South African Industry Practitioners on Building Energy Simulation Software: Implementation Challenges and Opportunities

Building Energy Modelling (BEM) practitioners play a crucial role in delivering energy-efficient buildings by analysing building performance using simulation tools. However, their experiences while using BEM software to predict building energy performance are understudied. In addition, research that directly engages with practitioners and stakeholders is particularly lacking in the Global South (GS), where the bulk of new building construction takes place. This study explores the implementation challenges and opportunities associated with BEM software among South African industry practitioners, focusing on their experiences in utilising BEM tools. Structured interviews were conducted with 19 South African industry specialists, supplemented by quantitative data collected through a questionnaire. Qualitative data from the interviews were analysed using MAXQDA 24 Analytics Pro to identify key themes, while quantitative data were visualised to compare software preferences. The analysis indicated that DesignBuilder is widely used, followed by BSIMAC. These tools highlight the largest opportunities for supporting active South African practitioners. The respondents highlighted the need for user-friendly interfaces, standardised methodologies, and improved training to address entry barriers and inconsistent simulation outcomes. Mixed opinions exist regarding the preference for tools with visual representations of 3D geometry, primarily influenced by the field of specialisation and how it impacts client engagement. The research concludes that while BEM software is critical for advancing sustainable design, its effective implementation is hindered in South Africa and potentially in the GS. Recommendations include developing more intuitive software interfaces, establishing standardised modelling approaches, and creating structured training programmes and professional forums to enhance practitioner proficiency, knowledge transfer across contexts, and industry-wide adoption.