Optimal Expansion Planning of Energy Hubs: The Future of CHP Sites in Europe⁎

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2024-01-01 DOI:10.1016/j.ifacol.2024.07.483

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引用次数: 0

Abstract

In this article, an open-source expansion planning tool for energy hubs, based on the Python library PyPSA, is presented. The expansion planning optimization uses an operational optimization based on hourly timeseries. The energy hub model contains detailed energy generation, conversion, conditioning, and storage components for electricity, heat, and various chemicals, including CH₄, H₂, and CO₂. For heat, multiple temperature levels are considered. As an example, the tool is used to optimize the expansion planning for a Waste-to-Energy CHP plant and district heating (DH) network in Germany. Techno-economical conditions for 2023 and projected conditions for 2050 are used as inputs. Results are analysed using timeseries and frequency analysis. This provides insight in how each planned component should be used to optimize revenues. The analyses show the importance of using hourly timeseries as input, as certain processes are operated in close alignment with periodic fluctuations in electricity prices or heat demand. Parameters are varied to evaluate the robustness of the investment decisions. The optimization results show that the studied CHP plant could transform to an energy hub, benefiting from synergetic effects when coupling multiple energy sectors using Power-to-X technologies. The tool can be used to assist operators in their investment planning to shape the future of CHP sites in Europe.

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能源枢纽的优化扩展规划：欧洲热电联产场址的未来⁎

本文介绍了基于 Python 库 PyPSA 的能源枢纽开源扩容规划工具。扩建规划优化使用基于每小时时间序列的运行优化。能源枢纽模型包含详细的能源生产、转换、调节和存储组件，包括电力、热能和各种化学品（包括 CH4、H2 和 CO2）。对于热量，考虑了多个温度等级。例如，该工具可用于优化德国垃圾发电热电联产厂和区域供热（DH）网络的扩建规划。将 2023 年的技术经济条件和 2050 年的预测条件作为输入。使用时间序列和频率分析法对结果进行分析。这有助于深入了解应如何使用每个计划组件来优化收益。分析表明了使用小时时间序列作为输入的重要性，因为某些流程的运行与电价或热需求的周期性波动密切相关。通过改变参数来评估投资决策的稳健性。优化结果表明，所研究的热电联产厂可转变为能源枢纽，在使用 Power-to-X 技术将多个能源部门耦合时，可从协同效应中获益。该工具可用于协助运营商进行投资规划，以塑造欧洲热电联产场址的未来。

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

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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