Assessment of energy use in semi-buried building via sensitivity and optimisation analysis

This study addresses global construction challenges by improving the energy efficiency of a semi-buried residential building in Marrakech, Morocco. It combines two approaches, sensitivity analysis and multi-objective optimisation, to determine the optimal combination of retrofit measures that minimise building energy needs and enhance occupants’ thermal comfort in various climate types. To emphasise the thermal performance benefits of buried building construction, a preliminary analysis is conducted resulting in significant energy reductions of up to 29.28% for a 69.23% burial depth of above-ground floor. Subsequently, a comprehensive sensitivity analysis is conducted using Python to identify critical design variables associated with building envelope elements influencing global energy requirements. This analysis highlights the significance of effective roof insulation and glazing types. The optimisation procedure is performed through the coupling of TRNSYS and GenOpt. Findings demonstrate that the optimised design schemes yield substantial energy savings, ranging from 66.36% to 75.85% according to the climate type. These results provide tailored solutions for sustainable building design, offering valuable insights to enhance energy efficiency and promote environmental sustainability.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Civil Engineers - Energy
Published
2025-10-14
DOI
https://doi.org/10.1680/jener.24.00072
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of energy use in semi-buried building via sensitivity and optimisation analysis

Fatima Zahra Benaddi, Lahcen Boukhattem, Naima Sakami, Siham Sakami et al.
Proceedings of the Institution of Civil Engineers - Energy
Building Energy and Comfort Optimization
article

Assessment of energy use in semi-buried building via sensitivity and optimisation analysis

Fatima Zahra Benaddi, Lahcen Boukhattem, Naima Sakami, Siham Sakami, Abdessamad El Hassnaoui
article en

Abstract

This study addresses global construction challenges by improving the energy efficiency of a semi-buried residential building in Marrakech, Morocco. It combines two approaches, sensitivity analysis and multi-objective optimisation, to determine the optimal combination of retrofit measures that minimise building energy needs and enhance occupants’ thermal comfort in various climate types. To emphasise the thermal performance benefits of buried building construction, a preliminary analysis is conducted resulting in significant energy reductions of up to 29.28% for a 69.23% burial depth of above-ground floor. Subsequently, a comprehensive sensitivity analysis is conducted using Python to identify critical design variables associated with building envelope elements influencing global energy requirements. This analysis highlights the significance of effective roof insulation and glazing types. The optimisation procedure is performed through the coupling of TRNSYS and GenOpt. Findings demonstrate that the optimised design schemes yield substantial energy savings, ranging from 66.36% to 75.85% according to the climate type. These results provide tailored solutions for sustainable building design, offering valuable insights to enhance energy efficiency and promote environmental sustainability.

Proceedings of the Institution of Civil Engineers - EnergyVol. 179(1)
Cadi Ayyad University (MA)
Openalex Percentile: Top 69%
Building Energy and Comfort Optimization
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.