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A P-graph model for the synthesis of tri-generation systems for multi-period operation

机译:用于多周期操作的三代系统综合的P图模型

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The progressive development of renewable energy technologies is attributed to the growing energy demand and the depletion of non-renewable resources. Renewable energy technologies are usually characterized by intermittent availability of resources, affecting the capability of energy systems to meet projected energy demands. Tri-generation, or the simultaneous generation of three energy types, becomes a potential solution wherein integration of renewable energy technologies is used to maximize resource efficiency. Synthesizing these systems will require the consideration of techno-economic data and the use of computer-aided techniques to facilitate optimization and design. Mixed-Integer Linear Programming is a commonly used technique for Process Network Synthesis, but its application to complex problems becomes problematic due to numerous alternatives and parameter variations. The Process graph framework offers a less laborious option with its unambiguous representation of process systems, utilizing three algorithms in generating all combinatorially feasible solutions that present the user with both optimal and near-optimal solutions. These become helpful in decision-making especially when factors such as those impossible to be captured mathematically need to be considered. This work presents a P-graph model developed for the synthesis and design of multi-period, biomass-fired, tri-generation systems with a case study for power generation in the Philippines to demonstrate its capabilities.
机译:可再生能源技术的不断发展归因于不断增长的能源需求和不可再生资源的枯竭。可再生能源技术通常的特点是资源间歇性供应,影响能源系统满足预计能源需求的能力。三联发电或三种能源的同时发电成为一种潜在的解决方案,其中可再生能源技术的集成可用于最大化资源效率。综合这些系统将需要考虑技术经济数据,并使用计算机辅助技术来促进优化和设计。混合整数线性规划是过程网络综合的一种常用技术,但是由于众多选择和参数变化,将其应用于复杂问题变得成问题。过程图框架通过清楚地表示过程系统,利用三种算法生成所有组合可行的解决方案,为用户提供最佳和接近最优的解决方案,从而提供了一个省力的选项。这些对于决策尤其有用,尤其是当需要考虑那些无法用数学方法捕获的因素时。这项工作提出了一个用于合成和设计多周期生物质能发电的三代系统的P图模型,并以菲律宾的发电案例研究为例,以展示其功能。

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