Location, location, location: optimal placement of new electricity production in the nordic energy system amidst large-scale electrification

IF 5.9 Q2 ENERGY & FUELS
Joel Bertilsson, Lisa Göransson, Filip Johnsson
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引用次数: 0

Abstract

Renewable electricity generation is expected to play a pivotal role in the global shift toward electrification. However, the inherent variability of renewable energy sources, in addition to factors such as local weather patterns and grid limitations, poses a significant challenge in terms of determining the optimal size and placement of distributed generation units. This study tackles this issue by applying a novel, high-resolution energy systems model that is tailored to the Nordic region. The model is designed to capture with high accuracy local nuances in relation to grid infrastructure, weather patterns, and demand profiles. The model minimizes the total system costs, accounting for both investment and operational expenditures, through the optimal integration of variable renewable energy sources and dispatchable generation units. The findings indicate that the siting of renewable generation is primarily influenced by a combination of a high number of full-load hours and proximity to the electricity demand, with the latter becoming increasingly important under high-demand conditions. Among renewable technologies, solar photovoltaic systems exhibit the strongest correlation with demand center proximity, whereas offshore wind is mainly constrained by a high potential annual production capacity. In addition, assumptions regarding the availability of electricity grid capacity are shown to have a significant impact on the results, with up to 26% of production being relocated when 100 % thermal grid capacity is available, as compared to when 30% of grid capacity is reserved for contingency events.
位置,位置,位置:在大规模电气化的北欧能源系统中,新电力生产的最佳位置
可再生能源发电预计将在全球向电气化的转变中发挥关键作用。然而,可再生能源的内在可变性,加上当地天气模式和电网限制等因素,在确定分布式发电机组的最佳规模和位置方面构成了重大挑战。本研究通过应用一种为北欧地区量身定制的新颖的高分辨率能源系统模型来解决这个问题。该模型旨在以高精度捕获与电网基础设施、天气模式和需求概况相关的局部细微差别。该模型通过可变可再生能源和可调度发电机组的最佳整合,将投资和运营支出都考虑在内,使系统总成本最小化。研究结果表明,可再生能源发电的选址主要受到满载小时数高和接近电力需求的综合影响,后者在高需求条件下变得越来越重要。在可再生能源技术中,太阳能光伏系统表现出与需求中心接近程度最强的相关性,而海上风能主要受到高潜在年生产能力的限制。此外,关于电网容量可用性的假设对结果有重大影响,当100%的热网容量可用时,高达26%的生产被重新安置,相比之下,当30%的电网容量保留用于应急事件时。
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
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
发文量
0
审稿时长
48 days
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