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Title: Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems

Abstract

Although most of the current photovoltaic (PV) system installations use monofacial modules with fixed-tilt mounting structures, bifacial modules, trackers, and the combination of them are also getting more attention as potential candidates to further reduce the PV levelized cost of electricity (LCOE). This work is then the first to present a worldwide analysis on the yield potential and cost-effectiveness of PV farms composed of monofacial fixed-tilt and single/dual (1T/2T) tracker installations, as well as their bifacial counterparts. Our approach starts by estimating the irradiance reaching the front and rear surface of the modules for the different system designs (validated based on data from real PV systems and results from the literature) to estimate their energy production (row-row shading is neglected). Subsequently, the overall system cost during their 25-year lifetime is factored in, and LCOE is obtained. The results reveal that bifacial-1T installations increase energy yield by 35% and reach the lowest LCOE for the majority of the world (93.1% of the land area). Although dual axis trackers achieve the highest energy generation — especially for bifacial modules — their cost is still too high, and are therefore not as cost-effective. Sensitivity analyses based on the Monte Carlo and region sensitivitymore » approach are performed to analyze the impact of input assumptions on the calculated LCOE. These reveal that our conclusions are robust in general but exact configuration to choose depends on specific site conditions. This investigation is not only of interest to the scientific community, but also can be used as a guide for PV installation companies and investors to determine the most suitable technology for a particular location.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [2];  [3];  [3];  [1];  [4]
  1. National Univ. of Singapore (Singapore)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Harbin Inst. of Technology (China)
  4. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
OSTI Identifier:
1634789
Alternate Identifier(s):
OSTI ID: 1703096
Report Number(s):
SAND2020-4452J
Journal ID: ISSN 2542-4351; 685727
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Joule
Additional Journal Information:
Journal Volume: 4; Journal Issue: 7; Journal ID: ISSN 2542-4351
Publisher:
Elsevier - Cell Press
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY

Citation Formats

Rodríguez-Gallegos, Carlos D., Liu, Haohui, Gandhi, Oktoviano, Singh, Jai Prakash, Krishnamurthy, Vijay, Kumar, Abhishek, Stein, Joshua S., Wang, Shitao, Li, Li, Reindl, Thomas, and Peters, Ian Marius. Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems. United States: N. p., 2020. Web. doi:10.1016/j.joule.2020.05.005.
Rodríguez-Gallegos, Carlos D., Liu, Haohui, Gandhi, Oktoviano, Singh, Jai Prakash, Krishnamurthy, Vijay, Kumar, Abhishek, Stein, Joshua S., Wang, Shitao, Li, Li, Reindl, Thomas, & Peters, Ian Marius. Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems. United States. https://doi.org/10.1016/j.joule.2020.05.005
Rodríguez-Gallegos, Carlos D., Liu, Haohui, Gandhi, Oktoviano, Singh, Jai Prakash, Krishnamurthy, Vijay, Kumar, Abhishek, Stein, Joshua S., Wang, Shitao, Li, Li, Reindl, Thomas, and Peters, Ian Marius. Wed . "Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems". United States. https://doi.org/10.1016/j.joule.2020.05.005. https://www.osti.gov/servlets/purl/1634789.
@article{osti_1634789,
title = {Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems},
author = {Rodríguez-Gallegos, Carlos D. and Liu, Haohui and Gandhi, Oktoviano and Singh, Jai Prakash and Krishnamurthy, Vijay and Kumar, Abhishek and Stein, Joshua S. and Wang, Shitao and Li, Li and Reindl, Thomas and Peters, Ian Marius},
abstractNote = {Although most of the current photovoltaic (PV) system installations use monofacial modules with fixed-tilt mounting structures, bifacial modules, trackers, and the combination of them are also getting more attention as potential candidates to further reduce the PV levelized cost of electricity (LCOE). This work is then the first to present a worldwide analysis on the yield potential and cost-effectiveness of PV farms composed of monofacial fixed-tilt and single/dual (1T/2T) tracker installations, as well as their bifacial counterparts. Our approach starts by estimating the irradiance reaching the front and rear surface of the modules for the different system designs (validated based on data from real PV systems and results from the literature) to estimate their energy production (row-row shading is neglected). Subsequently, the overall system cost during their 25-year lifetime is factored in, and LCOE is obtained. The results reveal that bifacial-1T installations increase energy yield by 35% and reach the lowest LCOE for the majority of the world (93.1% of the land area). Although dual axis trackers achieve the highest energy generation — especially for bifacial modules — their cost is still too high, and are therefore not as cost-effective. Sensitivity analyses based on the Monte Carlo and region sensitivity approach are performed to analyze the impact of input assumptions on the calculated LCOE. These reveal that our conclusions are robust in general but exact configuration to choose depends on specific site conditions. This investigation is not only of interest to the scientific community, but also can be used as a guide for PV installation companies and investors to determine the most suitable technology for a particular location.},
doi = {10.1016/j.joule.2020.05.005},
journal = {Joule},
number = 7,
volume = 4,
place = {United States},
year = {Wed Jun 03 00:00:00 EDT 2020},
month = {Wed Jun 03 00:00:00 EDT 2020}
}

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