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向净零排放转型:光伏/热系统与水力发电机的集成以及需求侧管理的影响。

Transition towards net zero emissions: Integration of a PV/T system with a hydroelectric generator and the impact of demand-side management.

作者信息

Kenfack Armel Zambou, Nematchoua Modeste Kameni, Simo Elie, Bangoup Ntegmi Ghislain Junior, Chara-Dackou Venant Sorel

机构信息

Energy and Environment Laboratory, Department of Physics, Faculty of Science, University of Yaoundé I, PO Box 812, Cameroon.

Carnot Energy Laboratory (CEL), Department of Physics, Faculty of Science, University of Bangui, PO Box 1450, Bangui, Central African Republic.

出版信息

Heliyon. 2024 Aug 28;10(17):e37099. doi: 10.1016/j.heliyon.2024.e37099. eCollection 2024 Sep 15.

Abstract

With the aim of diversifying different energy sources and achieving net zero emissions, hybrid renewable energy sources (HRES) represent the future of the world. However, several HRES simulation software do not integrate the Photovoltaic/thermal (PV/T) system. This article designs an optimal design model for a tri-hybrid Photovoltaic/thermal/hydroelectric (PV/T/H) system for a rural locality in the North Cameroon region. The two Demand Side Management (DSM) strategies used reveal that the DSM strategy significantly reduced the energy cost by 59 % and the emission by 22 % compared to the No-DSM mode. Although the use of battery storage (BSS) is used in both cases, the optimal solutions obtained thanks to the multi-objective optimization method implemented on Matlab led to 418 PV/T panels, 2 MH generators, 2 diesel generators (DG) and 217 PV/T panels and 1 DG for DSM and No-DSM mode respectively. This study is a demonstration of the effect of dynamic tariffs and active demand management technologies on PV/T/H modeling and optimization. It also reveals the need to hybridize PV/T with other energy systems to increase performance and achieve net zero emissions.

摘要

为实现不同能源的多样化并实现净零排放,混合可再生能源(HRES)代表着世界的未来。然而,一些HRES模拟软件并未整合光伏/热(PV/T)系统。本文针对喀麦隆北部地区的一个农村地点,设计了一种三混合光伏/热/水电(PV/T/H)系统的优化设计模型。所采用的两种需求侧管理(DSM)策略显示,与无DSM模式相比,DSM策略显著降低了59%的能源成本和22%的排放量。尽管在两种情况下都使用了电池储能(BSS),但通过在Matlab上实施的多目标优化方法获得的最优解决方案,在DSM模式和无DSM模式下分别导致了418块PV/T面板、2台兆瓦发电机、2台柴油发电机(DG)以及217块PV/T面板和1台DG。本研究展示了动态电价和主动需求管理技术对PV/T/H建模与优化的影响。它还揭示了将PV/T与其他能源系统混合以提高性能并实现净零排放的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1951/11403046/0aa3b3449eec/gr1.jpg

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