Development of Greenhouse Cooling and Heating Load Calculation Program Based on Mobile

Winter heating costs is a large proportion of the economy in the account of farmers in cold regions, which can be solved exactly by rice straw brick house. Because the rice straw brick house has many advantages, such as turning waste into treasure, cleaning up the environment and saving heating costs. In this paper, a rice straw brick house and a common brick house have been theoretically designed with the same size and in the same area. The heating load calculation, construction cost, operating costs and social benefits have been compared between the two. From the comprehensive results, the performance of the rice straw brick house is superior to that of the common red brick house

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Comparative Analysis of Accumulated Temperature for Seasonal Heating Load Calculation in Greenhouses

Protected horticulture and Plant Factory ◽

10.12791/ksbec.2014.23.3.192 ◽

2014 ◽

Vol 23 (3) ◽

pp. 192-198 ◽

Cited By ~ 3

Author(s):

Sang-Woon Nam ◽

운 남상 ◽

Hyun-Ho Shin ◽

Dong-Uk Seo ◽

호 신현 ◽

...

Keyword(s):

Comparative Analysis ◽

Load Calculation ◽

Heating Load ◽

Accumulated Temperature

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Simulation and Research of Heating Load about Residential Construction Based on Zhengzhou

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.424-425.159 ◽

2012 ◽

Vol 424-425 ◽

pp. 159-161

Author(s):

Hui Fan Zheng ◽

Jian Bo Wu ◽

Lan Yu Huang

Keyword(s):

Load Distribution ◽

Air Conditioning ◽

Residential Building ◽

Residential Construction ◽

Daily Maximum ◽

Air Conditioning System ◽

Load Calculation ◽

Building Load ◽

Heating Load ◽

Maximum Heating

With a typical residential construction in Zhengzhou, basing on the DEST software, a residential building load calculation program has been established. The hourly heating load has been simulation calculated about the residential construction, and the load distribution characteristics has been analyzed basing on calculation, it is found that daily maximum heating load is mainly concentrated on between 6:00 to 8:00. Through the load distribution that the proportion of part-load operation can reach to 75% or more, and the study provided technical support for the controlled program about the winter air-conditioning system

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ANALISIS BEBAN PENDINGINAN PADA COLD STORAGE UNTUK PENYIMPANAN DAGING

JURNAL ILMIAH TEKNIK MESIN ◽

10.33558/jitm.v7i1.1905 ◽

2019 ◽

Vol 7 (1) ◽

pp. 12-22

Author(s):

Ratu Mutia Fajarani ◽

Yopi Handoyo ◽

Raden Hengki Rahmanto

Keyword(s):

Experimental Method ◽

Cold Storage ◽

Freezing Point ◽

Cooling Load ◽

Internal Factors ◽

External Cooling ◽

Preservation Method ◽

Load Calculation ◽

Selection Of

Cooling is the best preservation method than others because the food that has been cooled will remain fresh and will not experience a change in taste, color and aroma, besides all the activities that cause decay will stop so that the cooled food will last longer. (Hartanto, 1984). With the proper cooling engine planning, it can help with spatial adjustments, adjustments to loading, estimation of the power to be used, and budget plans. That is what is commonly called the cooling load calculation. Calculation of cooling load needs to be carried out before planning. This is necessary because the magnitude of the pending load is very influential on the selection of the cooling engine so that the freezing point for preserving food can be accurate. Pendiginan burden is influenced by external and internal factors. With the experimental method, it is obtained the results of the external cooling load as the external cooling load is 11.6 kW, the inner cooling load is 138.8 kW and the performance work coefficient (COP) is 2.

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Managing the variability of wind energy with heating load control

IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007) ◽

10.1049/ic:20070779 ◽

2007 ◽

Author(s):

B. Fox

Keyword(s):

Wind Energy ◽

Load Control ◽

Heating Load

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Real operation data analysis on district heating load patterns

Energy ◽

10.1016/j.energy.2017.04.079 ◽

2017 ◽

Vol 129 ◽

pp. 70-78 ◽

Cited By ~ 39

Author(s):

Michel Noussan ◽

Matteo Jarre ◽

Alberto Poggio

Keyword(s):

Data Analysis ◽

District Heating ◽

Heating Load

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Exergy-Based Ecological Optimization of an Irreversible Quantum Carnot Heat Pump with Spin-1/2 Systems

Journal of Non-Equilibrium Thermodynamics ◽

10.1515/jnet-2020-0028 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Xiaowei Liu ◽

Lingen Chen ◽

Yanlin Ge ◽

Huijun Feng ◽

Feng Wu ◽

...

Keyword(s):

Heat Pump ◽

Performance Comparison ◽

Ecological Function ◽

Performance Characteristics ◽

Numerical Examples ◽

Ecological Performance ◽

Special Cases ◽

Heating Load ◽

Ecological Optimization

AbstractBased on an irreversible quantum Carnot heat pump model in which spin-1/2 systems are used as working substance, an exergy-based ecological function and some other important parameters of the model heat pump are derived. Numerical examples are provided to investigate its ecological performance characteristics. The influences of various irreversibility factors on the ecological performance are discussed. Performance comparison and discussion among maximum points of ecological function, heating load, and so on, are conducted. At last, three special cases are discussed.

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Data augmentation strategy for short-term heating load prediction model of residential building

Energy ◽

10.1016/j.energy.2021.121328 ◽

2021 ◽

pp. 121328

Author(s):

Yakai Lu ◽

Zhe Tian ◽

Qiang Zhang ◽

Ruoyu Zhou ◽

Chengshan Chu

Keyword(s):

Prediction Model ◽

Data Augmentation ◽

Residential Building ◽

Load Prediction ◽

Short Term ◽

Augmentation Strategy ◽

Heating Load

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Optimization method of hourly heat load calculation model for heat storage air-conditioning heating system in different climate zones

Energy Exploration & Exploitation ◽

10.1177/01445987211005218 ◽

2021 ◽

pp. 014459872110052

Author(s):

Yuechao Liu ◽

Dong Guo ◽

Min Zhou ◽

Shanshan Wu ◽

Dongmei Li

Keyword(s):

Heat Load ◽

Air Conditioning ◽

Heat Storage ◽

Heating System ◽

Optimization Method ◽

Calculation Model ◽

Climate Zones ◽

Load Calculation ◽

Typical Day ◽

Additional Coefficient

One optimization method of hourly heat load calculation model for heat storage air-conditioning heating system in different climate zones was proposed. A building model is initially built in six different climate zones. Subsequently, the hourly heat load and steady-state design heat load in different climate zones were analyzed. Simultaneously, the hourly heat load additional coefficient of the air-conditioning system with different heating modes on a typical day was compared. It can be found that steady-state design heat load on a typical day is mostly between the peak load and average load of the air-conditioning heating system. Simultaneously, results indicate that the hourly heat load additional coefficient in each climate zone can be fitted to different exponential functions. When the heat storage capacity of building components was changed, the maximum increase of the hourly heat load additional coefficient of the air-conditioning system with intermittent heating was 5%. Thus, the research of the optimal design of hourly heat load calculation method provides a relative reference for performance improvement of the heat storage air-conditioning heating system.

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