Forecasting the diffusion of photovoltaic systems in southern Europe: A learning curve approach
نویسندگان
چکیده
Most analysts disagree upon whether photovoltaic systems (PV) will be able to play an important role in the energy scenarios of the future. A few scholars also question the appropriateness of policies that envisage the use of public subsidies to stimulate the growth of this industry and to accelerate market penetration. This paper contributes to this debate by examining whether carefully designed policies may initiate a process of large-scale diffusion of grid-connected PV, even without the deployment of external subsidies. Building upon a disaggregated characterization of the electricity market, it takes endogenously into account the learning curve phenomenon and simulates the diffusion of PV building-integrated systems in five European countries. The analysis is restricted to crystalline silicon systems and is repeated under four different macroeconomic scenarios corresponding to four different energy policies. The results suggest that already today there are opportunities for PV diffusion in many islands of the Mediterranean region, which may trigger sufficient scale economies to render the technology competitive in larger markets. They also show that the diffusion process could be accelerated through the implementation of carbon-tax policies that support initial penetration. The 0040-1625/02/$ – see front matter D 2002 Elsevier Science Inc. All rights reserved. PII: S0040 -1625 (01 )00183 -4 * Corresponding author. Tel.: +44-20-7262-5050; fax: +44-20-7724-7875. E-mail addresses: [email protected] (A. Masini), [email protected] (P. Frankl). 1 Tel.: +39-6-4991-9014, fax: +39-6-4991-9013. $ The primary author conducted this research during his stay at the centre for the management of environmental resources at INSEAD. Technological Forecasting & Social Change
منابع مشابه
Time series forecasting of Bitcoin price based on ARIMA and machine learning approaches
Bitcoin as the current leader in cryptocurrencies is a new asset class receiving significant attention in the financial and investment community and presents an interesting time series prediction problem. In this paper, some forecasting models based on classical like ARIMA and machine learning approaches including Kriging, Artificial Neural Network (ANN), Bayesian method, Support Vector Machine...
متن کاملLearning Curve Consideration in Makespan Computation Using Artificial Neural Network Approach
This paper presents an alternative method using artificial neural network (ANN) to develop a scheduling scheme which is used to determine the makespan or cycle time of a group of jobs going through a series of stages or workstations. The common conventional method uses mathematical programming techniques and presented in Gantt charts forms. The contribution of this paper is in three fold. First...
متن کاملFinite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?
The Finite Element Method (FEM) has been used in the broad field of continuum mechanics in engineering disciplines for several decades. However, recently, some scholars have attempted to apply the method to social science phenomena. What is the scope of using FEM in social science-related fields? Anchored in the literature on social sciences, this paper, firstly, reviews the scope of using FEM ...
متن کاملShort term load forecast by using Locally Linear Embedding manifold learning and a hybrid RBF-Fuzzy network
The aim of the short term load forecasting is to forecast the electric power load for unit commitment, evaluating the reliability of the system, economic dispatch, and so on. Short term load forecasting obviously plays an important role in traditional non-cooperative power systems. Moreover, in a restructured power system a generator company (GENCO) should predict the system demand and its corr...
متن کاملOptimal energy management of the photovoltaic based distribution networks considering price responsive loads, energy storage systems and convex power flows.
Nowadays, presence of photovoltaic systems in distribution network is not without challenge and it may not have economic productivity for the system under the lack of optimal management. Energy storage systems are able to cope with this problem. Therefore, in this paper, a new method is proposed for energy management of the distribution networks in order to show that how presence of the energy ...
متن کامل