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Volumn 53, Issue 3, 2010, Pages 863-870

Prediction of indoor climate and long-term air quality using the BTA-AQP model: Part I. BTA model development and evaluation

Author keywords

Air quality; Building thermal analysis (BTA); Indoor climate; Nash Sutcliffe model efficiency

Indexed keywords

A-COEFFICIENT; CAPACITANCE MODEL; GENERALIZED REGRESSION NEURAL NETWORKS; GRAPHICAL PRESENTATIONS; GROWTH CYCLE; INDEX OF AGREEMENTS; INDOOR AIR TEMPERATURE; INDOOR CLIMATE; INDOOR TEMPERATURE; MANURE STORAGES; MEAN ABSOLUTE ERROR; MODEL DEVELOPMENT; MODEL EFFICIENCY; PREDICTIVE MODELS; RESIDUAL VALUE; SET-POINT TEMPERATURES; THERMAL ANALYSIS; THERMO-PHYSICAL PROPERTY; TRANSIENT BEHAVIOR; TYPICAL METEOROLOGICAL YEAR; VENTILATION RATE;

EID: 77954126682     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (24)
  • 1
    • 0000924028 scopus 로고    scopus 로고
    • Dynamic model for ammonia volatilization in housing with partially slatted floors, for fattening pigs
    • Aarnink, A. J. A., and A. Elzing. 1998. Dynamic model for ammonia volatilization in housing with partially slatted floors, for fattening pigs. Livestock Prod. Sci. 53(2):153-169.
    • (1998) Livestock Prod. Sci. , vol.53 , Issue.2 , pp. 153-169
    • Aarnink, A.J.A.1    Elzing, A.2
  • 2
    • 32244433643 scopus 로고
    • Chapter 5: Steady-state energy and mass balance
    • St, Joseph, Mich.: ASAE
    • Albright, L. D. 1990. Chapter 5: Steady-state energy and mass balance. In Environment Control for Animals and Plants, 143-172. St. Joseph, Mich.: ASAE.
    • (1990) Environment Control for Animals and Plants , pp. 143-172
    • Albright, L.D.1
  • 3
    • 0027594152 scopus 로고
    • Criteria for evaluation of watershed models
    • ASCE
    • ASCE. 1993. Criteria for evaluation of watershed models. J. Irrig. Drainage Eng. 119(3):429-442.
    • (1993) J. Irrig. Drainage Eng. , vol.119 , Issue.3 , pp. 429-442
  • 4
    • 11144296280 scopus 로고    scopus 로고
    • Fan assessment numeration system (FANS) design and calibration specifications
    • Gates, R. S., K. D. Casey, H. Xin, E. F. Wheeler, and J. D. Simmons. 2004. Fan Assessment Numeration System (FANS) design and calibration specifications. Trans. ASAE 47(5):1709-1715.
    • (2004) Trans. ASAE , vol.47 , Issue.5 , pp. 1709-1715
    • Gates, R.S.1    Casey, K.D.2    Xin, H.3    Wheeler, E.F.4    Simmons, J.D.5
  • 6
    • 0037199366 scopus 로고    scopus 로고
    • Modeling nitrate losses in drainage water using DRAINMOD 5.0
    • Helweig, T. G., C. A. Madramootoo, and G. T. Dodds. 2002. Modeling nitrate losses in drainage water using DRAINMOD 5.0. Agric. Water Mgmt. 56(2):153-168.
    • (2002) Agric. Water Mgmt , vol.56 , Issue.2 , pp. 153-168
    • Helweig, T.G.1    Madramootoo, C.A.2    Dodds, G.T.3
  • 8
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models: Part 1. A discussion of principles
    • Nash, J. E., and J. V. Sutcliffe. 1970. River flow forecasting through conceptual models: Part 1. A discussion of principles. J. Hydrol. 10(3):282-290.
    • (1970) J. Hydrol , vol.10 , Issue.3 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 9
    • 0034253073 scopus 로고    scopus 로고
    • Development and validation of a dynamic mathematical model of ammonia release in pig houses
    • Ni, J., J. Hendriks, C. Vinckier, and J. Coenegrachts. 2000. Development and validation of a dynamic mathematical model of ammonia release in pig houses. Environ. Intl. 26 (1-2) : 97-104.
    • (2000) Environ. Intl. , vol.26 , Issue.1-2 , pp. 97-104
    • Ni, J.1    Hendriks, J.2    Vinckier, C.3    Coenegrachts, J.4
  • 10
    • 33845612676 scopus 로고    scopus 로고
    • Modeling source gaseous emissions in a pig house with recharge pit
    • Kai, P., B. Kaspers, and T. van Kempen. 2006. Modeling source gaseous emissions in a pig house with recharge pit. Trans. ASABE 49(5):1479-1485.
    • (2006) Trans. ASABE , vol.49 , Issue.5 , pp. 1479-1485
    • Kai, P.1    Kaspers, B.2    Van Kempen, T.3
  • 11
    • 77954095585 scopus 로고    scopus 로고
    • Matlab, Version 5.0. Natick, Mass.: The Math Works, Inc
    • Matlab. 1999. User's dynamic system simulation software. Version 5.0. Natick, Mass.: The Math Works, Inc.
    • (1999) User's Dynamic System Simulation Software
  • 12
    • 0242283044 scopus 로고    scopus 로고
    • Building thermal performance analysis by using Matlab/Simulink
    • International Building Performance Simulation Association
    • Mendes, N., G. H. C. Oliveira, and H. X. de Araújo. 2001. Building thermal performance analysis by using Matlab/Simulink. In Proc. 7th Intl. IBPSA Conf. on Building Simulation, 473-480. International Building Performance Simulation Association.
    • (2001) Proc. 7th Intl. IBPSA Conf. on Building Simulation , pp. 473-480
    • Mendes, N.1    Oliveira, G.H.C.2    De Araújo, H.X.3
  • 13
    • 34247146033 scopus 로고    scopus 로고
    • The simulation of transients in thermal plant: Part I. Mathematical model
    • Morini, G. L., and S. Piva. 2007. The simulation of transients in thermal plant: Part I. Mathematical model. Applied Thermal Eng. 27 (11-12) : 2138-2144.
    • (2007) Applied Thermal Eng. , vol.27 , Issue.11-12 , pp. 2138-2144
    • Morini, G.L.1    Piva, S.2
  • 15
    • 0033101569 scopus 로고    scopus 로고
    • Thermal transients in buildings: Development and validation of a numerical model
    • Nannei, E., and C. Schenone. 1999. Thermal transients in buildings: Development and validation of a numerical model. Energy and Buildings 29(3):209-215.
    • (1999) Energy and Buildings , vol.29 , Issue.3 , pp. 209-215
    • Nannei, E.1    Schenone, C.2
  • 16
    • 72149099601 scopus 로고    scopus 로고
    • NSRDB, Golden, Colo.: National Renewable Energy Laboratory
    • NSRDB. 2008. Users Manual for TMY3 Data Sets. Golden, Colo.: National Renewable Energy Laboratory.
    • (2008) Users Manual for TMY3 Data Sets
  • 18
    • 0001722522 scopus 로고    scopus 로고
    • Diurnal and annual variation of odor emission from animal houses: A model calculation for fattening pigs
    • Schauberger, G., M. Piringer, and E. Petz. 1999. Diurnal and annual variation of odor emission from animal houses: A model calculation for fattening pigs. J. Agric. Eng. Res. 74(3):251-259.
    • (1999) J. Agric. Eng. Res. , vol.74 , Issue.3 , pp. 251-259
    • Schauberger, G.1    Piringer, M.2    Petz, E.3
  • 20
    • 33749247555 scopus 로고    scopus 로고
    • Multiple linear regression and artificial neural network based on principal components to predict ozone concentrations
    • Sousa, S. I. V., F. G. Martins, M. C. M. Alvim-Ferraz, and M. C. Pereira. 2007. Multiple linear regression and artificial neural network based on principal components to predict ozone concentrations. Environ. Modeling and Software 22(1):97-103.
    • (2007) Environ. Modeling and Software , vol.22 , Issue.1 , pp. 97-103
    • Sousa, S.I.V.1    Martins, F.G.2    Alvim-Ferraz, M.C.M.3    Pereira, M.C.4
  • 21
    • 77954104675 scopus 로고    scopus 로고
    • Prediction of indoor climate and long-term air quality using the BTA-AQP model: Part II. Overall model evaluation and application
    • Sun, G., and S. J. Hoff. 2010. Prediction of indoor climate and long-term air quality using the BTA-AQP model: Part II. Overall model evaluation and application. Trans. ASABE 53(3):871-881.
    • (2010) Trans. ASABE , vol.53 , Issue.3 , pp. 871-881
    • Sun, G.1    Hoff, S.J.2
  • 22
    • 44449122355 scopus 로고    scopus 로고
    • Development and comparison of backpropagation and generalized regression neural network models to predict diurnal and seasonal gas and PM10 concentrations and emissions from swine buildings
    • Sun, G., S. J. Hoff, B. C. Zelle, and M. A. Nelson. 2008a. Development and comparison of backpropagation and generalized regression neural network models to predict diurnal and seasonal gas and PM10 concentrations and emissions from swine buildings. Trans. ASABE 51(2):685-694.
    • (2008) Trans. ASABE , vol.51 , Issue.2 , pp. 685-694
    • Sun, G.1    Hoff, S.J.2    Zelle, B.C.3    Nelson, M.A.4
  • 23
    • 44449091036 scopus 로고    scopus 로고
    • Forecasting daily source air quality using multivariate statistical analysis and radial basis function networks
    • Sun, G., S. J. Hoff, B. C. Zelle, and M. A. Nelson. 2008b. Forecasting daily source air quality using multivariate statistical analysis and radial basis function networks. J. Air and Waste Mgmt. Assoc. 58(12):1571-1578.
    • (2008) J. Air and Waste Mgmt. Assoc. , vol.58 , Issue.12 , pp. 1571-1578
    • Sun, G.1    Hoff, S.J.2    Zelle, B.C.3    Nelson, M.A.4
  • 24
    • 0020386641 scopus 로고
    • Some comments on the evaluation of model performance
    • Willmott, C. J. 1982. Some comments on the evaluation of model performance. Bull. American Meteorol. Soc. 63(11):1309-1313.
    • (1982) Bull. American Meteorol. Soc. , vol.63 , Issue.11 , pp. 1309-1313
    • Willmott, C.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.