connected with each other, and the output end of the energy consumption visualization module is electrically connected with a large platform for energy consumption data monitoring, wherein the large platform for energy consumption data monitoring comprises an energy planning/procurement module, an energy control module and a report/monitoring module. The intelligent power-saving management and control system of the digital community can monitor and manage the power consumption of the community, and is convenient for people to use.

An aspect of the present disclosure relates to a method for providing a data structure comprising a refined energy schedule, the method comprising receiving a plurality of energy demand requests, energy storage offers, and/or energy supply offers from a plurality of participants of a power network; determining by a plurality of distributed computational units the refined energy schedule, using an optimization function, under consideration of the plurality of energy demand requests, energy storage offers, and/or energy supply offers, wherein the refined energy schedule is an at least substantially optimal energy schedule; and appending the refined energy schedule to the data structure. A further aspect of the disclosure relates to a data structure, in particular to the data structure provided in the method.

A method for adjusting electrical energy flow schedules of a utility handling a plurality of distributed energy resources. The method comprising the steps of providing information regarding energy flow of the energy resources and storing said information on a distributed ledger; transferring energy schedules from the utility to the distributed ledger; transferring said information regarding the energy flow and the energy schedules from the distributed ledger to a computing means and computing proposed corrections for the energy schedules; transferring said proposed correction to the distributed ledger; transferring said proposed correction to the utility which decides to use or not to use the proposed correction. By deciding to use the proposed correction, the schedules are corrected and information is transferred from the utility to the computing means.