The Introduction

One of the steps required to be carried out during the early-stage development of a solar PV system is calculating the amount of solar radiation, which is an essential parameter for identifying solar energy potential. In-situ measurement using a pyranometer instrument might be the most accurate solution to obtain the solar radiation value. However, it can only cover a limited area. Therefore, if the calculation of solar radiation is required for larger-scale areas, for instance, a village, district, or city, the in-situ measurement can be tedious and time-consuming.

This thesis highlights the prospect of GIS technology to be used for modelling the potential of solar energy in the urban area. High-resolution LiDAR point cloud data and atmospherical parameters from various open data portal are used in this research. The research area, in this case, is Morumbi district in São Paulo is chosen based on the building density characteristic and data availability. The result includes the amount of solar energy within a year, and other related components will then be visualized in an integrated spatial data infrastructure.

Aim and Objectives

The aim

This thesis is aimed at using the GIS approach to model the potential of solar rooftop PV in the urban area, which will support the initial process in designing a proper solar photovoltaic system.

Thesis objectives

Objective 1

Identify Geographic Information System (GIS) based algorithm to model the solar PV potential.

Objective 3

Visualise the estimation of solar PV potential on the rooftop per building within an integrated spatial data infrastructure.

Objective 2

Assess the potential of solar PV for electricity generation in the urban area.