Mineral Resources, Limits to: The Case of Peak Oil

Bardi, Ugo

doi:10.1016/b978-0-08-097086-8.91083-3

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…The production curve generated by the SCLV model is shown in Figures 4 and 5. The maximum value of the Hubbert curve is often defined as the "Hubbert Peak" or "peak oil", a concept that has generated much interest in the debate about oil depletion [46][47][48]. It is normally believed that the production curve will be bell-shaped and symmetric, but this is not always the case [48,49].…”

Section: Results: Modeling the Eroei Parametermentioning

confidence: 99%

The Role of Energy Return on Energy Invested (EROEI) in Complex Adaptive Systems

2021

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The energy return on energy invested, EROI or EROEI, is the ratio of the energy produced by a system to the energy expended to build, maintain, and finally dismantle the system. It is an important parameter for evaluating the efficiency of energy-producing technologies. In this paper, we examine the concept of EROEI from the general viewpoint of dynamic dissipative systems, providing insights on a wider range of applications. In general, natural resources can be assimilated to energy stocks characterized by a potential that can be exploited by creating intermediate stocks. This transformation is typical of dissipative systems and for the first time, we report that the Lotka–Volterra model, usually confined to the study of the biology of populations, can represent a powerful tool to estimate the EROEI of dissipative systems and, in particular, those systems subjected to depletion. This assessment is important to evaluate the ongoing energy transition since it provides us with a model for the decline of the EROEI in the exploitation of fossil fuels.

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Section: Results: Modeling the Eroei Parametermentioning

confidence: 99%

The Role of Energy Return on Energy Invested (EROEI) in Complex Adaptive Systems

2021

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“…In this field, despite the availability of various kinds of models for the waste stream and composition, it is difficult to apply them to the practical reality of waste management [7]. It appears that the industry that manages urban solid waste does not show the same acute interest in modeling future trends which is typical, instead, of the extractive industry, where much debate is ongoing about such concepts such as, for instance, "peak oil" [8,9].…”

Section: Introductionmentioning

confidence: 99%

Peak Waste? The Other Side of the Industrial Cycle

et al. 2014

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Abstract:The modern industrial cycle is mainly based on non-renewable mineral resources extracted from the Earth's crust. After being processed and transformed into commodities, the products of mining become manufactured products which go through the economic system and are then discarded in the form of gaseous, liquid or solid waste. Eventually, the mass of the output in the form of waste must balance the input in the form of minerals. A large number of model studies have been performed on the first phase of the cycle-the production of mineral commodities-often with a specific interest in fossil fuels, with the objective of determining the future prospects of production. However, very few model studies of this kind have been performed about the future trends of waste generation. In this paper, we examine models of the industrial cycle compared to historical trends in municipal solid waste generation for different regions of the world. We show that waste generation in developed countries goes in parallel with the trends of industrial production and that several regions are showing a declining trend which may be interpreted in terms of "peaking" just as it is often done for the production of fossil fuels. Therefore, the "waste problem" in terms of increasing amounts of waste to be processed and disposed may not be so urgent as it is commonly perceived. OPEN ACCESSSustainability 2014, 6 4120

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Mineral Resources, Limits to: The Case of Peak Oil

Cited by 2 publications

References 29 publications

The Role of Energy Return on Energy Invested (EROEI) in Complex Adaptive Systems

The Role of Energy Return on Energy Invested (EROEI) in Complex Adaptive Systems

Peak Waste? The Other Side of the Industrial Cycle

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