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Sizing of Stand-Alone Solar PV and Storage System With Anaerobic Digestion Biogas Power Plants

机译:带有厌氧消化沼气发电厂的独立太阳能光伏和储能系统的规模

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摘要

This paper presents a deterministic approach for sizing a solar photovoltaic (PV) and energy storage system (ESS) with anaerobic digestion (AD) biogas power plant (BPP) to meet a proportional scaled-down demand of the national load in Kenya, Africa. The aim is to achieve a minimal levelized cost of energy (LCOE) for the system while minimizing the energy imbalance between generation and demand due to AD generator constraint and solar resource. This system also aims to maximize the sizing of PV as to follow the future trend of high penetration of PV. LCOE for the system and a levelized cost of delivery (LCOD) are calculated for the hybrid energy system with the presence of energy storage. Four years of solar data collected from Johannesburg, Africa, are used for system sizing purposes. An in-depth study of the optimization problem has been given and particle swarm optimization with the interior point method is chosen for solar panel sizing. The optimal sizing ratio for the generation sources AD and PV is 2.4:5. The results show that the hybrid system will be cost effective compared to the AD-only system when the discount rate drops below 8% with the current technology costs.
机译:本文提出了一种确定性方法,用于确定带有厌氧消化(AD)沼气发电厂(BPP)的太阳能光伏(PV)和储能系统(ESS)的规模,以满足非洲肯尼亚国家负荷的按比例缩小的需求。目的是使系统的能源平均成本(LCOE)达到最小,同时将由于AD发电机约束和太阳能引起的发电与需求之间的能源不平衡最小化。该系统还旨在最大程度地提高PV的尺寸,以顺应PV高渗透率的未来趋势。对于存在能量存储的混合能源系统,计算系统的LCOE和平均交付成本(LCOD)。从非洲约翰内斯堡收集的四年太阳能数据用于系统规模估算。已经对优化问题进行了深入研究,并选择了采用内点法的粒子群算法来优化太阳能电池板的尺寸。发电源AD和PV的最佳尺寸比为2.4:5。结果表明,当当前技术成本的折现率降至8%以下时,混合系统将比纯AD系统更具成本效益。

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