3 results about "Economic feasibility" patented technology

Provided is a method for simulating creation of a smart farm complex by using geographic information, the method comprising: a target area input step of inputting, from a terminal to a server, information for specifying a target area in which is to be created a smart farm complex comprising at least one of a processing and distribution facility, an exhibition and learning facility, and a commercial facility together with a smart farm; a complex design step of selecting each facility constituting the smart farm complex to be created in the target area specified via geographic information and setting parameters of the area and image design of each zone of each facility from the terminal to the server; a smart farm design step of setting, from the terminal to the server, parameters of crops, smart farm-specific area, smart farm type, external facilities, internal facilities, and energy facilities of the smart farm; and an economic feasibility analysis step of performing, on the server, a simulation of a creation cost, an operation cost, and a sales amount of the smart farm, on the basis of parameters of the respective facilities of the smart farm complex and respective parameters of the smart farm.

This invention relates to the field of energy and power system planning and evaluation technology, specifically to an evaluation method, apparatus, and equipment for clean and low-carbon transformation technology paths of coal-fired power. In this invention, by integrating the full life-cycle carbon emission data of multiple technology paths and simulating the dynamics of actual power supply and demand through operational simulation, both the carbon emission per kilowatt-hour and the levelized cost per kilowatt-hour of the transformation path are simultaneously used as optimization objectives, with load fulfillment rate as a constraint. Using a multi-objective optimization algorithm, a series of Pareto optimal paths can be automatically identified under a given scenario. These paths clearly reveal the trade-off between cost and emission reduction, thereby helping decision-makers select transformation strategies that achieve the optimal balance between carbon emissions and power generation costs while ensuring a safe and reliable power supply. This provides accurate and reliable quantitative basis for the coal-fired power industry to formulate a low-carbon development path that is both environmentally friendly and economically feasible.

This invention provides a method for assessing the hazard of ridge erosion, analyzing the urgency of remediation, and optimizing remediation efforts. The method includes: acquiring and preprocessing multi-source data; identifying extreme weather events and establishing a model linking them to ridge erosion; assessing the intensity of anthropogenic disturbances; extracting ridge erosion characteristics and verifying them in the field; constructing an evaluation index system by integrating extreme weather, anthropogenic disturbances, and ridge erosion characteristics; constructing a CNN-RNN-Transformer fusion deep learning model for comprehensive hazard assessment; constructing an urgency assessment model based on the evaluation results and considering factors such as the township's leading industries and the economic feasibility of remediation; using GIS technology to visualize the evaluation results, generating a grade distribution map, and proposing remediation measures; optimizing the parameters of the remediation measures; and constructing an industry-specific economic benefit model to assess the economic feasibility of remediation. This invention solves the technical problem that traditional ridge erosion hazard assessments do not fully consider external factors such as extreme weather and anthropogenic disturbances, leading to biased evaluation results and difficulty in accurate remediation.