A Natural Analogy to the Diffusion of Energy-Efficient Technologies

Moya, José Antonio

doi:10.3390/en9060471

Cited by 3 publications

(12 citation statements)

References 37 publications

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“…This paper follows the approach to modelling the diffusion of innovations presented in [8]. In this approach, the diffusion of innovations happens in a social medium formed by stakeholders (innovators, potential adopters, regulators .…”

Section: Diffusion Of Eaf Based On the Drivers Of Innovation Diffusiomentioning

confidence: 99%

“…h is the driver or the innovations (cost-effective investments). Since the innovation process is based on individual decisions made by innovators, Moya [8] uses as a driver of innovations a function that collects the main parameters that historically have influenced cost-effectiveness analysis of any investment in the innovation. K is the permeability or innovation conductivity in the social medium.…”

Section: Diffusion Of Eaf Based On the Drivers Of Innovation Diffusiomentioning

confidence: 99%

“…Their analysis, based on the incorporation of the effect of some specific barriers affecting the attractiveness of the investments, confirms the existence of the "energy paradox". Recently, Moya [8] developed a new general approach to describe the diffusion of innovations in terms of its main drivers and barriers. Unlike Jaffe [7], this latter general approach enables us to quantify in just one term the overall effect of the barriers to the spread of electrical arc furnace technology (EAF).…”

Section: Introductionmentioning

confidence: 99%

“…This information has also been used to conduct profit models [14] and analyse the relevance of barriers. However, according to the original approach of Moya [8], the overall effect of barriers in the diffusion of innovations can be estimated from historical records about how the diffusion has taken place. This represents a very novel source of information with huge potential to analyse the relevance of barriers.…”

Section: Introductionmentioning

confidence: 99%

“…This last reference concludes with the need to represent the effect of the barriers in these models in a less aggregated and not so simplified manner. Although the approach proposed in Moya [8] also summarises the effect of barriers in a single parameter, this simplification comes from a theoretical background. Therefore, it makes sense to analyse the sensitivity of this single parameter to potential barriers (as done in Section 3 of this paper).…”

Section: Introductionmentioning

confidence: 99%

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Where Diffusion of Clean Technologies and Barriers to Innovation Clash: Application to the Global Diffusion of the Electrical Arc Furnace

Moya

2017

Energies

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This paper analyses the role of barriers preventing the worldwide take-up of a clean technology: the electrical arc furnace. It also identifies which barriers affect a parameter that summarises the combined effect of all of them. The first step, determination of the combined effect of the barriers, is carried out using a novel approach to model the diffusion of innovations. This new approach is composed only by terms that account for the driver of innovations and the parameter that summarises the effect of barriers. The objective quantification of the effect of barriers in the diffusion of innovations opens up new opportunities for designing policies to overcome the barriers identified as the most relevant, for identifying the effect of existing policies, for relating innovation indicators with those barriers or for better incorporating the effect of barriers in bottom-up models that forecast the technological evolution of the economy.

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Section: Diffusion Of Eaf Based On the Drivers Of Innovation Diffusiomentioning

confidence: 99%

Section: Diffusion Of Eaf Based On the Drivers Of Innovation Diffusiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Where Diffusion of Clean Technologies and Barriers to Innovation Clash: Application to the Global Diffusion of the Electrical Arc Furnace

Moya

2017

Energies

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Fractal model of “breakthrough” innovation in nanotechnology

Bukharov

Arakelian

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The fractal modeling approach is applied to the distribution process of breakthrough innovation in nanotechnology. For modeling, a diffusion-limited aggregation fractal is used. This model takes into account the change in the probability of adhesion (the ability to perceive innovations) and viscosity (the rate of propagation of innovations). Evaluation of the fractal dimension of the simulated structures allows us to identify trends and predict their further development. The model system reaches a breakthrough jump with a fractal dimension greater than 1.6. The unstable nature of the further development of the system will be observed with a sharp increase in fractal dimension, if the parameters of the ability to perceive innovations and the speed of innovation spread to level 1. Favorable conditions for the technological leap are realized in the case with a slightly lower fractal dimension when the rate of innovation spread is 1. The stable nature of the development of the system is observed at medium rates and above. With general trends below the average, the leap will be difficult to achieve.

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Towards a More Realistic Cost–Benefit Analysis—Attempting to Integrate Transaction Costs and Energy Efficiency Services

et al. 2020

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In order to calculate the financial return of energy efficiency measures, a cost–benefit analysis (CBA) is a proven tool for investors. Generally, however, most CBAs for investors have a narrow focus, which is—simply speaking—on investment costs compared with energy cost savings over the life span of the investment. This only provides part of the full picture. Ideally, a comprehensive or extended CBA would take additional benefits as well as additional costs into account. The objective of this paper is to reflect upon integrating into a CBA two important cost components: transaction costs and energy efficiency services—and how they interact. Even though this concept has not been carried out to the knowledge of the authors, we even go a step further to try to apply this idea. In so doing, we carried out a meta-analysis on relevant literature and existing data and interviewed a limited number of energy experts with comprehensive experience in carrying out energy services. Even though data is hardly available, we succeeded in constructing three real-world cases and applied an extended CBA making use of information gathered on transaction costs and energy services costs. We were able to show that, despite these additional cost components, the energy efficiency measures are economically viable. Quantitative data was not available on how energy services reduce transaction costs; more information on this aspect could render our results even more positive. Even though empirical and conceptual research must intensify efforts to design an even more comprehensive CBA, these first-of-its-kind findings can counterargue those that believe energy efficiency is not worth it (in monetary terms) due to transaction costs or energy services costs. In fact, this is good news for energy efficiency and for those that seek to make use of our findings to argue in favor of taking up energy efficiency investments in businesses.

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A Natural Analogy to the Diffusion of Energy-Efficient Technologies

Cited by 3 publications

References 37 publications

Where Diffusion of Clean Technologies and Barriers to Innovation Clash: Application to the Global Diffusion of the Electrical Arc Furnace

Where Diffusion of Clean Technologies and Barriers to Innovation Clash: Application to the Global Diffusion of the Electrical Arc Furnace

Fractal model of “breakthrough” innovation in nanotechnology

Towards a More Realistic Cost–Benefit Analysis—Attempting to Integrate Transaction Costs and Energy Efficiency Services

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