互联区域供暖网络的智能控制——以“莱布尼茨100%可再生区域供暖”为例

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2022-05-01 DOI:10.1016/j.segy.2022.100069
Valentin Kaisermayer , Jakob Binder , Daniel Muschick , Günther Beck , Wolfgang Rosegger , Martin Horn , Markus Gölles , Joachim Kelz , Ingo Leusbrock
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引用次数: 4

摘要

区域供热(DH)网络具有智能集成和组合可再生能源、废热、热能储存、热消费者以及与其他部门耦合的潜力。随着城市和直辖市的发展,相应的网络也在发展。区域供热网络的增长带来了与邻近网络相互连接的可能性。将以前分离的DH网络互连可以在灵活性、整体效率、可再生能源的份额和供应安全方面带来许多优势。除了水力连接网络的问题外,互联DH系统的主要挑战是多个馈线点的协调。它可以面对整个DH系统的控制概念,这些概念定义了最优运行策略。本文提出了互联DH网络的两种控制方法,优化供给侧和需求侧以减少二氧化碳排放。在供应端,基于优化的能源管理系统根据需求预测定义运营策略。在需求侧,使用需求侧管理对用户变电站的运行产生有利于供应的影响。所提出的方法在模拟中进行了测试,并在奥地利莱布尼茨的DH网络上进行了实际实现。初步结果表明,由于更好地利用了整个DH系统的生产能力,有希望减少35%的二氧化碳排放,降低7%的燃料成本。
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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Smart control of interconnected district heating networks on the example of “100% Renewable District Heating Leibnitz”

District heating (DH) networks have the potential for intelligent integration and combination of renewable energy sources, waste heat, thermal energy storage, heat consumers, and coupling with other sectors. As cities and municipalities grow, so do the corresponding networks. This growth of district heating networks introduces the possibility of interconnecting them with neighbouring networks. Interconnecting formerly separated DH networks can result in many advantages concerning flexibility, overall efficiency, the share of renewable sources, and security of supply. Apart from the problem of hydraulically connecting the networks, the main challenge of interconnected DH systems is the coordination of multiple feed-in points. It can be faced with control concepts for the overall DH system which define optimal operation strategies. This paper presents two control approaches for interconnected DH networks that optimize the supply as well as the demand side to reduce CO2 emissions. On the supply side, an optimization-based energy management system defines operation strategies based on demand forecasts. On the demand side, the operation of consumer substations is influenced in favour of the supply using demand side management. The proposed approaches were tested both in simulation and in a real implementation on the DH network of Leibnitz, Austria. First results show a promising reduction of CO2 emissions by 35% and a fuel cost reduction of 7% due to better utilization of the production capacities of the overall DH system.

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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
期刊最新文献
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