1.Challenge As an building energy saving solution architect , I had to persuade and demonstrate why the operators should take   an action following my data analytic result . 

 2.Selection Rather than explaining A to Z about how well the building ’s HVAC system operated , I tried to use Python for not   just analyzing the problem but also finding solutions . 

 3.Application First , visualize using Python what happened on whole building for 24 hours . When the HVAC system turned   on , how much the damper opened and what was the indoor air quality was when system operated , which was   like demonstrating system performance and system operation efficiency clearly for the operators in order to find   out the problem by themselves . 

 4.Insight In many cases , just one insightful graph or picture tells us everything what the author would like to explain . In this   case , the operators realize easily why they need to change system turn on / off time and setting point just by   watching the graph I prepared which was another good lesson I learned from the real working situation . 

 5.Approach Next time I will spend less time in finding the problem , it is better to communicate with the operators with few   slides and initial analytics in early stage . I should not had to prepare the perfect solutions . 

 24hours Free cooling analysis report(2019.4.18 ) 

 Enthalpy(kj / kg ) 

 Outdoor temp and 

 damper open rate 

 Outdoor enthalpy Indoor enthalpy Return temperature Damper open rate 

 Damper opened 100 % when outdoor   enthalpy was higher than indoor   enthalpy which can cause energy loss 

 Visualization Image sample for showing the problem 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: 1.Challenge As an building energy saving solution architect , I had to persuade and demonstrate why the operators should take   an action following my data analytic result . 

 2.Selection Rather than explaining A to Z about how well the building ’s HVAC system operated , I tried to use Python for not   just analyzing the problem but also finding solutions . 

 3.Application First , visualize using Python what happened on whole building for 24 hours . When the HVAC system turned   on , how much the damper opened and what was the indoor air quality was when system operated , which was   like demonstrating system performance and system operation efficiency clearly for the operators in order to find   out the problem by themselves . 

 4.Insight In many cases , just one insightful graph or picture tells us everything what the author would like to explain . In this   case , the operators realize easily why they need to change system turn on / off time and setting point just by   watching the graph I prepared which was another good lesson I learned from the real working situation . 

 5.Approach Next time I will spend less time in finding the problem , it is better to communicate with the operators with few   slides and initial analytics in early stage . I should not had to prepare the perfect solutions . 

 24hours Free cooling analysis report(2019.4.18 ) 

 Enthalpy(kj / kg ) 

 Outdoor temp and 

 damper open rate 

 Outdoor enthalpy Indoor enthalpy Return temperature Damper open rate 

 Damper opened 100 % when outdoor   enthalpy was higher than indoor   enthalpy which can cause energy loss 

 Visualization Image sample for showing the problem
### Output: 