Optimal Design Method for Distributed Energy System Using Genetic Algorithm
Optimal Design Method for Distributed Energy System Using Genetic Algorithm
复制标题
基于遗传算法的分布式能源系统优化设计方法
DOI：
10.3130/aije.74.869
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
R. Ooka
中科院分区：
文献类型：
--
作者：
G. Kayo;R. Ooka
在建筑领域，许多研究都在研究提高能源效率，减少能源消耗和组织建筑物中的能源，或转向低碳燃料，包括更高比例的可再生能源。可再生能源和低碳能源可以提供给建筑物或通过分布式发电技术在现场产生。在建筑物间分布式发电系统中，能源需求和能源供应之间存在大量的组合。因此，利益相关者很难对哪种能源系统是最好的，什么样的设备运行方式是最好的，以最大限度地减少对环境的影响做出定量评估。利用遗传算法处理非线性优化问题的特点，提出了建筑能源系统的优化设计方法。在这项研究中，遗传算法参数的预测精度的影响进行了估计，这种方法适用于分布式能源系统使用热电联产系统。结果表明，热电联产系统具有一定的节能潜力。
In building sector, improving energy efficiency, reducing energy consumption and organizing energy in buildings, or switching to low-carbon fuels including a higher share of renewable energy are studied in many researches. Renewable and low-carbon energy can be supplied to buildings or generated on-site by distributed generation technologies. In distributed generation system among buildings, there is enormous amount of combinations between energy demand and energy supply. So it is difficult for stakeholders to make a quantitative evaluation about which energy system is the best, what way to operate equipment is the best, in order to minimize environmental impact. The authors have developed the optimal design method for building energy systems using “Genetic Algorithm (GA)” which could deal with nonlinear optimization problems. In this study, the effect of GA parameters on the prediction accuracy is estimated and this method is applied for distributed energy system using cogeneration system. The result shows that the cogeneration system has the potential to reduce energy consumption to some extent.