Dynamic Simulation Approach for Estimating Solar Energy Potential of the Building Environment in the Macedonian Context

Abstract

This research develops an integrated methodological framework for assessing solar energy
potential within the built environment through dynamic simulation. The approach combines
LiDAR-derived spatial data, GIS-based analysis, and time-dependent solar radiation
modelling to evaluate both geometric and energy-related characteristics of roof surfaces. The
methodology incorporates detailed roof documentation alongside dynamic solar simulation to
quantify spatial parameters and corresponding solar energy capacity at building level. The
results demonstrate that solar potential is strongly influenced by roof geometry, orientation,
and local climatic conditions, and that dynamic simulation provides a reliable basis for
identifying suitable surfaces for photovoltaic (PV) integration. The study further highlights the
role of geospatial data in enabling precise energy assessments and supporting data-driven
decision-making. By linking spatial analysis with energy modelling, this research contributes
to the development of a solar cadastre applicable to urban and national scales. The findings
underline the importance of dynamic, GIS-based approaches in advancing renewable energy
strategies and facilitating the transition toward sustainable and decentralized energy systems
within the built environment.