A data-driven framework for deploying solar PV at Penn State University

Meghan Hoskins, Simon W. Miller, Michael Prinkey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Pennsylvania State University has set greenhouse gas (GHG) emissions reduction goals that must be met with minimal impact on tuition rates. Investment in solar photovoltaic (PV) generation is a key part of this mission, and site selection is a critical component of the decision-making process. The decision framework Penn State developed to investigate the economic impacts of solar PV installation site selection on the University Park campus are detailed as a case study that other institutions, organizations, or corporations, could readily adopt. The case study shows the power of a data-driven, objective decision-making process to compare multiple (competing) criteria using a single framework to explore many possible solutions. The framework relies on analyzing options through modeling the interaction of both decision-maker controlled and externally controlled factors, visualizing the impacts of potential decision tradeoffs on the outcomes over a range of possible futures, and developing preferences while exploring simulation resultant data. The methods and tools used during the process are described as are the results and insights gained by comparing options. Finally, the next steps in Penn State's transition to decreasing its GHG emissions are discussed.

Original languageEnglish (US)
Title of host publicationSOLAR 2018 - 47th National Solar Conference of the American Solar Energy Society
EditorsPaulette Middleton, Jill Cliburn
PublisherAmerican Solar Energy Society
Pages23-31
Number of pages9
ISBN (Electronic)9783981465990
DOIs
StatePublished - Jan 1 2018
Event47th National Solar Conference of the American Solar Energy Society, SOLAR 2018 - Boulder, United States
Duration: Aug 5 2018Aug 8 2018

Publication series

NameSOLAR 2018 - 47th National Solar Conference of the American Solar Energy Society

Conference

Conference47th National Solar Conference of the American Solar Energy Society, SOLAR 2018
CountryUnited States
CityBoulder
Period8/5/188/8/18

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

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  • Cite this

    Hoskins, M., Miller, S. W., & Prinkey, M. (2018). A data-driven framework for deploying solar PV at Penn State University. In P. Middleton, & J. Cliburn (Eds.), SOLAR 2018 - 47th National Solar Conference of the American Solar Energy Society (pp. 23-31). (SOLAR 2018 - 47th National Solar Conference of the American Solar Energy Society). American Solar Energy Society. https://doi.org/10.18086/solar.2018.01.03