The Reasonable Range of Life Cycle Utilization Rate of Distribution Network Equipment

The utilization rate of power equipment plays a decisive role in the economic operation of power utilities. By determining the reasonable range of life cycle utilization rate of the distribution network equipment, it is of great significance to the management of the distribution network equipment. In this paper, the reasonable range of the life cycle utilization rate of distribution network equipment is determined. The life cycle utilization rate of distribution network equipment depends on the burden rate, load rate, and life expectancy rate, whose reasonable values are analyzed and exemplified, respectively. The optimal model of the burden rate in different conditions is established. The different load characteristic curves are also given by sorting out the load data. The calculation method of the life expectance rate is presented in this paper. The reasonable range of the life cycle utilization rate is finally obtained by defining the boundary condition of its composition. By setting the reasonable range of life cycle utilization rate of the distribution network equipment, power utilities can improve efficiency.

[1]  Shabbir H. Gheewala,et al.  Environmental life cycle assessment of a commercial office building in Thailand , 2008 .

[2]  R. Jiang,et al.  A new bathtub curve model with a finite support , 2013, Reliab. Eng. Syst. Saf..

[3]  Yongjun Zhang,et al.  Gray theory based energy saving potential evaluation and planning for distribution networks , 2014 .

[4]  Jan Rosenow,et al.  Costs and benefits of Energy Efficiency Obligations: A review of European programmes , 2017 .

[5]  Howard Geller,et al.  An example of energy savings in LDCS: Improving electrical equipment in Pakistan , 1992 .

[6]  Jun Guan,et al.  Quantification of building embodied energy in China using an input–output-based hybrid LCA model , 2016 .

[7]  Boming Zhang,et al.  A Method to Evaluate Total Supply Capability of Distribution Systems Considering Network Reconfiguration and Daily Load Curves , 2016, IEEE Transactions on Power Systems.

[8]  Hong Liu,et al.  A diagnostic method for distribution networks based on power supply safety standards , 2016 .

[9]  S. Hellweg,et al.  Emerging approaches, challenges and opportunities in life cycle assessment , 2014, Science.

[10]  Humberto M. Jorge,et al.  Dealing with the paradox of energy efficiency promotion by electric utilities , 2013 .

[11]  Fengzhang Luo,et al.  Rapid evaluation method for power supply capability of urban distribution system based on N − 1 contingency analysis of main-transformers , 2010 .

[12]  H. P. Berg,et al.  Reliability of main transformers , 2011 .

[13]  Chengshan Wang,et al.  Total supply capability and its extended indices for distribution systems: definition, model calculation and applications , 2011 .

[14]  Canbing Li,et al.  Utilization efficiency of electrical equipment within life cycle assessment: Indexes, analysis and a case , 2015 .

[15]  Shye-Chorng Kuo,et al.  Comparative analysis on power curve models of wind turbine generator in estimating capacity factor , 2014 .

[16]  Adisa Azapagic,et al.  Life cycle cost analysis of the UK housing stock , 2014, The International Journal of Life Cycle Assessment.

[17]  Hong Liu,et al.  Study on evaluation index system of equipment utilization on distribution network , 2012, IEEE PES Innovative Smart Grid Technologies.

[18]  Gian Andrea Blengini,et al.  Energy-saving policies and low-energy residential buildings: an LCA case study to support decision makers in Piedmont (Italy) , 2010 .

[19]  Jun Bi,et al.  Life cycle energy consumption and CO2 emission of an office building in China , 2012, The International Journal of Life Cycle Assessment.

[20]  Volker Wohlgemuth,et al.  RSB Tool: A LCA Tool for the assessment of biofuels sustainability , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).