TY - JOUR
T1 - Fully solar powered Doncaster Sheffield Airport
T2 - Energy evaluation, glare analysis and CO2 mitigation
AU - Sher, Farooq
AU - Hazafa, Abu
AU - Marintseva, Kristina
AU - Rasheed, Tahir
AU - Ali, Usman
AU - Rashid, Tazien
AU - Babu, Amal
AU - Khzouz, Martin
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/6
Y1 - 2021/6
N2 - The solar photovoltaic cells received special attention during the past few years due to their rapid renewability consideration, particularly in international airports because of sustainability and high cost of fossil fuel. The present study aims to evaluate the feasibility performance of a novel 12 MWp capacity solar photovoltaic (PV) power plant at Doncaster Sheffield Airport, UK and to develop a mathematical model to provide a greater understanding of glare from solar panels and subsequently outline methods to avoid its effects. SISIFO and Global Solar Atlas software (GSA) simulations were used to obtain the results. Results reported that the proposed plant produced average energy of 1,034.31 MWh monthly and 12,411.69 MWh annually. The maximum electricity production was observed in May, June, and July as 1,772.71, 1,872.32, and 1,818.25 MWh, with 20.51, 21.67, and 21.04% of Capacity Utilization Factor (CUF), respectively. The average energy yield per month was achieved as 2585.74 kWh/kWp with an average performance ratio of 82.59%. Results also showed that 12 MWp PV plant at DSA reduced an average CO2 emission of 10,562,270 kg (11,642.90 tons) annually. The results revealed that glaring is very unlikely to occur throughout the year; however, winter period produced the lowest trajectory of reflected light. Overall, the proposed solar plant at Doncaster Sheffield airport (DSA) was found to be feasible and generates almost double electricity of overall energy demand (6,951.55 MWh) at Doncaster Sheffield airport. However, it is recommended that the excessive produced energy during summer could be transfer into the national grid, which would be returned during the winter season to facilitate PV plant.
AB - The solar photovoltaic cells received special attention during the past few years due to their rapid renewability consideration, particularly in international airports because of sustainability and high cost of fossil fuel. The present study aims to evaluate the feasibility performance of a novel 12 MWp capacity solar photovoltaic (PV) power plant at Doncaster Sheffield Airport, UK and to develop a mathematical model to provide a greater understanding of glare from solar panels and subsequently outline methods to avoid its effects. SISIFO and Global Solar Atlas software (GSA) simulations were used to obtain the results. Results reported that the proposed plant produced average energy of 1,034.31 MWh monthly and 12,411.69 MWh annually. The maximum electricity production was observed in May, June, and July as 1,772.71, 1,872.32, and 1,818.25 MWh, with 20.51, 21.67, and 21.04% of Capacity Utilization Factor (CUF), respectively. The average energy yield per month was achieved as 2585.74 kWh/kWp with an average performance ratio of 82.59%. Results also showed that 12 MWp PV plant at DSA reduced an average CO2 emission of 10,562,270 kg (11,642.90 tons) annually. The results revealed that glaring is very unlikely to occur throughout the year; however, winter period produced the lowest trajectory of reflected light. Overall, the proposed solar plant at Doncaster Sheffield airport (DSA) was found to be feasible and generates almost double electricity of overall energy demand (6,951.55 MWh) at Doncaster Sheffield airport. However, it is recommended that the excessive produced energy during summer could be transfer into the national grid, which would be returned during the winter season to facilitate PV plant.
UR - http://www.scopus.com/inward/record.url?scp=85101817308&partnerID=8YFLogxK
U2 - 10.1016/j.seta.2021.101122
DO - 10.1016/j.seta.2021.101122
M3 - Article
AN - SCOPUS:85101817308
SN - 2213-1388
VL - 45
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 101122
ER -