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Faculty and Student
Teams Program
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Project Descriptions
Pacific
Northwest National Laboratory
Energy Technology Development Group
Power System Econophysics
Requesting applications from science, economics or engineering faculty
members at institutions serving students underrepresented in science,
engineering, mathematics and technology.
Project Description
The GridWiseTM
Program at Pacific Northwest National Laboratory (PNNL) is investigating
the development and validation of models that describe the joint behavior
of electric power markets and systems. Among the opportunities for research
is the investigation of models based on physical analogies (e.g., statistical
mechanics, quantum mechanics) that yield both time-independent and time-dependent
models of the joint econophysical behavior of power systems and power
markets. PNNL will provide researchers with access to extensive data sets
and simulations of load behavior, system dynamics, power markets, as well
as elementary system models from which a first-principles derivation of
various system statistics and aggregate properties may be possible.
Applicants Responsibilities and Relationship to Project
Applicants will receive support under the Department of Energy Faculty
and Student Team (FaST) Research Program to work collaboratively with
the project research team at the Laboratory for up to 10 weeks during
the summer of 2006. The exact appointment period in the time frame of
June to August will be scheduled by mutual agreement between the host
division at Pacific Northwest National Laboratory and the successful applicant.
Faculty will be expected to identify a student or students from their
campus to participate in the Department of Energy (DOE) FaST program,
sponsored by the DOE Office of Science. The faculty member will provide
some mentorship to students during the summer research activities. The
faculty and student(s) must participate as a group. It is expected
that the faculty member and the students become an integral part of the
research team working on this project and that opportunities for continued
collaboration may be identified.
Qualifications of Ideal Candidate
| Faculty: |
Extensive experience statistical physics, economics, and a basic
understanding of power markets, power systems, and theories of complexity.
Demonstrated record of innovative thinking in physics and theory. |
| Student: |
Undergraduate coursework and research experience in statistical
physics and/or experimental economics. Electrical engineering coursework
and experience desirable. Highly versatile and original problem solvers
highly desirable. |
Support and Financial Commitments
See Financial Information.
For More Information contact:
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