Below are a selection of current projects that some of our faculty are working on:
Development of GIS based tools for optimized fluids management in shale gas operations
(Sponsored by US Department of Energy, PI Dr. Bradley)
Water management is perhaps the key element of successful efforts to enhance safety and environmental protection during the development of domestic natural gas and other petroleum resources. Optimized management of water can minimize community impacts such as truck traffic, noise and road damage, reduce air quality concerns such as the release of air toxics, and influence well pad siting and density decisions that result in a reduction of disturbance to the landscape. Researchers at CSU's Systems Engineering program, and Department of Civil and Environmental Engineering have developed a comprehensive suite of modeling and decision support tools that help operators design and implement integrated development plans that result in a smaller regional water, energy, environmental, and social footprint. Systems Engineering tools were used to develop detailed modeling of field logistics, optimization of drilling operations, and treatment technologies. Click here for more information.
The CSU-CHILL National Facility
(Sponsored by National Science Foundation and Colorado State University, PI Dr. V Chandrasekar)
The Colorado State University (CSU) proposes to continue operating the research weather radar known as CHILL as part of the national Lower Atmosphere Observing Facility (LAOF) suite. CSU-CHILL is a state-of-the-art dual-frequency (S- and X-band), dual-polarization radar located in Greeley, Colorado that provides radar data in support of NSF-funded scientific research. CSU-CHILL staff will maintain and operate the radar to facilitate cutting-edge research in the areas of atmospheric dynamics and cloud physics. Researchers at CSU's Systems Engineering program, and Department of Electrical and Computer Engineering work to architect develop and validate new architectures and algorithms for dual-frequency radar systems. Click here for more information.
CSU SE researchers are assisting the Government of Rwanda with natural resource management and energy policy development
Plug in Hybrid Vehicle Data Analysis Project
(Sponsored by Electric Power Research Institute, PI Dr. Bradley)
EPRI and its utility partners are interested in understanding the emissions and energy consumption benefits that accrue to utilities that have purchased and used medium duty PHEV trucks. These 58 vehicles are manufactured and sold by Via Motors and Odyne Systems LLC, and have been instrumented by EPRI and the host utility through the EPRI Electrans Program. The objective of this study is to repeatedly and quantitatively tabulate the emissions, electrical energy consumption, and fuel savings that are associated with these vehicles. CSU Systems Engineering researchers have developed software that can allow for the emissions and energy accounting to occur in this “big-data” environment, which allows the for the accrual of policy-relevant emissions credits to the operators of these low-emissions commercial vehicles. Click here for more information.
Use of a Real Time Digital Simulator (RTDS) laboratory to de-risk Micro-Grid control system operating dynamics
(Sponsored by US Department of Energy, PI Dr. Suryanarayanan)
The Real Time Digital Simulator (RTDS) creates a highly accurate power grid environment that can be used to run experiments without affecting actual power system stability or safety. This US DOE facility will be used by researchers in Systems Engineering to develop the algorithms and processes for developing, validating and testing Micro-Grid control systems. These systems will be tested using a suite of international microgrid development projects that are ongoing at CSU and other institutions. Click here for more information.
CSU SE researchers are working with biologists and chemical engineers to develop means to rigorously assess and validate the environmental impacts of notional biofuels processes integrating experiment, computation and lifecycle assessment.