Modelling and optimization of an intelligent environmental energy system in an intelligent area

IF 0.9 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Neural Network World Pub Date : 2021-01-01 DOI:10.14311/NNW.2021.31.003

Bohumír Garlík

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引用次数: 1

Abstract

: The article deals with the current state of energy consumption, the development of distribution networks in the context of its decentralization and integrated community energy systems. The article focuses on the issue and optimization of the operation of EnergyHubs (EH) – energy centres in terms of solving environmental aspects using a mathematical model in the GAMS environment. The acquired knowledge and results of simulations were then applied to a speciﬁc urban area to ﬁnd the optimal variant of EH. The aim of the research is to present its results at the level of cleaner production, improvement of the environment, signiﬁcant reduction of CO 2 and sustainability of society. My experience proves that the achievement of sustainable development goals represents fundamental gaps in research and practical applications, especially at the level of speciﬁc projects. It is mainly the application of insuﬃcient indicators and work methodologies in the design of building projects with almost zero energy consumption. Another short-coming is the coordination of design procedures and applications of optimization and simulation methods necessary to address the energy performance of buildings or clusters of buildings. In addition, the results show growing expectations about the added value of applying artiﬁcial intelligence in meeting sustainable development goals, through new data sources that inevitably enter the energy sustainability design process. energy losses, the basic process of designing a Smart Area environmental system. The state of the system in terms of all control and state variables, including energy flows, is defined by other variables. I present the EH concept and its modelling, including the optimization of the hybrid electricity system and gas network. The general framework for modelling power systems based on the hub concept is little known at this time. It is a medium-term management of EH based on the price of electricity

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智能区域智能环境能源系统的建模与优化

本文论述了能源消费的现状，配电网络的发展在其权力下放和综合社区能源系统的背景下。本文重点讨论了能源枢纽(EH) -能源中心在GAMS环境中使用数学模型解决环境问题方面的问题和优化操作。然后将所获得的知识和模拟结果应用于特定的城市区域，以寻找EH的最佳变体。研究的目的是在清洁生产、改善环境、显著减少CO 2和社会可持续性的水平上展示其结果。我的经验证明，可持续发展目标的实现在研究和实际应用方面存在根本性差距，特别是在具体项目层面。主要是在几乎为零能耗的建筑项目设计中，指标和工作方法的不足。另一个缺点是协调设计程序和应用优化和模拟方法，这是解决建筑物或建筑物群的能源性能所必需的。此外，研究结果显示，人们对通过不可避免地进入能源可持续设计过程的新数据源，将人工智能应用于实现可持续发展目标的附加价值的期望越来越高。能量损失，设计智能区域环境系统的基本过程。系统的所有控制变量和状态变量(包括能量流)的状态由其他变量定义。本文介绍了EH的概念及其建模，包括混合电力系统和燃气网络的优化。目前，基于轮毂概念的电力系统建模的一般框架还很少为人所知。这是一种基于电价的EH中期管理

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neural Network World 工程技术-计算机：人工智能

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Neural Network World is a bimonthly journal providing the latest developments in the field of informatics with attention mainly devoted to the problems of: brain science, theory and applications of neural networks (both artificial and natural), fuzzy-neural systems, methods and applications of evolutionary algorithms, methods of parallel and mass-parallel computing, problems of soft-computing, methods of artificial intelligence.