A numerical evaluation of damages caused by asynchronous motors to the environment

In recent years a slow but progressive increase in the world's temperatures has been consistently recorded. To oppose this global warming trend, two especially important actions are the monitoring and reduction of greenhouse emissions, in large quantity caused by global electric energy production. To this regard an algorithm is proposed to estimate the particles released into the atmosphere as a consequence of the electric energy produced for the operation of asynchronous motors, which in industrialized countries absorb as much as 60% of the total electric energy generated. The described procedure can also help to evaluate the possibility to supply motors with electric energy produced from renewable sources instead of from thermal power plants supplying traditional public networks, which would of course reduce the environmental impact of motors to almost zero. Emissions linked to electric energy generation were evaluated on the basis of statistics collected from the main electric utilities. The proposed algorithm was validated by means of laboratory tests performed on a single asynchronous motor working under different operating conditions.

[1]  Frede Blaabjerg,et al.  On the energy optimized control of standard and high-efficiency induction motors in CT and HVAC applications , 1997 .

[2]  T.G. Habetler,et al.  Error Analysis of Motor-Efficiency Estimation and Measurement , 2007, 2007 IEEE Power Electronics Specialists Conference.

[3]  Francesco Muzi,et al.  A real-time monitoring and diagnostic procedure for electrical distribution networks , 2007 .

[4]  Thomas A. Lipo,et al.  Rotor design optimization of synchronous reluctance machine , 1994 .

[5]  C. Chat-uthai,et al.  Energy Management Program for Use of Induction Motors Based on Efficiency Prediction , 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

[6]  F. Muzi A filtering procedure based on least squares and Kalman algorithm for parameter estimate in distance protection , 2007 .

[7]  Gregg Marland,et al.  Estimates of global, regional, and national annual CO{sub 2} emissions from fossil-fuel burning, hydraulic cement production, and gas flaring: 1950--1992 , 1995 .

[8]  S. Kartha,et al.  Practical Baseline Recommendations for Greenhouse Gas Mitigation Projects in the Electric Power Sector OECD and IEA Information Paper , 2003 .

[9]  W.R. Finley,et al.  Advantages of using High Efficiency Motors Such as NEMA Premium® Around the World , 2007, 2007 IEEE Petroleum and Chemical Industry Technical Conference.

[10]  Francesco Muzi A diagnostic method for microgrids and distributed generation based on the parameter state estimate , 2007 .

[11]  Francesco Muzi,et al.  Diagnostics of electric power components: An improvement on signal discrimination , 2005 .

[12]  Y. El-Ibiary An accurate low cost method for determining electric motors' efficiency for the purpose of plant energy management , 2002, Record of Conference Papers. Industry Applications Society. Forty-Ninth Annual Conference. 2002 Petroleum and Chemical Industry Technical Conference.