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Development of a smart energy system for railway station buildings

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esango.cput.ac.za2024-11-13 更新2025-01-21 收录
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https://esango.cput.ac.za/articles/dataset/Development_of_a_smart_energy_system_for_railway_station_buildings/27620211/1
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2022FEBEREC-STD-019This research project's goals are to support the national plan to reduce carbon emissions in railway station buildings, to learn about and use advanced technologies in international building management, and to ensure energy savings, safety, and comfort in railway station buildings in a cost-effective way from the point of view of energy management, with expected energy savings of 20% or more using smart energy system controls. South Africans have had trouble getting power to their homes and businesses recently because the utility company didn't have enough. This is called "load shedding."The primary objective of the data set is to demonstrate the use of model-based techniques in a grid-connected solar photovoltaic system designed for commercial purposes. The objective of the research is to develop a grid-connected solar PV rooftop system for the East London Railway station in East London, Eastern Cape, while considering various operational scenarios. To conduct these studies, multiple methodologies have been used, including site selection, roof selection, PV installation, and electrical string design. In order to streamline the design process, computer-based tools have been used. This presentation introduces a modelling tool called System Advisor Model (SAM) that is used for building, predicting, and analyzing commercial PV systems. The simulation yielded system performance data on an hourly, monthly, and yearly basis. The SAM program utilizes the provided installation, running expenses, and system design characteristics as inputs to generate performance projections and cost of energy estimations for this system.

本研究项目的目标在于支持国家减少铁路站房碳排放的计划,借鉴国际建筑管理领域的先进技术,并从能源管理的视角出发,以经济高效的方式确保铁路站房在节能、安全与舒适性方面的综合效益,预期通过智能能源系统控制实现20%或以上的能源节约。近期,南非居民和企业因公用事业公司供电不足而面临电力短缺问题,此现象被称为‘负荷削减’。本数据集的主要目标在于展示基于模型技术的电网连接型商业用途太阳能光伏系统应用。研究旨在开发一套适用于东伦敦铁路站的电网连接型太阳能光伏屋顶系统,同时考虑多种运营场景。为开展这些研究,采用了多种方法,包括场地选择、屋顶选择、光伏安装和电气串设计。为简化设计流程,应用了计算机辅助工具。本次展示介绍了一种名为系统顾问模型(System Advisor Model,SAM)的建模工具,该工具用于构建、预测和分析商业光伏系统。模拟结果提供了系统性能的时、月、年数据。SAM程序利用所提供的安装、运行成本和系统设计特性作为输入,生成性能预测和能源成本估算。
提供机构:
Cape Peninsula University of Technology
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