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According to International Energy Agency (IEA), 35% of total energy is consumed in buildings. Proper management of building energy would effectively improve fossil fuel consumption by integrating Renewable Energy Sources (RES). This paper introduces novel methodology to deploy Renewable Energy Sources (RES) for buildings. The developed methodology composed of two steps: evaluation of RES deployment to a building and evaluation of load-generation scenarios in buildings. At first, the proposed algorithm obtains information about building facilities and structure that can be used to deploy PV, wind turbine and gas generator. Solar and wind profiles are analyzed and integrated with building energy model, which is used to evaluate potential energy generation scenarios. The second step includes the evaluation of different supply—generation scenarios based on load profiles and solar and wind generation profiles. This step will include the minimization of energy loss and will seek effective utilization of generated energy. A case study of domestic home in Toronto, Canada, was chosen as an example to demonstrate the proposed algorithm. Results are shown and analyzed which demonstrate the different scenarios generated for the selected case study based on loads and generation profiles. [ABSTRACT FROM AUTHOR]

According to International Energy Agency (IEA), 35% of total energy is consumed in buildings. Proper management of building energy would effectively improve fossil fuel consumption by integrating Renewable Energy Sources (RES). This paper introduces novel methodology to deploy Renewable Energy Sources (RES) for buildings. The developed methodology composed of two steps: evaluation of RES deployment to a building and evaluation of load-generation scenarios in buildings. At first, the proposed algorithm obtains information about building facilities and structure that can be used to deploy PV, wind turbine and gas generator. Solar and wind profiles are analyzed and integrated with building energy model, which is used to evaluate potential energy generation scenarios. The second step includes the evaluation of different supply--generation scenarios based on load profiles and solar and wind generation profiles. This step will include the minimization of energy loss and will seek effective utilization of generated energy. A case study of domestic home in Toronto, Canada, was chosen as an example to demonstrate the proposed algorithm. Results are shown and analyzed which demonstrate the different scenarios generated for the selected case study based on loads and generation profiles. [ABSTRACT FROM AUTHOR]