Description

This paper presents an end-user technology selection and operation (TSO) optimisation model which simultaneously optimizes the selection, design and operation of photovoltaic (PV) and battery systems in the context of commercial buildings integration. This model serves to guide business decision makers by assessing investment attractiveness and strategies. The TSO model showcases the valuable insights a comprehensive approach can bring to distributed energy systems evaluation by capturing the technical, financial, and environmental impacts they have on buildings. These insights are attainable by employing granular state-of-the-art datasets that feed the model, such as half-hourly building electricity demand and prices, irradiance levels from weather stations, regulatory incentives, and technology databases. For a selected building and considering a portfolio of technologies, a mixed-integer linear programming model selects an optimal combination of technologies and capacities while establishing the optimum operational strategy that provides the best return on investment. The case study of a retail distribution centre is provided to highlight the capabilities of the model. Results showcase the model and provide valuable insights into project evaluation and thus reduces the uncertainty associated with high capital projects. Overall, attractive PV and battery storage systems investments can be identified for UK commercial buildings through the implementation of integrated optimization models.

Citation: 2017 Annual Conference, Long Beach, CA, Conference Papers

Product Details

Published:

2017

Number of Pages:

8

Units of Measure:

Dual

File Size:

1 file , 2 MB

Product Code(s):

D-LB-17-C062