Ecco un esempio della tabella che uso io con dati reali (solo l'apporto solare e' calcolato in base a tabelle, sup finestre, esposizione, media mensile insolazione). Ho aggiunto l'ultima colonna solo per fare vedere che e' un calcolo inutile quello suggerito da marco (infatti dice lui stesso che sballa nel suo caso). Tutto il resto dei dati e' consistente e si vede dalla colonna bilancio (energetico): la differenza massima rispetto al fabbisogno e' di meno di 3 kWh termici al giorno (Marzo), ma in genere l'errore e' inferiore al 4%.
[TD="align: left"]Mese[/TD]
[TD="align: left"]Giorni[/TD]
[TD="align: left"]T media est[/TD]
[TD="align: left"]T interna[/TD]
[TD="align: left"]dispersioni[/TD]
[TD="align: left"]disp vent[/TD]
[TD="align: left"]prod pdc mensile[/TD]
[TD="align: left"]prod pdc/g[/TD]
[TD="align: left"]interni el[/TD]
[TD="align: left"]interni occ[/TD]
[TD="align: left"]acc acs[/TD]
[TD="align: left"]app solare[/TD]
[TD="align: left"]bilancio[/TD]
[TD="align: left"]consumo pdc[/TD]
[TD="align: left"]COP[/TD]
[TD="align: left"]kwhe pdc/gg[/TD]
[TD="align: left"]Gen 2016[/TD]
[TD="align: right"]31[/TD]
[TD="align: right"]4[/TD]
[TD="align: right"]20[/TD]
[TD="align: right"]43.1[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]906[/TD]
[TD="align: right"]29.2[/TD]
[TD="align: right"]6.5[/TD]
[TD="align: right"]3.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]2.4[/TD]
[TD="align: right"]1.2[/TD]
[TD="align: right"]199[/TD]
[TD="align: right"]4.55[/TD]
[TD="align: right"]0.40[/TD]
[TD="align: left"]Feb 2016[/TD]
[TD="align: right"]29[/TD]
[TD="align: right"]8[/TD]
[TD="align: right"]20[/TD]
[TD="align: right"]32.3[/TD]
[TD="align: right"]0.8[/TD]
[TD="align: right"]506[/TD]
[TD="align: right"]17.4[/TD]
[TD="align: right"]6.5[/TD]
[TD="align: right"]3.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]3.7[/TD]
[TD="align: right"]0.6[/TD]
[TD="align: right"]97[/TD]
[TD="align: right"]5.22[/TD]
[TD="align: right"]0.28[/TD]
[TD="align: left"]Mar 2016[/TD]
[TD="align: right"]31[/TD]
[TD="align: right"]10[/TD]
[TD="align: right"]20[/TD]
[TD="align: right"]26.9[/TD]
[TD="align: right"]0.6[/TD]
[TD="align: right"]285[/TD]
[TD="align: right"]9.2[/TD]
[TD="align: right"]5.0[/TD]
[TD="align: right"]3.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]6.0[/TD]
[TD="align: right"]2.6[/TD]
[TD="align: right"]58[/TD]
[TD="align: right"]4.91[/TD]
[TD="align: right"]0.19[/TD]
[TD="align: left"]Nov 2016[/TD]
[TD="align: right"]30[/TD]
[TD="align: right"]9.75[/TD]
[TD="align: right"]20[/TD]
[TD="align: right"]27.6[/TD]
[TD="align: right"]0.6[/TD]
[TD="align: right"]372[/TD]
[TD="align: right"]12.4[/TD]
[TD="align: right"]5.0[/TD]
[TD="align: right"]3.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]3.6[/TD]
[TD="align: right"]2.4[/TD]
[TD="align: right"]68[/TD]
[TD="align: right"]5.47[/TD]
[TD="align: right"]0.22[/TD]
[TD="align: left"]Dic 2016[/TD]
[TD="align: right"]31[/TD]
[TD="align: right"]4.1[/TD]
[TD="align: right"]20[/TD]
[TD="align: right"]42.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]883[/TD]
[TD="align: right"]28.5[/TD]
[TD="align: right"]6.0[/TD]
[TD="align: right"]3.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]2.7[/TD]
[TD="align: right"]1.8[/TD]
[TD="align: right"]189[/TD]
[TD="align: right"]4.67[/TD]
[TD="align: right"]0.38[/TD]
[TD="align: left"]Gen 2017[/TD]
[TD="align: right"]31[/TD]
[TD="align: right"]1.48[/TD]
[TD="align: right"]20[/TD]
[TD="align: right"]49.9[/TD]
[TD="align: right"]1.2[/TD]
[TD="align: right"]1164[/TD]
[TD="align: right"]37.5[/TD]
[TD="align: right"]6.5[/TD]
[TD="align: right"]3.8[/TD]
[TD="align: right"]1.0[/TD]
[TD="align: right"]2.4[/TD]
[TD="align: right"]-0.2
[/TD]
[TD="align: right"]271[/TD]
[TD="align: right"]4.30[/TD]
[TD="align: right"]0.47[/TD]