Towards sustainable circular agriculture: An integrated optimization framework for crop-livestock-biogas-crop recycling system management under uncertainty

2022 ◽  
Vol 196 ◽  
pp. 103347
Author(s):  
Qiong Yue ◽  
Ping Guo ◽  
Hui Wu ◽  
Youzhi Wang ◽  
Chenglong Zhang
Author(s):  
Ming-Yi You

An integrated optimization framework for multi-cycle environmental stress screening tests and preventive maintenance scheduling is proposed. The proposed framework considers the improvement of product reliability through environmental stress screening tests and the associated screening cost, and the effect of preventive maintenance schedule on the maintenance cost as well. The environmental stress screening model is extended first to be applicable for multi-cycle environmental stress screening tests. The extended environmental stress screening model characterizes the product reliability function which survives the environmental stress screening test in terms of both the number of environmental stress screening cycles and the severity of screening stress. Afterwards, an integrated cost model is established by considering the cost of preventive maintenance, the cost of corrective maintenance, the cost of environmental stress screening test, and the cost due to failure of products in the environmental stress screening test. The application case study demonstrates the implementation procedures and the application effectiveness of the proposed approach. The application results show that, considering the cost due to environmental stress screening and the cost due to maintenance separately could lead to suboptimal decisions. For enterprises responsible for both environmental stress screening and maintenance, it is suggested to optimize the environmental stress screening test and maintenance scheduling jointly to minimize the overall cost.


Energy ◽  
2020 ◽  
Vol 202 ◽  
pp. 117789 ◽  
Author(s):  
Alireza Bostan ◽  
Mehrdad Setayesh Nazar ◽  
Miadreza Shafie-khah ◽  
João P.S. Catalão

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1737
Author(s):  
Zesen Wang ◽  
Xin Li ◽  
Yu Li ◽  
Tianqi Zhao ◽  
Xue Xia ◽  
...  

As the carbon emissions of commercial buildings are attracting considerable attention, the integrated energy system (IES) has become a promising low-carbon method in response. In this paper, an optimization framework for low-carbon oriented integrated energy system management under electric vehicles (EV) demand response is proposed. After analyzing the charging behavior, EV charging demand is simulated. Then, the low-carbon integrated energy system model is proposed with the optimization framework considering carbon reduction. Subsequently the objective function containing carbon emission is obtained for the whole operation optimization. The results of the studied case show that the optimization framework proposed can reduce the carbon emission greatly as well as moderate economic cost, which declined because of the revenue from charging demand response. In general, the optimization of low-carbon oriented IES in commercial buildings is feasible.


2020 ◽  
Author(s):  
Mareike Leimeister ◽  
Maurizio Collu ◽  
Athanasios Kolios

Abstract. Spar-type platforms for floating offshore wind turbines are considered suitable for commercial wind farm deployment. To reduce the hurdles of such floating systems to become competitive, a fully integrated optimization framework is applied to design an advanced spar-type floater for a 5 MW wind turbine. Three cylindrical sections with individual diameters and heights, as well as the ballast filling height are the modifiable design variables of the optimization problem. Constraints regarding the geometry, ballast, draft, and system performance are specified. The optimization objective to minimize the floater structural material shall represent the overall goal of cost reduction. Preprocessing system simulations are performed to select a critical design load case, which is used within the iterative optimization algorithm. This itself is executed by means of a fully integrated framework for automated simulation and optimization and utilizes a genetic algorithm. The presented design optimization example and approach emphasize the complexity of the optimization problem and lead to the recommendation to consider safety factors for other more critical and design-driving performance criteria. For the applied methodology and conditions it is shown that the required material for an advanced spar-type platform supporting an offshore wind turbine can be reduced by more than 31 % and, at the same time, the performance of the floating system – expressed by the maximum system inclination, maximum tower top acceleration, and mean translational motion – improved in some respect.


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