TY - GEN
T1 - Assessing demand impact of solar capacity growth in Philadelphia
AU - Ranalli, Joseph
AU - Bayrakci Boz, Mesude
AU - Calvert, Kirby
AU - Brownson, Jeffrey R S
N1 - Publisher Copyright:
© 2016. The Authors. Published by International Solar Energy Society.
PY - 2016
Y1 - 2016
N2 - SolarPVAnalyst 2.0 is a tool, currently under development, that supports spatial decision making related to solar energy. This paper demonstrates a case study of SolarPVAnalyst 2.0, applied to assesses the impacts of PV siting and capacity growth on regional utility loads. In the absence of large-scale storage or other alternative forms of mediation, increased PV capacity is expected to lead to rapid changes in load that will require rapid response from traditional generation, and have been cited as an obstacle to successful growth of distributed rooftop solar generation. Rooftop segments identified by SolarPVAnalyst 2.0 were used to simulate deployment of PV installations throughout the city of Philadelphia. The installations were categorized by their approximate azimuth and tilt. Different solar growth strategies emphasizing a mix of solar deployment distributed among the cardinal directions azimuth groups were compared with regard to their impact on the regional net electricity demand, and load ramp rates throughout the year. Similar analyses enabled by SolarPVAnalyst could be used to predict the degree of challenge that increased growth of solar capacity poses to utility operation, and to create strategies to encourage development (e.g. through the use of targeted incentives) that could favorably mitigate the net demand impacts. Analyses can be multi-scalar, by examining spatially explicit load profiles at the city scale, neighborhood scale, or at the scale of an individual sub-station.
AB - SolarPVAnalyst 2.0 is a tool, currently under development, that supports spatial decision making related to solar energy. This paper demonstrates a case study of SolarPVAnalyst 2.0, applied to assesses the impacts of PV siting and capacity growth on regional utility loads. In the absence of large-scale storage or other alternative forms of mediation, increased PV capacity is expected to lead to rapid changes in load that will require rapid response from traditional generation, and have been cited as an obstacle to successful growth of distributed rooftop solar generation. Rooftop segments identified by SolarPVAnalyst 2.0 were used to simulate deployment of PV installations throughout the city of Philadelphia. The installations were categorized by their approximate azimuth and tilt. Different solar growth strategies emphasizing a mix of solar deployment distributed among the cardinal directions azimuth groups were compared with regard to their impact on the regional net electricity demand, and load ramp rates throughout the year. Similar analyses enabled by SolarPVAnalyst could be used to predict the degree of challenge that increased growth of solar capacity poses to utility operation, and to create strategies to encourage development (e.g. through the use of targeted incentives) that could favorably mitigate the net demand impacts. Analyses can be multi-scalar, by examining spatially explicit load profiles at the city scale, neighborhood scale, or at the scale of an individual sub-station.
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U2 - 10.18086/solar.2016.01.19
DO - 10.18086/solar.2016.01.19
M3 - Conference contribution
AN - SCOPUS:85015259546
T3 - SOLAR 2016 - American Solar Energy Society National Solar Conference 2016 Proceedings
SP - 104
EP - 110
BT - SOLAR 2016 - American Solar Energy Society National Solar Conference 2016 Proceedings
A2 - Renne, David
A2 - Perez, Richard
PB - American Solar Energy Society
T2 - American Solar Energy Society National Solar Conference 2016, SOLAR 2016
Y2 - 10 July 2016 through 13 July 2016
ER -