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Residential solar power in upstate New York : an analysis of the key drivers of adoption
Author(s) -
Letzelter
Publication year - 2018
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20293296
Subject(s) - subsidy , renewable energy , solar power , electricity , context (archaeology) , photovoltaic system , incentive , schedule , solar energy , environmental economics , engineering , business , power (physics) , economics , geography , management , electrical engineering , physics , archaeology , quantum mechanics , market economy , microeconomics
This research project explores the decision factors that influenced the adoption of residential solar power systems in upstate New York. New York has a Clean Energy Standard (CES) that requires 50 percent of electric energy in the State be supplied by renewable resources, which includes solar electricity, by 2030. Currently, and into the near future, New York supports the solar industry by providing incentives in the form of subsidies and financing for solar power systems. The program, NY-Sun, is administered by the New York State Energy Research and Development Authority (NYSERDA). However, the subsidies are on a schedule of declining magnitude and will be phased out by 2023. Thus, identifying the most important decision factors may be useful in understanding potential means of promoting solar technology adoption in the context of declining economic incentivization. Data for this research was collected through an online survey of homeowners in upstate New York who have installed residential solar power systems. In addition to capturing demographic data about the respondents (e.g., gender, age, education level, income), the survey asked participants to rate the importance of decision factors that influenced their decision to adopt a solar power system at home. The analysis provides a demographic profile of the adopters and a descriptive statistical analysis of the importance of the decision factors. A correlation analysis was used to determine how the adoption factors correlate with demographic factors. Finally, the data was analyzed to identify how factors have changed over time. The goal of this research is to contribute new information to the field for the benefit of policymakers and solar industry actors.

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