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Publications of Gale A. Boyd    :chronological  alphabetical  combined  bibtex listing:

Papers Published

  1. G.A. Boyd and Walt Tunnessen, Plant Energy Benchmarking: A Ten Year Retrospective of the ENERGY STAR Energy Performance Indicators (ES-EPI), Proc. ACEEE Summer Study on Energy Efficiency in Industry (July, 2013)
  2. G.A. Boyd, A Statistical Approach to Plant-Level Energy Benchmarks and Baselines: The Energy Star Manufacturing-Plant Energy Performance Indicator, in Proc: Carbon Management Technology Conference, vol. 1 no. 150574 (February 7, 2012), pp. 1-14, Orlando, Florida, USA  [abs]

Papers Submitted

  1. G.A. Boyd and Mark Curtis, Evidence of an “Energy-Management Gap” in U.S. Manufacturing: Spillovers from Firm Management Practices to Energy Efficiency, Journal of Economics and Environmental Management (May, 2014)  [abs]
  2. Schneck, Joshua, and Gale Boyd, Distribution of Emissions Permits to the U.S. Pulp and Paper Sector under Alternative Output-Based Allocation Schemes, Jornal of Environmental Management (December, 2012) (Nicholas Institute for Environmental Policy Solutions Report NI R 11-10, Duke University Durham, NC.) [distribution-of-emissions-permits-to-the-u.s.-pulp-and-paper-sector]  [abs]

Book Reviews

  1. G.A. Boyd, Emergence and Survival of New Businesses, Journal of Economic Literature (September, 2008)

Journal Articles

  1. Dalzell, NM; Boyd, GA; Reiter, JP, Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program, Energy Policy, vol. 111 (December, 2017), pp. 95-101, Elsevier BV [doi]  [abs]
  2. Boyd, GA, Comparing the statistical distributions of energy efficiency in manufacturing: meta-analysis of 24 Case studies to develop industry-specific energy performance indicators (EPI), Energy Efficiency, vol. 10 no. 1 (February, 2017), pp. 217-238, Springer Nature [doi]  [abs]
  3. Boyd, G; Doolin, M; Dutrow, E; Zhang, S, A new benchmark of energy performance for energy management in U.S. and Canadian integrated steel plants, AIS Tech Conference Proceedings, vol. 3 (January, 2016), pp. 2835-2848, Association for Iron & Steel Technology  [abs]
  4. Boyd, GA, Estimating the changes in the distribution of energy efficiency in the U.S. automobile assembly industry, Energy Economics, vol. 42 (2014), pp. 81-87, Elsevier BV, ISSN 0140-9883 [doi]  [abs]
  5. Boyd, GA; Curtis, EM, Evidence of an "Energy-Management Gap" in U.S. manufacturing: Spillovers from firm management practices to energy efficiency, Journal of Environmental Economics and Management, vol. 68 no. 3 (January, 2014), pp. 463-479, Elsevier BV, ISSN 0095-0696 [doi]  [abs]
  6. Boyd, G; Guo, Y, Energy performance indicator for integrated mills, Paper360, vol. 9 no. 2 (March, 2014), pp. 26-29, ISSN 1933-3684  [abs]
  7. Boyd, G; Zhang, G, Measuring improvement in energy efficiency of the US cement industry with the ENERGY STAR Energy Performance Indicator, Energy Efficiency, vol. 6 no. 1 (January, 2013), pp. 105-116, Springer Nature, ISSN 1570-646X [doi]  [abs]
  8. Dutrow, E; Tunnessen, W; Boyd, G, Measuring and encouraging energy efficiency, Glass International, vol. 35 no. 9 (October, 2012), pp. 15-16, ISSN 0143-7836  [abs]
  9. Boyd, G, A statistical approach to plant-level energy benchmarks and baselines: A manufacturing-plant energy performance indicator, Society of Petroleum Engineers Carbon Management Technology Conference 2012, vol. 1 (May, 2012), pp. 150-163  [abs]
  10. Boyd, G. and G. Zhang, Measuring improvement in energy efficiency of the US cement industry with the ENERGY STAR Energy Performance Indicator, Energy Efficiency (May, 2012), pp. 1-12 [s12053-012-9160-z#]  [abs]
  11. Dutrow, E; Boyd, G; Worrell, E; Dodendorf, L, Shifting energy performance in U.S. cement production, Ieee Cement Industry Technical Conference (Paper) (June, 2010), IEEE, ISSN 0731-4906 [doi]  [abs]
  12. Dutrow, E; Boyd, G; Worrell, E; Dodendorf, L, Engaging the U.S. Cement Industry to Improve Energy Performance, Cement World (December, 2009)
  13. Boyd, G, Benchmarking weather sensitive plant level manufacturing energy use, International Journal of Global Energy Issues, vol. 32 no. 1-2 (August, 2009), pp. 4-18, ISSN 0954-7118  [abs]
  14. Boyd, GA, Benchmarking Weather Sensitive Plant Level Manufacturing Energy Use, Int. J. Global Energy Issues, vol. 32 no. 1/2 (Spring, 2009), pp. 4-18, ISSN 0954-7118  [abs]
  15. Boyd, G; Dutrow, E; Tunnessen, W, The evolution of the ENERGY STAR® energy performance indicator for benchmarking industrial plant manufacturing energy use, Journal of Cleaner Production, vol. 16 no. 6 (April, 2008), pp. 709-715, Elsevier BV, ISSN 0959-6526 [doi]  [abs]
  16. Boyd, G; Dutrow, E; Tunnesen, W, The Evolution of the Energy Star Industrial Energy Performance Indicator for Benchmarking Plant Level Manufacturing Energy Use, Journal of Cleaner Production, Invited paper for the special issue Pollution Prevention and Cleaner Production in the United States of America, vol. 16 no. 6 (April, 2008), pp. 709-715, ISSN 0959-6526 [doi]
  17. Boyd, GA, Estimating plant level energy efficiency with a stochastic frontier, The Energy Journal, vol. 29 no. 2 (January, 2008), pp. 23-43, International Association for Energy Economics (IAEE), ISSN 0195-6574 [doi]  [abs]
  18. Boyd, GA, Estimating Plant Level Manufacturing Energy Efficiency with Stochastic Frontier Regression, The Energy Journal, vol. 29 no. 2 (2008), pp. 23-44 [repository]
  19. Tunnessen, W; Boyd, GA; Weed, G, ENERGY STAR industrial focus for pulp and paper mills PPIC 2007 panel, Ieee Conference Record of Annual Pulp and Paper Industry Technical Conference (December, 2007), pp. 209-219, IEEE, ISSN 0190-2172 [doi]  [abs]
  20. Gale Boyd, coeditor with Lorna Greening and Joe Roop, Modeling Industrial Energy Consumption, Special Issue of Energy Economics, vol. 29 no. 4 (July, 2007)
  21. Greening, LA; Boyd, G; Roop, JM, Modeling of industrial energy consumption: An introduction and context, Energy Economics, vol. 29 no. 4 (July, 2007), pp. 599-608, Elsevier BV, ISSN 0140-9883 [doi]  [abs]
  22. Boyd, GA, Motivating auto manufacturing energy efficiency through performance-based indicators, Sae Technical Papers (December, 2006), SAE International [doi]  [abs]
  23. Dutrow, E; Boyd, GA, Motivating industrial energy efficiency through performance-based indicators, Proceedings Aceee Summer Study on Energy Efficiency in Industry (December, 2005), pp. 1-46-1-55  [abs]
  24. Boyd, GA, Measuring plant level energy efficiency when production activities are not homogeneous: The ENERGY STAR energy performance indicator, Proceedings Aceee Summer Study on Energy Efficiency in Industry (December, 2005), pp. 6-24-6-35  [abs]
  25. Conzelmann, G; Boyd, G; Koritarov, V; Veselka, T, Multi-agent power market simulation using EMCAS, 2005 Ieee Power Engineering Society General Meeting, vol. 3 (October, 2005), pp. 2829-2834  [abs]
  26. Boyd, GA, A method for measuring the efficiency gap between average and best practice energy use: The ENERGY STAR industrial energy performance indicator, Journal of Industrial Ecology, vol. 9 no. 3 (June, 2005), pp. 51-65, WILEY, ISSN 1088-1980 [doi]  [abs]
  27. G.A. Boyd, A Statistical Model for Measuring the Efficiency Gap between Average and Best Practice Energy Use: The ENERGY STAR™ Industrial Energy Performance Indicator, in 9, Journal of Industrial Ecology, vol. 3 (2005)
  28. Worrell, E; Ramesohl, S; Boyd, G, Advances in energy forecasting models based on engineering economics, Annual Review of Environment and Resources, vol. 29 no. 1 (2004), pp. 345-381, ANNUAL REVIEWS [doi]  [abs]
  29. Boyd, GA; Roop, JM, A note on the fisher ideal index decomposition for structural change in energy intensity, The Energy Journal, vol. 25 no. 1 (2004), pp. 87-101, International Association for Energy Economics (IAEE) [doi]  [abs]
  30. Boyd, G.A., and J.M. Roop, A Note on the Fisher Ideal Index Decomposition for Structural Change in Energy Intensity, The Energy Journal, vol. 25 no. 1 (2004), pp. 87-101
  31. Boyd, GA; Tolley, G; Pang, J, Plant level productivity, efficiency, and environmental performance of the container glass industry, Environmental and Resource Economics, vol. 23 no. 1 (2002), pp. 29-43 [doi]  [abs]
  32. Boyd, GA; Molburg, JC; Cavallo, JD, Estimates of Learning by Doing in Gas Turbine Electric Power Systems, Energy Studies Review, vol. 10 no. 2 (2002), pp. 85-99
  33. Boyd, G, A probit model of energy efficiency technology decision making, Proceedings Aceee Summer Study on Energy Efficiency in Industry, vol. 1 (December, 2001), pp. 521-533  [abs]
  34. Sanstad, AH; DeCanio, SJ; Boyd, GA; Koomey, JG, Estimating bounds on the economy-wide effects of the CEF policy scenarios, Energy Policy, vol. 29 no. 14 (2001), pp. 1299-1311, Elsevier BV [doi]  [abs]
  35. Dowd, J; Friedman, K; Boyd, GA, How well do voluntary agreements and programs perform at improving industrial energy efficiency?, Proceedings Aceee Summer Study on Energy Efficiency in Industry, vol. 2 (January, 2001), pp. 125-139  [abs]
  36. Boyd, GA; Pang, JX, Estimating the linkage between energy efficiency and productivity, Energy Policy, vol. 28 no. 5 (2000), pp. 289-296, Elsevier BV [doi]  [abs]
  37. Boyd, GA; McClelland, JD, The impact of environmental constraints on productivity improvement in integrated paper plants, Journal of Environmental Economics and Management, vol. 38 no. 2 (1999), pp. 121-142, Elsevier BV [doi]  [abs]
  38. Woodruff, MG; Boyd, GA; Poop, JM, Potential for industrial energy efficiency technology to reduce U.S. greenhouse gas emissions, Proceedings Aceee Summer Study on Energy Efficiency in Industry (December, 1997), pp. 361-372  [abs]
  39. Boyd, GA; Roop, JM; Woodruff, MG, Potential for energy efficient technologies to reduce carbon emissions in the United States: the industrial sector, Proceedings of the Intersociety Energy Conversion Engineering Conference, vol. 3-4 (December, 1997), pp. 2126-2131  [abs]
  40. Boyd, GA, Impacts of industrial decision making on productivity and energy efficiency: examples from the integrated paper sector, Proceedings of the Intersociety Energy Conversion Engineering Conference, vol. 3-4 (December, 1997), pp. 2132-2137  [abs]
  41. Boyd, G; Karlson, S, The Impact of Energy Prices on Technology Choice in the United States Steel Industry, Energy Journal, vol. 14 no. 2 (1993), pp. 47-56
  42. Boyd, G; Karlson, S; Neifer, M; Ross, M, Energy Intensity Improvements in Steel Minimills, Contemporary Policy Issues, vol. XI no. 3 (1993), pp. 88-99, WILEY [doi]  [abs]
  43. Streets, DG; Bloyd, CN; Boyd, GA; Santini, DJ; Veselka, TD, Climate change and US energy policy, Energy, vol. 16 no. 11-12 (January, 1991), pp. 1437-1466, Elsevier BV, ISSN 0360-5442 [doi]  [abs]
  44. Boyd, G; Fox, J; Hanson, D, An integrated acid precipitation policy and energy market model, Proceedings of the Intersociety Energy Conversion Engineering Conference, vol. 4 (December, 1990), pp. 450-455  [abs]
  45. Boyd, G; Fox, J; Hanson, D, 3.4. Set of models, Energy, vol. 15 no. 3-4 (January, 1990), pp. 345-362, Elsevier BV, ISSN 0360-5442 [doi]  [abs]
  46. Boyd, GA; Hanson, DA; Sterner, T, Decomposition of changes in energy intensity. A comparison of the Divisia index and other methods, Energy Economics, vol. 10 no. 4 (1988), pp. 309-312, Elsevier BV [doi]  [abs]
  47. Boyd, GA, Factor intensity and site geology as determinants of returns to scale in coal mining., Review of Economics &Amp; Statistics, vol. 69 no. 1 (1987), pp. 18-23, JSTOR [repository], [doi]  [abs]
  48. Boyd, G; McDonald, JF; Ross, M; Hanson, DA, Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach, The Energy Journal, vol. 8 no. 2 (1987), pp. 77-96

Chapters in Books

  1. Boyd, G, A statistical approach to plant-level energy benchmarks and baselines: A manufacturing-plant energy performance indicator, Carbon Management Technology Conference 2012 (January, 2012), pp. 799-806, ISBN 9781510815940

Working Papers

  1. Gale Boyd and Charles McClure, Waste, Water, and VOC Benchmarking in North American Automotive Manufacturing (Winter, 2012)
  2. Gale A. Boyd and Gang Zhang, Measuring Improvement in the Energy Performance of the U.S. Cement Industry (November, 2011) (Nicholas Institute for Environmental Policy Solutions Report NI R 11-10, Duke University Durham, NC.) [available here]  [abs]
  3. Gale Boyd, Tatyana Kuzmenko, Béla Személy, & Gang Zhang, Preliminary Analysis Of The Distributions Of Carbon And Energy Intensity For 27 Energy Intensive Trade Exposed Industrial Sectors (April, 2011) (Nicholas Institute for Environmental Policy Solutions: Duke Environmental Economics Working Paper Series: EE 11-03.) [paper]  [abs]
  4. G.A. Boyd, Assessing Improvement in the Energy Efficiency of U.S. Auto Assembly Plants (June, 2010) (Nicholas Institute for Environmental Policy Solutions: Duke Environmental Economics Working Paper Series: EE 10-01.)

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