Ocean thermal energy conversion systems (OTEC) represent an attractive economic alternative in communities allocated in coastal areas for producing electric utilities reducing fossil fuel consumption and emissions. This power generation technology uses the temperature difference between the deep cold water and warm surface water of the ocean to produce electricity using the principles of the Rankine cycle. This paper presents a Non-Linear Programming (NLP) multi-period and multi-objective model for the analysis of OTEC systems. The multi-objective approach consists in to maximize the exergy efficiency of the cycle while the total annual cost of the system is minimized. Variations on solar resources availability, energy demands, and ambient conditions are addressed considering hourly and seasonal profiles from a given housing complex allocated on the Pacific Coast from Mexico.

海洋热能转换系统（OTEC）在分配给沿海地区的社区中是一种有吸引力的经济替代方案，用于生产电力设施，以减少化石燃料的消耗和排放。这项发电技术利用朗肯循环原理，利用海洋深层冷水和温暖地表水之间的温差来发电。本文提出了一种用于OTEC系统分析的非线性规划（NLP）多周期多目标模型。多目标方法在于最大化循环的火用效率，同时最小化系统的年度总成本。太阳能资源可用性，能源需求，