Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition

2019 ◽  
Vol 129 ◽  
pp. 106436 ◽  
Author(s):  
Hubert Hadera ◽  
Joakim Ekström ◽  
Guido Sand ◽  
Juha Mäntysaari ◽  
Iiro Harjunkoski ◽  
...  
Keyword(s):  
Production Scheduling ◽  
Energy Cost ◽  
Cost Optimization ◽  
Mean Value ◽  
Cross Decomposition

Mean value cross decomposition for nonlinear convex problems

2006 ◽  
Vol 21 (3) ◽  
pp. 401-417 ◽  
Author(s):  
Kaj Holmberg ◽  
Krzysztof C. Kiwiel
Keyword(s):  
Mean Value ◽  
Convex Problems ◽  
Cross Decomposition

scholarly journals Green Building Energy Cost Optimization With Deep Belief Network and Firefly Algorithm

2021 ◽  
Vol 9 ◽  
Author(s):  
Yan Liao ◽  
Yong Liu ◽  
Chaoyu Chen ◽  
Lili Zhang
Keyword(s):  
Energy Cost ◽  
Firefly Algorithm ◽  
Cost Optimization ◽  
Green Building ◽  
Central Business District ◽  
Multi Objective Optimization ◽  
Commercial Building ◽  
Multi Objective ◽  
Optimization Framework ◽  
Business District

In this research, we propose a multi-objective optimization framework to minimize the energy cost while maintain the indoor air quality. The proposed framework is consisted with two stages: predictive modeling stage and multi-objective optimization stage. In the first stage, artificial neural networks are applied to predict the energy utility in real-time. In the second stage, an optimization algorithm namely firefly algorithm is utilized to reduce the energy cost while maintaining the required IAQ conditions. Industrial data collected from a commercial building in central business district in Chengdu, China is utilized in this study. The results produced by the optimization framework show that this strategy reduces energy cost by optimizing operations within the HAVC system.

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