The effect of taking the water-energy foot-print (nexus) into account to achieve a better optimum design for a combined heating, cooling, and power (tri-generation) system is investigated here. A residential building is chosen as the case-study, and multi-objective optimization is done in two conditions for different operational strategies. A condition is the 3-objective scenario in which the energy, economic, and environmental indicators are the objective functions, while in another one, which is called the 4-objective scenario, the water foot-print is also added as an objective. According to the results, adding the water foot-print function leads to change the foremost operational strategy. The best strategy in the 3-objective optimization is the following hybrid load (FHL), whereas following monthly load (FML) is found as the foremost one of the 4-objective optimization. Moreover, when the water foot-print function is considered as an objective function, all the key performance criteria of the system are improved more significantly. By applying the best strategy of the 4-objective instead of the 3-objective scenario, the energy, economic, environmental, and water consumption objective functions have 12.08, 30.25, 2.03, and 25.63% higher values, respectively (Goal of the optimization is maximizing all the objective functions at the same time). Additionally, the detailed investigation for the best operational strategy of the 4-objective scenario reveals that with the contribution of 54% to the total value, the prime has the highest share in water consumption.

本文研究了考虑水能足迹（联系）以实现更好的最佳设计的组合供热，制冷和动力（三代）系统的效果。选择一栋住宅楼作为案例研究，并针对不同的运营策略在两个条件下完成了多目标优化。条件是三目标方案，其中能源，经济和环境指标是目标函数，而在另一目标中称为四目标方案，还添加了水足迹作为目标。根据结果​​，添加水足迹功能将导致改变最重要的运营策略。3目标优化中的最佳策略是以下混合负载（FHL），而按月负荷（FML）被认为是4目标优化中的最重要的一项。此外，当将水足迹函数视为目标函数时，系统的所有关键性能标准都会得到显着改善。通过应用4目标而非3目标方案的最佳策略，能源，经济，环境和水消耗目标函数的值分别增加12.08％，30.25％，2.03和25.63％（优化目标是同时最大化所有目标功能）。此外，针对四目标方案的最佳运营策略的详细调查显示，占总价值54％的黄金占主要部分，其耗水量最大。当将水足迹函数视为目标函数时，系统的所有关键性能标准都会得到显着改善。通过应用4目标而非3目标方案的最佳策略，能源，经济，环境和水消耗目标函数的值分别增加12.08％，30.25％，2.03和25.63％（优化目标是同时最大化所有目标功能）。此外，针对四目标方案的最佳运营策略的详细调查显示，占总价值54％的黄金占主要部分，其耗水量最大。当将水足迹函数视为目标函数时，系统的所有关键性能标准都会得到显着改善。通过应用4目标而非3目标方案的最佳策略，能源，经济，环境和水消耗目标函数的值分别增加12.08％，30.25％，2.03和25.63％（优化目标是同时最大化所有目标功能）。此外，针对四目标方案的最佳运营策略的详细调查显示，占总价值54％的黄金占主要部分，其耗水量最大。通过应用4目标而非3目标方案的最佳策略，能源，经济，环境和水消耗目标函数的值分别增加12.08％，30.25％，2.03和25.63％（优化目标是同时最大化所有目标功能）。此外，针对四目标方案的最佳运营策略的详细调查显示，占总价值54％的黄金占主要部分，其耗水量最大。通过应用4目标而非3目标方案的最佳策略，能源，经济，环境和水消耗目标函数的值分别增加12.08％，30.25％，2.03和25.63％（优化目标是同时最大化所有目标功能）。此外，针对四目标方案的最佳运营策略的详细调查显示，占总价值54％的黄金占主要部分，其耗水量最大。