通过系统动力学和GIS建模实现智能能源系统的空间分析。拉脱维亚风力发电案例研究

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2022-08-01 DOI:10.1016/j.segy.2022.100081
Ieva Pakere, Marika Kacare, Armands Grāvelsiņš, Ritvars Freimanis, Andra Blumberga
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引用次数: 7

摘要

利用可再生能源(如太阳能或风能)的主要问题是它们的间歇性。因此,当可再生能源在系统中所占比例达到较高时,它们能否成为可靠的能源,提供不间断的能源需求,取决于整个能源供应网络。通过智能能源概念的发展,基于res的系统可以达到更高的灵活性。利用系统动力学模型与地理信息系统平台相结合,利用地理参考信息分析了可再生能源潜力的时空维度。这种方法可以根据每个区域的资源、经济和技术能力,分别确定最适合的发展方案,从而分析整个能源系统。此外,系统动力学模型与不同的政策相辅相成,以评估其对可再生能源和当地能源发展和经济潜力的影响。结果表明,在合适的土地条件下,大型陆上风电场的潜力可能在5.5吉瓦左右,但预计到2050年达到气候中和所需的风电容量为1.55吉瓦。因此,拉脱维亚应该推动陆上风力涡轮机向智能和可再生能源系统发展。
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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Spatial analyses of smart energy system implementation through system dynamics and GIS modelling. Wind power case study in Latvia

Major concern in utilising renewable energy sources, such as solar or wind, is their intermittent nature. Therefore, whether they can be reliable energy sources to provide uninterrupted energy demand when reaching a high share of renewable energy in the system depends on the whole energy supply network. Higher flexibility of RES-based systems can be reached through the development of smart energy concepts.

The system dynamics model coupled with a geographical information system platform has been used to analyse space and time dimensions of RES potential using geo-referenced information. This approach allows analysing the whole energy system by determining the best-suited development scenario for each region separately, based on their resource, economic, and technological capabilities. Furthermore, the system dynamics model is complemented with different policies to evaluate their impact on renewable and local energy resource development and economic potential. The results show that the potential for large-scale onshore wind farm capacities with suitable land conditions could be around 5.5 GW, but the forecasted necessary wind power capacity to reach climate neutrality in 2050 is 1.55 GW. Therefore, onshore wind turbines should be promoted to move toward a smart and renewable power system in Latvia.

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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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