TY - GEN
T1 - Matching photovoltaic orientation to energy loads
AU - Blumsack, Seth
AU - Brownson, Jeffrey
AU - Rayl, Jeff
PY - 2010
Y1 - 2010
N2 - Rather than orienting rooftop installation of photovoltaics (PV) to maximize power for the individual customer-generator, we analyze design and performance of integrated PV for two alternate objectives: 1.) maximizing the volume of grid sellbacks, and 2.) maximizing customer-generator revenue through net metering. These alternative orientation strategies attempt to maximize power output during times of peak demand on the grid, or when market prices are highest. Power output and PV system configurations were simulated using weather/radiation data for Pennsylvania. Given a system with no centralized storage capacity, we use relevant hourly system loads and Locational Marginal Prices (LMP) from the PJM Interconnection to determine the specific orientations required to integrate intervals of energy gains from the PV system with periods of high demand for electricity in a building. We also determined optimal orientation of PV systems for a time-of-use purchasing scenario, matching orientations and electrical gains with periods in the day when it is economically beneficial to sell to the grid. Given a net-metered PV system with no storage capacity, altering the PV panel orientations allows one to design peak solar energy production times to match any set of energy demands.
AB - Rather than orienting rooftop installation of photovoltaics (PV) to maximize power for the individual customer-generator, we analyze design and performance of integrated PV for two alternate objectives: 1.) maximizing the volume of grid sellbacks, and 2.) maximizing customer-generator revenue through net metering. These alternative orientation strategies attempt to maximize power output during times of peak demand on the grid, or when market prices are highest. Power output and PV system configurations were simulated using weather/radiation data for Pennsylvania. Given a system with no centralized storage capacity, we use relevant hourly system loads and Locational Marginal Prices (LMP) from the PJM Interconnection to determine the specific orientations required to integrate intervals of energy gains from the PV system with periods of high demand for electricity in a building. We also determined optimal orientation of PV systems for a time-of-use purchasing scenario, matching orientations and electrical gains with periods in the day when it is economically beneficial to sell to the grid. Given a net-metered PV system with no storage capacity, altering the PV panel orientations allows one to design peak solar energy production times to match any set of energy demands.
UR - http://www.scopus.com/inward/record.url?scp=77951730103&partnerID=8YFLogxK
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U2 - 10.1109/HICSS.2010.268
DO - 10.1109/HICSS.2010.268
M3 - Conference contribution
AN - SCOPUS:77951730103
SN - 9780769538693
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 43rd Annual Hawaii International Conference on System Sciences, HICSS-43
T2 - 43rd Annual Hawaii International Conference on System Sciences, HICSS-43
Y2 - 5 January 2010 through 8 January 2010
ER -