http://handle.tamu.edu/1969.1/2882 Energy Systems Laboratory Conference Proceedings http://handle.tamu.edu/1969.1/88021 DOE’s Save Energy Now Assessments – Results and Lessons Learned from 450 Assessments Conducted in 2006-2007 Following a successful launch in 2006, the U.S. Department of Energy (DOE) continued to offer Save Energy Now (SEN) assessments to energy-intensive U.S. manufacturers in 2007. Through the Save Energy Now initiative, plants received system-based assessments conducted over a 2-3 day period by DOE’s SEN Energy Experts. DOE sponsored assessments of steam and process heating systems in 200 large plants in 2006 and followed with 250 plants in 2007 by adding assessments of compressed air, pumping and fan systems. As of March 2008 DOE’s Energy Experts have identified opportunities totaling over $732 million in energy cost savings and 6.3 million metric tons of carbon dioxide emissions reduction, approximately equivalent to the emissions of 1.1 million passenger cars. This discussion will cover the identified and implemented savings generated to date by this assessment program. Additional analyses presented will include an examination of savings by type of system and opportunity, and by industry and state. http://handle.tamu.edu/1969.1/88020 CO2 Reduction through Optimization of Steam Network in Petroleum Refineries: Evaluation of New Scenario Steam network of petroleum refinery is energy intensive, and consequently contribute significantly to the greenhouse gases emissions. A simple model for the estimation of CO2 emissions associated with operation of steam network as encountered in refineries is introduced. In conjunction with a shortcut model this model has been used to calculate of the steam network of an existing refinery aiming at minimization total annualized cost with considering emissions. In this paper, the case study is steam network of southern Tehran refinery. Simulation of this case has been performed in STAR software that licensed by energy system laboratory at K.N. Toosi University of Technology. Mathematical linear programming method has been applied to optimization of steam network. In addition, the short cut model of CO2 production has been provided for evaluation of steam network with considering CO2 production taxes and other economic effects in total annualized cost. Meanwhile, in this research, new scenario has been defined and evaluated. Results shows new scenario have 45 % less TAOC rather than base scenario in optimal condition. http://handle.tamu.edu/1969.1/88019 Measured Savings of DC to AC Drive Retrofit in Plastic Extrusion This paper presents the potential electrical energy efficiency improvements for utilizing alternating current (AC) motors controlled by variable frequency drives (VFD) in place of direct current (DC) motors to drive plastic extrusion machines. A brief background on the extrusion process is presented along with typical extrusion machine electrical drive performance requirements. Motor performance characteristics and control strategies are described for both AC and DC machines. A case study is presented, where detailed electrical measurements were performed on two similar extrusion machines driven by a DC motor and an AC motor respectively. Electrical energy, demand, and cost savings are analyzed http://handle.tamu.edu/1969.1/88018 Using a Practical Approach to Energy Management to Get it Done The Wisconsin Focus on Energy program saw a need in 2002 to develop a template for energy management so that companies could easily implement a systematic and continual improvement approach to manage their energy. To meet this need the Focus program developed an approach called Practical Energy Management (PEM) that includes templates and tools for setting goals, establishing a long-term plan, uncovering project opportunities, and tracking progress toward projects and goals. Focus has trained over 900 companies in the PEM approach over the last six years. We have also used the approach to facilitate the energy teams for large industrial companies. This paper will discuss the PEM tool and the lessons learned on how to best use the tool.