Endogenizing R&D and market experience in the "bottom-up" energy-systems ERIS model

Barreto, L. & Kypreos, S. (2004). Endogenizing R&D and market experience in the "bottom-up" energy-systems ERIS model. Technovation 24 (8) 615-629. 10.1016/S0166-4972(02)00124-4.

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Abstract

ERIS, an energy-systems optimization model that endogenizes learning curves, is modified in order to incorporate the effects of R&D investments, an important contributing factor to the technological progress of a given technology. For such purpose a modified version of the standard learning curve formulation is applied, where the investment costs of the technologies depend both on cumulative capacity and the so-called knowledge stock. The knowledge stock is a function of R&D expenditures that takes into account depreciation and lags in the knowledge accumulated through R&D. An endogenous specification of the R&D expenditures per technology allows the model to perform an optimal allocation of R&D funds among competing technologies. The formulation is described, illustrative results presented, some insights are derived, and further research needs are identified.

Item Type:	Article
Uncontrolled Keywords:	Learning curves; R&D; market experience; energy-systems models
Research Programs:	Environmentally Compatible Energy Strategies (ECS)
Bibliographic Reference:	Technovation; 24(8):615-629 [2004]
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 02:16
Last Modified:	27 Aug 2021 17:18
URI:	https://pure.iiasa.ac.at/7169

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