Research Data Leeds Repository
Items where Subject is "H000 - Engineering > H200 - Civil engineering > H220 - Environmental engineering > H221 - Energy resources"
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- Joint Academic Coding System (JACS) (1386)
- H000 - Engineering (351)
- H200 - Civil engineering (63)
- H220 - Environmental engineering (35)
- H221 - Energy resources (30)
- H220 - Environmental engineering (35)
- H200 - Civil engineering (63)
- H000 - Engineering (351)
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Aramendia, Emmanuel (2023) Dataset associated with "Exploring the useful energy implications of the global energy transition: a net energy perspective". University of Leeds. [Dataset] https://doi.org/10.5518/1322
Aramendia, Emmanuel, Brockway, Paul E., Pizzol, Massimo and Heun, Matthew (2020) Data associated with the Applied Energy article 'Moving from final to useful stage in energy-economy analysis: a critical assessment'. University of Leeds. [Dataset] https://doi.org/10.5518/931
Aramendia, Emmanuel, Brockway, Paul E., Taylor, Peter G. and Norman, Jonathan B. (2023) Dataset associated with "Global energy consumption of the mineral mining industry: exploring the historical perspective and future pathways to 2060". University of Leeds. [Dataset] https://doi.org/10.5518/1420
Aramendia, Emmanuel, Brockway, Paul E., Taylor, Peter G. and Norman, Jonathan B. (2024) Dataset associated with the paper "Exploring the effects of mineral depletion on renewable energy technologies net energy returns". University of Leeds. [Dataset] https://doi.org/10.5518/1469
Aramendia, Emmanuel, Heun, Matthew, Brockway, Paul E. and Taylor, Peter G. (2022) Dataset associated with "Developing a Multi-Regional Physical Supply Use Table framework to improve the accuracy and reliability of energy analysis". University of Leeds. [Dataset] https://doi.org/10.5518/1091
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Bale, Catherine, Barns, David and Turner, Josh (2022) Supplementary material: Shared ground heat exchange for the decarbonisation of heat. University of Leeds. [Dataset] https://doi.org/10.5518/1137
Borbolla-Gaxiola, Jaime E., Ross, Andrew B. and Dupont, Valerie (2022) Dataset associated with "Multi-variate and multi-response analysis of hydrothermal carbonization of food waste: hydrochar composition and solid fuel characteristics". University of Leeds. [Dataset] https://doi.org/10.5518/1187
Brand-Correa, Lina I. and Owen, Anne (2017) Data associated with 'Developing an Input-Output Based Method to Estimate a National-Level Energy Return on Investment (EROI)'. University of Leeds. [Dataset] https://doi.org/10.5518/185
Brockway, Paul E. (2015) China useful work and exergy analysis data: 1971-2030. University of Leeds. [Dataset] https://doi.org/10.5518/7
Brockway, Paul E. and Heun, Matthew (2017) Data associated with ‘Energy rebound as a potential threat to a low-carbon future: Findings from a new exergy-based national-level rebound approach’. University of Leeds. [Dataset] https://doi.org/10.5518/137
Brockway, Paul E., Heun, Matthew and Semieniuk, Gregor (2025) Calculation data sheets for the rebound case study examples used in The Energy Journal article:Energetic and economic aspects of rebound, Part II: Applications of the framework. University of Leeds. [Dataset] https://doi.org/10.5518/1634
Brockway, Paul E., Heun, Matthew and Semieniuk, Gregor (2022) Calculation data sheets for the rebound case study examples used in the journal working paper "Advancing the necessary foundations for empirical energy rebound estimates: A partial equilibrium analysis framework". University of Leeds. [Dataset] https://doi.org/10.5518/1201
Brockway, Paul E., Marshall, Zeke, Heun, Matthew, Aramendia, Emmanuel and Steenwyk, Paul (2024) Dataset associated with the paper: A Country-Level Primary-Final-Useful (CL-PFU) Energy and Exergy Database: Overview of its construction and 1971–2020 world-level efficiency results. University of Leeds. [Dataset] https://doi.org/10.5518/1536
Brockway, Paul E., Owen, Anne, Brand-Correa, Lina I. and Hardt, Lukas (2019) Datasets for Nature Energy journal article 'Estimation of global final stage energy-return-on-investment for fossil fuels with comparison to renewable energy sources'. University of Leeds. [Dataset] https://doi.org/10.5518/598
Brockway, Paul E., Semieniuk, Gregor and Aramendia, Emmanuel (2021) Datasets for Energy efficiency and economy-wide rebound effects: a review of the evidence and its implications. University of Leeds. [Dataset]. University of Leeds. [Dataset] https://doi.org/10.5518/956
Brown, Aaron E., Hammerton, James M., Camargo-Valero, Miller and Ross, Andrew B. (2022) Integration of Hydrothermal Carbonisation and Anaerobic Digestion for the Energy Valorisation of Grass - Supporting Data. University of Leeds. [Dataset] https://doi.org/10.5518/1154
Büchs, Milena and Ivanova, Diana (2023) Matlab code: Exiobase data extraction; Stata code: equitable energy demand reduction analysis. University of Leeds. [Dataset] https://doi.org/10.5518/1352
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Heun, Matthew and Brockway, Paul E. (2019) Empirical datasets for Applied Energy journal article "Meeting 2030 primary energy and economic growth goals: Mission impossible?". University of Leeds. [Dataset] https://doi.org/10.5518/559
Heun, Matthew, Owen, Anne and Brockway, Paul E. (2018) Empirical datasets for Applied Energy journal article "A physical supply-use table framework for energy analysis on the energy conversion chain". University of Leeds. [Dataset] https://doi.org/10.5518/393
Heun, Matthew, Santos, João, Brockway, Paul E., Pruim, Randall, Domingos, Tiago and Sakai, Marco (2017) Empirical datasets for Energies journal article 'From theory to econometrics to energy policy: Cautionary tales for policymaking using aggregate production functions'. University of Leeds. [Dataset] https://doi.org/10.5518/152
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Ivanova, Diana and Middlemiss, Lucie (2021) Dataset associated with "Characterising the energy use of disabled people in the European Union towards inclusion in the energy transition". University of Leeds. [Dataset] https://doi.org/10.5518/1048
Ivanova, Diana and Middlemiss, Lucie (2021) Dataset associated with "Energy use and needs of disabled people in the EU: towards inclusion in the energy transition". University of Leeds. [Dataset] https://doi.org/10.5518/994
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Marsh, Alastair T. M., Dillon, Thomas and Bernal, Susan A. (2023) Dataset for "Cement and concrete decarbonisation roadmaps - a meta-analysis within the context of the United Kingdom". University of Leeds. [Dataset] https://doi.org/10.5518/1430
Marshall, Zeke, Brockway, Paul E., Heun, Matthew, Aramendia, Emmanuel, Steenwyk, Paul, Relph, Thomas, Widjanarko, Michelle, Kim, Jeonghoo, Sainju, Anjana and Franzius, Julian I. (2024) A Country-Level Primary-Final-Useful (CL-PFU) energy and exergy database v1.2, 1960-2020. University of Leeds. [Dataset] https://doi.org/10.5518/1199
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Nieto, Jaime, Brockway, Paul E., Sakai, Marco and Barrett, John (2024) Datasets associated with the paper: 'Assessing the energy and socio-macroeconomic impacts of the EV transition: A UK case study 2020-2050'. University of Leeds. [Dataset] https://doi.org/10.5518/1523
Nieto, Jaime, Pollitt, Hector, Brockway, Paul E., Clements, Lucy, Sakai, Marco and Barrett, John (2021) Datasets for Socio-macroeconomic impacts of implementing different post-Brexit UK energy reduction targets to 2030. University of Leeds. [Dataset] https://doi.org/10.5518/1043
Norman, James, Maycock, Amanda C., Troccoli, Alberto and Suraje, Dessai (2023) Dataset of Indian wind farms and synthetic wind generation timeseries per Indian state. University of Leeds. [Dataset] https://doi.org/10.5518/1418
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Pariyar, Bishnu (2015) Nepal Energy Gardens Qualitative Dataset and Quantitative Survey Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/4
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Ver Beek, Noah, Vindel, Elvin, Heun, Matthew and Brockway, Paul E. (2020) Data associated with the Energies article 'Quantifying the Environmental Impacts of Cookstove Transitions: A Societal Exergy Analysis Based Model of Energy Consumption and Forest Stocks in Honduras'. University of Leeds. [Dataset] https://doi.org/10.5518/828
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Woodman, Nicholas, Loveridge, Fleur, Javed, Saqib and Claesson, Johan (2022) A radial model for fast analysis of thermal pile heat exchangers. University of Leeds. [Dataset] https://doi.org/10.5518/1167


