Group for Research on Engineering ENergy-efficiency (GREEN)

Mailstop 3131, Dept. of Industrial and Systems Engineering,
Texas A&M University, College Station, TX 77843-3131.
Phone: (979) 845-5458


Objective:

To conserve the optimal amount of energy in systems with inherent uncertainty and/or dynamics using methods in stochastic control, performance analysis and mathematical programming.


Projects:

Reducing Energy Consumption in Data Centers

Energy consumption in data centers is skyrocketing. This project develops models and methods based on stochastic control and optimization for reducing energy consumption in data centers to the maximum extent possible without degrading the quality of service experienced by the users. This is done by effectively combining virtualization, dynamic voltage scaling and cluster sizing. Collaborator: L. Ntaimo (Texas A&M).

Efficient Control of Tunnel Freezers

Food products need to be rapidly cooled and frozen using freezer tunnels but with minimal energy wastage. The research considers striking a balance between energy conservation, freezer performance, and quality, given the food products are stochastic in terms of size and thermal loads. Using a stochastic dynamic programming model, total system-wide cost is minimized by controlling cryogen generation optimally. Industrial Partner: Air Liquide.

Energy Conservation in Wireless Sensor Networks

Efficient information sharing in multi-hop wireless networks is needed to optimize energy usage while not compromising performance. The research is a combination of multiple topics: (a) strategies to leverage network coding opportunities; (b) maintenance policies for underwater sensors; (c) techniques based on epidemic spread models for information dissemination. Collaborators: S. Shakottai, A. Sprintson, R. Gibson (all Texas A&M).

Control System for Net-Zero Energy Buildings

Low energy buildings require advanced stochastic controls to optimize energy use, interface and inform the users and operators, and connect to renewable energy systems. This research develops a logic-based control of building systems, where dynamic interaction between a knowledge-based system and stochastic control is utilized for energy and comfort management. Collaborators: A. Aksamija (Perkins+Will), G. Elvin (Ball State U.)


People:

N. Gautam (Associate Professor) website

Young Myoung Ko (Ph.D. Student) website

Ezgi Can Eren (Ph.D. Student) website

Arupa Mohapatra (Ph.D. Student) website

Ronny Polanski (Ph.D. Student) website


Publications:

Please if you need a soft copy.

Rincon-Mateus, C. and Gautam, N., "Efficient Control of an M/M_t/k_t Queue with Application to Energy Management in Data Centers", under revision, 2009.

Rincon-Mateus, C. and Gautam, N., "Adaptive Resource Allocation in Data Centers for Balancing Energy Conservation, Quality of Service and Reliability", under revision, 2009.

Eren, E.C. and Gautam, N., "Energy Conservation in Tunnel Freezers via Stochastic Dynamic Programming", under revision, 2009.

Ko, Y.-M. and Gautam, N., "Epidemic-based Information Dissemination in Wireless Mobile Sensor Networks", under review, 2009.

Chen, Y. and Gautam, N., "Server Frequency Control Using Markov Decision Processes", IEEE INFOCOM, 2009.

Qin, W.B., Wang, Q., Chen, Y. and Gautam, N., "A First-Principles Based LPV Modeling and Design for Performance Management of Internet Web Servers", Proceedings of American Control Conference, 2006.

Chen, Y., Das, A., Qin, W.B., Sivasubramaniam, A., Wang, Q. and Gautam, N., "Managing Server Energy and Operational Costs in Hosting Centers," ACM SIGMETRICS Performance Evaluation Review, Vol. 33, No. 1, 303-314, 2005.

Ramakrishnan, S., Gautam, N., and Wysk, R.A., "Tunnel Freezing Process with Adaptive Control: A Stochastic Modeling Approach," Proceeding of the Industrial Engineering Research Conference, 2002.


Some Relevant Links:

Energy Star Website

Energy Efficiency in DoE

Energy Portal at EPA

Green IT at Uptime Institute

Efficient Computing at Google

The Green Grid Website

Leadership in Energy and Environmental Design (LEED)

Life-Cycle Assessment (LCA/LCM)

Energy Systems Laboratory (ESL)