We use dynamic optimization methods to analyze the development of solar tec
hnologies in light of the increasing scarcity and environmental pollution a
ssociated with fossil fuel combustion. Learning from solar R&D efforts accu
mulates in the form of knowledge to gradually reduce the cost of solar ener
gy, while the scarcity and pollution externalities associated with fossil f
uel combustion come into effect through shadow prices that must he included
in the effective cost of fossil energy. Accounting for these processes, we
characterize the optimal time profiles of fossil and solar energy supply r
ates and the optimal investment in solar R&D. We find that the optimal rate
of fossil energy supply should decrease over time and vanish continuously
upon depletion of the fossil fuel reserves, while the optimal supply of sol
ar energy should gradually increase and eventually take over the entire ene
rgy demand. The optimal solar R&D investment should initially be set at the
highest feasible rate, calling for early engagement in solar R&D programs,
long before large scale solar energy production becomes competitive. (C) 2
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