@Article{NobreKLYMPRRP:2016:ImHaYi,
author = "Nobre, Andr{\'e} M. and Karthik, Shravan and Liu, Haohui and
Yang, Dazhi and Martins, Fernando Ramos and Pereira, Enio Bueno
and Ruther, Ricardo and Reindl, Thomas and Peters, Ian Marius",
affiliation = "{National University of Singapore} and {National University of
Singapore} and {National University of Singapore} and {National
University of Singapore} and {} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal de Santa
Catarina (UFSC)} and {National University of Singapore} and
{National University of Singapore}",
title = "On the impact of haze on the yield of photovoltaic systems in
Singapore",
journal = "Renewable Energy",
year = "2016",
volume = "89",
pages = "389--400",
month = "Apr.",
keywords = "Haze, Air pollution, Irradiation, PV systems, System
performance.",
abstract = "Anthropogenic haze, caused at least in parts by forest and
agricultural land clearing fires in Sumatra (Indonesia), is
occasionally causing air quality issues in Singapore, located
150-300 km east of the majority of these {"}hot spots{"}. The
resulting air pollution partially blocks sunlight from reaching
the ground, and consequently affects the electric power generation
of solar photovoltaic (PV) systems in Singapore. In this work, a
methodology is presented to estimate the haze-induced reduction of
the light intensity reaching PV panels and the corresponding loss
in the electric energy yield. An assessment of a major haze event
in June 2013 is the basis for the loss analysis, which takes into
account data filtering techniques in order to isolate cloudless
conditions for inter-comparison between clear and hazy days. Data
from previous years in non-hazy conditions serve as baseline for
the determination of the clear sky conditions for Singapore. The
novel method is further applied to investigate the power output of
ten PV systems in Singapore during the June 2013 haze event. It is
found that poor air quality levels during this event caused yield
losses of PV systems in Singapore in the range of 15-25%.",
doi = "10.1016/j.renene.2015.11.079",
url = "http://dx.doi.org/10.1016/j.renene.2015.11.079",
issn = "0960-1481",
language = "en",
targetfile = "Nobre_on the.pdf",
urlaccessdate = "02 maio 2024"
}