An innovative approach to assessing and optimizing floating solar panels

IF 9.9 1区 工程技术 Q1 ENERGY & FUELS
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Abstract

Floating photovoltaic energy is an emerging solution to the need for decarbonization of the current society. It is currently in the early stages of implementation, so there are not many previous experiences to standardize decision-making and the most relevant operating parameters such as, the tilt angle of a fast as in conventional photovoltaics. In addition, the lack of specific design tools and production calculations for floating solar is a barrier to the correct understanding of the real advantages of floating solar versus conventional solar. From the point of view of the investment, the stakeholders do not have a complete analysis of the profitability of their investment. From a technical, environmental and legislative point of view, there is not enough information available to establish standards and criteria for the design and selection of the most suitable water bodies at local, regional or state level. This research aims to fill this gap by proposing a specific framework based on geographic information systems (GIS), multi-criteria analysis (MCDA) and intelligent optimization (Genetic Algorithm). The objective is to select within a set of water bodies those where the investment is most beneficial from a holistic perspective considering technical, economic, social, environmental, and legislative criteria. Once the optimal location is obtained, the framework obtains the tilt angles that minimize the Levelized Cost of Energy (LCOE) by means of intelligent optimization techniques that evaluate the characteristics of each water body, such as location or available surface. The tilt angle obtained in this research achieves LCOE improvements of between 2.1% and 8.4% with respect to the tilt angle obtained by conventional methods applied to ground photovoltaics. Spain has been chosen as a case study as it is a region with a high solar potential and an even distribution of water bodies in which there is still no legislative framework in force.

评估和优化浮动太阳能电池板的创新方法
浮动光伏能源是满足当前社会脱碳需求的一种新兴解决方案。目前,它还处于实施的早期阶段,因此没有太多的经验来规范决策和最相关的运行参数,如与传统光伏发电一样的快速倾斜角度。此外,缺乏针对浮动式太阳能的具体设计工具和生产计算方法,也阻碍了人们正确理解浮动式太阳能相对于传统太阳能的真正优势。从投资的角度来看,利益相关者没有对其投资的盈利能力进行全面分析。从技术、环境和立法角度来看,没有足够的信息可用于在地方、区域或国家层面制定设计和选择最合适水体的标准和准则。本研究旨在通过提出一个基于地理信息系统(GIS)、多标准分析(MCDA)和智能优化(遗传算法)的具体框架来填补这一空白。其目的是从技术、经济、社会、环境和立法标准等综合角度出发,在一组水体中选择投资效益最高的水体。获得最佳位置后,该框架通过智能优化技术,评估每个水体的特点(如位置或可用面积),从而获得使能源平准化成本(LCOE)最小化的倾斜角度。与应用于地面光伏发电的传统方法相比,本研究中获得的倾斜角度可将 LCOE 提高 2.1% 至 8.4%。之所以选择西班牙作为案例研究对象,是因为西班牙是一个太阳能潜力巨大、水体分布均匀的地区,但目前仍未出台相关法律框架。
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来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
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