Evaluation method for energy parameters and energy saving potential of oil reservoir pressure maintenance pumps operating beyond permissible limits

2021 ◽  
Vol 6 ◽  
pp. 35-38
Author(s):  
Rashid Kafiatullin
Keyword(s):  
Energy Saving ◽  
Evaluation Method ◽  
Evaluation Methodology ◽  
Design Parameters ◽  
Oil Reservoir ◽  
Reservoir Pressure ◽  
Original Design ◽  
Energy Parameters ◽  
Energy Saving Potential ◽  
Basic Parameters

Oil reservoir pressure maintenance pumps are often pushed to operate significantly outside of their original design parameters. This can cause operating problems which impact their reliability and efficiency. The author offers the evaluation methodology for energy parameters and energy saving potential of oil reservoir pressure maintenance pumps in order to develop major pump parameters like efficiency, pressure, and specific electric power. The methodology was tested on 42 pump units. The values of variations of basic parameters indicate the energy saving potential of pump units.

A simplified model for evaluating the energy saving potential of adopting demand controlled ventilation in office buildings in Hong Kong

2016 ◽  
Vol 27 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Jie Jia ◽  
Wai-Ling Lee ◽  
Hua Chen ◽  
Han Li
Keyword(s):  
Hong Kong ◽  
Energy Saving ◽  
Office Buildings ◽  
Simplified Model ◽  
Design Parameters ◽  
Subtropical Climate ◽  
Original Design ◽  
Energy Saving Potential ◽  
Controlled Ventilation ◽  
Demand Controlled Ventilation

Demand controlled ventilation (DCV) to conserve energy while maintaining an acceptable indoor environment has been used for over 30 years. However, little work has been done on evaluating its energy saving potential in cooling dominant office buildings in subtropical climate. In this study, the energy saving potential of DCV system for use in six representative office buildings in Hong Kong was investigated by simulations. Simulation validation was done based on in situ measurements and site surveys. The findings show that, based on their original design conditions, the use of DCV could lead to 12.5–26.1% energy saving. To facilitate quick estimation of the energy saving potential of DCV system, further simulations were performed for the development of a simplified model. The simplified model relates the energy saving potential to key air-conditioning system and design parameters. Based on the simplified model, sensitivity analysis was conducted to quantify the influences of different parameters on the energy saving potential of DCV system. The developed model method can be used for prediction on the energy saving potential in a wider application of DCV in Hong Kong.

An Assembly Constraint Model for Parameterized Mechanical Systems

1994 ◽  
Author(s):  
J. H. Wang ◽  
J. K. Wu
Keyword(s):  
Design Parameters ◽  
Change Propagation ◽  
Original Design ◽  
Constraint Equations ◽  
Mechanical Assemblies ◽  
Basic Parameters ◽  
Constraint Model ◽  
Assembly Constraints ◽  
First Order Predicates ◽  
Form Feature

Abstract This paper (1) introduces Natural Assembly Relationships (NARs) to model assembly constraints between parts and (2) analyzes the constraint relationships that are defined using NARs for parameterized mechanical assemblies. The NARs are expressed as first order predicates using primitive features as arguments, such as planar and cylindrical surfaces. The concept of Basic Parameters Set is introduced as the design parameters in CAD systems, which, together with a set of form feature constraint relationships, maintains maximal consistency with original design meanings. Based on NARs, part parameters, and primitive features, design parameter chains can be constructed for closed loop assemblies. From these chains, constraint equations can be derived, which are the basis for change propagation and information management for mechanical system design.

Assessment method of comprehensive energy saving potential of distribution network considering source-load power uncertainty

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Jialin Yang ◽  
Huina Li ◽  
Jizhou Li ◽  
Bin Hou ◽  
Yong Zhen
Keyword(s):  
Energy Saving ◽  
Index System ◽  
Power Flow ◽  
Loss Rate ◽  
Evaluation Method ◽  
Distribution Network ◽  
Maintenance Cost ◽  
Improvement Rate ◽  
Energy Saving Potential ◽  
Potential Evaluation

AbstractThe comprehensive energy-saving potential evaluation method of the energy-saving schemes of a distribution network considering the power uncertainty of source and load is studied in this paper. The K-means clustering method is firstly employed to extract typical scenarios of distribution network, and the forward-push back method is used to calculate the power flow in typical scenarios, then energy-saving reconstruction schemes are formulated according to the power flow calculation results. A comprehensive energy saving potential evaluation index system that consists the improvement rate of network loss, line loss rate, transformer loss rate, annual electricity saving cost, annual equipment investment cost, annual maintenance cost and voltage quality improvement rate is built, and the comprehensive evaluation method based on DEMATEL-ANP-TOPSIS mixed decision model is used to evaluate the comprehensive energy-saving potential of the energy-saving reconstruction schemes regarding the index system. Finally, the optimal reconstruction scheme is selected based on the evaluation results of energy saving potential in multiple scenarios. The effectiveness of the proposed method is verified by an example in IEEE-33 node distribution network.

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

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