An agent based model for joint placement of PV panels and green roofs

Photovoltaic panels generate electricity directly from sunlight, making them a favored renewable technology. Green roofs are rooftops covered with vegetation, which provide a variety of benefits, namely, reducing stormwater runoff, improving air quality, and biodiversity. Green roofs are capable of improving the efficiency of Photovoltaic panels, as shown by the recent studies. Optimal placement of Photovoltaic panels and green roofs is a challenging problem due to the complications imposed by uncertainties associated with future climate conditions, specifically due to climate change. An agent based model to optimally place Photovoltaic panels and green roofs is developed in this study. We propose a tabu search metaheuristic algorithm to solve the developed model. Then, a real-world case for a mid-sized city in the U.S. is solved as a case study for the model. We further conduct numerical analysis and provide insights.

[1]  Esther S. Parish,et al.  A Web-Based Geographic Information Platform to Support Urban Adaptation to Climate Change , 2017 .

[2]  Fred W. Glover,et al.  Tabu Search , 1997, Handbook of Heuristics.

[3]  Lucas Witmer.  AN ENERGY BALANCE MODEL OF GREEN ROOF INTEGRATED PHOTOVOLTAICS : A DETAILED ENERGY BALANCE INCLUDING MICROCLIMATIC EFFECTS , 2011 .

[4]  Hyo Seon Park,et al.  The optimal photovoltaic system implementation strategy to achieve the national carbon emissions reduction target in 2030: Focused on educational facilities , 2016 .

[5]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[6]  John E. Taylor,et al.  Modeling building occupant network energy consumption decision-making: The interplay between network structure and conservation , 2012 .

[7]  Fjo De Ridder,et al.  Electricity storage for grid-connected household dwellings with PV panels , 2010 .

[8]  T. James,et al.  Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections. 2014 Edition (Presentation) , 2013 .

[9]  M. Santamouris,et al.  Analysis of the green roof thermal properties and investigation of its energy performance , 2001 .

[10]  Donald Chung,et al.  U.S. Photovoltaic Prices and Cost Breakdowns. Q1 2015 Benchmarks for Residential, Commercial, and Utility-Scale Systems , 2015 .

[11]  Sam C. M. Hui,et al.  Integration of green roof and solar photovoltaic systems , 2011 .

[12]  Bradley S. Neish,et al.  Methodology for estimating solar potential on multiple building rooftops for photovoltaic systems , 2013 .

[13]  Luisa F. Cabeza,et al.  Thermal assessment of extensive green roofs as passive tool for energy savings in buildings , 2016 .

[14]  R. Bookstaber,et al.  Using Agent-Based Models for Analyzing Threats to Financial Stability , 2012 .

[15]  Levent Yilmaz,et al.  Agent-based simulation applications in marketing research: an integrated review , 2014, J. Simulation.

[16]  Adam Scherba,et al.  Modeling impacts of roof reflectivity, integrated photovoltaic panels and green roof systems on sensible heat flux into the urban environment , 2011 .

[17]  Eliot R. Smith,et al.  Agent-Based Modeling: A New Approach for Theory Building in Social Psychology , 2007, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[18]  End Use.  Annual energy outlook : with projections to ... , 1983 .

[19]  Nasrudin Abd Rahim,et al.  Progress in solar PV technology: Research and achievement , 2013 .