Technical Track: Systems and Buildings
Getting to a 100% Renewable economy requires evidence based deployment and management of renewable technologies. Improvements in data acquisition and algorithms allow for better and more predictable performance of solar and wind resources. The session will include current available data, predictive models, a wind-farm’s life-cycle impact on carbon emissions and a strategy for a resilient solar-Integrated Grid.
Speakers, Titles : (proposed speaker order)
James Hall , A national database for solar resource assessment compiled from ground-based observations.
Nir Krakauer , Long-range predictability of fluctuations in solar and wind resources
Ehne Zhang , Solar-induced Optical Thermal Insulation by Spectral Selective Photothermal Coating on Building Windows
Mostafa Nazemi , The Role of Energy Supply Mobility on Resilience of Solar-Integrated Electric Distribution Grids
Rahim Khoie , The Carbon Emissions of Wind Power; A Study of Emissions of Windmill in the Panhandle of Texas
Regin Schwaen , House in a House
Ehne ZhangPenn State University
Solar-induced Optical Thermal Insulation by Spectral Selective Photothermal Coating on Building Windows
Due to th poor insulation, large amount of energy lost through windows. Conventional solutions includes replacing to double-pane window, are costly and not practical for some buildings. Recently we investigated spectral selective photothermal coating on single-pane windows via utilizing NIR solar energy, then the so called “optical thermal insulation” would reduce the heat loss through window in cold climate. In this research, we mathematically estimated the heat flux through windows and quantified the potential energy savings by photothermal coating on the single-pane windows. This work may facilitate the development of the next-generation architectural fenestration and associated window retrofit technologies which can be applied on single-pane windows.
James Hall earned a Master’s in Mechanical Engineering and a PhD in Artificial Intelligence, specializing in neural networks, or deep learning. He has over 40 years of experience developing new technologies based on a convergence of principles from engineering, artificial intelligence and big data. Successful projects include commercial solutions for agriculture, stock trading, process control, and market analysis. Each year billions of dollars of products are sold worldwide which incorporate his patents, technologies or product concept work.
Presentation Title: A national database for solar resource assessment compiled from ground-based observations.
Description: A new US solar radiation resource, comparable to the National Solar Radiation Database, has been compiled from 7000+ professionally maintained ground sites from 2005 to the present. Validation tests have shown that the daily and hourly GHI measurements in this ground-based database have lower uncertainty, lower observation error and lower bias error than satellite-based observations. This new solar resource provides an additional data source that can be combined with existing data, or used as a stand-alone database, to enhance the planning, site simulation and monitoring of solar projects. Daily data is available to the general public without cost.
I received the B.Sc. degree in electrical engineering from the K. N. Toosi University of Technology, Tehran, Iran, in 2015, and the M.Sc. degree in energy systems engineering from the Sharif University of Technology, Tehran, Iran, in 2017. I am currently working toward the Ph.D. degree in electrical engineering with the Department of Electrical and Computer Engineering, George Washington University, Washington, DC, USA. My research interests include power system resilience, power system planning and operation, energy optimizations, and smart electricity grid applications. I was the recipient of the 2018 Certificate of Excellence in Reviewing by the Editorial Board Committee of the Journal of Modern Power and Clean Energy for my contributions to the journal.
Presentation Title: The Role of Energy Supply Mobility on Resilience of Solar-Integrated Electric Distribution Grids
Description: In the past decades, weather- and cyber-driven high-impact low-probability (HILP) disasters have been observed more frequently. Mobile power sources (MPSs) including truck-mounted mobile emergency generators, mobile energy storage systems, and electric vehicles have a great potential for enhancing the power system resilience. This paper proposed a mechanism for the coordination of MPSs routing and scheduling with photovoltaic power (PV) generation to improve the distribution network (DS) operational resilience in dealing with the aftermath of HILP disasters. The original MINLP model is reformulated to a MILP counterpart to attain a structured coherent strategy in solar-integrated DS that harnesses the full potential of MPSs to accelerate the load outage recovery. Numerical results demonstrated that the proposed methodology could effectively facilitate the DS restoration, resulting in a remarkable reduction in the outage duration and enhanced operational resilience.
Nir KrakauerCity College of New York
Dr. Nir Krakauer earned a master’s and doctorate in geochemistry from the California Institute of Technology and is currently Associate Professor of Civil Engineering at the City College of New York. His research focuses on water management under a changing climate, as well as on the interaction of climate with health and with renewable energy. He has worked with local, state and Federal agencies and with in several developing countries on water issues. He is an ASES Life Member and currently serves as Technical Divisions chair.
Presentation Title: Long-range predictability of fluctuations in solar and wind resources
Description: As solar and wind resources become more integral to energy supplies, understanding and managing their variability becomes more important. Persistent weather patterns can affect winds and cloudiness for up to months at a time, affecting operator earnings and challenging grid reliability. In this presentation, I will review prospects for using long-range climate prediction to provide advance warning of such events, which would facilitate better managing their impacts.
Rahim KhoieUniversity of the Pacific
Rahim Khoie received his Ph.D. in Electrical Engineering from University of Pittsburgh, Pennsylvania in 1986. He is currently a professor of electrical and computer engineering at the University of the Pacific in Stockton, California, where he is also the director of the engineering physics program. He has held professorship at the Universities of Nevada and Florida. His areas of interest include renewable energy, photovoltaics, and semiconductor quantum and nano devices. He has published more than 100 articles in journals and proceedings and has given numerous invited presentations at conferences and scientific meetings. He also has received a number of research grants as well as teaching awards. Dr. Khoie has been member of a number of professional societies including ASES, IEEE, ASEE, and SPIE and has served in various chair positions including Pacific’s Academic Council, and Department of Electrical and Computer Engineering, as well as IEEE Student Activities and ASEE Southwest Section.
Presentation Title: The Carbon Emissions of Wind Power; A Study of Emissions of Windmill in the Panhandle of Texas
Description: The wind power in the United States has been expanding rapidly over the last several years. For the twelve months ending September 2019, the United States generated 286.6 terawatt-hour of wind power, roughly 7% of all generated electricity. A similar trend is seen in China and Europe which is expected to continue over the next decade.
There is no debate that electricity generation from coal and other fossil fuels must be stopped immediately. There is also no doubt that our electricity generation should become 100% renewable as soon as possible. However, the National Oceanic and Atmospheric Administration has concluded that the time has reached for the need to remove carbon from the atmosphere, if we are to slow down the catastrophic consequences of continued rise in total global emissions. This necessitates a careful study of the carbon-neutrality of renewable generation in the U.S. and across the globe.
Our study shows that the wind power generation in 2019 has generated roughly 4 million tons (MT) of emission, which is 98.2% less emissions than if this power had been generated from coal power plants. This 4 MT emission needs to be removed from the atmosphere, for the wind power to be truly carbon neutral. We are studying the carbon footprint of solar photovoltaic and will report our findings in future conferences.
Regin SchwaenNorth Dakota State University
Regin Schwaen is an Associate Professor at North Dakota State University where he teaches and lectures in contemporary architecture, theory, structure, ferro-cement and innovative concrete technology in the Department of Architecture and Landscape Architecture. He moved to the US in 2000 after teaching architecture for 5 years at The Royal Academy in Copenhagen, Denmark. He has received several prizes in national and international competitions, participated in exhibitions in Denmark, Germany, Italy, and the United States, and presented at national and international conferences.
Presentation Title: House in a House
Description: There is a huge amount of existing domestic dwellings in the United States that should be insulated and retrofitted. Existing houses can be better climate responsive to address an extended life time for many decades to come. The idea presented here is to construct a house in a house. Old domestic dwellings should not be replaced. Instead of tearing down existing dwellings hybrids should be made. This way the environment is not burdened with houses simply tossed away, but are instead given new resiliency, and thus reinvigorate existing neighborhoods that then can be included in the reduction of greenhouse gas emissions.