An optimized solar-air degree-day method to evaluate energy demand for poultry buildings in different climate zones
Yang WANG, Baoming LI
An optimized solar-air degree-day method to evaluate energy demand for poultry buildings in different climate zones
The degree-day method is widely used to determine energy consumption but cannot be directly applied to poultry buildings without improvements in its accuracy. This study was designed to optimize the degree-day calculation and proposes a solar-air degree-day method, which can be used to calculate the cooling and heating degree-days and the annual cooling and heating loads under different climate conditions for poultry buildings. In this paper, the solar-air degree-day method was proposed, which considers the effects of solar radiation with different wall orientations and surface colors. Five Chinese cities, Harbin, Beijing, Chongqing, Kunming and Guangzhou, were selected to represent different climate zones to determine the solar-air degree-days. The heating and cooling energy requirements for different climates were compared by DeST (Designer’s Simulation Toolkit) simulation and the solar-air degree-day method. Approaches to decrease energy consumption were developed. The results showed that the maximum relative error was less than 10%, and the new method was not significantly different from the DeST simulation (P>0.05). The accuracy of calculating energy requirements was improved by the solar-air degree-day method in the different climate zones. Orientation and surface color effects on energy consumption need to be considered, and external walls of different orientations should have different surface colors.
base temperature / energy consumption / solar radiation / orientation / surface color
[1] |
Zhao Y, Xin H, Shepherd T A, Hayes M D, Stinn J P. Modelling ventilation rate, balance temperature and supplemental heat need in alternative vs. conventional laying-hen housing systems. Biosystems Engineering, 2013, 115(3): 311–323
CrossRef
Google scholar
|
[2] |
Wan K K W, Li D H W, Liu D, Lam J C. Future trends of building heating and cooling loads and energy consumption in different climates. Building and Environment, 2011, 46(1): 223–234
CrossRef
Google scholar
|
[3] |
Wang Y, Zheng W C, Shi H P, Li B M. Optimising the design of confined laying hen house insulation requirements in cold climates without using supplementary heat. Biosystems Engineering, 2018, 174: 282–294
CrossRef
Google scholar
|
[4] |
Oktay Z, Coskun C, Dincer I. A new approach for predicting cooling degree-hours and energy requirements in buildings. Energy, 2011, 36(8): 4855–4863
CrossRef
Google scholar
|
[5] |
Marta B G, María D B. Environmental and cost performance of building’s envelope insulation materials to reduce energy demand: thickness optimisation. Energy and Building, 2017, 150: 527–545
CrossRef
Google scholar
|
[6] |
Isaac M, Vuuren D P V. Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Policy, 2009, 37(2): 507–521
CrossRef
Google scholar
|
[7] |
Bhatnagar M, Mathur J, Garg V. Determining base temperature for heating and cooling degree-days for India. Journal of Building Engineering, 2018, 18: 270–280
CrossRef
Google scholar
|
[8] |
Mattia D R, Vincenzo B, Federico S, Luca A T. Heating and cooling building energy demands evaluation: a simplified model and a modified degree days approach. Applied Energy, 2014, 128: 217–229
CrossRef
Google scholar
|
[9] |
Yang L, Lam J C, Tsang C. Energy performance of building envelopes in different climate zones in China. Applied Energy, 2008, 85(9): 800–817
CrossRef
Google scholar
|
[10] |
Crawley D, Hand J, Kummert M, Griffith B T. Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 2008, 43(4): 661–673
CrossRef
Google scholar
|
[11] |
Zoltán V, Ákos L, Ferenc K. Prediction of energy demand for heating of residential buildings using variable degree day. Energy, 2014, 76: 780–787
CrossRef
Google scholar
|
[12] |
Yu J, Tian L, Yang C, Yang C, Xu X, Wang J. Optimum insulation thickness of residential roof with respect to solar-air degree-hours in hot summer and cold winter zone of china. Energy and Building, 2011, 43(9): 2304–2313
CrossRef
Google scholar
|
[13] |
Ministry of Construction of the People’s Republic of China. Code for Design of Civil Buildings (GB 50352-2005). Beijing: China Architecture and Building Press, 2012
|
[14] |
Yu J, Yang C, Tian L, Liao D. A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China. Applied Energy, 2009, 86(11): 2520–2529
CrossRef
Google scholar
|
[15] |
Ucar A, Balo F. Effect of fuel type on the optimum thickness of selected insulation materials for the four different climatic regions of Turkey. Applied Energy, 2009, 86(5): 730–736
CrossRef
Google scholar
|
[16] |
Ministry of Construction of the People’s Republic of China. Design Code for Heating Ventilation and Air Conditioning of Civil Buildings (GB 50736-2012). Beijing: China Architecture and Building Press, 2012
|
[17] |
Kocaman B, Esenbuga N, Yildiz A, Lacin E. Effect of environmental conditions in poultry houses on the performance of laying hens. International Journal of Poultry Science, 2006, 5(1): 26–30
CrossRef
Google scholar
|
[18] |
Olgun M M, Çelik M Y, Polat H E. Determining of heat balance design criteria for laying hen houses under continental climate conditions. Building and Environment, 2007, 42(1): 355–365
CrossRef
Google scholar
|
[19] |
Kreider J F. Handbook of Heating, Ventilation, and Air Conditioning. Boca Raton, USA: CRC Press (Taylor & Francis Group), 2001
|
[20] |
Yan D, Xia J, Tang W, Song F, Zhang X, Jiang Y. DeST—an integrated building simulation toolkit part I: fundamentals. Building Simulation, 2008, 1(2): 95–110
CrossRef
Google scholar
|
[21] |
Zhu D D, Yan D, Li Z. Modelling and applications of annual energy-using simulation module of separated heat pipe heat exchanger. Energy and Building, 2013, 57: 26–33
CrossRef
Google scholar
|
[22] |
Peng C, Wang L, Zhang X. DeST-based dynamic simulation and energy efficiency retrofit analysis of commercial buildings in the hot summer/cold winter zone of China: a case in Nanjing. Energy and Building, 2014, 78: 123–131
CrossRef
Google scholar
|
[23] |
Lorusso A, Maraziti F. Heating system projects using the degree-days method in livestock buildings. Journal of Agricultural Engineering Research, 1998, 71(3): 285–290
CrossRef
Google scholar
|
[24] |
Nawalany G, Bieda W, Radoń J. Effect of floor heating and cooling of bedding on thermal conditions in the living area of broiler chickens. Archiv für Geflügelkunde, 2010, 74: 98–101
|
[25] |
Shields S J, Garner J P, Mench J A. Effect of sand and wood-shavings bedding on the behavior of broiler chickens. Poultry Science, 2005, 84(12): 1816–1824
CrossRef
Pubmed
Google scholar
|
[26] |
Erbs D, Klein S, Beckman W. Sol-air heating and cooling degree-days. Solar Energy, 1984, 33(6): 605–612
CrossRef
Google scholar
|
[27] |
Dombaycı Ö A. Degree-days maps of Turkey for various base temperatures. Energy, 2009, 34(11): 1807–1812
CrossRef
Google scholar
|
[28] |
Büyükalaca O, Bulut H, Yilmaz T. Analysis of variable-base heating and cooling degree-days for Turkey. Applied Energy, 2001, 69(4): 269–283
CrossRef
Google scholar
|
/
〈 | 〉 |