title: Mean-variance portfolio analysis data for optimizing community-based photovoltaic investment.
abstract: The amount of electricity generated by Photovoltaic (PV) systems is affected by factors such as shading, building orientation and roof slope. To increase electricity generation and reduce volatility in generation of PV systems, a portfolio of PV systems can be made which takes advantages of the potential synergy among neighboring buildings. This paper contains data supporting the research article entitled: PACPIM: new decision-support model of optimized portfolio analysis for community-based photovoltaic investment [1]. We present a set of data relating to physical properties of 24 houses in Oregon, USA, along with simulated hourly electricity data for the installed PV systems. The developed Matlab code to construct optimized portfolios is also provided in . The application of these files can be generalized to variety of communities interested in investing on PV systems.
authors.affiliation: School of Civil and Construction Engineering, Oregon State University, 220 Owen Hall, Corvallis, OR 97331, United States.
authors.forename: Mahmoud
authors.initials: M
authors.lastname: Shakouri
authors.affiliation: Department of Construction Management, University of Washington, 120 Architecture Hall, Campus Box 351610, Seattle, WA 98195, United States.
authors.forename: Hyun Woo
authors.initials: HW
authors.lastname: Lee
keywords: Community solar; Electricity volatility; Energy optimization; Photovoltaic system; Portfolio theory