Suiting solar PV system and energy storage to commercial and industrial consumers

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Supervisor:
Dr. Hartmann Bálint
Department of Electric Power Engineering

Although the usage of renewable energy sources is still in it’s infancy, with the continous development of these technologies and affordable prices, these energy sources can be competitive on the market. It is worth to think about renewable energy sources as alternatives, maybe even as a resupply for the utility networks, taking the environmental consciousness into account.

The industrial consumers rarely feed back into the power grid, partly because of the bigger selfconsumption, and the different nature of the load curve: the utilization and the pay-off show a different image than those of the residential systems.

In this paper my aim is to investigate, what kind of boundary conditions make it possible and financially worth to install solar systems for commercial and industrial consumers. I also looked into the potential usage of energy storage systems, and whether they increase the efficiency of the system.

Therefore I analyzed the consumption data of an existing indutrial facility, based on different viewpoints. Starting from these data I make suggestions for the realization of suitable solar systems, with or without the usage of energy storage systems.

The study is based on the typical weekly data of the consumer. The facility has a usual consumption of ca. 700-1300 kW which I used to dimension the system accordingly. Sizing without an in-built energy storage demanded the requirement that the present performance of the solar panel shall be kept below the momentary consumption. Installing a 1 MWp solar panel turned out to be satisfactory which resulted in a system worth 416 million HUF with a return of 688 million in the 25th year of investment. When allowing energy storage and regeneration the goal was to cover the energy demand of different parts of the day. This study resulted in systems 3 to 5 times the original sizes. The upshots were refined by a model using return calculation which evinced that applying energy storage in such systems is not necessarily a benefiting investment. Highest returns were proven to be introduced by systems in the range of 2600-3200 kWp.

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