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International Conference on Innovative Applied Energy    

E-Proceedings ISBN: 978-1-912532-05-6

St Cross College, University of Oxford, United Kingdom



Measuring the Relative Impact of PV Power Loss/Gain on Residential PV Adoption



Nassma Mohandes, Ali Elrayyah, Antonio Sanfilippo and Amani Boumaiza

Qatar Environment and Energy Research Institute, Doha, Qatar



Paper Abstract

We evaluate the power losses and gains resulting from the integration of distributed generation through Rooftop Photovoltaic (RPV) systems into the grid, within scenarios where power generated is either fed back to the grid or consumed “behind the meter”. Power losses resulting from feeding RPV power to the grid are calculated relative to the distance of the site of power generation to the distribution feeder, using GIS data. When the power generated by RPV systems is consumed “behind the meter”, this loss is turned into an equivalent power gain. Early results for 65,536 buildings in Qatar with the assumed integration of a 5kW PV system per building show yearly power losses/gains of 7020MWh, and a possible residential PV adoption rate increases of 1.3% in scenarios with PV power gain. Simulations of residential PV adoption scenario show that power loss/gain has a mild but distinctive effect that gives rise to complex interactions as more factors affecting PV adoption (e.g. subsidies, carbon tax) are taken into account. The study suggests that overall power losses/gains are modest, providing mild support for a “behind the meter” PV integration solution. 

Paper Keywords
Solar energy, power loss, power transmission, residential PV adoption, GIS, agent-based modeling.
Corresponding author Biography

Dr. Antonio Sanfilippo is Chief Scientist at the Qatar Environment & Energy Research Institute (QEERI), where he leads the Smart Grid Portfolio – a research initiative focused on advanced power systems, solar resource mapping and forecasting, and demand-side management – and a grant on “PV Adoption in the GCC” funded by the Qatar National Research Fund.

From 2003 to 2014, Dr. Sanfilippo was Chief Scientist in the Computational and Statistical Analytics Division at the Pacific Northwest National Laboratory (PNNL), US Department of Energy (DOE). While at PNNL, he led research projects for the Department of Homeland Security (DHS), the National Institutes of Health (NIH), DOE, and the National Science Foundation (NSF). In 2004-2005, he headed a consortium of five national laboratories that established the Motivation and Intent thrust area at DHS, and led the PNNL team in this effort through 2009. From 2007 through 2011, he directed a four-year Laboratory Initiative at PNNL on predictive analytics focused on security, energy and environment applications. In 2012, he completed a five-year NIH grant on gene network prediction in stroke, and a four-year NSF grant on the science of science and innovation policy. From Sept 2011 through January 2014, he led an NIH grant on modeling the scientific workforce. In 2013, he was awarded a DHS grant on modeling cognitive response to mobile emergency alerts.

Prior to joining PNNL, Dr. Sanfilippo held positions as director of research strategy and planning at Textology Inc., director of text mining at SRA International, and director of advanced development at LingoMotors Inc., providing strategic vision, competitive intelligence and leading the development of new products. From 1998 to 2000, he served as a senior consultant for the Information Society Directorate at the European Commission, overseeing international research consortia and organizing promotion, consultation and dissemination events. 

While at SHARP Laboratories of Europe, from 1992 to 1998, he supervised research and development activities in the Information Technology group, led the development of new products in the area of machine translation and information management, and was principal investigator on several projects funded by the European Union. Prior to joining SHARP, Dr. Sanfilippo was a research associate at the Centre for Cognitive Science (Edinburgh, UK) and the Computer Laboratory (Cambridge, UK), doing applied research in computational linguistics. 

Dr. Sanfilippo holds a Laurea degree in foreign modern languages awarded cum laude from the University of Palermo (Italy), M.A. and M. Phil. degrees in anthropological linguistics from Columbia University (USA), and a Ph.D. in cognitive science from the University of Edinburgh (UK). He is the recipient of the 2008 Laboratory Director’s Award for Exceptional Scientific Achievement at PNNL.

The International Conference on Innovative Applied Energy (IAPE’18)