scholarly journals Realizing Energy Savings in Integrated Process Planning and Scheduling

Processes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 120 ◽  
Author(s):  
Liangliang Jin ◽  
Chaoyong Zhang ◽  
Xinjiang Fei
Keyword(s):  
Power Consumption ◽  
Process Planning ◽  
Machine Tools ◽  
Energy Savings ◽  
Memetic Algorithm ◽  
Total Power ◽  
Integrated Process ◽  
Planning And Scheduling ◽  
Total Power Consumption ◽  
Makespan Criterion

The integration of scheduling and process planning can eliminate resource conflicts and hence improve the performance of a manufacturing system. However, the focus of most existing works is mainly on the optimization techniques to improve the makespan criterion instead of more efficient uses of energy. In fact, with a deteriorating global climate caused by massive coal-fired power consumption, carbon emission reduction in the manufacturing sector is becoming increasingly imperative. To ease the environmental burden caused by energy consumption, e.g., coal-fired power consumption in use of machine tools, this research considers both makespan as well as environmental performance criteria, e.g., total power consumption, in integrated process planning and scheduling using a novel multi-objective memetic algorithm to facilitate a potential amount of energy savings; this can be realized through a better use of resources with more efficient scheduling schemes. A mixed-integer linear programming (MILP) model based on the network graph is formulated with both makespan as well as total power consumption criteria. Due to the complexity of the problem, a multi-objective memetic algorithm with variable neighborhood search (VNS) technique is then developed for this problem. The Kim’s benchmark instances are employed to test the proposed algorithm. Moreover, the TOPSIS decision method is used to determine the most satisfactory non-dominated solution. Several scenarios are considered to simulate different machine automation levels and different machine workload levels. Computational results show that the proposed algorithm can strike a balance between the makespan criterion and the total power consumption criterion, and the total power consumption can be affected by machine tools with different automation levels and different workloads. More importantly, results also show that energy saving can be realized by completing machining as early as possible on a machine tool and taking advantage of machine flexibility.

A multi-objective memetic algorithm for integrated process planning and scheduling

2015 ◽  
Vol 85 (5-8) ◽  
pp. 1513-1528 ◽  
Author(s):  
Liangliang Jin ◽  
Chaoyong Zhang ◽  
Xinyu Shao ◽  
Xudong Yang ◽  
Guangdong Tian
Keyword(s):  
Process Planning ◽  
Memetic Algorithm ◽  
Integrated Process ◽  
Planning And Scheduling ◽  
Multi Objective

scholarly journals Multi-Objective Optimization of Integrated Process Planning and Scheduling Considering Energy Savings

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6181
Author(s):  
Xu Zhang ◽  
Hua Zhang ◽  
Jin Yao
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Process Planning ◽  
Energy Savings ◽  
Degradation Mechanism ◽  
Integrated Process ◽  
Multi Objective Optimization ◽  
Planning And Scheduling ◽  
Multi Objective

With the emergence of the concept of green manufacturing, more manufacturers have attached importance to energy consumption indicators. The process planning and shop scheduling procedures involved in manufacturing processes can both independently achieve energy savings, however independent optimization approaches limit the optimization space. In order to achieve a better optimization effect, the optimization of energy savings for integrated process planning and scheduling (IPPS) was studied in this paper. A mathematical model for multi-objective optimization of IPPS was established to minimize the total energy consumption, makespan, and peak power of the job shop. A hierarchical multi-strategy genetic algorithm based on non-dominated sorting (NSHMSGA) was proposed to solve the problem. This algorithm was based on the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) framework, in which an improved hierarchical coding method is used, containing a variety of genetic operators with different strategies, and in which a population degradation mechanism based on crowding distance is adopted. The results from the case study in this paper showed that the proposed method reduced the energy consumption by approximately 15% for two different scheduling schemes with the same makespan. The computational results for NSHMSGA and NSGA-Ⅱ approaches were evaluated quantitatively in the case study. The C-metric values for NSHMSGA and NSGA-Ⅱ were 0.78 and 0, the spacing metric values were 0.4724 and 0.5775, and the maximum spread values were 1.6404 and 1.3351, respectively. The evaluation indexes showed that the NSHMSGA approach could obtain a better non-dominated solution set than the NSGA-Ⅱ approach in order to solve the multi-objective IPPS problem proposed in this paper.

scholarly journals DEVELOPMENT OF AN ENERGY AUDIT WORKING PROCEDURE FOR AN ACADEMIC UNIVERSITY OFFICE BUILDING IN THE PHILIPPINES

2021 ◽  
Vol 11 (1) ◽  
pp. 88-95
Author(s):  
Maxine Chan ◽  
Emmanuel Arriola ◽  
Reynaldo Cuevas III ◽  
Joseph Gerard Reyes
Keyword(s):  
Power Consumption ◽  
Air Conditioning ◽  
Energy Use ◽  
Energy Savings ◽  
The Philippines ◽  
Office Building ◽  
Total Power ◽  
Commercial Building ◽  
Energy Audit ◽  
Total Power Consumption

The Philippine commercial building sector accounts for roughly 10% of the total electricity power consumption. For this research, an energy audit was conducted in an academic office building of a Philippine university. The study focused on eight representative offices within the building to serve as pilot facilities for this research. The study evaluated the performance of existing lighting fixtures to attain the minimum acceptable standard of 300 lux for offices as well as the performance of existing air conditioning units to achieve a recommended room temperature of 24 Celsius. From the results, it is evident that the air conditioning unit makes up majority of energy use in almost all offices, with an average of 63% of total power consumption, followed by lights with 23% and plug-in loads with 14%. For maximum lux values with minimal energy consumption, the use of LED lights is recommended while for temperature, the use of inverter technology is encouraged for long term energy savings.

scholarly journals Efficient Operation Method of Aquifer Thermal Energy Storage System Using Demand Response

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3129
Author(s):  
Jewon Oh ◽  
Daisuke Sumiyoshi ◽  
Masatoshi Nishioka ◽  
Hyunbae Kim
Keyword(s):  
Energy Storage ◽  
Power Consumption ◽  
Thermal Energy ◽  
Demand Response ◽  
Thermal Energy Storage ◽  
Heat Storage ◽  
Storage System ◽  
Total Power ◽  
Operation Method ◽  
Total Power Consumption

The mass introduction of renewable energy is essential to reduce carbon dioxide emissions. We examined an operation method that combines the surplus energy of photovoltaic power generation using demand response (DR), which recognizes the balance between power supply and demand, with an aquifer heat storage system. In the case that predicts the occurrence of DR and performs DR storage and heat dissipation operation, the result was an operation that can suppress daytime power consumption without increasing total power consumption. Case 1-2, which performs nighttime heat storage operation for about 6 h, has become an operation that suppresses daytime power consumption by more than 60%. Furthermore, the increase in total power consumption was suppressed by combining DR heat storage operation. The long night heat storage operation did not use up the heat storage amount. Therefore, it is recommended to the heat storage operation at night as much as possible before DR occurs. In the target area of this study, the underground temperature was 19.1 °C, the room temperature during cooling was about 25 °C and groundwater could be used as the heat source. The aquifer thermal energy storage (ATES) system in this study uses three wells, and consists of a well that pumps groundwater, a heat storage well that stores heat and a well that used heat and then returns it. Care must be taken using such an operation method depending on the layer configuration.

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