阿尔伯塔省北部偏远社区公用事业和交通设施的可再生混合能源系统的技术经济分析

Tazrin Jahan Priyanka , Shivam Atre , Md Mashum Billal , Mohammad Arani
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引用次数: 0

摘要

加拿大的许多离网社区依赖柴油发电机来满足其公用事业和运输需求,造成了破坏性的环境影响。本研究旨在优化和调查混合可再生能源系统的技术经济可行性,以同时满足阿尔伯塔省北部偏远社区特劳特湖1.6 MWh/日电力、184.2 kWh/日热能和428.38 kg/年氢气需求。已经提出了一种由太阳能光伏、风力涡轮机、电解槽、氢罐、电池、燃料电池、氢锅炉和热负荷控制器组成的新型混合能源系统,以通过可再生能源发电、供热和氢气,从而利用过剩能源(EE)减少碳排放。在HOMER Pro软件中开发了五种不同的场景,并对结果进行了比较,以确定混合可再生能源系统的最佳组合。结果表明,第五种情况是最佳的可再生能源系统,与基于柴油的系统相比,该系统提供了0.675/kWh的较低能源成本(COE),并且可以减少99.99%的碳排放。此外,热负荷控制器、电池和燃料电池的使用提高了系统的可靠性,显著提高了可再生能源(RF)(93.5%),降低了EE(58.3%)。与基于柴油的系统相比,还发现电池储能是最实惠的选择,而燃料电池是偏远社区更昂贵的选择。进行敏感性分析,以测量不同主导因素对COE、EE和RF的影响。
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Techno-economic analysis of a renewable-based hybrid energy system for utility and transportation facilities in a remote community of Northern Alberta

Many off-grid communities in Canada are dependent on diesel generators to fulfill their utility and transportation needs, causing destructive environmental impact. This study aims to optimize and investigate the techno-economic feasibility of a hybrid renewable energy system to satisfy the 1.6 MWh/day electricity, 184.2 kWh/day thermal, and 428.38 kg/year hydrogen demand simultaneously, Trout Lake, a remote community of Northern Alberta. A novel hybrid energy system consisting of solar PV, wind turbine, electrolyzer, hydrogen tank, battery, fuel cell, hydrogen boiler, and thermal load controller has been proposed to generate electricity, heat, and hydrogen by renewables which reduce carbon emission utilizing the excess energy (EE). Five different scenarios were developed in HOMER Pro software, and the results were compared to identify the best combination of hybrid renewable energy systems. The results indicate that the fifth scenario is the optimal renewable energy system that provides a lower cost of energy (COE) at $0.675/kWh and can reduce 99.99% carbon emission compared to the diesel-based system. Additionally, the utilization of thermal load controller, battery, and fuel cell improved the system's reliability, increasing renewable fraction (RF) (93.5%) and reducing EE (58.3%) significantly. In comparison to the diesel-based systems, it is also discovered that battery energy storage is the most affordable option, while fuel cells are the more expensive choice for remote community. Sensitivity analyses are performed to measure the impact of different dominating factors on COE, EE, and RF.

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