The continuous use of fossil fuels has resulted in reserve depletion and environmental problems. It is felt that renewable energy sources (RES), such as wind and solar, are quite capable to actively contribute to meeting the today's energy demand. However, RES have a time dependent nature that constitutes their major disadvantage. To overcome this drawback, an energy storage system needs to be set up. In this manner, the stored energy can be utilized in the absence of RES or under peak load conditions. High-temperature pumped thermal energy storage (PTES) using packed bed constitutes an attractive solution. For this reason, in the present paper, the state of the art of high temperature energy storage for power generation is briefly reviewed. Subsequently, a modified plant scheme has been developed and built in Matlab environment. In order to predict the packed bed behaviour, a detailed model of the hot and cold storage has been included. Energy and economic evaluations have been performed to understand the feasibility of the proposed system. The modified PTES architecture shows better energy and economic performance than previous developed schemes.
Economic and energy analysis of a Thermal Energy Storage power system
BENATO, ALBERTO;PEZZUOLO, ALEX;STOPPATO, ANNA;MIRANDOLA, ALBERTO
2016
Abstract
The continuous use of fossil fuels has resulted in reserve depletion and environmental problems. It is felt that renewable energy sources (RES), such as wind and solar, are quite capable to actively contribute to meeting the today's energy demand. However, RES have a time dependent nature that constitutes their major disadvantage. To overcome this drawback, an energy storage system needs to be set up. In this manner, the stored energy can be utilized in the absence of RES or under peak load conditions. High-temperature pumped thermal energy storage (PTES) using packed bed constitutes an attractive solution. For this reason, in the present paper, the state of the art of high temperature energy storage for power generation is briefly reviewed. Subsequently, a modified plant scheme has been developed and built in Matlab environment. In order to predict the packed bed behaviour, a detailed model of the hot and cold storage has been included. Energy and economic evaluations have been performed to understand the feasibility of the proposed system. The modified PTES architecture shows better energy and economic performance than previous developed schemes.
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