5results about How to "Solve the consumption problem" patented technology

Embodiments of the present application relate to a photovoltaic device control method and device, a photovoltaic device and a storage medium. The photovoltaic power generation and load demand power of the photovoltaic device in a future time period are predicted according to historical use information and environmental information of the photovoltaic device. The power supply strategy and cold storage strategy of the photovoltaic device are determined according to the photovoltaic power generation and load demand power. The photovoltaic device is controlled to supply power according to the power supply strategy, and the photovoltaic device is controlled to store cold according to the cold storage strategy. Thus, in the case of an energy-saving air conditioner powered by the photovoltaic device, the photovoltaic power generation and load demand power are predicted, the corresponding power supply strategy and cold storage strategy are matched and control is performed, the photovoltaic fluctuation can be dynamically responded, the efficient conversion and storage of excess electric energy into cold energy are realized, the energy utilization rate of the energy-saving air conditioner is effectively improved, and the problem of excess electric energy consumption is solved.

This invention provides a coal-to-methanol system and process enhanced with green hydrogen and green oxygen, as well as a method for optimizing green hydrogen permeability. By adjusting the hydrogen-to-carbon ratio with green hydrogen, replacing air separation oxygen production with green oxygen, and achieving synergistic effects of green hydrogen and green oxygen, the system simplifies the process and reduces energy consumption and carbon emissions. At the same time, the optimal green hydrogen permeability is determined through multi-objective optimization, achieving a balance between technical feasibility, low carbon emissions, and economic efficiency. This invention is applicable to new coal-to-methanol plants or low-carbon retrofitting of existing plants.

The utility model relates to a coal gangue solid waste treatment production line, and aims to solve the technical problem that large-scale assembly line work cannot be performed in coal gangue solid waste treatment. According to the technical scheme, the system comprises a main production line, microorganism adding equipment and a control system, the main production line comprises a feeding machine, a crusher, a screening machine, a main conveyor, a double-shaft spiral stirrer and a discharging conveyor, the coal gangue bin, the feeding machine, the crusher and the screening machine are sequentially connected end to end, an undersize product discharging opening of the screening machine is connected with the main conveyor, an oversize product discharging opening is connected with the crusher, and the double-shaft spiral stirrer is connected with the discharging conveyor. The main conveyor, the double-shaft spiral stirrer, the discharging conveyor and the silo are sequentially connected end to end; a bacteria liquid tank of the microorganism adding equipment is connected with a first metering pump, a second metering pump is externally connected with a water source, and the first metering pump and the second metering pump are connected to a feeding hole of the double-shaft spiral stirrer after being converged. The device can realize full-automatic operation, does not need manual participation, and is suitable for a production line for absorbing the coal gangue solid waste on a large scale.

The present application relates to the technical field of shield muck, and discloses a preparation method of shield muck forming grouting material, which comprises main material, grouting agent and additive agent, and the proportion of the main material, the grouting agent and the additive agent is (60-90):(10-30):(0.05-0.3) according to the component mass ratio; the main material comprises mud slurry formed by shield muck and sand material; the grouting agent comprises Portland cement, sulphoaluminate cement, mineral powder, gypsum, fly ash and stone powder; and the additive agent comprises water reducing agent and retarder; the mud slurry and the sand material are firstly stirred and mixed to form the main material, then the grouting agent and the additive agent are added into the main material, and the main material, the grouting agent and the additive agent are stirred and mixed uniformly to form the grouting material. In this way, the grouting material can be injected into the pipe wall interval between the pipe segment and the soil body, a solid structure with certain strength is generated, the adhesion and stability of the pipe segment and the surrounding soil body are improved, the stability of the tunnel structure is enhanced, water infiltration is prevented, and the disposal problem of shield muck is solved.

This invention relates to the field of photovoltaic (PV) forecasting technology, and more particularly to a method and system for short-term forecasting of distributed PV power. The method includes: acquiring historical power data of distributed PV and gridded meteorological data, and performing normalization preprocessing to obtain a standardized input dataset; constructing a feature extraction module integrating a deep residual network and a time attention mechanism to extract features from the gridded meteorological data in the standardized input dataset, obtaining gridded meteorological spatiotemporal feature data; inputting the gridded meteorological spatiotemporal feature data into a prediction model constructed based on the Informer algorithm, and outputting the prediction result of short-term power of distributed PV. This invention effectively solves the problems of traditional PV power forecasting, such as the difficulty in fully exploring the spatial distribution characteristics and temporal variation patterns of gridded meteorological data, and the low efficiency in capturing long-sequence dependencies when processing long-sequence meteorological data, thus improving the accuracy and stability of PV power forecasting.