Simplified Numerical Modeling of Energy Distribution in a Chinese Solar Greenhouse

2017 ◽  
Vol 33 (3) ◽  
pp. 291-304 ◽  
Author(s):  
Hui Xu ◽  
Yue Zhang ◽  
Tianlai Li ◽  
Rui Wang

Abstract.Solar greenhouses are widely used in northeast China to grow vegetables in winter. The energy consumption and distribution were determined in field experiments using a solar greenhouse in northeast China by monitoring the environmental factors inside and outside. Each surface inside greenhouse irradiated with incoming solar radiation was calculated. The greenhouse temperature including the front roof, north roof, north wall, canopy, and soil was calculated based on daily meteorological variables forecast by simulation modeling of each part and comparing with the results obtained using individual meteorological data under greenhouse conditions. Chinese greenhouse day and night energy consumption was calculated and compared. During the coldest days, the conduction energy reached 45% by day and 54% at night. The front roof accounted for the conduction energy loss (day: 54%, night: 68%). When the indoor temperature of the greenhouse was maintained above 15°C, the best time for greenhouse heating was around 5 a.m. and total coal consumption in three months was approximately 5.1 t. Results show that this numerical model simulated the various paths of greenhouse energy flow and heating processes. We estimated the specific daily coal consumption to define a comprehensive heating strategy. Keywords: Chinese greenhouse, Energy balance, Energy calculation model, Energy consumption analysis.

2011 ◽  
Vol 287-290 ◽  
pp. 1217-1220
Author(s):  
Ping Gong

The energy consumption of concrete is considered as the research object,and the life cycle theory is applied in the energy consumption analysis of concrete. the life cycle energy consumption inventory analysis of concrete is set up,the concrete’s whole life cycle is divided into four stage. Each stage’s energy consumption is carried out a detailed analysis. Based on the inventory analysis, an energy calculation model of concrete is established .


Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 376 ◽  
Author(s):  
Xuemin Liu ◽  
Hairui Yang ◽  
Junfu Lyu

To reduce the auxiliary power consumption and improve the reliability of large-scale circulating fluidized bed (CFB) boilers, we developed energy-saving CFB combustion technology based on the fluidization state re-specification. A calculation model of coal comminution energy consumption was used to analyze the change in comminution energy consumption, and a 1D CFB combustion model was modified to predict the operation parameters under the fluidization state optimization conditions. With a CFB boiler of 480 t/h, the effect of fluidization state optimization on the economical operation was analyzed using the above two models. We found that combustion efficiency presents a nonmonotonic trend with the change in the bed pressure drop and feeding coal size. There are an optimal bed pressure drop and a corresponding feeding coal size distribution, under which the net coal consumption is the lowest. Low bed pressure drop operation achieved by reducing the coal particle size is not beneficial to SO2 and NOx emission control, and the pollutant control cost increases. The effect of fluidization state optimization on the gross cost of power supply can be calculated, and the optimal bed pressure drop can be obtained.


2021 ◽  
Vol 271 ◽  
pp. 02012
Author(s):  
Wang Qiang ◽  
Jiang Li ◽  
Wang Yunlong ◽  
Wang Guotian ◽  
Zhang peng

In this paper, energy consumption models of retreaded engineering tires were constructed based on life cycle analysis, theoretical calculation model, and energy consumption method during the four stages of retreaded engineering tires, i.e., production, transportation, usage, and recycling stage. The energy substitute model and energy evaluation index during the recycling stage, which involves one of five classical retreaded engineering tire recycling methods, i.e., secondary retreading, mechanical smash, low-temperature smash, combustion decomposition, and combustion power generation, were presented. Life cycle energy analysis of retreaded engineering tires was conducted, and the energy consumption during the different life cycle stages was quantitatively analyzed, thus obtaining the energy restoration rate of the five classical recycling stages of retreaded engineering tires. Energy consumption analysis and energy evaluation at different stages were performed. Main conclusions indicate that the energy consumption during the production stage is the highest, and energy consumption during the transportation stage is the lowest. The energy recycling result of the secondary retreading or combustion decomposition of retreaded engineering tires is obtained.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1800
Author(s):  
Linfei Hou ◽  
Fengyu Zhou ◽  
Kiwan Kim ◽  
Liang Zhang

The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power consumption model can we accurately predict the power consumption of the robot. In order to increase the applicable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc. The model is derived from the kinematic and kinetic model combined with electrical engineering and energy flow principles. The model has been simulated in MATLAB and experimentally validated with the four-wheeled Mecanum robot platform in our lab. Experimental results show that the accuracy of the model reached 95%. The results of energy consumption modeling can help robots save energy by helping them to perform rational path planning and task planning.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3775 ◽  
Author(s):  
Khaled Bawaneh ◽  
Farnaz Ghazi Nezami ◽  
Md. Rasheduzzaman ◽  
Brad Deken

Healthcare facilities in the United States account for 4.8% of the total area in the commercial sector and are responsible for 10.3% of total energy consumption in this sector. The number of healthcare facilities increased by 22% since 2003, leading to a 21% rise in energy consumption and an 8% reduction in energy intensity per unit of area (544.8 kWh/m2). This study provides an analytical overview of the end-use energy consumption data in healthcare systems for hospitals in the United States. The energy intensity of the U.S. hospitals ranges from 640.7 kWh/m2 in Zone 5 (very hot) to 781.1 kWh/m2 in Zone 1 (very cold), with an average of 738.5 kWh/m2. This is approximately 2.6 times higher than that of other commercial buildings. High energy intensity in the healthcare facilities, particularly in hospitals, along with energy costs and associated environmental concerns make energy analysis crucial for this type of facility. The proposed analysis shows that U.S. healthcare facilities have higher energy intensity than those of most other countries, especially the European ones. This necessitates the adoption of more energy-efficient approaches to the infrastructure and the management of healthcare facilities in the United States.


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