Abstract
Industrial buildings account for very few high peaks of power demand. This situation forces them to contract a high fixed electricity term to cover it. A more intelligent use of the energy in industrial buildings, together with an improved efficiency of the transmission and distribution of the energy along the electric power grid, can be achieved by reducing the peak consumption of industrial buildings. Energy storage systems, and lithium ion (Li-ion) batteries in particular, are one of the most promising technologies for reducing this peak consumption. However, selecting a proper Li-ion battery requires a dimensioning process in terms of energy and power which is not straightforward. This paper proposes a dimensioning methodology that takes into consideration both technical and economic implications, and applies it to a case example with real industrial consumption data and a commercial battery. Results show that implementing batteries for reducing this peak consumption can lead to a cost–benefit improvement.
Highlights
The fee that electric energy consumers pay for being able to make use of it, commonly known as electricity access rate, is split into two terms in the majority of European countries: a variable term and a fixed term [1]
The variable term is associated with the energy consumed by the user, while the fixed term corresponds to the contracted power, defined as the maximum power that the user can consume before the power-limit switch is triggered
Among the different solutions proposed in the literature for achieving this goal, the inclusion of photovoltaic panels is presented as a feasible solution in [3,4], the vast majority of studies opt for implementing an energy storage system (ESS) so that the joint consumption profile of the ESS and the industrial building is modified, as in [5,6,7] among other studies
Summary
The fee that electric energy consumers pay for being able to make use of it, commonly known as electricity access rate, is split into two terms in the majority of European countries: a variable term and a fixed term [1]. Those criteria are based only on technical issues, or on techno-economic issues but using generic ageing data to calculate the BESS lifespan They analyse the complete compensation of technical issues under study, e.g., feed an isolated load with a combination of a BESS together with photovoltaic or eliminate the consumption peaks via smart charging of electric vehicles, which may not be the most feasible scenario faced by residential or industrial consumers. As a main contribution and further development, this paper proposes a BESS dimensioning methodology for diminishing the fixed term of the electricity access rate in real industrial consumption, employing a techno-economic criterion for selecting the optimum solution.
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