Provision of cooling in Oman - a linear optimisation problem with special consideration of different storage options

Abstract

The work analyses thermal and electrical solar cooling systems regarding the influence of energy storages using the open source tool open energy modelling framework (oemof). The systems are optimised with respect to lowest cost, considering various storage configurations and boundary conditions such as a required solar fraction. The results illustrate the importance of the different storage options on the size of the system components and the solar fraction. Optimal solar electrical cooling achieves solar fractions above 65%, optimal solar thermal cooling solar fractions above 87%, with a clear economic advantage for solar electrical cooling. Electrical energy storage suffers from high investment cost (compared to other storage options) and is not part of the cost optimal solutions. A sensitivity analysis shows, that even 50% decreased storage costs and increased electricity prices don't allow a profitable use of large electrical storages. To increase the solar fraction of solar electrical cooling to more than 65 % it is mandatory to use electricity storage. For both concepts, higher than cost optimal solar fractions can be achieved by increasing the respective storage sizes. Solar fractions of up to 95% are still economically reasonable. However, solar fractions above 98% result in an extreme cost increase.

Techno-economic modelling and optimisation of excess heat and cold recovery for industries: A review

“…Köhler et al investigated the possible storage options for the provision of cooling using a linear optimisation problem in Oemof. The study analyses the thermal and electrical solar cooling systems and the impact of storage on the two systems [135]. Wolf et al studied the possibility of increasing flexibility in CHP plants by investing in different types of storage.…”