The learning-curve concept is considered to be an important tool for predicting the future costs of renewable-energy technology systems. This paper sets out the underlying rationale for learning-curve theory and the potential for its application to renewable technologies, such as photovoltaic-module and wind-power generator technologies. An indication of the data requirements for carrying out learning-curve projections is given together with an assessment of the requirements necessary for an analysis to be undertaken of the application of learning curves to other renewable-energy technologies. The paper includes a cost comparison and a figure-of-merit criterion applicable to photovoltaic-module and wind-power-turbine technologies.
Learning curves are frequently cited to justify the subsidization of new technologies to facilitate ...
This article reviews experience curve applications in energy technology studies to illustrate best p...
This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching...
The learning curve concept, which relates historically observed reductions in the cost of a technolo...
This paper aims at improving the application of the learning curve, a popular tool used for forecast...
The strategic transition from fossil energy to renewable energy is an irreversible global trend, but...
In bottom-up energy models endogenous technical change is introduced by implementing technology lear...
This paper uses the formal concept of learning curves to analyze regular behavior of performance im...
This dataset includes input data to estimate learning-by-doing (LbD) and learning-by-researching (Lb...
In this paper, which forms a chapter in the forthcoming Book âDelivering a Low Carbon Electricity Sy...
In this paper, which forms a chapter in the forthcoming Book “Delivering a Low Carbon Electricity Sy...
Transitioning towards a sustainable energy system requires the large-scale introduction of novel ene...
The experience curve effect has always challenged technology-related decisions. In the electricity s...
The applicability of learning and experience curves for predicting future costs of solar technologie...
The concepts of learning and experience are reviewed and their usefulness for predicting the future ...
Learning curves are frequently cited to justify the subsidization of new technologies to facilitate ...
This article reviews experience curve applications in energy technology studies to illustrate best p...
This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching...
The learning curve concept, which relates historically observed reductions in the cost of a technolo...
This paper aims at improving the application of the learning curve, a popular tool used for forecast...
The strategic transition from fossil energy to renewable energy is an irreversible global trend, but...
In bottom-up energy models endogenous technical change is introduced by implementing technology lear...
This paper uses the formal concept of learning curves to analyze regular behavior of performance im...
This dataset includes input data to estimate learning-by-doing (LbD) and learning-by-researching (Lb...
In this paper, which forms a chapter in the forthcoming Book âDelivering a Low Carbon Electricity Sy...
In this paper, which forms a chapter in the forthcoming Book “Delivering a Low Carbon Electricity Sy...
Transitioning towards a sustainable energy system requires the large-scale introduction of novel ene...
The experience curve effect has always challenged technology-related decisions. In the electricity s...
The applicability of learning and experience curves for predicting future costs of solar technologie...
The concepts of learning and experience are reviewed and their usefulness for predicting the future ...
Learning curves are frequently cited to justify the subsidization of new technologies to facilitate ...
This article reviews experience curve applications in energy technology studies to illustrate best p...
This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching...