A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations

[1]  Julieta Schallenberg-Rodriguez,et al.  A methodological review to estimate techno-economical wind energy production , 2013 .

[2]  G. Štumberger,et al.  Rating of roofs’ surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data , 2013 .

[3]  Andrew Lovett,et al.  Renewables in residential development: an integrated GIS-based multicriteria approach for decentralized micro-renewable energy production in new settlement development: a case study of the eastern metropolitan area of Cagliari, Sardinia, Italy , 2012 .

[4]  R. Müller,et al.  A new solar radiation database for estimating PV performance in Europe and Africa , 2012 .

[5]  Christoph F. Reinhart,et al.  The ‘adaptive zone’ – A concept for assessing discomfort glare throughout daylit spaces , 2012 .

[6]  G. Almonacid,et al.  Assessment of the renewable energies potential for intensive electricity production in the province of Jaén, southern Spain , 2012 .

[7]  Joshua M. Pearce,et al.  Incorporating Shading Losses in Solar Photovoltaic Potential Assessment at the Municipal Scale , 2012, Solar Energy.

[8]  T. Santos,et al.  Photovoltaic potential in a Lisbon suburb using LiDAR data , 2012 .

[9]  Yosoon Choi,et al.  PV Analyst: Coupling ArcGIS with TRNSYS to assess distributed photovoltaic potential in urban areas , 2011 .

[10]  L. Bergamasco,et al.  Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: application to Piedmont Region (Italy) , 2011 .

[11]  Antonio Luque,et al.  Handbook of photovoltaic science and engineering , 2011 .

[12]  Christoph F. Reinhart,et al.  THE 鄂ADAPTIVE ZONE 鈂 阂 A CONCEPT FOR ASSESSING GLARE THROUGHOUT DAYLIT SPACES , 2011 .

[13]  Christoph F. Reinhart,et al.  SOLAR AVAILABILITY: A COMPARISON STUDY OF SIX IRRADIATION DISTRIBUTION METHODS , 2011 .

[14]  Joshua M. Pearce,et al.  Estimating Potential Photovoltaic Yield with r.sun and the Open Source Geographical Resources Analysis Support System , 2010 .

[15]  photographer Alex S. MacLean.  City of Cambridge , 2010 .

[16]  M. Navvab,et al.  QUANTIFICATION OF AVAILABLE SOLAR IRRADIATION ON ROOFTOPS USING ORTHOPHOTOGRAPH AND LIDAR DATA , 2010 .

[17]  Melvin Pomerantz,et al.  Solar access of residential rooftops in four California cities , 2009 .

[18]  J. Kaňuk,et al.  Assessment of photovoltaic potential in urban areas using open-source solar radiation tools , 2009 .

[19]  J. Tovar-Pescador,et al.  A comparative analysis of DEM‐based models to estimate the solar radiation in mountainous terrain , 2009, Int. J. Geogr. Inf. Sci..

[20]  Christoph F. Reinhart,et al.  Experimental Validation of Autodesk® 3ds Max® Design 2009 and Daysim 3.0 , 2009 .

[21]  M. Hollaus,et al.  OBJECT DETECTION IN AIRBORNE LIDAR DATA FOR IMPROVED SOLAR RADIATION MODELING IN URBAN AREAS , 2009 .

[22]  Daniel M. Riley,et al.  Comparison of PV system performance-model predictions with measured PV system performance , 2008, 2008 33rd IEEE Photovoltaic Specialists Conference.

[23]  Michael A. Quintana,et al.  Photovoltaic module performance and durability following long-term field exposure , 2008 .

[24]  J. Hofierka,et al.  GRASS GIS manual: r.sun , 2007 .

[25]  Thomas A. Huld,et al.  Estimating average daytime and daily temperature profiles within Europe , 2006, Environ. Model. Softw..

[26]  C. Reinhart,et al.  Development and validation of a Radiance model for a translucent panel , 2006 .

[27]  Thomas Huld,et al.  PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe , 2005 .

[28]  Jaroslav Hofierka,et al.  A New GIS‐based Solar Radiation Model and Its Application to Photovoltaic Assessments , 2004, Trans. GIS.

[29]  D. Robinson,et al.  Irradiation modelling made simple: the cumulative sky approach and its applications , 2004 .

[30]  D. L. King,et al.  Commonly observed degradation in field-aged photovoltaic modules , 2002, Conference Record of the Twenty-Ninth IEEE Photovoltaic Specialists Conference, 2002..

[31]  M. Anderberg,et al.  PVWATTS Version 2 - Enhanced Spatial Resolution for Calculating Grid-Connected PV Performance , 2001 .

[32]  Christoph F. Reinhart,et al.  Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds , 2001 .

[33]  John Mardaljevic,et al.  Simulation of annual daylighting profiles for internal illuminance , 2000 .

[34]  D. L. King,et al.  Photovoltaic module performance and durability following long‐term field exposure , 2000 .

[35]  J. Michalsky,et al.  All-weather model for sky luminance distribution—Preliminary configuration and validation , 1993 .

[36]  Shin Heu,et al.  Experimental Validation of , 1991 .

[37]  Charles R. Schwarz,et al.  The North American datum of 1983: Project methodology and execution , 1990 .

[38]  W. Beckman,et al.  Diffuse fraction correlations , 1990 .