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全球最优光伏-风能混合可再生能源系统的能源与经济数据集。

Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems.

作者信息

Mazzeo Domenico, Baglivo Cristina, Matera Nicoletta, De Luca Pierangelo, Congedo Paolo Maria, Oliveti Giuseppe

机构信息

Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, P. Bucci Cube 46/C, It, 87036 Arcavacata of Rende, CS, Italy.

Department of Engineering for Innovation, University of Salento, Via per Arnesano, It, 73100 Lecce, Italy.

出版信息

Data Brief. 2020 Nov 1;33:106476. doi: 10.1016/j.dib.2020.106476. eCollection 2020 Dec.

DOI:10.1016/j.dib.2020.106476
PMID:33225026
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7666328/
Abstract

The data describe supplementary materials supporting the research article entitled "Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates" (Mazzeo et al., 2020). Hybrid renewable energy systems are increasingly adopted worldwide as technically and economically effective solutions to achieve energy decarbonization and greenhouse gas reduction targets. This data article includes the results of worldwide techno-economic optimization of stand-alone and grid-connected photovoltaic-wind hybrid renewable energy systems designed to meet the electrical energy needs of an office district. The technical simulations have been performed in TRNSYS 17 (Transient Energy System) environment. A total of 48 different locations around the world have been chosen across Köppen-Geiger climates with different latitudes and homogeneously distributed over the whole globe, considering very different climates. The analyses have been conducted for 343 different system power configurations, considering both stand-alone and grid-connected systems. A total of 16464 dynamic simulations were performed, summarized in yearly energy output from each component and in energy and economic indicators.

摘要

这些数据描述了支持题为《全球地理映射以及独立和并网混合可再生系统在柯本-盖格气候条件下的技术经济性能优化》(马佐埃等人,2020年)的研究文章的补充材料。混合可再生能源系统在全球范围内越来越多地被采用,作为实现能源脱碳和温室气体减排目标的技术和经济有效解决方案。本数据文章包括为满足办公区电能需求而设计的独立和并网光伏-风能混合可再生能源系统的全球技术经济优化结果。技术模拟是在TRNSYS 17(瞬态能源系统)环境中进行的。考虑到非常不同的气候条件,在全球不同纬度的柯本-盖格气候条件下共选择了48个不同的地点,并在全球范围内均匀分布。针对343种不同的系统功率配置进行了分析,同时考虑了独立系统和并网系统。总共进行了16464次动态模拟,总结在每个组件的年度能量输出以及能量和经济指标中。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/90dc4b9f7cf0/gr2b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/1ec02b62596b/gr3a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/69b5b603446b/gr3b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/2e7d598b8fe0/gr4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/97d9be2d6f8c/gr4b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/a4fcb3edd7ee/gr5a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/a775965f3a28/gr5b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/f21c01521c67/gr6a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/40fd4d2510ae/gr7b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/57cf44ee26b2/gr8a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/04958ee0b114/gr8b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/ee44b0f8638b/gr9a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/273707095146/gr9b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d8a/7666328/66f4ea68042c/gr10.jpg

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