Order from Chaos: A Preliminary Protocol for Determining the EROI of Fuels
By D. Murphy, C. Hall, M. Dale, C. Cleveland. 2011
303 citations recorded by the source corpus.
The main objective of this manuscript is to provide a formal methodology, structure, and nomenclature for EROI analysis that is both consistent, so that all EROI numbers across various processes can be compared, and also flexible, so that changes or additions to the universal formula can focus analyses on specific areas of concern. To accomplish this objective we address four areas that are of particular interest within EROI analysis: (1) boundaries of the system under analysis, (2) energy quality corrections, (3) energy-economic conversions, and (4) alternative EROI statistics. Lastly, we present step-by-step instructions outlining how to perform an EROI analysis.
Subfields: Control and Systems Engineering, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/c19a0f2511805f73b1051aab0f511665ea6692ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
In Environmental Engineering
- Íñigo Capellán-Pérez
- Carlos de Castro
- Luis Javier Miguel González
- C. Hall
- Jessica G. Lambert
- Stephen B. Balogh
- Michelle Arnold
- A. Gupta
In Renewable Energy, Sustainability and the Environment
- Íñigo Capellán-Pérez
- Carlos de Castro
- Luis Javier Miguel González
- Stephen B. Balogh
- C. Hall
- Jessica G. Lambert
- Michelle Arnold
- A. Gupta
Citations in the corpus
- Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview (2018, background): “8 Order from chaos: a preliminary protocol for determining the EROI of fuels [29] Murphy, D.”
- Energy, EROI and quality of life (2014, background): “EROI is, simply put, the energy gained from a unit of energy spent in the process of obtaining energy (Hall et al., 1979; Cleveland et al.,1984; Murphy et al., 2011).”
- EROI of different fuels and the implications for society (2014, unknown): “While recognizing the uncertainties involved in, and inherent to, all EROI calculations, Murphy et al. (2011) proposed that these differences largely can be reduced when similar boundaries are used for the assessment.”
- Dynamic Energy Return on Energy Investment (EROI) and material requirements in scenarios of global transition to renewable energies (2019, methodology): “MEDEAS dynamically computes the EROI2 of the full energy system and its feedback to the energy demand, acknowledging that the system boundary also varies along the temporal dimension [22,37,56].”