TY - JOUR
T1 - Mapping the photovoltaic potential of the roads including the effect of traffic
AU - Ferri, Carlotta
AU - Ziar, Hesan
AU - Nguyen, Thien Tin
AU - van Lint, Hans
AU - Zeman, Miro
AU - Isabella, Olindo
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Photovoltaic (PV) technology
KW - Solar potential map
KW - Solar road
KW - Traffic shading
KW - Urban PV
UR - http://www.scopus.com/inward/record.url?scp=85117125409&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2021.09.116
DO - 10.1016/j.renene.2021.09.116
M3 - Article
SN - 0960-1481
VL - 182
SP - 427
EP - 442
JO - Renewable Energy
JF - Renewable Energy
ER -