We focus on the influence of learning by doing and policy but will not take the environmental externality into account

pages

English

Documents

Écrit par
Arnaud

Publié par
pefav

Lire un extrait

Obtenez un accès à la bibliothèque pour le consulter en ligne En savoir plus

Découvre YouScribe en t'inscrivant gratuitement

Je m'inscris

Découvre YouScribe en t'inscrivant gratuitement

Je m'inscris

pages

English

Ebook

Lire un extrait

Obtenez un accès à la bibliothèque pour le consulter en ligne En savoir plus

Publié par

pefav

Nombre de lectures

Langue

English

We focus on the influence of learning by doing and policy, but will not take the environmental externality into account Description of the model We consider two periods 1 and 2, in which economic agents can install photovoltaic (PV) systems. The size and lifetime of the PV systems are standard. The cost of the installation is composed of the cost of PV modules which is the same for every system installed since PV panels are commodities, but which is different in period 1 and 2 due to learning effect, and additional costs (BOS, installation, etc.) which is responsible for PV systems heterogeneity. The actualisation rate r is positive. A total quantity Qmax of PV systems can be installed over the two periods. We consider three situations: Without policy (Business as usual), Optimal (were the quantity of solar panels installed in periods 1 and 2 are optimal), and Policy, through the implementation of a feed-in tariff (FIT). Model parameters: Table 1 shows the parameters used in the model which are explained below. Period 1 Period 2 Installed quantity Q1 Q2 Q1 Electricity cost E E PV modules cost C1 C1 Q1 Additional cost Q Q Feed-in-tariff The quantities of PV modules installed are Q1 in the first period, and Q2 over the two periods, so Q2 Q1 during the second period.

blind agents install

installed quantities

pv systems

than lim

standard system

qmax

Voir

Publié par

pefav

Nombre de lectures

Langue

English

We focus on the influence of learning by doing and policy, butwill not take the environmental externality into account

Description of the model We consider two periods 1 and 2, in which economic agents can install photovoltaic (PV) systems. The size and lifetime of the PV systems are standard. The cost of the installation is composed of the cost of PV modules which is the same for every system installed since PV panels are commodities, but which is different in period 1 and 2 due to learning effect, and additional costs (BOS, installation, etc.) which is responsible for PV systems heterogeneity. The actualisation rate r is positive. A total quantityQmaxof PV systems can be installed over the two periods. We consider three situations: Without policy (Business as usual), Optimal (were the quantity of solar panels installed in periods 1 and 2 are optimal), and Policy, through the implementationof a feed-in tariff (FIT).

Model parameters: Table 1 shows the parameters used in the model which are explained below.

Installed quantity Electricity cost PV modules cost Additional cost Feed-in-tariff

Period 1 Q1 E C1 Q 

Period 2 Q2Q1 E C1Q1 Q 

The quantities of PV modules installed areQ1in the first period, andQ2over the two

periods, soQ2Q1during the second period.

The cost of electricity is the same for both periods,E. It corresponds to the quantity of electricity produced by a standard system (size and lifetime). Therefore ifSis the size of  rt a project in kW/year, andElecthe electricity cost in $/kW:ESElec.e.dt 0 The cost of PV panels isC1in period 1, which is exogenous. The cost in period 2 is defined endogenously according to the learning curve theory suggesting that Cum2 CC1 whereCumjis the cumulative installed PV systems at the beginning 2 Cum1 of period j, andthe learning parameter. For small quantities of installed projectsQ1in period 1 (compared toCum1), we can write: