Building Energy-Saving Performance Control Theory and Application Research Based on Simulated Annealing Algorithm

2011 ◽  
Author(s):  
Hui Li ◽  
Jing-xiao Zhang ◽  
Chong-wang Yue
Keyword(s):  
Simulated Annealing ◽  
Control Theory ◽  
Energy Saving ◽  
Simulated Annealing Algorithm ◽  
Building Energy ◽  
Application Research ◽  
Performance Control ◽  
Building Energy Saving ◽  
Annealing Algorithm

scholarly journals A System to Pre-Evaluate the Suitability of Energy-Saving Technology for Green Buildings

2018 ◽  
Vol 10 (10) ◽  
pp. 3777 ◽  
Author(s):  
Shilei Lu ◽  
Minchao Fan ◽  
Yiqun Zhao
Keyword(s):  
Energy Saving ◽  
Evaluation System ◽  
Simulated Annealing Algorithm ◽  
Green Building ◽  
Building Energy ◽  
Green Buildings ◽  
Design Stage ◽  
Rating Systems ◽  
Pile Up ◽  
Building Energy Saving

Rating systems for green buildings often give assessments from the perspective of the overall performance of a single building or architecture complex but rarely target specific green building technologies. As some of the rating systems are scored according to whether the technologies are used or not, some developers tend to pile up energy-saving technologies blindly just for the sake of certifications without considering their suitability for the application. Such behavior may lead to the failure of achieving the energy goals for green buildings. To solve this problem, a system that pre-evaluates the suitability of green building energy-saving technologies is devised based on modified TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method, SA (simulated annealing) algorithm and unascertained theory-based data analysis method. By setting indices from technology performance, economy, human satisfaction aspects and by using the building prior information and measured database of technology usage, this system can make a quantifiable and multi-dimensional grading assessment for the target green building energy-saving technologies in the design stage. The system aims at helping the designer choose technologies in the design phase that best enhance the performance of the finished green building. It also helps prevent the sub-optimal performance of unsuitable technologies caused by the “pile up” behavior mentioned earlier. To verify this evaluation system, two building designs which use energy-recovery technology are evaluated, and the predicted performance for both designs matched the actual operation of the technology in the buildings themselves well.

Application Research of Improved Simulated Annealing Algorithm in Vehicle Routing Problems

2011 ◽  
Vol 58-60 ◽  
pp. 1031-1036
Author(s):  
Dong Mei Yan ◽  
Cheng Hua Lu
Keyword(s):  
Simulated Annealing ◽  
Vehicle Routing ◽  
Simulated Annealing Algorithm ◽  
Memory Function ◽  
Optimal Solution ◽  
Vehicle Routing Problems ◽  
Application Research ◽  
Routing Problems ◽  
Annealing Algorithm ◽  
Optimization Efficiency

This paper analyzed the principle and insufficient of traditional simulated annealing algorithm, and on the basis of the traditional simulated annealing algorithm, this paper used improved simulated annealing algorithm to solve vehicle routing problems. The new algorithm increases memory function, and keeps the current best state to avoid losing current optimal solution while reducing the computation times and accelerating the algorithm speed. The experimental results show that, the algorithm can significantly improve the optimization efficiency, and has faster convergence speed than traditional simulated annealing algorithm.

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