Future Building Energy Atlas of Sofia City

This study develops a Future Building Energy Atlas (FBEA) for Sofia, Bulgaria, integrating land-use change modelling and spatial energy-demand assessment within a GIS framework. Future land-use patterns toward 2074 are simulated using a hybrid Artificial Neural Network–Cellular Automata (CA-ANN) model, while building energy consumption is estimated using cadastral data, gross floor area calculations, and energy coefficients derived from more than 2,500 certified buildings across ten functional categories under the medium-energy consumption. Future energy demand is projected based on historical trends observed between 2000 and 2020, during which building energy consumption increased steadily. The results indicate continued urban expansion primarily at the expense of cropland and forest areas. Cropland is projected to decline from 36.4 km² to 26.5 km², while forest areas are projected to decrease from 16.7 km² to 14.4 km² by 2074. At the same time, building energy demand increases significantly. The daily mean maximum energy consumption is projected to increase from 35.2 W/m² in 2024 to approximately 115 W/m² by 2074. These results highlight the strong relationship between urban growth, land-use transformation, and increasing energy demand in the building sector.

Authors

Institutions

Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2026-09-29
DOI
https://doi.org/10.5194/isprs-annals-xii-4-w2-2026-211-2026
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Future Building Energy Atlas of Sofia City

Sylvia Ilieva, Dessislava Petrova‐Antonova, Quang‐Van Doan, Lidia Lazarova Vitanova et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Environmental Impact and Sustainability
article

Future Building Energy Atlas of Sofia City

Sylvia Ilieva, Dessislava Petrova‐Antonova, Quang‐Van Doan, Lidia Lazarova Vitanova, Tereza Trendafilova, Ryota Karube, Darin Pavlov, Koki Nakamura, Agata Zabuska
article en

Abstract

This study develops a Future Building Energy Atlas (FBEA) for Sofia, Bulgaria, integrating land-use change modelling and spatial energy-demand assessment within a GIS framework. Future land-use patterns toward 2074 are simulated using a hybrid Artificial Neural Network–Cellular Automata (CA-ANN) model, while building energy consumption is estimated using cadastral data, gross floor area calculations, and energy coefficients derived from more than 2,500 certified buildings across ten functional categories under the medium-energy consumption. Future energy demand is projected based on historical trends observed between 2000 and 2020, during which building energy consumption increased steadily. The results indicate continued urban expansion primarily at the expense of cropland and forest areas. Cropland is projected to decline from 36.4 km² to 26.5 km², while forest areas are projected to decrease from 16.7 km² to 14.4 km² by 2074. At the same time, building energy demand increases significantly. The daily mean maximum energy consumption is projected to increase from 35.2 W/m² in 2024 to approximately 115 W/m² by 2074. These results highlight the strong relationship between urban growth, land-use transformation, and increasing energy demand in the building sector.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. XII-4/W2-2026(0)
University of Tsukuba (JP), Big Data for Smart Society (GATE) Institute (BG), Sofia University "St. Kliment Ohridski" (BG)
Affordable and clean energy
Openalex Percentile: Top 19%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Future Building Energy Atlas of Sofia City — Sylvia Ilieva, Dessislava Petrova‐Antonova, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2026) | TGRS Research Map | TGRS