Open Source Building Science Sensors (OSBSS): A low-cost Arduino-based platform for long-term indoor environmental data collection

Building and Environment

Volumn 100, Issue , 2016, Pages 114-126

  Ali, Akram Syed ^a   Zanzinger, Zachary ^a   Debose, Deion ^a   Stephens, Brent ^a  

^a Illinois Institute of Technology   (United States)

Author keywords

Arduino; Data collection; Indoor environment; Open source; Sensors

Indexed keywords

ATMOSPHERIC TEMPERATURE; BUILDINGS; CARBON DIOXIDE; COST EFFECTIVENESS; COSTS; DATA INTEGRATION; INTELLIGENT BUILDINGS; OPEN SOURCE SOFTWARE; SENSORS;

ARDUINO; DATA COLLECTION; DIFFERENTIAL PRESSURE SENSOR; EDUCATIONAL BUILDINGS; HARDWARE AND SOFTWARE; INDOOR ENVIRONMENT; OPEN SOURCES; SPATIAL AND TEMPORAL RESOLUTIONS;

DATA ACQUISITION;

BUILDING; INDOOR AIR; SENSOR;

EID: 84959220045     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2016.02.010     Document Type: Article

References (26)

1. Guerra-Santin O., Tweed C.A. In-use monitoring of buildings: An overview of data collection methods. Energy Build. Apr. 2015, 93:189-207.
2. Babaei T., Abdi H., Lim C.P., Nahavandi S. A study and a directory of energy consumption data sets of buildings. Energy Build. May 2015, 94:91-99.
3. Langevin J., Wen J., Gurian P.L. Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors. Build. Environ. Jun. 2015, 88:27-45.
4. Ramos T., Dedesko S., Siegel J.A., Gilbert J.A., Stephens B. Spatial and Temporal Variations in Indoor Environmental Conditions, Human Occupancy, and Operational Characteristics in a New Hospital Building. PLoS ONE Mar. 2015, 10(3). p. e0118207.
5. Heinzerling D., Schiavon S., Webster T., Arens E. Indoor environmental quality assessment models: A literature review and a proposed weighting and classification scheme. Build. Environ. Dec. 2013, 70:210-222.
6. Ramos T., Stephens B. Tools to improve built environment data collection for indoor microbial ecology investigations. Build. Environ. Nov. 2014, 81:243-257.
7. Xiao F., Fan C. Data mining in building automation system for improving building operational performance. Energy Build. Jun. 2014, 75:109-118.
8. Tse W.L., Chan W.L. A distributed sensor network for measurement of human thermal comfort feelings. Sens. Actuators Phys. Jun. 2008, 144(2):394-402.
9. Jang W.-S., Healy W.M., Skibniewski M.J. Wireless sensor networks as part of a web-based building environmental monitoring system. Autom. Constr. Aug. 2008, 17(6):729-736.
10. International Organization for Standardization BS EN ISO 7726:2001 Ergonomics of the Thermal Environment. Instruments for Measuring Physical Quantities 2001, International Organization for Standardization. 2001st ed.
11. Ali A.S. Open Source Building Science Sensors (OSBSS): a Low-cost Arduino-based Platform for Long-term Data Collection in Indoor Environments 2015, Master's thesis, Illinois Institute of Technology, Chicago, IL.
12. Barroca N., Borges L.M., Velez F.J., Monteiro F., Górski M., Castro-Gomes J. Wireless sensor networks for temperature and humidity monitoring within concrete structures. Constr. Build. Mater. Mar. 2013, 40:1156-1166.
13. Lian K.-Y., Hsiao S.-J., Sung W.-T. Intelligent multi-sensor control system based on innovative technology integration via ZigBee and Wi-Fi networks. J. Netw. Comput. Appl. Mar. 2013, 36(2):756-767.
14. Nagy Z., Rossi D., Hersberger C., Irigoyen S.D., Miller C., Schlueter A. Balancing envelope and heating system parameters for zero emissions retrofit using building sensor data. Appl. Energy Oct. 2014, 131:56-66.
15. "greiman/SdFat," GitHub. [Online]. Available: . [Accessed: 11-Dec-2015]. https://github.com/greiman/SdFat.
16. A. M. Holberg and A. Saetre, Innovative Techniques for Extremely Low Power Consumption with 8-bit Microcontrollers, Atmel Corporation, Feb-2006.
17. Benchmarks: RealTime Clocks - DS3231/PCF8563/MCP79400/DS1307, SwitchDoc Labs.
18. Jiménez M., Palomera R., Couvertier I. Introduction to Embedded Systems: Using Microcontrollers and the MSP430 2013, Springer Science & Business Media.
19. Barnes James A. The Measurement of Linear Frequency Drift in Oscillators. Proc. 15th Annu. PTTI Meet. 1983 1983.
20. Broussely M., Biensan P., Bonhomme F., Blanchard P., Herreyre S., Nechev K., Staniewicz R.J. Main aging mechanisms in Li ion batteries. J. Power Sources Aug. 2005, 146(1-2):90-96.
21. Yi J., Kim U.S., Shin C.B., Han T., Park S. Modeling the temperature dependence of the discharge behavior of a lithium-ion battery in low environmental temperature. J. Power Sources Dec. 2013, 244:143-148.
22. Zhu G., Wen K., Lv W., Zhou X., Liang Y., Yang F., Chen Z., Zou M., Li J., Zhang Y., He W. Materials insights into low-temperature performances of lithium-ion batteries. J. Power Sources Dec. 2015, 300:29-40.
23. Ilić D., Butorac J., Ferković L. Temperature measurements by means of NTC resistors and a two-parameter approximation curve. Measurement Apr. 2008, 41(3):294-299.
24. Wang S., Burnett J., Chong H. Experimental Validation of CO2-Based Occupancy Detection for Demand-Controlled Ventilation. Indoor Built Environ. Nov. 1999, 8(6):377-391.
25. Persily A.K. Evaluating building IAQ and ventilation with indoor carbon dioxide. ASHRAE Trans. 1997, 103(2):1-12.
26. "Product Testing Report: Wall Mounted Carbon Dioxide (CO2) Transmitters - Iowa Energy Center" June 2009.