Performance Characterisation and Optimisation of a Building Integrated Photovoltaic (BIPV) System in a Maritime Climate

Q1 Engineering
D. Brennan, C. White, M. Barclay, Thomas Griffiths, Richard P. Lewis
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引用次数: 2

Abstract

A seasonal analysis of a long-term dataset produced by an off-grid classroom facility showcasing several solar orientated renewable technologies is presented. The performance of the building’s BIPV and battery storage system is characterised and optimisation strategies are discussed. The building experiences a typical oceanic climate defined by a relatively narrow annual temperature range and a high level of annual precipitation, resulting in significant fluctuation in PV performance throughout the year. On clear days, the battery system reaches capacity quickly and PV power output drops to the base load of the building. This curtailment of solar generation highlights the importance of developing control strategies to optimise system performance. Maximising the performance of the building requires accurate methodologies for predicting PV generation and detailed knowledge of building demand profiles. Significant correlation is observed between the solar irradiance, battery state of charge and PV power output, demonstrating the importance of these variables in any solar forecasting model. Demand profiles are deterministic and follow classroom routine. A baseline accounts for persistent systems such as the building management system that are active throughout the day, with demand peaking during occupancy. This information could be incorporated into scheduling algorithms to optimise performance. Consumption is more aligned with the solar generation profile than typical residential buildings that peak in the evening as levels of solar generation fall. The synergistic effect of buildings with different demand profiles could be a mitigation method to minimise the temporal mismatch between solar generation and consumption.
海洋性气候下建筑集成光伏(BIPV)系统的性能表征与优化
对一个离网教室设施产生的长期数据集进行了季节性分析,展示了几种太阳能可再生技术。对建筑的BIPV和电池存储系统的性能进行了表征,并讨论了优化策略。该建筑经历了典型的海洋性气候,年温度范围相对较窄,年降水量较高,导致全年光伏性能大幅波动。在晴朗的日子里,电池系统很快达到容量,光伏发电量降至建筑物的基本负荷。太阳能发电的这种缩减凸显了开发控制策略以优化系统性能的重要性。最大限度地提高建筑性能需要准确的光伏发电预测方法和建筑需求概况的详细知识。在太阳辐照度、电池充电状态和光伏功率输出之间观察到显著的相关性,证明了这些变量在任何太阳能预测模型中的重要性。需求概况具有确定性,并遵循课堂惯例。基线说明了全天活动的持久系统,如建筑管理系统,在入住期间需求达到峰值。这些信息可以被合并到调度算法中以优化性能。与典型的住宅楼相比,太阳能发电的消耗量更符合太阳能发电的情况,因为太阳能发电量在晚上达到峰值。具有不同需求剖面的建筑的协同效应可能是一种缓解方法,可以最大限度地减少太阳能发电和消费之间的时间不匹配。
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
Future Cities and Environment
Future Cities and Environment Engineering-Architecture
CiteScore
3.10
自引率
0.00%
发文量
7
审稿时长
17 weeks
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