def plot_daily_psychrometric(hourly, name='', interactive=False):
fig = plt.figure()
ti = daily_mean(hourly.Ti)
wi = daily_mean(hourly.Wi)
rt = daily_total(hourly.RTFc) # cooling runtime
cd = np.where(rt > 0)[0] # cooling days
ncd = np.where(rt <= 0)[0] # non-cooling days
plt.scatter(ti[cd], wi[cd], color='b')
plt.scatter(ti[ncd], wi[ncd], color='r')
# plot some lines of constant RH
ts = np.linspace(65,85,5)
for rh in np.linspace(0.1, 1, 10):
plt.plot(ts, humidity_ratio(rh, ts), 'k')
plt.xlabel('Indoor Temperature [degF]')
plt.ylabel('Indoor Humidity Ratio')
plt.title('{0}: Psychrometric Chart'.format(name))
# RH labels on right hand side
ax1 = plt.axes()
ax2 = ax1.twinx()
ax2.get_yaxis().set_major_locator(ticker.FixedLocator(humidity_ratio(np.linspace(0,1,11), 85)/0.030)) # TODO don't hardcode limits
ax2.get_yaxis().set_major_formatter(ticker.FixedFormatter(np.linspace(0,100,11)))
plt.ylabel('Indoor RH [%]')
# ax2.get_yaxis().set_major_locator(ticker.FixedLocator(np.linspace(0,1,11)))
if name:
fig.savefig('{1}/{0}-psychrometric.png'.format(name, summary_path))
if not interactive:
plt.close()
def plot_humidity_ratio(hourly, name='', interactive=False):
fig = plt.figure()
plt.scatter(daily_mean(hourly.Wo), daily_mean(hourly.Wi))
plt.xlabel('Outdoor Humidity Ratio')
plt.ylabel('Indoor Humidity Ratio')
plt.title('{0}: Daily Humidity Ratio'.format(name))
if name:
fig.savefig('{1}/{0}-wi-wo.png'.format(name, summary_path))
if not interactive:
plt.close()
def rh_by_runtime(RTFc, RTFh, RHi, **hourly):
heads = ['Hours above 50% RH; days with no cooling or heating',
'Number of days; no cooling or heating',
'Mean RH, days with no cooling or heating',
'Hours above 50% RH; days with cooling, no heating',
'Number of days; cooling, no heating',
'Mean RH, days with cooling, no heating',
'Hours above 50% RH; days with heating, no cooling',
'Number of days; heating, no cooling',
'Mean RH, days with heating, no cooling',
'Hours above 50% RH; days with heating and cooling',
'Number of days; heating and cooling',
'Mean RH, days with heating and cooling']
vals = []
conditions = [np.intersect1d(np.where(daily_total(RTFc)==0)[0], np.where(daily_total(RTFh)==0)[0]),
np.intersect1d(np.where(daily_total(RTFc)>0)[0], np.where(daily_total(RTFh)==0)[0]),
np.intersect1d(np.where(daily_total(RTFc)==0)[0], np.where(daily_total(RTFh)>0)[0]),
np.intersect1d(np.where(daily_total(RTFc)>0)[0], np.where(daily_total(RTFh)>0)[0])]
for condition in conditions:
vals.append(daily_total(np.where(RHi > 50, 1, 0))[condition].sum())
vals.append(len(condition))
vals.append(daily_mean(RHi)[condition].mean())
if len(heads) != len(vals):
print("only {0} values for {1}".format(len(vals), hourly['name']))
return (heads, vals)
def ac_bal_point(h, name='', interactive=False):
fig = plt.figure()
rt = daily_total(h.RTFc) # AC runtime
ts = daily_mean(h.To)
ch = np.where(rt>0) # cooling hours
trlim = (60,90)
p = np.polyfit(ts[ch], rt[ch], 1)
tr = np.poly1d(p)
plt.scatter(ts, rt, marker='+', s=10, linewidths=0.1, color='r')
# don't plot balance point, Hugh says
#plt.plot(trlim, tr(trlim), 'r')
plt.ylim(0,40)
plt.xlabel('Outdoor Daily Avg T [degF]')
plt.ylabel('Daily AC Runtime [hours]')
plt.title('{0}:Cooling Balance'.format(name))
if name:
fig.savefig('{1}/{0}-AC-balance.png'.format(name, summary_path))
if not interactive: # if name is provided, assume called from script, unless interactive set
plt.close()
return p[1]/p[0] # Balance Point below which no AC is needed
