Green hydrogen， as a form of energy with enormous potential， its high production cost is the main factor limiting its development. The article proposes a modeling and production planning solution suitable for the investment phase of new energy hydrogen production projects to assist feasibility assessment and investment allocation decisions. The article focuses on three key aspects： modeling， production planning， and optimization. In terms of modeling， responsive， modular， and parallel design are used to make the model more flexible and efficient， and multiple built in modules are pre set for known scenarios， covering most of the computational logic. In terms of production planning， specialized algorithms have been designed to meet the different demands of stable hydrogen supply and fluctuating hydrogen supply. By reasonably arranging the production during different time periods， the new energy electricity with fluctuating characteristics can be maximally utilized. In terms of optimization， model based optimization frameworks and efficient mixed integer programming algorithms effectively search for the optimal investment configuration， optimize investment plans， improve overall project efficiency， and reduce green hydrogen production costs.