Abstract: This paper presents a working model to estimate the solar photovoltaic potential using high- resolution LiDAR data and Geographic Information Systems. This bottom-up approach method has been selected to arrive at the potential as this gives a better estimate than a top-down approach. The novelty of the study lies in estimating the potential at high resolution and classifying the rooftop as suitable or not for solar photovoltaic installations based on factors like irradiation, slope and orientation. The city of Apeldoorn in the Netherlands has been selected as the study area. The model was able to successfully locate suitable sites for photovoltaic installations at rooftop level. In addition, the area feasible for the installations...
In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown...
Energy consumption is on a permanent rise and it is becoming increasingly concentrated in cities. He...
A quick-scan yield prediction method has been developed to assess rooftop photovoltaic (PV) potentia...
A methodology is provided for the application of Light Detection and Ranging (LiDAR) to automated so...
Apart from the drive to reduce carbon dioxide emissions by carbon-intensive economies like South Afr...
A methodology is provided for the application of Light Detection and Ranging (LiDAR) to automated so...
Recently, climate action has become a priority in the agendas of every government, and the Netherlan...
<p>Climate change is one of the challenges our society has to deal with nowadays. Photovoltaic is on...
This paper presents our contribution to the development of a standardized 3D input data model for so...
WOS:000337859500005 SFRH/BPD/76893/2011 UID/SOC/04647/2013Promoting the use of solar energy in urban...
Energy consumption is on a permanent rise and it is becoming increasingly concentrated in cities. He...
The authors attempted to determine the amount of a roof's surface required for the installation of P...
Knowledge of roof geometry and physical features is essential for evaluation of the impact of multip...
In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown...
The importance of solar energy as a global energy source is expected to grow. Solar power's future l...
In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown...
Energy consumption is on a permanent rise and it is becoming increasingly concentrated in cities. He...
A quick-scan yield prediction method has been developed to assess rooftop photovoltaic (PV) potentia...
A methodology is provided for the application of Light Detection and Ranging (LiDAR) to automated so...
Apart from the drive to reduce carbon dioxide emissions by carbon-intensive economies like South Afr...
A methodology is provided for the application of Light Detection and Ranging (LiDAR) to automated so...
Recently, climate action has become a priority in the agendas of every government, and the Netherlan...
<p>Climate change is one of the challenges our society has to deal with nowadays. Photovoltaic is on...
This paper presents our contribution to the development of a standardized 3D input data model for so...
WOS:000337859500005 SFRH/BPD/76893/2011 UID/SOC/04647/2013Promoting the use of solar energy in urban...
Energy consumption is on a permanent rise and it is becoming increasingly concentrated in cities. He...
The authors attempted to determine the amount of a roof's surface required for the installation of P...
Knowledge of roof geometry and physical features is essential for evaluation of the impact of multip...
In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown...
The importance of solar energy as a global energy source is expected to grow. Solar power's future l...
In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown...
Energy consumption is on a permanent rise and it is becoming increasingly concentrated in cities. He...
A quick-scan yield prediction method has been developed to assess rooftop photovoltaic (PV) potentia...