Climate data-driven passive wall ventilation and solar energy home application system

Abstract

Climate data-driven passive wall ventilation and solar energy home application system, characterized in that: It includes a climate data acquisition module, an intelligent control module, a passive ventilation module, and a solar energy utilization module; The climate data acquisition module contains a temperature and humidity sensor, a light intensity sensor, a wind speed sensor, and a precipitation sensor, which serve to capture environmental parameters outdoors in real time and transmit them to an intelligent control module; The intelligent control module incorporates a climate forecasting algorithm that can generate a forecast result for the environmental parameter for the next 48 hours based on historical data and real-time data; the passive ventilation module comprises a wall-mounted interior ventilation space, a ventilation roller shutter, and an exhaust roller shutter, as well as an electric control valve; the intelligent control module regulates the opening degree of the electric control valve based on the forecast result of the environmental parameter in order to change the amount of ventilation; the solar energy utilization module contains a photovoltaic panel, an energy storage battery, and an energy management unit; the energy management unit communicates with and is connected to the intelligent control module; based on a predicted light intensity, the tilt of the photovoltaic panel is regulated, and an energy storage strategy is optimized.

Description

Technical field

[0001] The present invention relates to a wall ventilation and a solar home system, specifically a climate data-driven passive wall ventilation and solar energy home application system. State of the art

[0002] Currently, energy conservation in buildings and the optimization of indoor environments have become important directions in sustainable development. Traditional home ventilation systems often use active mechanical ventilation, which is energy-intensive and lacks dynamic adaptation to the environment; solar energy systems often use independent devices that are not deeply integrated into the home system and are easily affected by weather fluctuations.

[0003] Existing passive ventilation technology is often dependent on a fixed structural design and cannot be flexibly controlled based on real-time climate parameters, making it difficult to guarantee interior comfort in extreme weather conditions.

[0004] At the same time, household energy management lacks the effective use of climate forecast data, the alignment of photovoltaic power generation and demand is poor, and the energy storage strategy is crude. Therefore, a climate data-driven passive wall ventilation and solar energy home application system is urgently needed. invention

[0005] The technical problem to be solved by the present invention is to eliminate the shortcomings of the above technology, to provide a climate data-driven passive wall ventilation and solar energy home application system.

[0006] To solve the aforementioned technical problem, the technical solution provided by the present invention is a climate data-driven passive wall ventilation and solar energy home application system: comprising a climate data acquisition module, an intelligent control module, a passive ventilation module, and a solar energy utilization module; the climate data acquisition module includes a temperature-humidity sensor, a light intensity sensor, a wind speed sensor, and a precipitation sensor, which serve to acquire outdoor environmental parameters in real time and to transmit them to an intelligent control module; The intelligent control module incorporates a climate forecasting algorithm that can generate a forecast of environmental parameters for the next 48 hours based on historical and real-time data; the passive ventilation module includes an internal wall ventilation space, a ventilation roller shutter, an exhaust roller shutter, and an electric control valve. The intelligent control module regulates the opening degree of the electric control valve based on the environmental parameter forecast to adjust the ventilation rate; the solar energy utilization module contains a photovoltaic panel, an energy storage battery, and an energy management unit. The energy management unit communicates with and is connected to the intelligent control module. Based on a predicted light intensity, the tilt of the photovoltaic panel is controlled, and an energy storage strategy is optimized.

[0007] Within a wall ventilation space of the passive ventilation module, a heat exchange core is provided, consisting of a ventilation duct and an exhaust duct that are insulated from each other, enabling heat exchange between the ventilation and exhaust air. The intelligent control module is further connected to an indoor environment monitoring unit, which includes a CO2 concentration sensor and a PM2.5 sensor. The intelligent control module controls the ventilation module to switch to a forced exhaust mode when the indoor CO2 concentration reaches 1000 ppm or the PM2.5 concentration reaches 75 µg / m³. 3 exceeds.

[0008] The solar energy utilization module also includes a household electricity load monitoring unit; the energy management unit can generate a power distribution plan based on a forecast of the photovoltaic panel's power generation, the remaining power in the energy storage battery, and a forecast of the household electricity load; the energy management unit controls the input of excess electricity energy into a grid via a networked inverter when the forecasted photovoltaic power generation exceeds the household electricity demand; the intelligent control module is wirelessly connected to a user terminal, can receive a control command from the user for home systems, and optimize a control strategy in conjunction with climate data.

[0009] The advantage of the present invention over the prior art is that, firstly, passive ventilation and solar energy use are operated synergistically, considerably reducing the energy consumption of the home system and decreasing dependence on traditional energy sources; secondly, dynamic control is achieved based on precise climate forecasts, increasing the comfort of indoor temperature and humidity while simultaneously recovering energy through a heat exchanger core and avoiding energy waste; thirdly, switching between an integrated air quality monitoring mode and an intelligent ventilation mode effectively ensures indoor air quality; and fourthly, energy self-sufficiency and grid complementarity are achieved through photovoltaic energy generation and energy storage optimization management, thus reducing electricity consumption costs.Fifthly, an interactive function of a user terminal takes into account both automated control and individual user regulation, thereby increasing the convenience and environmental friendliness of home life. Explanation of the illustrations Fig. shows a diagram of an overall framework of a system of the present invention; Fig. shows a flowchart of a ventilation control system of the present invention; Fig. shows a flowchart of a solar energy management system of the present invention. Designs

[0010] To facilitate understanding of the present application, the present application is described in more detail below with reference to corresponding illustrations.

[0011] In conjunction with the illustrations, a climate data-driven passive wall ventilation and solar energy home application system comprises a climate data acquisition module, a smart control module, a passive ventilation module, and a solar energy utilization module; the climate data acquisition module includes a temperature and humidity sensor, a light intensity sensor, a wind speed sensor, and a precipitation sensor, which serve to acquire real-time outdoor environmental parameters and transmit them to a smart control module; The intelligent control module incorporates a climate forecasting algorithm that can generate a forecast of environmental parameters for the next 48 hours based on historical and real-time data; the passive ventilation module includes an internal wall ventilation space, a ventilation roller shutter, an exhaust roller shutter, and an electric control valve. The intelligent control module regulates the opening degree of the electric control valve based on the environmental parameter forecast to adjust the ventilation rate; the solar energy utilization module contains a photovoltaic panel, an energy storage battery, and an energy management unit. The energy management unit communicates with and is connected to the intelligent control module. Based on a predicted light intensity, the tilt of the photovoltaic panel is controlled, and an energy storage strategy is optimized.

[0012] Within a wall ventilation space of the passive ventilation module, a heat exchange core is provided, consisting of a ventilation duct and an exhaust duct that are insulated from each other, enabling heat exchange between the ventilation and exhaust air. The intelligent control module is further connected to an indoor environment monitoring unit, which includes a CO2 concentration sensor and a PM2.5 sensor. The intelligent control module controls the ventilation module to switch to a forced exhaust mode when the indoor CO2 concentration reaches 1000 ppm or the PM2.5 concentration reaches 75 µg / m³. 3 exceeds.

[0013] The solar energy utilization module also includes a household electricity load monitoring unit; the energy management unit can generate a power distribution plan based on a forecast of the photovoltaic panel's power generation, the remaining power in the energy storage battery, and a forecast of the household electricity load; the energy management unit controls the input of excess electricity energy into a grid via a networked inverter when the forecasted photovoltaic power generation exceeds the household electricity demand; the intelligent control module is wirelessly connected to a user terminal, can receive a control command from the user for home systems, and optimize a control strategy in conjunction with climate data.

[0014] The present invention and its embodiment are described above; the description is not limiting; the figures only show one embodiment of the present invention, the actual structure is not limited to it.

Claims

[1] Climate data-driven passive wall ventilation and solar energy home application system, characterized by , that: It includes a climate data acquisition module, an intelligent control module, a passive ventilation module, and a solar energy utilization module; The climate data acquisition module contains a temperature and humidity sensor, a light intensity sensor, a wind speed sensor, and a precipitation sensor, which serve to capture environmental parameters outdoors in real time and transmit them to an intelligent control module; The intelligent control module incorporates a climate forecasting algorithm that can generate a forecast of the environmental parameter for the next 48 hours based on historical and real-time data; the passive ventilation module comprises a wall-mounted ventilation space, a ventilation roller shutter, an exhaust roller shutter, and an electric control valve; the intelligent control module regulates the opening degree of the electric control valve based on the forecast of the environmental parameter to change the amount of ventilation; the solar energy utilization module contains a photovoltaic panel, an energy storage battery, and an energy management unit; the energy management unit communicates with and is connected to the intelligent control module; based on a predicted light intensity, the tilt of the photovoltaic panel is regulated, and an energy storage strategy is optimized. [2] Climate data-driven passive wall ventilation and solar energy home application system according to claim 1, characterized by , that: Within a wall ventilation space of the passive ventilation module, a heat exchange core is provided, consisting of a ventilation duct and an exhaust duct that are insulated from each other, enabling heat exchange between the ventilation and the exhaust; the intelligent control module is further connected to an indoor environment monitoring unit that includes a CO2 concentration sensor and a PM2.5 sensor; the intelligent control module controls the ventilation module to switch to a forced ventilation mode when the CO2 concentration in the indoor space reaches 1000 ppm or the PM2.5 concentration reaches 75 µg / m³ 3 exceeds. [3] Climate data-driven passive wall ventilation and solar energy home application system according to claim 1, characterized by , that: The solar energy utilization module further includes a household electricity load monitoring unit; the energy management unit can generate a power distribution plan based on a forecast value of the electricity generation quantity of the photovoltaic panel, a residual electricity quantity of the energy storage battery and a forecast value of the household electricity load; the energy management unit controls the input of excess electricity energy into a power grid via a networked inverter when the forecast electricity generation quantity of the photovoltaic is greater than a household electricity demand; the intelligent control module is wirelessly connected to a user terminal, can receive a control command from the user for home systems and can optimize a control strategy in conjunction with the climate data.

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