Measurement of CO2 concentration for occupancy estimation in educational buildings with energy efficiency purposes
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[1] William R Leonard,et al. Measuring human energy expenditure and metabolic function: basic principles and methods. , 2010, Journal of anthropological sciences = Rivista di antropologia : JASS.
[2] Muhannad Delwati,et al. Demand controlled ventilation (DCV) in school and office buildings: Lessons learnt from case studies , 2018, Energy and Buildings.
[3] Tsuyoshi Murata,et al. {m , 1934, ACML.
[4] Shengwei Wang,et al. Experimental Validation of CO2-Based Occupancy Detection for Demand-Controlled Ventilation , 1999 .
[5] Agnieszka Wyłomańska,et al. Detection of occupancy profile based on carbon dioxide concentration pattern matching , 2016 .
[6] A. Szczurek,et al. Occupancy determination based on time series of CO2 concentration, temperature and relative humidity , 2017 .
[7] B. J. Wachenfeldt,et al. Air flow rates and energy saving potential in schools with demand-controlled displacement ventilation , 2007 .
[8] M. Perino,et al. Energy demand profile generation with detailed time resolution at an urban district scale: A reference building approach and case study , 2017 .
[9] Hwataik Han,et al. Bayesian estimation of occupancy distribution in a multi-room office building based on CO2 concentrations , 2018 .
[10] D. Johansson,et al. Indoor air temperatures, CO2 concentrations and ventilation rates: Long-term measurements in newly built low-energy schools in Sweden , 2019, Journal of Building Engineering.
[11] Andrea Kindinis,et al. Energy and comfort assessment in educational building: Case study in a French university campus , 2017 .
[12] Gorjan Alagic,et al. #p , 2019, Quantum information & computation.
[13] Kwok Wai Tham,et al. Predicting occupancy counts using physical and statistical Co 2 -based modeling methodologies , 2017 .
[14] Massimiliano Manfren,et al. Probabilistic behavioural modeling in building performance simulation—The Brescia eLUX lab , 2016 .
[15] Rita Streblow,et al. CO2 based occupancy detection algorithm: Experimental analysis and validation for office and residential buildings , 2015 .
[16] Ioan Sarbu,et al. Experimental and numerical research to assess indoor environment quality and schoolwork performance in university classrooms , 2015 .
[17] Lihua Xie,et al. Building occupancy estimation and detection: A review , 2018, Energy and Buildings.
[18] Ricardo M.S.F. Almeida,et al. Indoor environmental quality of classrooms in Southern European climate , 2014 .
[19] Anna Magrini,et al. Energy Audit of Public Buildings: The Energy Consumption of a University with Modern and Historical Buildings. Some Results , 2016 .
[20] Mahroo Eftekhari,et al. Control of CO2 in a naturally ventilated classroom , 2008 .
[21] Miguel Á. Carreira-Perpiñán,et al. OBSERVE: Occupancy-based system for efficient reduction of HVAC energy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.
[22] J. Bourbeau,et al. Building-related illnesses. , 1997, The New England journal of medicine.
[23] Pawel Wargocki,et al. Research Report on Effects of HVAC on Student Performance , 2006 .
[24] Liu Yang,et al. Thermal comfort and building energy consumption implications - A review , 2014 .
[25] Hasim Altan,et al. Energy Performance Analysis of University Buildings: Case Studies atSheffield University, UK , 2014 .
[26] Olatz Irulegi,et al. Retrofit strategies towards Net Zero Energy Educational Buildings: A case study at the University of the Basque Country , 2017 .
[27] A. Persily. Challenges in Developing Ventilation and Indoor Air Quality Standards: The Story of ASHRAE Standard 62. , 2015, Building and environment.
[28] Theis Heidmann Pedersen,et al. Investigating the performance of scenario-based model predictive control of space heating in residential buildings , 2018 .
[29] Ravi S. Srinivasan,et al. Analysis of energy performance of university campus buildings using statistical and energy modeling approaches , 2015, 2015 Winter Simulation Conference (WSC).
[30] Prabir Barooah,et al. Energy-efficient control of under-actuated HVAC zones in commercial buildings , 2015 .
[31] Luis M. Candanedo,et al. Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models , 2016 .
[32] Hua Li,et al. Indoor occupancy estimation from carbon dioxide concentration , 2016, ArXiv.
[33] Charles Brown,et al. Air Pollution Control Technology Handbook , 2001 .
[34] P. Nafstad,et al. Occupancy density and benefits of demand-controlled ventilation in Norwegian primary schools , 2005 .