In 2006, the International Energy Agency (IEA) reported that 19% of global electricity generation resulted from lighting. Thus, lighting is a major source of electricity consumption around the world. By properly selecting the lighting sources used, each household can reduce energy consumption, while reducing utility costs. We create a decision support model for selecting the optimal light bulb assortment of a household. We take into account both quantitative parameters of the bulbs, such as purchase price, and electricity cost; as well as qualitative properties, such as environmental effects. Using mixed integer programming, we develop a customized multi-objective optimization model, which minimizes total cost and maximizes user defined "green factors". A user interface allows the user to obtain customized results by specifying their personal priorities and needs.
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机译：2006年，国际能源机构（IEA）报告称，19％的全球发电引发了照明。因此，照明是世界各地的电力消耗的主要来源。 By properly selecting the lighting sources used, each household can reduce energy consumption, while reducing utility costs.我们创建了一个决策支持模型，用于选择家庭的最佳灯泡各种各样。我们考虑了灯泡的定量参数，例如购买价格和电费;以及定性性质，例如环境效应。使用混合整数编程，我们开发了一种定制的多目标优化模型，可最大限度地减少总成本并最大限度地提高用户定义的“绿色因子”。用户界面允许用户通过指定个人优先级和需求来获取自定义结果。
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