scholarly journals Energy conservation through effective energy utilization

1976 ◽  
Author(s):  
Jesse C Denton ◽  
Stephen Weber ◽  
John Moriarty
Keyword(s):  
Energy Conservation ◽  
Energy Utilization ◽  
Effective Energy

scholarly journals A Dual-Objective Substation Energy Consumption Optimization Problem in Subway Systems

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1876 ◽  
Author(s):  
Hongjie Liu ◽  
Tao Tang ◽  
Jidong Lv ◽  
Ming Chai
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Energy Conservation ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Energy Utilization ◽  
Total Size ◽  
Energy Consumption Optimization ◽  
Regenerative Energy ◽  
Timetable Optimization

Maximizing regenerative energy utilization is an important way to reduce substation energy consumption in subway systems. Timetable optimization and energy storage systems are two main ways to improve improve regenerative energy utilization, but they were studied separately in the past. To further improve energy conservation while maintaining a low cost, this paper presents a strategy to improve regenerative energy utilization by an integration of them, which determines the capacity of each Wayside Energy Storage System (WESS) and correspondingly optimizes the timetable at the same time. We first propose a dual-objective optimization problem to simultaneously minimize substation energy consumption and the total cost of WESS. Then, a mathematical model is formulated with the decision variables as the configuration of WESS and timetable. Afterwards, we design an ϵ -constraint method to transform the dual-objective optimization problem into several single-objective optimization problems, and accordingly design an improved artificial bee colony algorithm to solve them sequentially. Finally, numerical examples based on the actual data from a subway system in China are conducted to show the effectiveness of the proposed method. Experimental results indicate that substation energy consumption is effectively reduced by using WESS together with a correspondingly optimized timetable. Note that substation energy consumption becomes lower when the total size of WESS is larger, and timetable optimization further reduces it. A set of Pareto optimal solutions is obtained for the experimental subway line—based on which, decision makers can make a sensible trade-off between energy conservation and WESS investment accordingly to their preferences.

City Energy Saving Assessment Based on Fuzzy Hierarchical Analysis - A Case Study of Wuhan City in China

2012 ◽  
Vol 485 ◽  
pp. 425-428
Author(s):  
Jun Liang Wang ◽  
Qing Ying Zhang ◽  
Li Yin
Keyword(s):  
Energy Conservation ◽  
Social Development ◽  
Energy Saving ◽  
Emission Reduction ◽  
Energy Utilization ◽  
Evaluation Index ◽  
Hierarchical Analysis ◽  
Wuhan City

Energy conservation has become an important topic of social development. The assessment of the energy utilization results is meaningful, which is the springboard of the paper. Taking Wuhan city in China as an example, lots of in-depth investigations are accomplished, hierarchical analysis and fuzzy computation are made, so as to build a set of evaluation index to estimate the actuality of energy saving and emission reduction in Wuhan. The result is also available to appraise the energy conservation in other cities.

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