Robust design of hybrid solar power systems: Sustainable integration of concentrated solar power and photovoltaic technologies

IF 13 Q1 ENERGY & FUELS
Gabriele Furlan , Fengqi You
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引用次数: 0

Abstract

The global energy sector is now transitioning its structure towards carbon neutrality aided by renewable resource use. Despite its immense potential, solar energy contributes minimally to the global energy mix due to its intermittent nature and challenges with power demand fluctuations. Increased use of distributed solar sources alters market dynamics, necessitating conventional power plants to ramp up output during lower renewable energy production times and manage oversupply risks. Concentrated solar power (CSP) can contribute to grid decarbonization, but its high levelized cost of electricity (LCOE) impedes widespread adoption. This study proposes hybridizing CSP and photovoltaic (PV) technologies, aiming to leverage their synergy to maximize economic benefits. We develop a comprehensive process design framework that utilizes a robust multi-objective optimization (MOO) approach, which factors in techno-economic and environmental objectives while accounting for model uncertainty from resource prices and life cycle assessment indicators. Optimization results reveal that in Ivanpah, California, hybrid CSP + PV can reduce 41 % of LCOE and limit environmental impacts compared to standalone CSP plants. This robust framework also identifies design trends, such as a constant dependence on the PV field, and a trade-off between the installed area of the solar concentrators and the backup boiler operation. The optimal unit sizes, less susceptible to future market fluctuations and potential changes in the global warming potential (GWP) of technologies, contribute significantly to robust and sustainable energy planning decisions.

混合太阳能发电系统的稳健设计:聚光太阳能和光伏技术的可持续整合
在可再生资源利用的帮助下,全球能源部门目前正在向碳中和结构转型。尽管太阳能潜力巨大,但由于其间歇性和电力需求波动的挑战,太阳能对全球能源结构的贡献微乎其微。分布式太阳能资源使用的增加改变了市场动态,使传统发电厂必须在可再生能源产量较低时提高产量,并管理供过于求的风险。聚光太阳能发电(CSP)可促进电网去碳化,但其较高的平准化电力成本(LCOE)阻碍了其广泛应用。本研究建议将 CSP 和光伏(PV)技术混合使用,旨在利用它们的协同作用实现经济效益最大化。我们开发了一个综合流程设计框架,该框架采用了稳健的多目标优化(MOO)方法,在考虑资源价格和生命周期评估指标带来的模型不确定性的同时,还考虑了技术经济和环境目标。优化结果表明,与独立的 CSP 电站相比,在加利福尼亚州的 Ivanpah,CSP + PV 混合电站可降低 41% 的 LCOE,并限制对环境的影响。这一稳健的框架还确定了设计趋势,例如对光伏发电场的持续依赖,以及太阳能聚光器安装面积与备用锅炉运行之间的权衡。最佳装置尺寸不易受未来市场波动和技术全球升温潜能值(GWP)潜在变化的影响,可大大促进稳健和可持续的能源规划决策。
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
Advances in Applied Energy
Advances in Applied Energy Energy-General Energy
CiteScore
23.90
自引率
0.00%
发文量
36
审稿时长
21 days
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