Attended: Dr. Kuh, Andy, Kenny, Zach, Conrad, Ryan, Daisy, Michele, Jeremy, Keoni, Christie, Liane, Sayyed, Alex

Reminders and updates
Presentation: Project Description
Presentation: Conrad
Goals for the Week
–

• SCEL Barbecue on Tuesday, January 27, at 5:00 pm
  • Enter on google spreadsheet (sent in email) what you will be bringing
• Registering for x96 and 499
  • Deadline to add was yesterday, 1/21, but it is still possible to register for classes
• Students who have recently joined the lab
  • Must fill out waivers (given out)
  • Must email the leadership team at least one day in advance when you will be coming into the lab so we can make sure someone will be able to let you in
  • Will be given access to the Dropbox

• Tutoring sessions for forecasting team
  • Christie will be sending out a Doodle to find best time for sessions to be held
  • Sessions will be run by Seyyed
  • Anyone in lab is welcome to sit in and learn
    • Forecasting, prediction, estimation
    • Matlab

• Three weeks to solder
• Get reflow oven working by next week
• Soldering workshop?- Christie send out Doodle

• Deploy weather box on Holmes Hall
• Organize Dropbox
• Clean up lab
• Zach finish 496 paper

• Zach will be presenting

• Dr. Kuh- [email protected]
• Andy Pham- [email protected]
• Christie Obatake- [email protected]
• Zach Dorman- [email protected]
• Kenny Luong- [email protected]
• Conrad Chong- [email protected]
• Daisy Green- [email protected]
• Ryan Walser- [email protected]
• Jonathan Liang- [email protected]
• Makiko Kuwahara- [email protected]
• Michele Shimoda- [email protected]
• Keoni Davey- [email protected]
• Jeremy Garcia- [email protected]

The Smart Campus Energy Lab (SCEL) is an operational unit under the Renewable Energy & Island Sustainability (REIS) group. The REIS group, which encompasses many professors and other labs in the engineering department, strives to advance the development of sustainable and renewable technologies.

Similarly, SCEL also strives to advance this mission specifically by attacking issues with UH Manoa’s grid. Our main project at the moment is developing a sensing and monitoring platform which can provide enough data to forecast renewable energy generation rates such as solar PV and wind. Dubbed the “Weather Box” project, we hope to eventually develop a self-sufficient, scalable, mesh-networked and relatively cheap module that any University can deploy to collect data.

• High power consumption and low battery life
• Difficulty with assembly
• Difficult to debug
• Inefficient code
• High cost

• Christie Obatake - Project Manager
• Zachary Dorman - Technical Lead
• Kenny Luong - System Engineer/Mentor
• Andy Pham - System Engineer/Mentor

1. Get weather box up on roof
2. Before spring break, have one unit working and up
3. 5 weather boxes up on multiple roofs by end of semester
4. Configure weather box via command line/web interface by end of semester

1. Weatherbox
2. Tree monitor
3. Wind sensor
4. Lab Website
5. Web app
6. Server
7. Forecasting
8. Grid Monitoring

Firmware: Kenny and Zach

1. Networking Protocol
2. Power Management
3. Control Flow
4. Text Parser
5. Sensor Module

Server: Kenny

1. Decoding Algorithm
2. Database Layer
3. Data replication
4. Base station communication
5. Box communication tool (Command Line)

Box Hardware Design: Kenny and Jon

1. Control System
2. Power System
3. Sensors
4. PCB Layout

Box test hardware: Kenny and Jon

1. Companion test board
2. Breakout boards
3. Bring-up plan

Box test software: Christie

1. Software tests for hardware modules
2. Simulated environment for weatherbox
3. XBee system test

Database: Kenny

1. Database Configuration
2. Database Design
3. Data integrity
4. Backup

Box Fabrication: Christie and Jon

1. Soldering

Housing and mount: Zach

1. Mount design
2. Housing design
3. Integrity test

Web interface- for managing box: Zach and Kenny

1. Frontend Layout
2. Frontend code
3. Backend (API)

Base station code: Kenny

1. Tunneling Protocol
2. Daemon Creator
3. Home Base Communication
4. Hardware-specific configuration (XBee Nodes)

Base station hardware: Christie

1. Raspberry Pi + XBee Enclosure

Base station test hardware: Christie

1. Power cycle test

Base station test software: Zach

1. Network disconnect test
2. Simulated nodes and network

Contributing authors:

Created by cobatake on 2015/09/28 10:06.