This paper discusses the feed in tariff policy for the rooftop photovoltaic market in Germany. It... more This paper discusses the feed in tariff policy for the rooftop photovoltaic market in Germany. It attempts to explain the fluctuation pattern of the PV deployments occurred between 2011 and 2014. The study aims to figure out the basic system structure behind this phenomenon, and suggest a way to reduce the fluctuations and stabilize the PV market growth. System dynamics method is used to build a simulation model as an alternative to optimization method used in earlier research. The simulation model successfully replicates the historical behavior. The model results were then analyzed to enhance feed in tariff policy design to have a dynamic and real-time feed in tariff policy instead of stepped and discontinuous one. The study concludes that dynamic price adjustments can significantly improve the stability of the market growth. Dynamic price adjustment can provide more cost-effective policy and provide reliable market projections for policy makers.
Feed in tariff policy has been successful in diffusing photovoltaic energy around the world.
This... more Feed in tariff policy has been successful in diffusing photovoltaic energy around the world. This success however usually comes on the cost of photovoltaic market. While the share of renewable energy might increase to reach national targets, market shakeout and series of bankruptcies might take place resulting in a boom bust cycles. Such market instability happens due to the frequency and magnitude of policy makers’ interventions to the feed in tariff policy. Through the understanding of dynamics of photovoltaic industry, this paper discusses the development of resilient and responsive feed in tariff policy using system dynamics.
This paper discusses the feed in tariff policy for the rooftop photovoltaic market in Germany. It... more This paper discusses the feed in tariff policy for the rooftop photovoltaic market in Germany. It attempts to explain the fluctuation pattern of the PV deployments occurred between 2011 and 2014. The study aims to figure out the basic system structure behind this phenomenon, and suggest a way to reduce the fluctuations and stabilize the PV market growth. System dynamics method is used to build a simulation model as an alternative to optimization method used in earlier research. The simulation model successfully replicates the historical behavior. The model results were then analyzed to enhance feed in tariff policy design to have a dynamic and real-time feed in tariff policy instead of stepped and discontinuous one. The study concludes that dynamic price adjustments can significantly improve the stability of the market growth. Dynamic price adjustment can provide more cost-effective policy and provide reliable market projections for policy makers.
Feed in tariff policy has been successful in diffusing photovoltaic energy around the world.
This... more Feed in tariff policy has been successful in diffusing photovoltaic energy around the world. This success however usually comes on the cost of photovoltaic market. While the share of renewable energy might increase to reach national targets, market shakeout and series of bankruptcies might take place resulting in a boom bust cycles. Such market instability happens due to the frequency and magnitude of policy makers’ interventions to the feed in tariff policy. Through the understanding of dynamics of photovoltaic industry, this paper discusses the development of resilient and responsive feed in tariff policy using system dynamics.
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Papers by Amin Al Yaquob
This success however usually comes on the cost of photovoltaic market. While the share of
renewable energy might increase to reach national targets, market shakeout and series of
bankruptcies might take place resulting in a boom bust cycles. Such market instability
happens due to the frequency and magnitude of policy makers’ interventions to the feed in
tariff policy. Through the understanding of dynamics of photovoltaic industry, this paper
discusses the development of resilient and responsive feed in tariff policy using system
dynamics.
This success however usually comes on the cost of photovoltaic market. While the share of
renewable energy might increase to reach national targets, market shakeout and series of
bankruptcies might take place resulting in a boom bust cycles. Such market instability
happens due to the frequency and magnitude of policy makers’ interventions to the feed in
tariff policy. Through the understanding of dynamics of photovoltaic industry, this paper
discusses the development of resilient and responsive feed in tariff policy using system
dynamics.