Energy-consumption and carbon-emission analysis of vehicle and component manufacturing.

Sullivan, J. L.; Burnham, Andrew; Wang, M.

doi:10.2172/993394

Cited by 65 publications

(48 citation statements)

References 12 publications

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“…The next example is an automotive factory with 34 MW of consumption [28] installed in node 1. Energy consumption depends on the number of production lines and new vehicle releases.…”

Section: Methodsmentioning

confidence: 99%

Nodal user’s demand response based on incentive based programs

González-Cabrera

Gutiérrez-Alcaraz

2017

J. Mod. Power Syst. Clean Energy

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This paper describes a practical approach to identify nodal price compensation payment for nodal consumers willing to reduce their energy consumption (consumers' demand response). The implementation of a nodal reliability service pricing is based on contingency assessment of N -2 order for transmission lines. A representative annualized demand curve is used to reflect the system's operation condition by seasons. Such curve is used to access the nodal reliability impact trough a whole year in order to determine back-payments (incentive payment) to users for service interruption. The IEEE_RTS 24 nodes system is used to implement the proposed approach.

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“…The next example is an automotive factory with 34 MW of consumption [28] installed in node 1. Energy consumption depends on the number of production lines and new vehicle releases.…”

Section: Methodsmentioning

confidence: 99%

Nodal user’s demand response based on incentive based programs

González-Cabrera

Gutiérrez-Alcaraz

2017

J. Mod. Power Syst. Clean Energy

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“…Yet its largest US assembly plant is located in Georgetown, Kentucky. On the basis of the electricity required to assemble a typical car (around 1,500 kilowatt hours) 9 , I estimate that producing 550,000 vehicles there in 2014 could have released emissions of around 735,000 tonnes of CO 2 e. That is equal to the total annual emissions of a US city with a population of 40,000.…”

Section: Clean Winsmentioning

confidence: 99%

Boycott products from states with dirty energy

Kennedy¹

2017

Nature

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“…The participating plants were plants having only body welding, assembly and painting operations. Sullivan et al [11] discussed calculating the environmental burdens of the part manufacturing and vehicle assembly stage of the vehicle life cycle. Their approach is bottom-up, with a particular focus on energy consumption and CO2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches

Park

Hildreth

2014

Energies

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Abstract:The car manufacturing industry, one of the largest energy consuming industries, has been making a considerable effort to improve its energy intensity by implementing energy efficiency programs, in many cases supported by government research or financial programs. While many car manufacturers claim that they have made substantial progress in energy efficiency improvement over the past years through their energy efficiency programs, the objective measurement of energy efficiency improvement has not been studied due to the lack of suitable quantitative methods. This paper proposes stochastic and deterministic frontier benchmarking models such as the stochastic frontier analysis (SFA) model and the data envelopment analysis (DEA) model to measure the effectiveness of energy saving initiatives in terms of the technical improvement of energy efficiency for the automotive industry, particularly vehicle assembly plants. Illustrative examples of the application of the proposed models are presented and demonstrate the overall benchmarking process to determine best practice frontier lines and to measure technical improvement based on the magnitude of frontier line shifts over time. Log likelihood ratio and Spearman rank-order correlation coefficient tests are conducted to determine the significance of the SFA model and its consistency with the DEA model. ENERGY STAR ® EPI (Energy Performance Index) are also calculated. OPEN ACCESSEnergies 2014, 7 6197

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Energy-consumption and carbon-emission analysis of vehicle and component manufacturing.

Cited by 65 publications

References 12 publications

Nodal user’s demand response based on incentive based programs

Nodal user’s demand response based on incentive based programs

Boycott products from states with dirty energy

Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches

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