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CN-121981012-A - Energy consumption optimization method and system for integrated building structure parameters

CN121981012ACN 121981012 ACN121981012 ACN 121981012ACN-121981012-A

Abstract

The invention discloses an energy consumption optimization method for integrated building structure parameters, which utilizes an intelligent sensor and a building information model to collect geometric form, building envelope, equipment configuration, personnel activities and external environment data of a building in real time, calculates thermal load and energy consumption distribution of the building based on the collected data, extracts energy efficiency performance indexes and establishes an energy efficiency base line model, utilizes a self-adaptive envelope technology to dynamically adjust the thermal performance of the building envelope to adapt to external climate change and internal thermal load requirements, starts an energy recovery system to convert internal waste heat and air flow energy of the building into available energy based on the optimized envelope characteristics, combines the energy efficiency data fed back in real time, dynamically adjusts operation strategies of building equipment by an intelligent scheduling system, optimizes energy efficiency, reduces unnecessary energy consumption, improves comfort level, and periodically evaluates the energy efficiency of the building to ensure that the building continuously maintains optimal energy efficiency under different seasons, environmental changes and use requirements.

Inventors

  • LIN YUWEN

Assignees

  • 北京华邑建设集团有限公司

Dates

Publication Date
20260505
Application Date
20260205

Claims (8)

  1. 1. The energy consumption optimization method for the integrated building structure parameters is characterized by comprising the following steps of: S10, acquiring geometric forms, enclosing structures, equipment configuration, personnel activities and external environment data of a building in real time through an intelligent sensor and a building information model system; s20, calculating heat load and energy consumption distribution of a building by using a building energy efficiency analysis tool based on the acquired data, extracting building energy efficiency performance indexes, and establishing a building energy efficiency baseline model; S30, dynamically adjusting the thermal performance of the building enclosure by utilizing the self-adaptive enclosure technology based on the energy efficiency baseline model so as to adapt to external climate change and internal heat load requirements; s40, starting an energy recovery system based on the optimized characteristics of the enclosure structure, and converting waste heat and air flow energy generated in the building into available energy for the building system to use; S50, intelligently scheduling the operation strategy of the building equipment by combining the energy efficiency data fed back in real time and the state of the building equipment so as to optimize the energy efficiency of the building, reduce unnecessary energy consumption and improve comfort; And S60, based on the adjusted equipment operation strategy and the real-time energy efficiency monitoring data, building energy efficiency is periodically estimated and adjusted, and the building is ensured to continuously maintain the optimal energy efficiency under different seasons, environmental changes and use requirements.
  2. 2. The method for optimizing energy consumption of integrated building structure parameters according to claim 1, wherein the geometrical form, the enclosure structure, the equipment configuration, the personnel activities and the external environment data of the building are collected in real time through the intelligent sensor and the building information model system, and the method comprises the following sub-steps: S101, acquiring environmental data such as temperature, humidity, CO 2 concentration, personnel activities, power loads and the like of the interior and the exterior of a building by arranging intelligent sensors in the interior of the building; s102, acquiring structural data such as geometric forms, building envelope materials, equipment configuration and the like of a building through a building information model system, and carrying out integrated analysis on the structural data and the data acquired by a sensor.
  3. 3. The method for optimizing energy consumption of integrated building structure parameters according to claim 1, wherein based on the collected data, calculating heat load and energy consumption distribution of the building by using a building energy efficiency analysis tool, extracting building energy efficiency performance indexes, and establishing a building energy efficiency baseline model, comprising the following sub-steps: s201, calculating internal and external heat loads of a building by using a building energy efficiency simulation tool, and considering heat conduction characteristics of an enclosure structure and loads such as equipment and personnel activities in the building; s202, according to a thermal load calculation result, energy efficiency performance indexes of the building are extracted, and an energy efficiency baseline model of the building is established according to the indexes.
  4. 4. The method for optimizing energy consumption of integrated building structure parameters according to claim 1, wherein the thermal performance of the building enclosure is dynamically adjusted to adapt to external climate change and internal thermal load requirements by using an adaptive enclosure technology based on an energy efficiency baseline model, comprising the following sub-steps: s301, evaluating thermal performance of the building outer facade, the window, the wall and other building enclosures according to the energy efficiency baseline model, and adjusting the design of the building enclosures according to external climate conditions and building load requirements; S302, dynamically adjusting the heat conductivity of the enclosure structure by using the self-adaptive material, so that the heat load of the building is optimized under different seasons and environmental conditions.
  5. 5. The method for optimizing energy consumption of integrated building structure parameters according to claim 1, wherein the energy recovery system is started based on the optimized building envelope characteristics, and waste heat and air flow energy generated in the building are utilized to convert the energy into usable energy for the building system, and the method comprises the following sub-steps: s401, calculating waste heat generated in a building according to the optimized thermal performance of the enclosure structure, and starting a heat recovery system to recover the waste heat; s402, starting an air flow energy recovery device, converting air flow energy generated by an air conditioner, a ventilation system and the like into heat energy or electric energy for supplementing building energy requirements.
  6. 6. The method for optimizing energy consumption of integrated building structure parameters according to claim 1, wherein the intelligent scheduling of building equipment operation strategies to optimize building energy efficiency, reduce unnecessary energy consumption, and improve comfort by combining real-time feedback energy efficiency data and building equipment status, comprises the following sub-steps: S501, monitoring the running state of the building equipment in real time through an intelligent scheduling system, and adjusting the running parameters of the equipment according to the external environment and the indoor requirements; S502, dynamically adjusting the working state of the building equipment based on the temperature and humidity in the building, personnel activities and other data, optimizing energy use and improving comfort level.
  7. 7. The method for optimizing energy consumption of integrated building structure parameters according to claim 1, wherein based on the adjusted equipment operation strategy and the real-time energy efficiency monitoring data, building energy efficiency is periodically evaluated and adjusted to ensure that the building continuously maintains the optimal energy efficiency under different seasons, environmental changes and use requirements, comprising the following sub-steps: S601, combining energy efficiency monitoring data fed back in real time with the running state of building equipment, periodically evaluating the energy efficiency of the building, and identifying an optimization space; S602, adjusting operation parameters and system configuration of the building equipment according to the energy efficiency evaluation result, and ensuring that the building continuously maintains the optimal energy efficiency in long-term operation.
  8. 8. An energy consumption optimization system for integrating building structure parameters, comprising: The data acquisition module is used for acquiring geometric form, building envelope, equipment configuration, personnel activities and external environment data of the building in real time through the intelligent sensor network and the building information model system; The energy efficiency analysis module is used for calculating the heat load and energy consumption distribution of the building by utilizing a building energy efficiency analysis tool based on the acquired data, extracting building energy efficiency performance indexes and establishing a building energy efficiency baseline model; The self-adaptive building envelope adjusting module is used for dynamically adjusting the thermal performance of the building envelope based on the energy efficiency baseline model so as to adapt to external climate change and internal heat load requirements; The energy recovery module is used for starting the energy recovery system based on the optimized characteristics of the building envelope, and converting the energy of waste heat and air flow generated in the building into available energy for the building system to use; the equipment scheduling module is used for intelligently scheduling the operation strategy of the building equipment by combining the energy efficiency data fed back in real time and the state of the building equipment so as to optimize the building energy efficiency, reduce unnecessary energy consumption and improve the comfort level; the energy efficiency evaluation module is used for periodically evaluating and adjusting the energy efficiency of the building based on the adjusted equipment operation strategy and the real-time energy efficiency monitoring data, so as to ensure that the building continuously maintains the optimal energy efficiency under different seasons, environmental changes and use requirements.

Description

Energy consumption optimization method and system for integrated building structure parameters Technical Field The invention relates to the technical field of building energy efficiency optimization, in particular to an energy consumption optimization method and system for integrated building structure parameters. Background With the increase of global energy consumption and the increase of environmental protection consciousness, building energy efficiency optimization has become a key field in building design and management. Building operations, particularly heating, ventilation and air conditioning (HVAC), lighting systems, and other electrical equipment, tend to consume large amounts of energy during their use. In addition, the influence of the thermal performance of the building outer vertical surface and the building enclosure on the building energy efficiency is not negligible, and the traditional building enclosure generally lacks flexible adjustment capability and cannot sufficiently cope with external environment changes and internal thermal load fluctuation. Existing building energy efficiency optimization methods focus on reducing energy consumption by increasing insulation or increasing plant efficiency, however, these methods generally rely on fixed designs and parameters and cannot be dynamically adjusted according to environmental changes and actual use of the building. With the advent of intelligent building technology, optimizing building energy efficiency using real-time data monitoring and intelligent control has become a trend, but some technical challenges still remain. At present, most schemes in building energy efficiency optimization technology cannot effectively integrate multiple aspects of building design, building envelope, energy recovery, equipment scheduling and the like, and the flexibility and the real-time adjustment capability in coping with complex environmental changes are still insufficient. Furthermore, despite the research and application of energy recovery systems and adaptive materials, how to efficiently combine these technologies to achieve overall optimization of building energy efficiency remains an unsolved technical challenge. Therefore, how to optimize the energy efficiency of the building based on the factors of building structure parameters, building envelope, energy recovery system, intelligent scheduling and the like through an integrated technical scheme has become an important subject in the current research and application of the energy efficiency of the building. Disclosure of Invention The invention provides an energy consumption optimization method for integrated building structure parameters, which comprises the following steps: S10, acquiring geometric forms, enclosing structures, equipment configuration, personnel activities and external environment data of a building in real time through an intelligent sensor and a building information model system; s20, calculating heat load and energy consumption distribution of a building by using a building energy efficiency analysis tool based on the acquired data, extracting building energy efficiency performance indexes, and establishing a building energy efficiency baseline model; S30, dynamically adjusting the thermal performance of the building enclosure by utilizing the self-adaptive enclosure technology based on the energy efficiency baseline model so as to adapt to external climate change and internal heat load requirements; s40, starting an energy recovery system based on the optimized characteristics of the enclosure structure, and converting waste heat and air flow energy generated in the building into available energy for the building system to use; S50, intelligently scheduling the operation strategy of the building equipment by combining the energy efficiency data fed back in real time and the state of the building equipment so as to optimize the energy efficiency of the building, reduce unnecessary energy consumption and improve comfort; And S60, based on the adjusted equipment operation strategy and the real-time energy efficiency monitoring data, building energy efficiency is periodically estimated and adjusted, and the building is ensured to continuously maintain the optimal energy efficiency under different seasons, environmental changes and use requirements. The energy consumption optimization method for integrating building structure parameters, as described above, wherein the geometrical form, the enclosure structure, the equipment configuration, the personnel activities and the external environment data of the building are collected in real time through the intelligent sensor and the building information model system, and the method comprises the following steps: S101, acquiring environmental data such as temperature, humidity, CO 2 concentration, personnel activities, power loads and the like of the interior and the exterior of a building by arranging intelligent sensors in the inter