BES를 사용한 에너지 절감형 양돈장의 지열히트펌프 적정용량 산정
Estimation of Adequate Capacity of Ground Source Heat Pump in Energy-saving Pig Farms Using Building Energy Simulation
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In Korea, attention is being paid to the use of renewable energy in the livestock industry, and Ground Source Heat Pump (GSHP), which isadvantageous for temperature control, is considered as one of the ways to reduce the use of fossil fuels. But GSHP is expensive to install, which propercapacity calculation is required. GSHP capacity is related to its maximum energy load. Energy loads are affected by climate characteristics and time,so dynamic analysis is required. In this study, the optimal capacity of GSHP was calculated by calculating the heating and cooling load of pig farmsusing BES (Building Energy Simulation) and economic analysis was performed. After designing the inside of the pig house using TRNSYS, one ofthe commercial programs of the BES technique, the energy load was calculated based on meteorological data. Through the calculated energy load, threeheating devices and GSHP used in pig farms were analyzed for economic feasibility. As a result, GSHP’s total cost of ownership was the cheapest,but the installation cost was the highest. In order to reduce the initial cost of GSHP, the capacity of GSHP was divided, and a scenario was createdin which some of it was used as an auxiliary heating device, and economic analysis was conducted. In this study, a method to calculate the propercapacity of GSHP through dynamic energy analysis was proposed, and it can be used as data necessary to expand the spread of GSHP.
Abstract
In Korea, attention is being paid to the use of renewable energy in the livestock industry, and Ground Source Heat Pump (GSHP), which isadvantageous for temperature control, is considered as one of the ways to reduce the use of fossil fuels. But GSHP is expensive to install, which propercapacity calculation is required. GSHP capacity is related to its maximum energy load. Energy loads are affected by climate characteristics and time,so dynamic analysis is required. In this study, the optimal capacity of GSHP was calculated by calculating the heating and cooling load of pig farmsusing BES (Building Energy Simulation) and economic analysis was performed. After designing the inside of the pig house using TRNSYS, one ofthe commercial programs of the BES technique, the energy load was calculated based on meteorological data. Through the calculated energy load, threeheating devices and GSHP used in pig farms were analyzed for economic feasibility. As a result, GSHP’s total cost of ownership was the cheapest,but the installation cost was the highest. In order to reduce the initial cost of GSHP, the capacity of GSHP was divided, and a scenario was createdin which some of it was used as an auxiliary heating device, and economic analysis was conducted. In this study, a method to calculate the propercapacity of GSHP through dynamic energy analysis was proposed, and it can be used as data necessary to expand the spread of GSHP.
참고문헌 (46)
- Andrés, S., "Epidemiology of subclinical salmonellosis in wild birds from an area of high prevalence of pig salmonellosis : Phenotypic and genetic profiles of Salmonella isolates", Zoonoses and Public Health, 60(5), pp.355~365 (2013)[DOI]
- Axaopoulos, P., "Optimization of Exterior Wall and Roof Insulation Thickness of a Growing-Finishing Piggery Building", Transactions of the ASABE, 60(2), pp.489~495 (2017), American Society of Agricultural and Biological Engineers (ASABE)[DOI]
- Denis Bourgeois, "Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control", Energy and Buildings, 38(7), pp.814~823 (2006), Elsevier BV[DOI]
- Julien Bouyer, "Microclimatic coupling as a solution to improve building energy simulation in an urban context", Energy and Buildings, 43(7), pp.1549~1559 (2011), Elsevier BV[DOI]
- Brunner, T., "Untersuchung geeigneter Regelungsstrategien für thermisch aktive Decken in Bürogebäuden mit Hilfe der Computersimulation und dem Ziel der Nutzung von Umweltenergie" (1999), diplom. de
- A Study on the Conversion of Energy Sources for Facilities and Livestock Farmers, "Cho, S. M.", Korea Energy Economics Institute, ~, pp.Research paper 11-03 (2011)
- 최희철, "지열 난방시스템을 이용한 분만돈사의 난방효과 분석", 축산시설환경학회지, 16(3), pp.205~214 (2010), (사)한국축산환경학회
- Eom, H. J., "Beware of swine respiratory diseases in winter", Journal of Korea Feed Ingredients Association, 4(11), pp.106~110 (2006)
- Felipe Napolitano da Fonseca, "Automatic prediction of stress in piglets (Sus Scrofa) using infrared skin temperature", Computers and Electronics in Agriculture, 168, pp.105148~ (2020), Elsevier BV[DOI]
- 하태환, "BES 기법을 이용한 육계사 내부 고온 스트레스 평가를 위한 THI 지수 모의", 한국농공학회논문집, 60(2), pp.75~84 (2018), 한국농공학회[DOI]
- Reda Hassanien Emam Hassanien, "Advanced applications of solar energy in agricultural greenhouses", Renewable and Sustainable Energy Reviews, 54, pp.989~1001 (2016), Elsevier BV[DOI]
- Heating and cooling with a focus on increased energy efficiency and improved comfort, "IEA", 6~8, pp.EXBCS Annex 37 (2010)
- Kim, J. H., "The selection of input value of the solar hot water system in energy#", The Society of Air-Conditioning and Refrigerating Engineers of Korea, 29(6), pp.575~578 (2017)
- Cooling and heating are solved in one shot through efficient use of geothermal energy, 28. Rural Research Institute focus, "Kim, J. S.", Korea Rural Development Administration, ~ (2014)
- 권경석, "BES 수치모델을 이용한 사육 밀도별 가금류 고온 스트레스 평가", 한국산학기술학회논문지, 20(1), pp.456~463 (2019), 한국산학기술학회[DOI]
- Lee, J. W., "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements", The Journal of Renewable Energy, 50, pp.522~531 (2013)[DOI]
- 이민형, "BES를 이용한 연동형 온실의 냉·난방 부하 산정 및 PV 시스템 발전 성능 분석", 생물환경조절학회지, 26(4), pp.258~267 (2017), (사) 한국생물환경조절학회
- 이성복, "BES 프로그램을 이용한 국내 대표적 대형온실의 에너지 부하 예측", 한국농공학회논문집, 54(3), pp.113~124 (2012), 한국농공학회[DOI]
- Hao Li, "Numerical study on the convective heat transfer of fattening pig in groups in a mechanical ventilated pig house", Computers and Electronics in Agriculture, 149, pp.90~100 (2018), Elsevier BV[DOI]
- P.G. Loutzenhiser, "Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation", Solar Energy, 81(2), pp.254~267 (2007), Elsevier BV[DOI]
- Marko Mancic, "Optimization of a polygeneration system for energy demands of a livestock farm", Thermal Science, 20(suppl. 5), pp.1285~1300 (2016), National Library of Serbia[DOI]
- Martin, I., "Parametric analysis of a solar heating system for agricultural greenhouse with dynamic simulation in TRNSYS", The Asian Conference on Sustainability, Energy and the Environment 2012 (2012)
- Ministry of Agriculture Food and Rural Affairs, "Major Statistical Indicators of Agricultural and Livestock Products", 5~6 (2019)
- "MWPS-8, Swine housing and equipment handbook", Cornell University, ~ (1983)
- National Greenhouse Gas Inventory Report of Korea, "National Center for Greenhouse Gas Inventory & Research", ~, pp.National Statistics-115018 (2019)
- 오서영, "고온스트레스가 일반 양돈농가의 돼지 생산성 및 생리 변화에 미치는 영향", 한국산학기술학회논문지, 18(7), pp.130~139 (2017), 한국산학기술학회[DOI]
- Yiqun Pan, "Calibrated building energy simulation and its application in a high-rise commercial building in Shanghai", Energy and Buildings, 39(6), pp.651~657 (2007), Elsevier BV[DOI]
- Park, D. S., "Analysis of hybrid district heating system integrating with renewable energy by TRNSYS", The Society of Air-Conditioning and Refrigerating Engineers of Korea, 39(1), pp.11~14 (2019)
- Park, J. U., "TRNSYS simulation study for assessing energy performance of solar low energy house", Proceedings of 2002 KSES International Symposium Paper, pp.275~281 (2002)
- 박지연, "농업분야 신재생에너지 보급현황 및 파급효과 분석", 한국산학기술학회논문지, 20(1), pp.224~235 (2019), 한국산학기술학회[DOI]
- Leen Peeters, "Thermal comfort in residential buildings: Comfort values and scales for building energy simulation", Applied Energy, 86(5), pp.772~780 (2009), Elsevier BV[DOI]
- Agricultural Management-Development and Prospect of Agricultural Technology-Livestock, Nongsaro - Planting Technology Information, "Rural Development Administration", ~ (2014)
- Pig-Weaning pig specification management, Planting Technology Information, "Rural Development Administration", ~ (2014)
- Rural Development Administration, "Weekly farming information 39", orea Rural Development Administration, ~ (2019)
- Il-Hwan Seo, "BES COMPUTATION FOR PERIODICAL ENERGY LOAD OF GREENHOUSE WITH GEOTHERMAL HEATING SYSTEM", Acta Horticulturae, (1037), pp.113~118 (2014), International Society for Horticultural Science (ISHS)[DOI]
- 심성희, "축산업의 에너지 소비 및 연료연소에 의한 온실가스 배출 특성", 한국기후변화학회지, 6(4), pp.267~276 (2015), 한국기후변화학회[DOI]
- Dennis D. Soerensen, "Determining the emissivity of pig skin for accurate infrared thermography", Computers and Electronics in Agriculture, 109, pp.52~58 (2014), Elsevier BV[DOI]
- Peng Wang, "Thermal balance analysis of activated-sludge process for pig slurry treatment", Biosystems Engineering, 116(4), pp.368~378 (2013), Elsevier BV[DOI]
- Yang, H., "Study of typical meteorological years and their effect on building energy and renewable energy simulations", ASHRAE Transactions, 110(2), pp.424~431 (2004)
- Zanaty, H. E., "A techno-economic study for heating poultry houses using renewable energy", Master, pp.2009
- Sheng Zhang, "A multi-criterion renewable energy system design optimization for net zero energy buildings under uncertainties", Energy, 94, pp.654~665 (2016), Elsevier BV[DOI]
- Jie Zhao, "Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining", Energy and Buildings, 82, pp.341~355 (2014), Elsevier BV[DOI]
- Zhou, Y., "Direct geothermal energy : Reducing the poultry industries carbon footprint", Ph.D, pp.2019