The Experts below are selected from a list of 292722 Experts worldwide ranked by ideXlab platform
Mark Horowitz - One of the best experts on this subject based on the ideXlab platform.
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fast non monte carlo estimation of transient Performance Variation due to device mismatch
IEEE Transactions on Circuits and Systems, 2010Co-Authors: Jaeha Kim, Kevin D Jones, Mark HorowitzAbstract:This paper describes an efficient way of simulating the effects of device random mismatch on circuit transient characteristics, such as Variations in delay or in frequency. The proposed method models DC random offsets as equivalent AC pseudo-noises and leverages the fast, linear periodically time-varying (LPTV) noise analysis available from RF circuit simulators. Therefore, the method can be considered as an extension to DCMATCH analysis and offers a large speed-up compared to the traditional Monte Carlo analysis. Although the assumed linear perturbation model is valid only for small Variations, it enables easy ways to estimate correlations among Variations and identify the most sensitive design parameters to mismatch, all at no additional simulation cost. Three benchmarks measuring the Variations in the input offset voltage of a clocked comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of about 100-1000× compared to a 1000-point Monte Carlo method.
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fast non monte carlo estimation of transient Performance Variation due to device mismatch
Design Automation Conference, 2007Co-Authors: Jaeha Kim, Kevin D Jones, Mark HorowitzAbstract:This paper describes a noise-based method of estimating the effects of device random mismatch on circuit's transient response, such as delay and frequency. The proposed method models DC mismatch as equivalent AC pseudo-noise and exploits the fast periodic noise analysis (PNOISE) available in RF circuit simulators to compute the resulting Variation in the circuit response. While the method relies on Gaussian mismatch distributions and linear perturbation model, it can model and analyze correlations as well as identify the most sensitive design parameter to mismatches with no additional simulation cost. Three benchmarks measuring the Variations in the input offset voltage of a comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of 100--1000x compared to a 1000-point Monte-Carlo method.
Jaeha Kim - One of the best experts on this subject based on the ideXlab platform.
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fast non monte carlo estimation of transient Performance Variation due to device mismatch
IEEE Transactions on Circuits and Systems, 2010Co-Authors: Jaeha Kim, Kevin D Jones, Mark HorowitzAbstract:This paper describes an efficient way of simulating the effects of device random mismatch on circuit transient characteristics, such as Variations in delay or in frequency. The proposed method models DC random offsets as equivalent AC pseudo-noises and leverages the fast, linear periodically time-varying (LPTV) noise analysis available from RF circuit simulators. Therefore, the method can be considered as an extension to DCMATCH analysis and offers a large speed-up compared to the traditional Monte Carlo analysis. Although the assumed linear perturbation model is valid only for small Variations, it enables easy ways to estimate correlations among Variations and identify the most sensitive design parameters to mismatch, all at no additional simulation cost. Three benchmarks measuring the Variations in the input offset voltage of a clocked comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of about 100-1000× compared to a 1000-point Monte Carlo method.
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fast non monte carlo estimation of transient Performance Variation due to device mismatch
Design Automation Conference, 2007Co-Authors: Jaeha Kim, Kevin D Jones, Mark HorowitzAbstract:This paper describes a noise-based method of estimating the effects of device random mismatch on circuit's transient response, such as delay and frequency. The proposed method models DC mismatch as equivalent AC pseudo-noise and exploits the fast periodic noise analysis (PNOISE) available in RF circuit simulators to compute the resulting Variation in the circuit response. While the method relies on Gaussian mismatch distributions and linear perturbation model, it can model and analyze correlations as well as identify the most sensitive design parameter to mismatches with no additional simulation cost. Three benchmarks measuring the Variations in the input offset voltage of a comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of 100--1000x compared to a 1000-point Monte-Carlo method.
Süleyman Hakan Sevilgen - One of the best experts on this subject based on the ideXlab platform.
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Renovating thermal power plant to trigeneration system for district heating/cooling: Evaluation of Performance Variation
Applied Thermal Engineering, 2015Co-Authors: Hasan Hüseyin Erdem, Ali Volkan Akkaya, Ahmet Dagdas, Süleyman Hakan Sevilgen, Burhanettin Cetin, Bahri Sahin, Ismail Teke, Cengiz Gungor, Selcuk Atas, Mehmet Zahit BasakAbstract:Abstract This paper presents Performance assessments of thermal power plant-based co/tri-generation systems for district heating/cooling system. The power plants were originally designed exclusively for the generation of electricity. With respect to the renovation of power plants to co/tri-generation systems, the analysis of Performance Variations in the systems has been undertaken. For the purpose of simulation analysis, thermodynamic models of the eight thermal power plants have been developed. The Performance Variations have been evaluated with different Performance criteria, including electrical power output, classical thermal efficiency, coefficient of Performance and comprehensive thermal efficiency. The comprehensive thermal efficiency takes into account all products (electricity, heating and cooling energy) generated from the power plant-based tri-generation system. The results of analysis show that the comprehensive thermal efficiencies of the eight considered systems range from 49% to 61% in the heating mode, although their generated electrical power amounts decrease slightly. As a result, this type of modification for an existing power plant can greatly benefit the cause of energy efficiency and sustainable development.
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case study effect of ambient temperature on the electricity production and fuel consumption of a simple cycle gas turbine in turkey
Applied Thermal Engineering, 2006Co-Authors: Hasan Hüseyin Erdem, Süleyman Hakan SevilgenAbstract:Abstract Efficiency and electric-power output of gas turbines vary according to the ambient conditions. The amount of these Variations greatly affects electricity production, fuel consumption and plant incomes. Since ambient conditions are dependent upon the place where gas turbine is installed, they cannot be changed. At the same time, the amount of Performance Variation with the ambient conditions also depends on the gas turbines design parameters. Therefore, in order to determine the actual Performance Variation with the ambient conditions, gas turbine design parameters and ambient conditions of the installed place should be known. For this purpose, two gas turbine models and seven climate regions of Turkey are considered in this study. For both two models, by using average monthly temperature data of the regions, annual electricity production loss and fuel consumption increase compared to those in standard design conditions (sea level, 15 °C, 60% relative humidity). Electricity production loss is about 2.87–0.71% take place, compared to the standard annual production rate in hot regions. Electricity production loss occurs in all regions during the periods when the temperature is above the 15 °C standard ambient temperature and loss rates vary between 1.67% and 7.22% depending upon the regions. Electricity generation increases for about 0.27–10.28% when inlet air is cooled to 10 °C.
Hasan Hüseyin Erdem - One of the best experts on this subject based on the ideXlab platform.
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Renovating thermal power plant to trigeneration system for district heating/cooling: Evaluation of Performance Variation
Applied Thermal Engineering, 2015Co-Authors: Hasan Hüseyin Erdem, Ali Volkan Akkaya, Ahmet Dagdas, Süleyman Hakan Sevilgen, Burhanettin Cetin, Bahri Sahin, Ismail Teke, Cengiz Gungor, Selcuk Atas, Mehmet Zahit BasakAbstract:Abstract This paper presents Performance assessments of thermal power plant-based co/tri-generation systems for district heating/cooling system. The power plants were originally designed exclusively for the generation of electricity. With respect to the renovation of power plants to co/tri-generation systems, the analysis of Performance Variations in the systems has been undertaken. For the purpose of simulation analysis, thermodynamic models of the eight thermal power plants have been developed. The Performance Variations have been evaluated with different Performance criteria, including electrical power output, classical thermal efficiency, coefficient of Performance and comprehensive thermal efficiency. The comprehensive thermal efficiency takes into account all products (electricity, heating and cooling energy) generated from the power plant-based tri-generation system. The results of analysis show that the comprehensive thermal efficiencies of the eight considered systems range from 49% to 61% in the heating mode, although their generated electrical power amounts decrease slightly. As a result, this type of modification for an existing power plant can greatly benefit the cause of energy efficiency and sustainable development.
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case study effect of ambient temperature on the electricity production and fuel consumption of a simple cycle gas turbine in turkey
Applied Thermal Engineering, 2006Co-Authors: Hasan Hüseyin Erdem, Süleyman Hakan SevilgenAbstract:Abstract Efficiency and electric-power output of gas turbines vary according to the ambient conditions. The amount of these Variations greatly affects electricity production, fuel consumption and plant incomes. Since ambient conditions are dependent upon the place where gas turbine is installed, they cannot be changed. At the same time, the amount of Performance Variation with the ambient conditions also depends on the gas turbines design parameters. Therefore, in order to determine the actual Performance Variation with the ambient conditions, gas turbine design parameters and ambient conditions of the installed place should be known. For this purpose, two gas turbine models and seven climate regions of Turkey are considered in this study. For both two models, by using average monthly temperature data of the regions, annual electricity production loss and fuel consumption increase compared to those in standard design conditions (sea level, 15 °C, 60% relative humidity). Electricity production loss is about 2.87–0.71% take place, compared to the standard annual production rate in hot regions. Electricity production loss occurs in all regions during the periods when the temperature is above the 15 °C standard ambient temperature and loss rates vary between 1.67% and 7.22% depending upon the regions. Electricity generation increases for about 0.27–10.28% when inlet air is cooled to 10 °C.
Kevin D Jones - One of the best experts on this subject based on the ideXlab platform.
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fast non monte carlo estimation of transient Performance Variation due to device mismatch
IEEE Transactions on Circuits and Systems, 2010Co-Authors: Jaeha Kim, Kevin D Jones, Mark HorowitzAbstract:This paper describes an efficient way of simulating the effects of device random mismatch on circuit transient characteristics, such as Variations in delay or in frequency. The proposed method models DC random offsets as equivalent AC pseudo-noises and leverages the fast, linear periodically time-varying (LPTV) noise analysis available from RF circuit simulators. Therefore, the method can be considered as an extension to DCMATCH analysis and offers a large speed-up compared to the traditional Monte Carlo analysis. Although the assumed linear perturbation model is valid only for small Variations, it enables easy ways to estimate correlations among Variations and identify the most sensitive design parameters to mismatch, all at no additional simulation cost. Three benchmarks measuring the Variations in the input offset voltage of a clocked comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of about 100-1000× compared to a 1000-point Monte Carlo method.
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fast non monte carlo estimation of transient Performance Variation due to device mismatch
Design Automation Conference, 2007Co-Authors: Jaeha Kim, Kevin D Jones, Mark HorowitzAbstract:This paper describes a noise-based method of estimating the effects of device random mismatch on circuit's transient response, such as delay and frequency. The proposed method models DC mismatch as equivalent AC pseudo-noise and exploits the fast periodic noise analysis (PNOISE) available in RF circuit simulators to compute the resulting Variation in the circuit response. While the method relies on Gaussian mismatch distributions and linear perturbation model, it can model and analyze correlations as well as identify the most sensitive design parameter to mismatches with no additional simulation cost. Three benchmarks measuring the Variations in the input offset voltage of a comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of 100--1000x compared to a 1000-point Monte-Carlo method.
