Abstract Energy models consider technical and economic criteria to define the optimal energy mix to produce electricity. However, the results are sub-optimal from the social point of view, since they do not include socio-environmental factors. The purpose of this study is to access the sustainability of power plants considering technical-economic, socio-environmental and institutional aspects so that to improve the expansion planning. Thus, the efficiencies calculated by slacks based measure approach of Data Envelopment Analysis methodology can be implemented as constraints in the models, signalizing that the socio-environmental impact cannot exceed a limit, which can be calculated by the energy model itself. The results show that renewable power plants contribute more to allocative efficiency than fossil fuel ones, both in terms of social and environmental aspects, which are of utmost importance in ranking power plants to model power capacity expansion. Considering just technical and economic factors has proved to be insufficient to optimize the system in terms of allocative efficiency.

中文翻译：

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在电力部门扩张规划中插入社会环境变量

摘要 能源模型考虑了技术和经济标准来定义用于发电的最佳能源组合。然而，从社会的角度来看，结果是次优的，因为它们不包括社会环境因素。本研究的目的是从技术经济、社会环境和制度方面考虑发电厂的可持续性，以改进扩建规划。因此，数据包络分析方法的基于松弛的度量方法计算的效率可以作为模型中的约束来实施，表明社会环境影响不能超过限制，这可以由能源模型本身计算。结果表明，可再生能源发电厂比化石燃料发电厂对配置效率的贡献更大，在社会和环境方面，这对于对电厂进行排名以模拟电力容量扩张至关重要。事实证明，仅考虑技术和经济因素不足以在配置效率方面优化系统。