This thesis presents the optimization of a model of a solar combisystem installed in an energy efficient house in the climate of Montreal, Quebec. The work presented in the thesis includes: 1) A methodology for the optimization of a solar collector system based on four different objective functions; 2) The development of a computer-based platform for combisystem optimization; 3) Recommendations for the optimal configurations of a solar combisystem to minimize life cycle cost, life cycle energy use and life cycle exergy destroyed; and 4) The analysis of the performance of the hybrid stochastic, evolutionary and deterministic optimization approach.udThe optimizations, using is a hybrid particle swarm and Hooke-Jeeves optimization algorithm, were able to reduce the life cycle cost of the combisystem by 19%, the life cycle energy use by 24%, the life cycle exergy destroyed by 33% and 24% for the technical boundary and physical boundary, respectively.udDue to the high cost of the solar collector technologies and the low price of electricity in Quebec, none of the configurations have acceptable financial payback periods. However, all of the configurations have energy payback times within 7 years.udFor the life cycle exergy destroyed, using the technical boundary favors the use of electricity over solar energy due to the low exergy efficiency of the solar collectors. Using the physical boundary, on the other hand, favors the use of solar energy over electricity. ud
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机译：本文介绍了在魁北克蒙特利尔气候下安装在节能住宅中的太阳能组合系统模型的优化。本文提出的工作包括：1）基于四个不同目标函数的太阳能集热器系统优化方法； 2）开发用于组合系统优化的基于计算机的平台； 3）关于太阳能组合系统最佳配置的建议，以最大程度地减少生命周期成本，生命周期能源消耗和被破坏的生命周期火用； 4）混合随机，进化和确定性优化方法的性能分析。 ud采用混合粒子群和Hooke-Jeeves优化算法进行的优化能够将组合系统的生命周期成本降低19％ ，技术边界和物理边界的生命周期能源使用分别减少了24％，生命周期火用分别减少了33％和24％。 ud由于太阳能集热器技术的成本高且魁北克省的电价低，所有配置都没有可接受的财务回收期。但是，所有配置都具有7年之内的投资回收期。 ud对于生命周期的破坏，由于技术上的限制，由于太阳能集热器的低能效，使用技术而非太阳能是有利的。另一方面，使用物理边界有利于太阳能而不是电能的使用。 ud
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