Developing a Multi-Regional Physical Supply Use Table framework to improve the accuracy and reliability of energy analysis

Aramendia, Emmanuel; Heun, Matthew Kuperus; Brockway, Paul E.; Taylor, Peter

doi:10.1016/j.apenergy.2021.118413

Cited by 12 publications

(4 citation statements)

References 51 publications

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“…The vectors of total output by industry g and of total output by product q stem directly from this set of matrices and are defined, respectively, as the sum across industries of the V matrix and of the sum across energy products of the R and V matrices. Previous work by Heun et al 23 and Aramendia et al 24 provides further clarification on the PSUT structure and on subsequent calculations.…”

Section: Calculation Of Fossil Fuelsʼ Final-stage Eroismentioning

confidence: 70%

“…From the International Energy Agency's (IEA) Extended World Energy Balances (EWEB), we construct a Physical Supply Use Table (PSUT) framework 23 (for calculations at the global level) and a Multi-Regional Physical Supply Use Table (MR-PSUT) framework 24 (for calculations at the regional level). Such frameworks represent the Energy Conversion Chain in terms of physical energy flows, from the primary extraction of energy resources to the delivery of final energy carriers to end-use sectors.…”

Section: Calculation Of Fossil Fuelsʼ Final-stage Eroismentioning

confidence: 99%

“…We expand this work in two main directions. First, by using a recently developed Multi-Regional Physical Supply Use Table (MR-PSUT) framework 23,24 and applying it to the IEA's EWEB, we are able to determine fossil fuel final-stage EROIs over the time period 1971-2020 for a wide range of energy products, at the global and national levels. Second, using a recently developed country-level primary-final-useful energy and exergy database 25 enables us to determine the average final-to-useful efficiencies for each energy product, both at the economy-wide and end-use (for example, low-temperature heating, mechanical drive and so on) levels.…”

mentioning

confidence: 99%

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Estimation of useful-stage energy returns on investment for fossil fuels and implications for renewable energy systems

Aramendia,

Brockway,

Taylor

et al. 2024

Nat Energy

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The net energy implications of the energy transition have so far been analysed at best at the final energy stage. Here we argue that expanding the analysis to the useful stage is crucial. We estimate fossil fuelsʼ useful-stage energy returns on investment (EROIs) over the period 1971–2020, globally and nationally, and disaggregate EROIs by end use. We find that fossil fuelsʼ useful-stage EROIs (~3.5:1) are considerably lower than at the final stage (~8.5:1), due to low final-to-useful efficiencies. Further, we estimate the final-stage EROI for which electricity-yielding renewable energy would deliver the same net useful energy as fossil fuels (EROI equivalent) to be approximately 4.6:1. The EROIs of electricity-yielding renewable energy systems, based on published estimations, are found to be higher than the determined EROI equivalent, even considering the effects of intermittency under a range of energy transition scenarios. Results suggest that the energy transition may happen without a decline in net useful energy, countering the view that renewable energy systems cannot replace fossil fuels without incurring a substantial energy penalty.

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Section: Calculation Of Fossil Fuelsʼ Final-stage Eroismentioning

confidence: 70%

Section: Calculation Of Fossil Fuelsʼ Final-stage Eroismentioning

confidence: 99%

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confidence: 99%

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Estimation of useful-stage energy returns on investment for fossil fuels and implications for renewable energy systems

Aramendia,

Brockway,

Taylor

et al. 2024

Nat Energy

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“…The most important design decision for the suite of R packages involved data format. We authors are among those who developed the Physical Supply-Use Table (PSUT) framework (Aramendia et al, 2022;Guevara & Domingos, 2017;Heun et al, 2018;Rocco, 2016), an adaptation of economic Input-Output (IO) analysis (Miller & Blair, 2009) to describe energy flows through society. The Physical Supply-Use Table (PSUT) framework is a matrix-based approach that tracks energy flows ("products" in PSUT terminology) from resource extraction to processing stages ("industries" in PSUT terminology) and, ultimately, to final demand in a way that is compatible with the IEA's EWEB data (International Energy Agency, 2023).…”

Section: Design Of R Packagesmentioning

confidence: 99%

CLPFUDatabase: A suite of R packages for energy conversion chain analysis

Heun,

Marshall,

Aramendia

2024

JOSS

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Energy flowing through societal energy conversion chains (ECCs) enables economic activity and facilitates human flourishing. To understand economic growth and human well-being, the field of societal energy analysis (Common, 1976) evaluates ECCs from the primary stage (resources extracted from the environment, such as coal, oil, natural gas, wind, and solar), to the final stage (energy purchased by consumers, such as refined petroleum and electricity), to the useful stage (energy desired by the end user, such as heat, motion, and light), and sometimes to energy services (such as thermal comfort, transport, and illumination). Societal exergy analysis (SEA) (Ertesvåg, 2001), an extension of societal energy analysis, quantifies ECCs in exergy terms 1 .We created a suite of open-source R packages and the metapackage CLPFUDatabase (Heun, 2023a) to assist SEA practitioners to analyze ECCs. The new packages enable analysis of any country in the world across timespans of decades or longer. In short, the new packages enable, for the first time, scalable SEA. We used the new packages to create the CL-PFU database 2 , a new resource for the SEA community (Brockway et al., 2024). This paper describes the design of the new packages and demonstrates briefly their use.

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Incorporating scarcity into footprints reveals diverse supply chain hotspots for global fossil fuel management

et al. 2023

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Developing a Multi-Regional Physical Supply Use Table framework to improve the accuracy and reliability of energy analysis

Cited by 12 publications

References 51 publications

Estimation of useful-stage energy returns on investment for fossil fuels and implications for renewable energy systems

Estimation of useful-stage energy returns on investment for fossil fuels and implications for renewable energy systems

CLPFUDatabase: A suite of R packages for energy conversion chain analysis

Incorporating scarcity into footprints reveals diverse supply chain hotspots for global fossil fuel management

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