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Multi-objective Optimization of Hybrid Energy Systems Based on Life Cycle Exergy and Economic Criteria

Energy and Built Environment(2024)

Department of Energy Engineering | Engineering Science Department | School of Mechanical Engineering

Cited 0|Views11
Abstract
The present study aims to develop a novel optimal design of hybrid energy systems based on exergy and lifecycle concepts using genetic algorithms. The model consists of both stand-alone and on-grid options with scenarios for exchanging energy with the grid. The objectives include cost minimization or benefit maximization primarily, and lifecycle exergy efficiency, i.e., cost as the sustainability index secondarily. This research considers renewable sources such as solar, wind, hydropower, and hydrogen production and storage in addition to conventional diesel generators. The optimization was performed subject to weather conditions and solar radiation profiles, demand, and environmental or economic aspects. Also, the model contains various modules such as water-heating, waste energy utilization, as well as the options of power exchange with the distribution network and injection of hydrogen produced from excess renewable sources into the gas network. The application was demonstrated in a case study, where specific demands and the climate of Tehran were assumed. The case study considers four scenarios, including standalone, completely on-grid, on-grid with a non-backup generator, and on-grid without an energy sale option. The first optimal objective, the levelized unit cost of energy for the standalone system, is $0.22 per kWh. Moreover, the second optimal objective, the lifecycle exergy cost, ranges from 1.93 to 4.13 in different grid-connection states.
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Key words
Hybrid energy system, Life cycle Exergy, Optimization,Renewable energy, Sustainability
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要点】:本研究提出了一种基于生命周期焓和经济标准的混合能源系统多目标优化方法,利用遗传算法实现系统的最优设计,创新地结合了可再生能源和常规能源,以实现成本最小化和生命周期焓效率最大化。

方法】:通过构建包含独立运行和并网选项的模型,应用遗传算法进行多目标优化,主要优化目标是成本最小化或收益最大化,次要目标是生命周期焓效率。

实验】:在考虑天气条件、太阳辐射剖面、需求及环境或经济因素的情况下,对模型进行了优化。研究以德黑兰的具体需求和气候为案例,考虑了四种场景:独立运行、完全并网、并网带备用发电机以及并网但不卖电。实验使用的数据集包括特定的能源需求和气候条件。结果显示,独立系统的单位能源平准化成本为每千瓦时0.22美元,而生命周期焓成本在不同并网状态下介于1.93到4.13之间。