From March 2015

Sustainable Climate System for my Gym

I have a room at my place where I work out a little. The room is south oriented and in the summer the temperature in the room when I come back home around 5pm  is more than 40ºC and less than 10% humidity.

I want to calculate the power needed to cool the room in 10 minutes the time I dedicate to warm up and stretch the muscles. After that I will choose a solar generation solution to make the system “green”.


Dimensions: 4,9  x 2,7 x 2,3 = 30,429 m3

Altitude: 850 m

Tmax = 50ºC

HRmin = 10%

Emax = 30,429 m3 x 0,9814 Kg/m3 x 72,37 KJ/Kg = 2161,1868 KJ

Tcomfort = 20ºC

HRcomfort = 40%

Ecomfort = 30,429 m3 x 1,083Kg/m3 x 36,34 KJ/Kg = 1197,5704 KJ

Air data calculator

Calculation method justification: Of course this is not the standard method to calculate the cooling power. The reason is that the room is closed almost all the day, where the sun


Entalphy  difference = 2161,1868 KJ – 1197,5704 KJ = 963,61 KJ

P = 963,61 KJ / 600 secs = 1,6 KW

Assuming a class A device, P = 1,6 KW x 0,55 = 883 W or 883 / 1,16 = 761 Kcal (FG)

Ok, we know that the air conditioner must provide 761FG and the electricity power is 883W, lets find a solar solution capable to produce the energy. I am looking for do-it-yourself kits consisting in panels, inverter, cables but no batteries at all. This means that you can plug the system directly to a wall socket.

soladinPlease note that because the system has no batteries, if there is no sun when the air conditioner is switched on, the energy will be consumed from the grid network. Therefore, the best solution is to program the device to work at peak sun hours in order to maintain the thermal jump lower. Don’t worry about the energy produced where the thermostat stops the air conditioner, because in summer the fridge works more hours than normal.

Find products yourself by googeling “domestic self solar kit”

Complex Event Processing and Big Data in Aviation for Monitoring/Registering Critical Situations and Crashes

I’m guessing the suitability of leveraging CEV and Big Data to provide real time data in addition to the official “blackbox” registers installed in aircraft for obtaining critical information in case of crashes and critical situations. The costs incurred for locating the registers is likely to be very high, mainly when the plane falls down in oceans, mountains and places with difficult access or when the energy impact is so high that the register becomes unusable.

Comparing jdbc-thin versus jdbc-oci


An OEL Dropbox VM macchine running on Intel i5 laptop 8Gb RAM 250 Gb SAS disk

The VM is the “Oracle Big Data Lite Virtual Machine 12c” located here

The VM is configured with 6810MB and 3 vcpus


Here the link to the java project utilized for the test

Here a shell script sample

Here test data sample

Here sql DDL/DML data sample


The test repeats a connection/select-fetch/disconnect pattern the specified number of tries.

The test has been run with different table row sizes, ant he response patter is always simillar.


The following chart shows the response times, jdbc-oci takes near 20% more time in average.

jdbc thin-oci comp

Please note that this results can’t be extrapolated to results obtained in native OCI implementations.


This results are only for demonstration purposes and haven’t been verified.

The test equipment haven’t been optimized nor tuned.