BIM integrated sun-path and energy analysis to evaluate self-shading and cooling and heating demand of a G+3 residential building model in four different climate zones in India

Abstract Purpose: This paper presents a reproducible Building Information Modelling (BIM) workflow that couples sun-path and floor-by-floor shadow analysis with whole-building energy simulation, applying one geometrically invariant residential prototype across the four climatic zones of India to give architects, builders and code authorities indicative, climate-graded shading guidance. Methods: A G+3 reference model of 391.52 m², created in Autodesk Revit 2025, was replicated without geometric change in Chennai (Warm-Humid), Jodhpur (Hot-Dry), New Delhi (Composite) and Shimla (Cold). Shadow plots were generated at nine Indian Standard Time instants per city, and annual energy performance was simulated with the Revit-integrated OpenStudio and EnergyPlus engines using ISHRAE typical-year weather data. In parallel, cast ground-shadow areas were derived analytically for all 36 instants from a rectangular-prism projection, with solar positions from the NREL Solar Position Algorithm. Results: Annual site energy-use intensity (EUI) falls from 479 to 396 kWh m⁻² yr⁻¹ with internal loads held identical, and cooling takes 74.5–81.3 % of site energy in every zone; these are ideal-load results for a fully conditioned scenario, not predictions of metered consumption. The cooling-to-heating ratio falls from infinity at Chennai to about 26 to 1 at Shimla but never inverts. Cast shadow area spans 30–733 m², and the city-mean shadow area correlates inversely with site EUI (r = −0.98, 95 % CI −1.00 to −0.34, p = 0.019, n = 4). An independently built EnergyPlus model verifies the workflow within +6.3 % to +14.2 % of site energy at the three lowland cities and shows that the cloud weather data behind the BIM runs do not resolve Shimla’s 2,202 m highland climate. Conclusions: The indicative shading recommendations and the closed-form shadow-area model give practitioners a reproducible, early-stage design aid for setting façade-specific shading and estimating cast-shadow extent at any Indian site from latitude, orientation and date alone.

Authors

Institutions

Publication Details

Journal
Engineering Research Express
Published
2026-10-27
DOI
https://doi.org/10.1088/2631-8695/aeba39
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

BIM integrated sun-path and energy analysis to evaluate self-shading and cooling and heating demand of a G+3 residential building model in four different climate zones in India

Arun Solomon A, Akila Agnes S
1 links
Engineering Research Express
Building Energy and Comfort Optimization
article

BIM integrated sun-path and energy analysis to evaluate self-shading and cooling and heating demand of a G+3 residential building model in four different climate zones in India

Arun Solomon A, Akila Agnes S
article en

Abstract

Abstract Purpose: This paper presents a reproducible Building Information Modelling (BIM) workflow that couples sun-path and floor-by-floor shadow analysis with whole-building energy simulation, applying one geometrically invariant residential prototype across the four climatic zones of India to give architects, builders and code authorities indicative, climate-graded shading guidance. Methods: A G+3 reference model of 391.52 m², created in Autodesk Revit 2025, was replicated without geometric change in Chennai (Warm-Humid), Jodhpur (Hot-Dry), New Delhi (Composite) and Shimla (Cold). Shadow plots were generated at nine Indian Standard Time instants per city, and annual energy performance was simulated with the Revit-integrated OpenStudio and EnergyPlus engines using ISHRAE typical-year weather data. In parallel, cast ground-shadow areas were derived analytically for all 36 instants from a rectangular-prism projection, with solar positions from the NREL Solar Position Algorithm. Results: Annual site energy-use intensity (EUI) falls from 479 to 396 kWh m⁻² yr⁻¹ with internal loads held identical, and cooling takes 74.5–81.3 % of site energy in every zone; these are ideal-load results for a fully conditioned scenario, not predictions of metered consumption. The cooling-to-heating ratio falls from infinity at Chennai to about 26 to 1 at Shimla but never inverts. Cast shadow area spans 30–733 m², and the city-mean shadow area correlates inversely with site EUI (r = −0.98, 95 % CI −1.00 to −0.34, p = 0.019, n = 4). An independently built EnergyPlus model verifies the workflow within +6.3 % to +14.2 % of site energy at the three lowland cities and shows that the cloud weather data behind the BIM runs do not resolve Shimla’s 2,202 m highland climate. Conclusions: The indicative shading recommendations and the closed-form shadow-area model give practitioners a reproducible, early-stage design aid for setting façade-specific shading and estimating cast-shadow extent at any Indian site from latitude, orientation and date alone.

Engineering Research Express
GMR Institute of Technology (IN)
Climate action, Sustainable cities and communities, Affordable and clean energy
Openalex Percentile: Top 16%
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.

Laika access coming soon