Analysis of the Influence Factors of Energy Consumption in Pharmaceutical Industry

2014 ◽  
Vol 977 ◽  
pp. 170-173
Author(s):  
Xin Li ◽  
Rui Ying Jia ◽  
Run Ping Niu
Keyword(s):  
Energy Consumption ◽  
Pharmaceutical Industry ◽  
Air Conditioning ◽  
Influence Factors ◽  
Analysis Method ◽  
Air Conditioning System ◽  
Clean Air ◽  
Single Factor Analysis ◽  
The Impact ◽  
The Relationship

Abstract. Influence factors of energy consumption of air conditioning system in pharmaceutical industry had a perplexing relationship. The impact of energy consumption would have certain difference under different boundary conditions. The single factor analysis of energy consumption on the clean air conditioning system can not accurately reflect the significant level. Therefore, in the paper, orthogonal test and variance analysis method were adopt to determine the relationship between primary and secondary influence factors from ten major influencing factors on the clean air conditioning system in pharmaceutical industry which can guide the research on energy consumption.

Research on Energy Saving Diagnosis of Clean Air Conditioning System in Pharmaceutical Industry

2014 ◽  
Vol 977 ◽  
pp. 174-177
Author(s):  
Xin Li ◽  
Rui Ying Jia ◽  
Run Ping Niu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Pharmaceutical Industry ◽  
Energy Saving ◽  
Air Conditioning ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Air Conditioning System ◽  
Clean Air

The purpose of building energy efficiency diagnosis was to find out the problems existing in the process of using energy and analysis the potential of energy saving to guide the owner who should improve the building energy efficiency as far as possible to reduce building energy consumption. This paper involves only the research on energy saving diagnosis of clean air conditioning system in pharmaceutical industry.

Energy Saving Analysis of Clean Air Conditioning System in Pharmaceutical Company

2014 ◽  
Vol 977 ◽  
pp. 166-169
Author(s):  
Xin Li ◽  
Xin Yu Ma ◽  
Ya Fei Hao
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Pharmaceutical Company ◽  
Air Conditioning ◽  
Northern China ◽  
Air Conditioning System ◽  
Freeze Dried ◽  
Before And After ◽  
Clean Air ◽  
High Level

The pharmaceutical industry building adopts the centralized air conditioning system with the characteristics of complicated structure, numerous equipments, relatively concentrated, high level of energy consumption, flexibility larger. In this paper, a clean air conditioning system of freeze-dried powder production workshop at a pharmaceutical company in northern China was been as an example. Energy consumption before and after the use of energy saving technology was been compared. The energy consumption and energy efficiency was been argument. It was a very good reference to other pharmaceutical companies.

Simulation Analysis on Dynamic Load of Air-Conditioning System of Ocean-Going Ship

2014 ◽  
Vol 672-674 ◽  
pp. 1693-1699 ◽  
Author(s):  
Zhong Chao Zhao ◽  
Hua Cheng ◽  
Wei Xian Feng ◽  
Bo Jin Qin
Keyword(s):  
Dynamic Load ◽  
Air Conditioning ◽  
Simulation Analysis ◽  
Mathematic Model ◽  
Maximum Load ◽  
Impact Factors ◽  
Analysis Method ◽  
Total Load ◽  
Air Conditioning System ◽  
The Impact

In this paper, a dynamic load mathematic model for ship’s multifunctional cabins was developed using the “black box model” theory. The multifunctional cabins’ dynamic loads for a ship navigating in a typical Eurasian route were calculated through this mathematic model. The research results show that the air-conditioning load of cabins varies with navigation areas and sailing time significantly. Ventilation load accounts for 51.92% of the total load, while heat conduction and radiation load only account for 7.47% and 6.68%, respectively. For a same navigating area, the maximum load for different cabins is 2.648 times of the minimum load at the same time. In addition, the impact factors were analyzed by regression analysis method, and that the 91.72% of variation of the dynamic load results from the outside temperature changing

LCA of the Clean Air Conditioning System in Pharmaceutical Industry

2014 ◽  
Vol 644-650 ◽  
pp. 6343-6346 ◽  
Author(s):  
Xin Li ◽  
Rui Ying Jia ◽  
Jia Jia Hou
Keyword(s):  
Life Cycle ◽  
Pharmaceutical Industry ◽  
Energy Saving ◽  
Air Conditioning ◽  
Life Cycle Stage ◽  
Air Conditioning System ◽  
Pharmaceutical Factory ◽  
Minimal Impact ◽  
Clean Air ◽  
Energy Saving Technology

In this paper, the air conditioning system in pharmaceutical industry throughout the life cycle energy efficiency had been evaluated according to the SETAC and ISO had put forward the idea of "life cycle assessment. The purpose was to adopt reasonable measures of energy saving technology to minimum the energy consumption to the clean air conditioning system and minimal impact on the environment load. At the same time, the economy was reasonable. Clean air conditioning wind system in a pharmaceutical factory was been as an example. The energy saving renovation of clean air conditioning system and the effect of energy saving renovation were analyzed. CO2 emissions were analyzed in its life cycle stage which provided a reference for other engineering.

scholarly journals Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 344
Author(s):  
Alejandro Humberto García Ruiz ◽  
Salvador Ibarra Martínez ◽  
José Antonio Castán Rocha ◽  
Jesús David Terán Villanueva ◽  
Julio Laria Menchaca ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Energy Saving ◽  
User Satisfaction ◽  
Air Conditioning ◽  
State Of The Art ◽  
User Preferences ◽  
The State ◽  
Nsga Ii ◽  
Air Conditioning System

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.

scholarly journals The Relationship between Economic Growth and Pollution in Some New European Union Member States: A Dynamic Panel ARDL Approach

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Ghg Emissions ◽  
Kuznets Curve ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Domestic Credit ◽  
The Impact ◽  
The Relationship

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

scholarly journals The Analysis for Energy Consumption of Marine Air Conditioning System Based on VAV and VWV

2018 ◽  
Vol 38 ◽  
pp. 04012
Author(s):  
Sai Feng Xu ◽  
Xing Lin Yang ◽  
Zou Ying Le
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Water Volume ◽  
Pump System ◽  
Air Conditioning System ◽  
Variable Air Volume ◽  
Air Volume ◽  
Marine Air ◽  
Variable Water

For ocean-going vessels sailing in different areas on the sea, the change of external environment factors will cause frequent changes in load, traditional ship air-conditioning system is usually designed with a fixed cooling capacity, this design method causes serious waste of resources. A new type of sea-based air conditioning system is proposed in this paper, which uses the sea-based source heat pump system, combined with variable air volume, variable water technology. The multifunctional cabins’ dynamic loads for a ship navigating in a typical Eurasian route were calculated based on Simulink. The model can predict changes in full voyage load. Based on the simulation model, the effects of variable air volume and variable water volume on the energy consumption of the air-conditioning system are analyzed. The results show that: When the VAV is coupled with the VWV, the energy saving rate is 23.2%. Therefore, the application of variable air volume and variable water technology to marine air conditioning systems can achieve economical and energy saving advantages.

The Impact of Rural Finance on Rural Economic Development from the Perspective of Efficiency of Discrete Differential Algorithm

2021 ◽  
Vol 7 (5) ◽  
pp. 4358-4365
Author(s):  
Mingxu Peng ◽  
Jiawen Huang
Keyword(s):  
Economic Growth ◽  
Rural Economy ◽  
Choice Model ◽  
Influence Factors ◽  
Maximum Flow ◽  
Pso Algorithm ◽  
Significant Degree ◽  
Theoretical Research ◽  
The Impact ◽  
The Relationship

Objectives: Finance is the core of the national economy. The development of modern rural economy is inseparable from financial support. The relationship between finance and economic growth has always been one of the hot topics in theoretical research and empirical analysis. Methods: Under the background of the development of Internet e-commerce, the maximum flow algorithm was based on the empirical research on the relationship between China’s financial development and economic growth. Results: Based on this, the two-element discrete choice model of Probit and Logistic for economic growth was constructed. Discrete particle swarm optimization (PSO) algorithm was used to estimate the parameters of the model. The significant degree of the influence factors was calculated. Conclusion: Finally, it was calculated that concurrent business was the decisive factor of economic growth.

Application Study of Load Forecasting of Central Air-Conditioning System Based on Time Sequence Analysis Method

2012 ◽  
Vol 220-223 ◽  
pp. 622-625
Author(s):  
Xue Li Zhu ◽  
Bo Dong ◽  
Yong Jun Zhu
Keyword(s):  
Sequence Analysis ◽  
Air Conditioning ◽  
Time Lag ◽  
Load Forecasting ◽  
Time Sequence ◽  
Analysis Method ◽  
Air Conditioning System ◽  
Central Air Conditioning ◽  
Heating Load ◽  
Time Sequence Analysis

With the characteristics of non-stationarity, non-linearity, time-lag of refrigeration/ heating supplying in minds, load forecasting of central air-conditioning system is carried using time sequence analysis method. Firstly, acquisition sample data of central air-conditioning system is pretreated, and random time sequence AR model of system is formulated. Then, forecasting of AR refrigeration/heating load based on Yule-walker method is conducted. In order to enhance forecasting accuracy, crossover forecasting is introduced into the load forecasting, that is, to use vertical forecasting to follow household demands for load and horizontal forecasting to track changes of weather. Then, weight cross is made to vertical and horizontal forecasting results. Finally, refrigeration/heating load forecasting software of central air-conditioning system is developed, which is used in energy-saving monitoring and control of central air-conditioning system.

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