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A new and promising technique for observing the Universe and study the darksector is the intensity mapping of the redshifted 21cm line of neutral hydrogen(HI). The BINGO radio telescope will use the 21cm line to map the Universe inthe redshift range $0.127 \le z \le 0.449$, in a tomographic approach, with themain goal of probing BAO. This work presents the forecasts of measuring thetransversal BAO signal during the BINGO Phase 1 operation. We use twoclustering estimators, the two-point angular correlation function (ACF) and theangular power spectrum (APS), and a template-based method to model the ACF andAPS estimated from simulations of the BINGO region and extract the BAOinformation. The tomographic approach allows the combination of redshift binsto improve the template fitting performance. We find that each clusteringestimator shows different sensitivities to specific redshift ranges, althoughboth of them perform better at higher redshifts. In general, the APS estimatorprovides slightly better estimates, with smaller uncertainties and largerprobability of detection of the BAO signal, achieving $\gtrsim 90$\% at higherredshifts. We investigate the contribution from instrumental noise and residualforeground signals and find that the former has the greater impact, gettingmore significant as the redshift increases, in particular the APS estimator.Indeed, including noise in the analysis increases the uncertainty up to afactor of $\sim 2.2$ at higher redshifts. Foreground residuals, in contrast, donot significantly affect our final uncertainties. In summary, our results showthat, even including semi-realistic systematic effects, BINGO has the potentialto successfully measure the BAO scale in radio frequencies. (Abridged)

The BINGO project VIII: On the recoverability of the BAO signal on HI intensity mapping simulations