Energy system models are important for decision-making and are commonly applied to questions related to the decarbonisation of the energy system, reducing the cost of supplying energy, and managing energy security. However, with this importance have come calls to open up energy system modelling to improve transparency, reproducibility, collaboration, and productivity. Despite this, in jurisdictions such as Australia, open-source energy system models are yet to see widespread adoption and reuse. To better understand how the energy modelling community can promote the adoption of open-source energy system modelling software, this work uses semi-structured interviews to investigate the factors that influence users' choice of energy system modelling software and the perspectives of software developers on these factors. The key factors influencing user choice were usability, technical capability, social context and trust, and risk. In aggregate, developers showed a broad understanding of these factors, but the responses of individual developers typically did not describe the full variation in user responses. Based on our analysis, to promote the adoption of open-source software, we recommend that open-source software (1) developers ensure models are well-documented and (2) remain aware that their perceptions of user preferences may be limited, (3) influential members of the modelling community use open-source energy system modelling software and (4) publish data sets with appropriate licenses; and that (5) the modelling community works together to prioritise potential model improvements with consideration of capability gaps and relative advantage, (6) improve model interface design, and (7) explore options for the provision of support services.

中文翻译：

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如何支持开源能源系统建模软件的采用？来自用户和开发者访谈的见解

能源系统模型对于决策非常重要，通常应用于与能源系统脱碳、降低能源供应成本和管理能源安全相关的问题。然而，鉴于这种重要性，人们呼吁开放能源系统建模，以提高透明度、可重复性、协作和生产力。尽管如此，在澳大利亚等司法管辖区，开源能源系统模型尚未得到广泛采用和重用。为了更好地了解能源建模社区如何促进开源能源系统建模软件的采用，本工作采用半结构化访谈的方式来调查影响用户选择能源系统建模软件的因素以及软件开发人员对此的看法因素。影响用户选择的关键因素是可用性、技术能力、社会背景和信任以及风险。总的来说，开发人员对这些因素表现出了广泛的理解，但个别开发人员的反应通常没有描述用户反应的全部变化。根据我们的分析，为了促进开源软件的采用，我们建议开源软件 (1) 开发人员确保模型有详细记录，(2) 始终意识到他们对用户偏好的看法可能是有限的，(3 ) 建模界有影响力的成员使用开源能源系统建模软件，并且 (4) 发布具有适当许可的数据集；(5) 建模社区共同努力，考虑能力差距和相对优势，优先考虑潜在的模型改进，(6) 改进模型界面设计，(7) 探索提供支持服务的选项。