7 results about "Renewable energy supply" patented technology

The application provides a renewable energy supply-distribution-demand-storage system space-time coordination configuration method, relates to the technical field of intelligent energy, and comprises the following steps: acquiring data of multiple regions; calculating time mismatch degrees, space mismatch degrees and space-time coupling mismatch degrees of the regions; decomposing an optimization problem into a long-term planning layer, a medium-term scheduling layer and a short-term real-time layer in a time dimension; constructing multi-objective optimization functions of the time layers; decomposing the optimization problems of the time layers in a space dimension; alternately solving local optimization sub-problems and global coordination problems of the regions by using a distributed iteration method; outputting a configuration result of a current time layer when the algorithm converges; executing a decision of a first time period by each time layer and taking the decision as a constraint condition of a next time layer to obtain power generation installed capacities, power transmission line capacities, energy storage capacities and operation strategies of the regions. The application can improve a renewable energy consumption rate and reduce system operation costs.

The primary energy sources for low / zero carbon intensity (green) hydrogen production, such as sunlight and wind, are inherently intermittent in duration and variable in strength. An integrated, dynamically controlled production process is needed for the optimization of continuous green hydrogen production. The process needs to manage this dynamic state on a frequent basis within a green hydrogen production process to assess impacts from incoming renewable energy through to the outgoing continuous (e.g., 24 hours per day and up to 365 days per year) production of both gaseous and liquid hydrogen. The process needs to manage operational performance and metrics continuously using the production facility configuration, renewable energy supply profiles and operational safety requirements together with the capability to adapt to a variety of external constraints, including weather variation, water supply variation and offtake requirements.

The primary energy sources for low / zero carbon intensity (green) hydrogen production, such as sunlight and wind, are inherently intermittent in duration and variable in strength. An integrated, dynamically controlled production process is needed for the optimization of continuous green hydrogen production. The process needs to manage this dynamic state on a frequent basis within a green hydrogen production process to assess impacts from incoming renewable energy through to the outgoing continuous (e.g., 24 hours per day and up to 365 days per year) production of both gaseous and liquid hydrogen. The process needs to manage operational performance and metrics continuously using the production facility configuration, renewable energy supply profiles and operational safety requirements together with the capability to adapt to a variety of external constraints, including weather variation, water supply variation and offtake requirements.

The application discloses a kind of carbon emission reduction portrait determination method and device for building, it is related to building energy saving and emission reduction technical field.The method comprises: obtaining the target data of target building in historical time period;According to the target data of target building, the maximum installed capacity of target building, energy-saving energy of energy consumption system, renewable energy supply energy;According to the maximum installed capacity of target building, energy-saving energy of energy consumption system, renewable energy supply energy, determine the carbon emission reduction proportion value of target building;According to carbon emission reduction proportion value, determine the carbon emission reduction portrait of target building, wherein, carbon emission reduction portrait is used to represent at least one implementation mode to achieve carbon emission reduction proportion value.The present application solves the technical problem that the existing technology only analyzes carbon dioxide emission reduction of building from single emission reduction means, leading to poor carbon dioxide emission reduction effect for building.

An energy management system and method designed to analyze the energy consumption of a building or cluster of buildings is provided. The system includes a user device and a controller. The controller includes a building energy audit analysis level, an energy demand-supply management level, and a heat and mass balance simulation level. The system integrates energy consumer-type users, energy server-type users, and energy developer-type users on one single platform. The energy management system provides a single platform for the sustainable management of energy data, integrates the users, inputs energy data, analyzes the data, and outputs energy performance and energy efficiency data based on the analyzed data.

This invention relates to the field of flexible work shop scheduling technology, and discloses a multi-objective dynamic flexible work shop scheduling optimization method and apparatus. The method includes: constructing a flexible work shop scheduling model integrating multiple agent scheduling units; constructing a deep reinforcement learning objective function for the multiple agent scheduling units, and transforming scheduling rules into constraints and weight coefficients; acquiring the microgrid energy status, dynamic work queues, and real-time equipment status, defining flexible work shop state characteristic variables based on constraints, and embedding scheduling rules to construct a unified state space; based on an improved near-end strategy optimization algorithm, jointly training the multiple agent scheduling units using the state space, and setting a multi-dimensional composite reward mechanism to guide the multiple agent scheduling units to achieve optimized scheduling in a dynamic environment. This invention can achieve autonomous, intelligent, low-carbon, and efficient scheduling of flexible work shops in environments with intermittent renewable energy supply and frequent dynamic events within the work shop.

This invention belongs to the field of energy system optimization technology, and relates to a two-layer optimization method for a petrochemical park integrated energy system based on nuclear small modular reactors (SMRs). The method includes: 1. Obtaining the data required for optimization; 2. Constructing the configuration of the integrated energy system based on SMRs; 3. Designing a SMR heat load following strategy; 4. Selecting net present cost, renewable energy supply ratio, and lifecycle carbon emissions as optimization objective functions; 5. Obtaining the optimal equipment capacity of the system through a multi-objective cat swarm algorithm and the advantage-disadvantage distance method; 6. Performing operational optimization based on the optimal solution obtained from capacity optimization, operational optimization constraints, and objective functions. This invention achieves complementary utilization of multiple energy forms by synergistically coupling nuclear energy with renewable energy sources such as wind and solar power, as well as traditional energy systems, thereby improving the overall utilization efficiency of the energy system and enhancing the stability and reliability of energy supply.