CN-122022758-A - Zero-carbon park-oriented CCUS system full life cycle optimization scheduling method

CN122022758ACN 122022758 ACN122022758 ACN 122022758ACN-122022758-A

Abstract

The invention provides a CCUS system full life cycle optimization scheduling method for a zero-carbon park, which constructs a standardized data management system and a multidimensional model through data preparation, dynamic optimization, result application and long-term iteration mechanisms of the whole process, and realizes full life cycle accurate scheduling and parameter self-adaptive updating of carbon capture, utilization and sealing processes. The method strengthens the coupling capability of the campus CCUS system and the energy scheduling platform, provides technical support for real-time monitoring and optimizing decision-making of the carbon flow of the campus, and ensures the high efficiency and the sustainability of the carbon capture and utilization system in long-term operation.

Inventors

WEI YIMING
WU YUN
HAN TE
LV YANG
ZHANG HONGLIANG
WANG PENGTAO
WANG HAOYU
YU BIYING
LV HEWU
KANG JIANING
WANG JINWEI
LIAO HUA
Liu Lancui

Assignees

北京理工大学
山东国舜建设集团有限公司

Dates

Publication Date: 20260512
Application Date: 20251216

Claims (9)

1. A zero-carbon park-oriented CCUS system full life cycle optimization scheduling method is characterized by comprising the following steps: constructing a residual life cycle matrix and a sequestration land capacity attenuation model of enterprise equipment, and updating the activity state of the enterprise and the residual acceptance capacity of the sequestration land in real time based on the equipment physical life attenuation curve and economic life change caused by industrial technical progress; According to the historical injection quantity data and the current annual injection quantity, dynamically calculating the remaining capacity of the sealed land, and taking the remaining capacity as a constraint parameter of the optimal scheduling of the subsequent annual; Judging whether an enterprise has CCUS reconstruction feasibility or not based on a dynamic ratio threshold model of the residual life and the investment recovery period, and triggering a reconstruction decision when the ratio is larger than a preset threshold; and adopting a rolling iteration strategy of annual optimization and quarter fine tuning, updating system parameters each year and executing global optimization, and carrying out local correction according to actual operation data each quarter to form a data closed-loop updating mechanism.
2. The method of claim 1, wherein constructing the enterprise equipment residual life cycle matrix and the sequestered capacity fade model, updating the enterprise activity status and the sequestered residual admission capacity in real-time based on the equipment physical life decay curve and economic life changes due to industry technological advances, further comprises: Calculating the residual physical life of the enterprise equipment in the current year through a physical life decay curve and a dynamic depreciation rate model in the residual life matrix; and combining with economic life change brought by technical progress of industry, adopting a technical substitution rate model to dynamically adjust the economic life of equipment, and updating whether an enterprise has the active state of CCUS reconstruction or not based on the ratio of the residual physical life to the economic life.
3. The method of claim 1, wherein the dynamically calculating the remaining capacity of the sequestration based on the historical injection amount data and the current annual injection amount as constraint parameters for the optimal scheduling of the subsequent annual, further comprises: Subtracting the accumulated injection quantity of the past year from the initial sequestration potential by adopting a sequestration site capacity attenuation formula to obtain the residual admittance of the current annual sequestration site; And dynamically adjusting the injection upper limit of the sequestration site according to the residual admittance and the geological condition change parameters of the sequestration site, and taking the upper limit as a capacity constraint parameter in a subsequent annual optimization model.
4. The method of claim 1, wherein the determining whether the enterprise has CCUS retrofit feasibility based on the dynamic ratio threshold model of remaining life to investment recovery period, triggering a retrofit decision when the ratio is greater than a preset threshold, further comprises: according to the technical progress speed of the industry of the enterprise, the dynamic ratio threshold value is adaptively adjusted to ensure that the transformation decision is matched with the industry development trend; When the ratio of remaining life to investment recovery period is less than the dynamic threshold, the system automatically selects short-term emissions reduction measures instead of CCUS modification to avoid wasted investment.
5. The method as recited in claim 1, further comprising: and calculating the actual power supply distance between the enterprise and the wind-light power plant based on a spherical distance formula, and taking the distance as a constraint condition of a wind-light direct power supply path so as to optimize a power supply structure and reduce power transmission loss.
6. Zero carbon park-oriented CCUS system full life cycle optimizing and scheduling device is characterized by comprising: The equipment life cycle modeling module is used for constructing an enterprise equipment residual life cycle matrix and a sequestration place capacity attenuation model, and updating the enterprise active state and the sequestration place residual admittance capacity in real time based on the equipment physical life attenuation curve and the economic life change caused by the technical progress of the industry; The storage capacity calculation module is used for dynamically calculating the residual capacity of the storage according to the historical injection quantity data and the current annual injection quantity, and taking the residual capacity as a constraint parameter of the subsequent annual optimization scheduling; The transformation feasibility judging module is used for judging whether the enterprise has CCUS transformation feasibility or not based on a dynamic ratio threshold model of the residual life and the investment recovery period, and triggering transformation decision when the ratio is larger than a preset threshold; The rolling optimization scheduling module is used for updating system parameters and executing global optimization every year by adopting a rolling iteration strategy of annual optimization and quarter fine tuning, and carrying out local correction according to actual operation data every quarter to form a data closed-loop updating mechanism.
7. An electronic device comprising a processor and a memory communicatively coupled to the processor; The memory stores computer-executable instructions; the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-5.
8. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-5.
9. A computer program product comprising a computer program which, when executed by a processor, implements the method of any of claims 1-5.

Description

Zero-carbon park-oriented CCUS system full life cycle optimization scheduling method Technical Field The invention relates to the technical field of zero-carbon park scheduling, in particular to a zero-carbon park-oriented CCUS system full life cycle optimization scheduling method. Background With the deep advancement of the 'double carbon' target, the zero-carbon park gradually becomes an important carrier for green low-carbon transformation in the industrial field. The Carbon Capturing and Utilizing and Sealing (CCUS) technology is used as a core supporting means for realizing deep carbon reduction, and the carbon capturing and sealing technology is extended from the traditional single-point treatment link to a park-level integrated carbon management system. The system covers key links of energy production, industrial process, carbon capture, transportation, sealing and storage, resource recycling and the like, and forms a multi-objective optimization structure taking emission reduction efficiency, economic feasibility and system sustainability as cores. The existing research focuses on independent link optimization, such as type selection of capturing equipment, transportation path planning, sealing and storage matching and the like, and builds a carbon emission reduction scheduling frame based on static parameter modeling, and part of schemes attempt to introduce renewable energy sources such as wind and light so as to improve the system greening level. However, the method has the problems of parameter staticization, insufficient life cycle modeling, low coupling degree across links and the like, and is difficult to meet the cooperative operation requirements of multiple energy sources and multiple discharge main bodies in a zero-carbon park. Specifically, the conventional CCUS scheduling model often adopts fixed equipment life cycle and sequestration capacity parameters, and lacks a real-time tracking and updating mechanism for dynamic factors such as equipment attenuation, sequestration capacity attenuation and the like, so that hysteresis or lead phenomenon occurs in a system in transformation decision, and resource waste or emission reduction target deviation is caused. Meanwhile, a single cost minimization optimization target ignores the cooperative balance among renewable energy consumption efficiency, carbon emission reduction constraint and system stability, and is difficult to realize full life cycle and multidimensional dynamic optimization and decision support. Disclosure of Invention The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, a first object of the present invention is to provide a zero-carbon park-oriented full life cycle optimization scheduling method for a CCUS system. The second purpose of the invention is to provide a zero-carbon park-oriented CCUS system full life cycle optimization scheduling device. A third object of the present invention is to propose an electronic device. A fourth object of the present invention is to propose a computer readable storage medium. A fifth object of the invention is to propose a computer programme product. In order to achieve the above purpose, the embodiment of the first aspect of the invention provides a zero-carbon park-oriented CCUS system full life cycle optimization scheduling method, which comprises the steps of S1, constructing an enterprise equipment residual life cycle matrix and a sequestration place capacity attenuation model, updating the enterprise active state and the sequestration place residual admittance capacity in real time based on the equipment physical life attenuation curve and economic life change caused by industry technology progress, S2, dynamically calculating the sequestration place residual capacity according to historical injection amount data and current annual injection amount and taking the sequestration place residual capacity as constraint parameters of follow-up annual optimization scheduling, S3, judging whether the enterprise has CCUS reconstruction feasibility based on a dynamic ratio threshold model of the residual life and an investment recovery period, triggering reconstruction decisions when the ratio is larger than a preset threshold, S4, adopting a annual optimization + quarterly fine tuning rolling iteration strategy, updating system parameters and executing global optimization, and carrying out local correction according to actual operation data in each quarter to form a data closed-loop updating mechanism. In one embodiment of the invention, the method for constructing the residual life cycle matrix and the sequestration ground capacity attenuation model of the enterprise equipment comprises the steps of updating the activity state of the enterprise and the residual acceptance capacity of the sequestration ground in real time based on the equipment physical life attenuation curve and the economic life change caused by the techn