Abstract: Waterfront spaces are ecologically fragile and visually sensitive, requiring PEDF system capacity planning to balance ecological protection red lines and landscape constraints—qualitative requirements traditional methods cannot quantify. This study presents a multi-objective optimization framework that converts ecological red lines into computable constraints, quantifies landscape controls as exposure degree and visual penetration rate, incorporates landscape premium cost, and formulates a dual-objective model minimizing annualized total cost and carbon emissions, solved via the weighted-sum method. Simulations show the method balances low-carbon benefits and economic costs while meeting ecological and landscape requirements, providing a quantitative reference for landscape-sensitive waterfront distributed energy planning.