  Optimal battery sizing studies tend to overly simplify the practical aspects
of battery operation within the battery sizing framework. Such assumptions may
lead to a suboptimal battery capacity, resulting in significant financial
losses for a battery project that could last more than a decade. In this paper,
we compare the most common existing sizing methods in the literature with a
battery sizing model that incorporates the practical operation of a battery,
that is, receding horizon operation. Consequently, we quantify the financial
losses caused by the suboptimal capacities obtained by these models for a
realistic case study related to community battery storage (CBS). We develop the
case study by constructing a mathematical framework for the CBS and local end
users. Our results show that existing sizing methods can lead to financial
losses of up to 22%.
