IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v26y2022i1p294-308.html
   My bibliography  Save this article

Appending material flows to the National Energy Modeling System (NEMS) for projecting the physical economy of the United States

Author

Listed:
  • Kaixin Huang
  • Matthew J. Eckelman

Abstract

Energy system optimization models (ESOM) simulate energy and emissions changes under different economic and technological scenarios or prospective policy cases. ESOMs and larger integrated assessment models (IAMs) are increasingly being used to project future physical resource demands, but the integration of (non‐energy) physical resource flows or life cycle data into IAMs is far from complete. In this work we demonstrate a method to harness results from the National Energy Modeling System developed by Energy Information Administration (EIA), combined with imputed commodity prices from the UN COMTRADE database, in order to present detailed projections of the physical economy of the United States to 2050. Mass flow results for nine separate scenarios are presented, covering all extraction sectors and manufacturing sectors, with additional disaggregation possible to 4,601 commodities. Results are compared with previous estimates of physical resource flows through the US economy that utilized historical statistics or alternative modeling methods. Overall, the physical resource intensity of the US economy is projected to decrease by an average of 28% per unit of GDP by 2050, suggesting continued decoupling of physical resource use from economic output, but increase by an average of 25% on a per capita basis. These projections have implications for physical resource planning, particularly for materials that have constrained domestic supplies. We also investigate and discuss sources of potential bias and uncertainty in the imputed price estimates and suggest several opportunities to harness the physical resource flow projections for future resource modeling and industrial ecology research. This article met the requirements for a gold‐gold JIE data openness badge described at http://jie.click/badges.

Suggested Citation

  • Kaixin Huang & Matthew J. Eckelman, 2022. "Appending material flows to the National Energy Modeling System (NEMS) for projecting the physical economy of the United States," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 294-308, February.
  • Handle: RePEc:bla:inecol:v:26:y:2022:i:1:p:294-308
    DOI: 10.1111/jiec.13053
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jiec.13053
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jiec.13053?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James West & Heinz Schandl, 2018. "Explanatory Variables for National Socio‐Metabolic Profiles and the Question of Forecasting National Material Flows in a Globalized Economy," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1451-1464, December.
    2. Wen, Zongguo & Chen, Min & Meng, Fanxin, 2015. "Evaluation of energy saving potential in China's cement industry using the Asian-Pacific Integrated Model and the technology promotion policy analysis," Energy Policy, Elsevier, vol. 77(C), pages 227-237.
    3. Zaira Navas-Anguita & Diego García-Gusano & Diego Iribarren, 2018. "Prospective Life Cycle Assessment of the Increased Electricity Demand Associated with the Penetration of Electric Vehicles in Spain," Energies, MDPI, vol. 11(5), pages 1-13, May.
    4. Ajay Gambhir & Isabela Butnar & Pei-Hao Li & Pete Smith & Neil Strachan, 2019. "A Review of Criticisms of Integrated Assessment Models and Proposed Approaches to Address These, through the Lens of BECCS," Energies, MDPI, vol. 12(9), pages 1-21, May.
    5. Sylvia Gierlinger & Fridolin Krausmann, 2012. "The Physical Economy of the United States of America," Journal of Industrial Ecology, Yale University, vol. 16(3), pages 365-377, June.
    6. Wiedenhofer, Dominik & Fishman, Tomer & Lauk, Christian & Haas, Willi & Krausmann, Fridolin, 2019. "Integrating Material Stock Dynamics Into Economy-Wide Material Flow Accounting: Concepts, Modelling, and Global Application for 1900–2050," Ecological Economics, Elsevier, vol. 156(C), pages 121-133.
    7. Konstantin Stadler & Richard Wood & Tatyana Bulavskaya & Carl†Johan Södersten & Moana Simas & Sarah Schmidt & Arkaitz Usubiaga & José Acosta†Fernández & Jeroen Kuenen & Martin Bruckner & Stefan, 2018. "EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi†Regional Input†Output Tables," Journal of Industrial Ecology, Yale University, vol. 22(3), pages 502-515, June.
    8. Wilkerson, Jordan T. & Cullenward, Danny & Davidian, Danielle & Weyant, John P., 2013. "End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors," Energy Economics, Elsevier, vol. 40(C), pages 773-784.
    9. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    10. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    11. Zhou, Sheng & Kyle, G. Page & Yu, Sha & Clarke, Leon E. & Eom, Jiyong & Luckow, Patrick & Chaturvedi, Vaibhav & Zhang, Xiliang & Edmonds, James A., 2013. "Energy use and CO2 emissions of China's industrial sector from a global perspective," Energy Policy, Elsevier, vol. 58(C), pages 284-294.
    12. Kenneth Gillingham and Pei Huang, 2019. "Is Abundant Natural Gas a Bridge to a Low-carbon Future or a Dead-end?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    13. Nogee, Alan & Deyette, Jeff & Clemmer, Steve, 2007. "The Projected Impacts of a National Renewable Portfolio Standard," The Electricity Journal, Elsevier, vol. 20(4), pages 33-47, May.
    14. Ross Morrow, W. & Gallagher, Kelly Sims & Collantes, Gustavo & Lee, Henry, 2010. "Analysis of policies to reduce oil consumption and greenhouse-gas emissions from the US transportation sector," Energy Policy, Elsevier, vol. 38(3), pages 1305-1320, March.
    15. Igos, Elorri & Rugani, Benedetto & Rege, Sameer & Benetto, Enrico & Drouet, Laurent & Zachary, Daniel S., 2015. "Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios," Applied Energy, Elsevier, vol. 145(C), pages 234-245.
    16. Stefan Pauliuk & Richard Wood & Edgar G. Hertwich, 2015. "Dynamic Models of Fixed Capital Stocks and Their Application in Industrial Ecology," Journal of Industrial Ecology, Yale University, vol. 19(1), pages 104-116, February.
    17. Pauliuk, Stefan & Wang, Tao & Müller, Daniel B., 2013. "Steel all over the world: Estimating in-use stocks of iron for 200 countries," Resources, Conservation & Recycling, Elsevier, vol. 71(C), pages 22-30.
    18. Michaja Pehl & Anders Arvesen & Florian Humpenöder & Alexander Popp & Edgar G. Hertwich & Gunnar Luderer, 2017. "Understanding future emissions from low-carbon power systems by integration of life-cycle assessment and integrated energy modelling," Nature Energy, Nature, vol. 2(12), pages 939-945, December.
    19. Stefan Pauliuk & Anders Arvesen & Konstantin Stadler & Edgar G. Hertwich, 2017. "Industrial ecology in integrated assessment models," Nature Climate Change, Nature, vol. 7(1), pages 13-20, January.
    20. Kydes, Andy S., 2007. "Impacts of a renewable portfolio generation standard on US energy markets," Energy Policy, Elsevier, vol. 35(2), pages 809-814, February.
    21. Cullenward, Danny & T. Wilkerson, Jordan & Wara, Michael & Weyant, John P., 2016. "Dynamically estimating the distributional impacts of U.S. climate policy with NEMS: A case study of the Climate Protection Act of 2013," Energy Economics, Elsevier, vol. 55(C), pages 303-318.
    22. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomasz Ząbkowski & Krzysztof Gajowniczek & Grzegorz Matejko & Jacek Brożyna & Grzegorz Mentel & Małgorzata Charytanowicz & Jolanta Jarnicka & Anna Olwert & Weronika Radziszewska & Jörg Verstraete, 2023. "Cluster-Based Approach to Estimate Demand in the Polish Power System Using Commercial Customers’ Data," Energies, MDPI, vol. 16(24), pages 1-21, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kenneth Gillingham & Marten Ovaere & Stephanie Weber, 2021. "Carbon Policy and the Emissions Implications of Electric Vehicles," CESifo Working Paper Series 8974, CESifo.
    2. Brown, Marilyn A. & Li, Yufei & Soni, Anmol, 2020. "Are all jobs created equal? Regional employment impacts of a U.S. carbon tax," Applied Energy, Elsevier, vol. 262(C).
    3. Kermeli, Katerina & Edelenbosch, Oreane Y. & Crijns-Graus, Wina & van Ruijven, Bas J. & van Vuuren, Detlef P. & Worrell, Ernst, 2022. "Improving material projections in Integrated Assessment Models: The use of a stock-based versus a flow-based approach for the iron and steel industry," Energy, Elsevier, vol. 239(PE).
    4. Yoshida, Keisuke & Fishman, Tomer & Okuoka, Keijiro & Tanikawa, Hiroki, 2017. "Material stock's overburden: Automatic spatial detection and estimation of domestic extraction and hidden material flows," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 165-175.
    5. Le Boulzec, Hugo & Delannoy, Louis & Andrieu, Baptiste & Verzier, François & Vidal, Olivier & Mathy, Sandrine, 2022. "Dynamic modeling of global fossil fuel infrastructure and materials needs: Overcoming a lack of available data," Applied Energy, Elsevier, vol. 326(C).
    6. Vivien Fisch-Romito, 2021. "Embodied carbon dioxide emissions to provide high access levels to basic infrastructure around the world," Post-Print hal-03353919, HAL.
    7. Cullenward, Danny & T. Wilkerson, Jordan & Wara, Michael & Weyant, John P., 2016. "Dynamically estimating the distributional impacts of U.S. climate policy with NEMS: A case study of the Climate Protection Act of 2013," Energy Economics, Elsevier, vol. 55(C), pages 303-318.
    8. Vipin Arora & David Daniels & Ian Mead & Russell Tarver, 2018. "Emf32 Results From Nems: Revenue Recycling," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-14, February.
    9. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
    10. Nathalie Spittler & Ganna Gladkykh & Arnaud Diemer & Brynhildur Davidsdottir, 2019. "Understanding the Current Energy Paradigm and Energy System Models for More Sustainable Energy System Development," Post-Print hal-02127724, HAL.
    11. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    12. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    13. Marco Bianchi & Carlos Tapia & Ikerne del Valle, 2020. "Monitoring domestic material consumption at lower territorial levels: A novel data downscaling method," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1074-1087, October.
    14. Paul Wolfram & Stephanie Weber & Kenneth Gillingham & Edgar G. Hertwich, 2021. "Pricing indirect emissions accelerates low—carbon transition of US light vehicle sector," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    15. Nikas, A. & Gambhir, A. & Trutnevyte, E. & Koasidis, K. & Lund, H. & Thellufsen, J.Z. & Mayer, D. & Zachmann, G. & Miguel, L.J. & Ferreras-Alonso, N. & Sognnaes, I. & Peters, G.P. & Colombo, E. & Howe, 2021. "Perspective of comprehensive and comprehensible multi-model energy and climate science in Europe," Energy, Elsevier, vol. 215(PA).
    16. Larisa Vazhenina & Elena Magaril & Igor Mayburov, 2022. "Resource Conservation as the Main Factor in Increasing the Resource Efficiency of Russian Gas Companies," Resources, MDPI, vol. 11(12), pages 1-14, December.
    17. Mathieu, Valentin & Roda, Jean-Marc, 2023. "A meta-analysis on wood trade flow modeling concepts," Forest Policy and Economics, Elsevier, vol. 149(C).
    18. Nayeah Kim & Yun Seop Hwang & Mun Ho Hwang, 2019. "New projection of GHG reduction potentials for Korea’s cement industry and comparison with Roadmap 2030," Energy & Environment, , vol. 30(3), pages 499-521, May.
    19. Tobias Junne & Sonja Simon & Jens Buchgeister & Maximilian Saiger & Manuel Baumann & Martina Haase & Christina Wulf & Tobias Naegler, 2020. "Environmental Sustainability Assessment of Multi-Sectoral Energy Transformation Pathways: Methodological Approach and Case Study for Germany," Sustainability, MDPI, vol. 12(19), pages 1-28, October.
    20. Vita, Gibran & Lundström, Johan R. & Hertwich, Edgar G. & Quist, Jaco & Ivanova, Diana & Stadler, Konstantin & Wood, Richard, 2019. "The Environmental Impact of Green Consumption and Sufficiency Lifestyles Scenarios in Europe: Connecting Local Sustainability Visions to Global Consequences," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:inecol:v:26:y:2022:i:1:p:294-308. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.