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基于清洁环境条件的并网可再生能源枢纽的可靠运行,该枢纽配备热泵、氢气、热能和压缩空气存储系统。

Eco-reliable operation based on clean environmental condition for the grid-connected renewable energy hubs with heat pump and hydrogen, thermal and compressed air storage systems.

作者信息

Eladeb Aboulbaba, Basem Ali, Sharma Aman, Dhawan Aashim, Sharma Prabhat, Bouzidi Mohamed, Kolsi Lioua, Naderi Drehshori Elnaz

机构信息

Department of Chemical and Materials Engineering, College of Engineering, Northern Border University, P.O. Box 1321, Arar, Saudi Arabia.

Faculty of Engineering, Warith Al-Anbiyaa University, Karbala, 56001, Iraq.

出版信息

Sci Rep. 2025 Jan 2;15(1):464. doi: 10.1038/s41598-024-84231-4.

DOI:10.1038/s41598-024-84231-4
PMID:39747608
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11696766/
Abstract

Energy hubs, with their diverse regeneration and storage sources, can engage concurrently in energy transfer and storage. It is anticipated that managing the energy of these hubs within energy networks could enhance economic, environmental, and technical metrics. This article explains how electrical and thermal network hubs manage their energy consumption in the context of the multi-criteria objectives of efficiency, sustainability, reliability of the network operator, and operation. The hubs have solar power, a bio-waste unit, and wind turbines among other sustainable energy sources. They have compressed air, heat, and hydrogen storage units installed. Thermal energy is produced by means of a heat pump from electrical energy. Combining heat and power technology is used by both the bio-waste unit and the hydrogen storage unit. Subject to the operating model and reliability restrictions of these networks, the suggested strategy seeks to reduce the overall estimated costs of energy procurement, dependability, and emissions within the designated networks. Additional constraints of the problem encompass the operational model of sources and storages, conceptualized as an energy hub. This plan takes into account uncertainties about demand, energy costs, renewable energy sources, and the availability of network equipment. Reliability is accurately predicted by scenario-based techniques to stochastic optimization. The simultaneous modeling of economic, operational, reliability, and environmental indicators as well as the evaluation of the capabilities of heat pumps, biowaste units, compressed air and hydrogen storage units, and heat pumps in the hub performance are seen to be the new aspects of this approach. In summary, numerical results validate the usefulness of the proposed approach in enhancing the technical and financial aspects of thermal and electrical networks via efficient hub energy management. The incorporation of renewable hubs, equipped with storage units and heat pumps, has led to improvements in the economic, operational, reliability, and environmental conditions by approximately 44.1%, 28-90%, 85.6%, and 72.1% respectively, in comparison to load distribution studies.

摘要

能源枢纽凭借其多样的再生和存储源,能够同时进行能量传输和存储。预计在能源网络中管理这些枢纽的能源可提升经济、环境和技术指标。本文解释了电气和热力网络枢纽如何在效率、可持续性、网络运营商可靠性以及运营等多标准目标的背景下管理其能源消耗。这些枢纽拥有太阳能、生物废弃物处理单元和风力涡轮机等其他可持续能源。它们还安装了压缩空气、热能和氢气存储单元。热能通过热泵由电能产生。生物废弃物处理单元和氢气存储单元均采用热电联产技术。在这些网络的运行模式和可靠性限制条件下,所建议的策略旨在降低指定网络内能源采购、可靠性和排放的总体估计成本。该问题的其他约束包括作为能源枢纽概念化的源和存储的运行模式。该计划考虑了需求、能源成本、可再生能源以及网络设备可用性的不确定性。通过基于情景的随机优化技术准确预测可靠性。将经济、运营、可靠性和环境指标同时建模,以及评估热泵、生物废弃物处理单元、压缩空气和氢气存储单元以及热泵在枢纽性能方面的能力,被视为该方法的新方面。总之,数值结果验证了所提方法通过高效的枢纽能源管理在提升热力和电气网络的技术和财务方面的有用性。与负荷分配研究相比,配备存储单元和热泵的可再生枢纽的纳入分别使经济、运营、可靠性和环境条件改善了约44.1%、28 - 90%、85.6%和72.1%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/e7410610e5ee/41598_2024_84231_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/fc66f0a65807/41598_2024_84231_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/314274e07ad6/41598_2024_84231_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/8219d97f42ef/41598_2024_84231_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/9d329c8ebaf6/41598_2024_84231_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/4ea02a3cafdc/41598_2024_84231_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/60de4dfa00f9/41598_2024_84231_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/be74a3238473/41598_2024_84231_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/e7410610e5ee/41598_2024_84231_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/fc66f0a65807/41598_2024_84231_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/314274e07ad6/41598_2024_84231_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/8219d97f42ef/41598_2024_84231_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/9d329c8ebaf6/41598_2024_84231_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/4ea02a3cafdc/41598_2024_84231_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/60de4dfa00f9/41598_2024_84231_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/be74a3238473/41598_2024_84231_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/11696766/e7410610e5ee/41598_2024_84231_Fig8_HTML.jpg

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