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Mapping the photovoltaic potential of the roads including the effect of traffic

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  • Ferri, Carlotta
  • Ziar, Hesan
  • Nguyen, Thien Tin
  • van Lint, Hans
  • Zeman, Miro
  • Isabella, Olindo

Abstract

After developing the methodology, we applied it to the case of the Netherlands highways. We show that the average irradiation on the Dutch highway network is around 880 kWh/m2/y, 35% less than the potential of an optimally tilted conventional PV system in the south of the Netherlands. Covering the entire 1600 km of the Dutch highways network with solar road modules of poly c-Si, mono c-Si and CIGS would respectively generate 5.2 TWh/y, 6.6 TWh/y, and 3.4 TWh/y of DC electricity. This could be used to fully power the Dutch national public lighting demand. Moreover, to include the effect of traffic on these values, a model was developed to account for the energy potential reduction due to vehicles shading. Using real traffic data from two of the top-four busiest roads in the Netherlands, the A12 and A16, it was found that traffic accounts for an average of 3% reduction of solar road irradiation and DC yield potential. The maximum reduction of 9% was observed in particular locations, such as bridges and nearby ramp roads. The result of such mapping methodology could serve as a useful tool for research advisory, private industry, and governmental projects.

Suggested Citation

  • Ferri, Carlotta & Ziar, Hesan & Nguyen, Thien Tin & van Lint, Hans & Zeman, Miro & Isabella, Olindo, 2022. "Mapping the photovoltaic potential of the roads including the effect of traffic," Renewable Energy, Elsevier, vol. 182(C), pages 427-442.
    • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:427-442
    DOI: 10.1016/j.renene.2021.09.116
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    References listed on IDEAS

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    1. Christophe Ballif & Laure-Emmanuelle Perret-Aebi & Sophie Lufkin & Emmanuel Rey, 2018. "Integrated thinking for photovoltaics in buildings," Nature Energy, Nature, vol. 3(6), pages 438-442, June.
    2. Andres Calcabrini & Hesan Ziar & Olindo Isabella & Miro Zeman, 2019. "A simplified skyline-based method for estimating the annual solar energy potential in urban environments," Nature Energy, Nature, vol. 4(3), pages 206-215, March.
    3. Denholm, Paul & Margolis, Robert M., 2008. "Land-use requirements and the per-capita solar footprint for photovoltaic generation in the United States," Energy Policy, Elsevier, vol. 36(9), pages 3531-3543, September.
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    1. Ding, Feng & Yang, Jianping & Zhou, Zan, 2023. "Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    2. Zhang, Yijie & Ma, Tao & Yang, Hongxing & Li, Zongyu & Wang, Yuhong, 2023. "Simulation and experimental study on the energy performance of a pre-fabricated photovoltaic pavement," Applied Energy, Elsevier, vol. 342(C).
    3. Wojciech Cieslik & Filip Szwajca & Sławomir Rosolski & Michał Rutkowski & Katarzyna Pietrzak & Jakub Wójtowicz, 2022. "Historical Buildings Potential to Power Urban Electromobility: State-of-the-Art and Future Challenges for Nearly Zero Energy Buildings (nZEB) Microgrids," Energies, MDPI, vol. 15(17), pages 1-23, August.
    4. Wang, Shuai & Wang, Chaohui & Yuan, Huazhi & Ji, Xiaoping, 2022. "Design and performance of piezoelectric energy output promotion system for road," Renewable Energy, Elsevier, vol. 197(C), pages 443-451.

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