Associate Professor, Environmental Engineering
Dept of Mechanical and Aerospace Engineering
co-Director, California Solar Energy Collaborative
Associate Director, UCSD Center for Energy Research
9500 Gilman Dr, EBUII - 580
University of California, San Diego
La Jolla, CA, 92093-0411
cell: (443) 527-2740, off: (858) 534-8087
PhD., Environmental Engineering, Johns Hopkins University, 2004
Fly through the UC San Diego campus and view my wireless sensor network.
Hiring: Postdoctoral Fellows, PhD students, Undergraduate Students / Summer Interns
MAE126B Spring quarters: Senior (capstone) design course for Environmental Engineers
MAE126A Spring quarters: Laboratory Experiment Course for Environmental Engineers
MAE255 Spring quarters: Boundary Layer and Renewable Energy Meteorology
Outreach / Events
K12 Environmental Education with Solar Energy lesson plans through the UCSD Teams in Intership Service (TIES) program
My research group works in Environmental Fluid Mechanics and Solar Radiation in the atmosphere through field experimental (scintillometry, sky cameras, sensor networks) and computational techniques. The research is unique in that it spans the spectrum of fundamental work to applications with the goal of increasing environmental sustainability. Sample applications are energy conservation through urban heat island mitigation, and solar power resource mapping and forecasting. Student mentoring is my priority: My students present regularly at national and international conferences, have received fellowships from NASA and NSF, and collaborate with NREL, Sandia, and Lawrence Berkeley National Lab on research projects. Please contact me if you have any questions.
Kleissl Solar Resource Assessment and Forecasting Lab
Solar resource assessment (How much solar radiation can be typically expected?) and forecasting (How much solar radiation can be expected in the next hour or next day?) are critical to expanding the penetration of solar power on the electric grid. Kleissl collaborates with the National Renewable Energy Lab (NREL) and was selected by the California Energy Commission and California Solar Initiative to conduct solar resource assessment and forecasting for the state of California.
|© Google Earth, 2010|
Satellite remote sensing models (top left), numerical weather prediction (bottom), and ground sensors (top right) are used to provide solar forecasts for time horizons from 10 minutes to 72 hours. The map on the top left shows GOES satellite GHI [W m-2] for the San Diego area at 1 km resolution. Clouds (east half) cause a substantial reduction in GHI. The coast is visible due to satellite navigation errors. Cloud motion vectors are applied to forecast the movement of the clouds. North American Model (NAM) output from the National Weather Service is shown on the bottom left for a storm system moving through California.
Kleissl Urban Energy Efficiency Lab
Increasing energy efficiency is a primary objective for achieving energy independence and environmental sustainability. Buildings consume 40% of total US primary energy and 72% of electricity, a large fraction of which is used for heating, ventilation and air conditioning (HVAC). Higher urban temperatures caused by the urban heat island (UHI) effect increase the energy use for cooling in a positive feedback loop. UHIs also impact meteorology (sea breeze), air quality (Ozone smog), and public health (heat wave mortality). The US Climate Change Science Program determined that climate change will exacerbate the intensity of the UHI and recommended that spatial extent and diurnal changes of the UHI be evaluated at fine spatial scales. Quantification of UHI causes and effects at fine spatial scales can inform green engineering strategies (such as reflective roof coatings, solar panels, artificial turf, and urban forests) to improve the existing building stock and to create energy efficient communities.
Understanding heat transfer between buildings and the environment is considered to be one of the key elements in the design of strategies that can help reduce energy consumption of an urban area. We run 3-dimensional models (top, left) that take into account meteorology, building and ground materials, and building operation modes to determine the urban thermal environment and building energy use.