A dynamic decision model for energy-efficient scheduling of manufacturing system with renewable energy supply

Materi, Sergio; D’Angola, A.; Renna, Paolo

doi:10.1016/j.jclepro.2020.122028

Cited by 29 publications

(25 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reference context, as described in Materi et al [14], concerns a manufacturing system composed of a single machine that performs a face milling of a prismatic workpiece. The work center is active 24 h a day and is coupled with a PV plant and a battery storage system.…”

Section: Basic Considerations and Assumptionsmentioning

confidence: 99%

“…The mathematical model and the objective function have been taken from Materi et al [14] in which the hourly energy production of the PV plant has been considered [41][42][43]. In addition to the previous formulation, the availability of battery storage has been considered and the mathematical model has been properly updated.…”

Section: Basic Considerations and Assumptionsmentioning

confidence: 99%

“…The basic assumptions of the model are: infinite storage capacity and level of unit stocked cleared the first day of each month. According to Materi et al [14], the maximum power of the PV system is 10 kW, and the irradiance and ambient temperature have been taken from the PVGIS database [52]. It has been considered that the PV plant is located in Potenza (Italy).…”

Section: Energy and Tool Wear Analysismentioning

confidence: 99%

“…The only recent work that supports the alignment of demand energy of the manufacturing system and the intermittent RES was proposed by Materi et al [14]. The model maximizes the monthly profit to satisfy customer demand for items with the introduction of an electric grid and by a photovoltaic (PV) system.…”

Section: Introductionmentioning

confidence: 99%

“…The research proposed in this paper is an improvement of the model presented in Materi et al [14], aimed at deepening the impact of the introduction of battery storage in a manufacturing production system and on technological operations, energy cost and CO 2 emissions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy

Materi

D’Angola

Enescu

et al. 2021

Prod. Eng. Res. Devel.

Self Cite

View full text Add to dashboard Cite

In recent years, the production of renewable energy has increased continuously to reduce fossil fuel consumption and CO2 emissions and to increase energy efficiency. The challenge of industries is to integrate renewable energy systems into the existing power system of manufacturing industries. In the energy flexibility approach, the manufacturing energy demand is aligned with renewable energy availability, to improve the use of the renewable energy source. This paper aims to investigate a manufacturing system supplied by a photovoltaic plant coupled with a battery storage system. A basic storage model has been developed and implemented to pursue this issue. The model is applied in the simplified case of a manufacturing system composed of a cutting numerical control machine, which can adapt the cutting speed to align the power needed to the power supplied by the photovoltaic plant. However, the model can be extended to realistic production cases characterized by complex systems as long as the time evolution of energy consumptions are known in detail. The introduction of battery storage allows reducing the cutting speed fluctuations, improving the cutting life derived from the fatigue effect. This solution reduces the costs of the machine and improves the forecasting of the means needed for the manufacturing system. Finally, a detailed analysis of greenhouse gas reduction is discussed.

show abstract

Section: Basic Considerations and Assumptionsmentioning

confidence: 99%

Section: Basic Considerations and Assumptionsmentioning

confidence: 99%

Section: Energy and Tool Wear Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy

Materi

D’Angola

Enescu

et al. 2021

Prod. Eng. Res. Devel.

Self Cite

View full text Add to dashboard Cite

show abstract

Comparative analysis of the impact of energy‐aware scheduling, renewable energy generation, and battery energy storage on production scheduling

Karimi

Kwon

2021

Int J Energy Res

View full text Add to dashboard Cite

Summary To make manufacturing systems more energy cost‐efficient, significant research proposes adopting energy‐‐aware production scheduling with on‐site renewable energy generation systems and battery energy storage systems. Depending on the different system configurations and various practical scenarios, the effect of those proposals would vary on energy efficiency and time‐related performance of the system because of the complex dynamics and trade‐offs in the manufacturing process. This paper proposes a mathematical optimization‐based systematic approach to comprehensively evaluate and analyze the effect on energy cost and makespan by energy‐aware production scheduling, on‐site solar power generation, and battery energy storage in various configurations. Numerical experiments are designed to demonstrate how the presented optimization models can be used to investigate the cost‐saving and performance degradation that results from different configurations. Based on our numerical experiment, using only energy‐aware scheduling can reduce the energy cost by 23% and the total cost by 7%. Simultaneous use of all three efforts saves 36% of energy cost and 15% of the total cost, which comprises the energy and time‐related makespan costs. A sensitivity analysis is performed to evaluate the practical benefits of renewable energy generation and battery energy storage under different generation and storage capacities.

show abstract

Demand Management for Sustainable Supply Chain Operations

Agatz,

Fleischmann

2023

Sustainable Supply Chains

View full text Add to dashboard Cite

A dynamic decision model for energy-efficient scheduling of manufacturing system with renewable energy supply

Cited by 29 publications

References 35 publications

Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy

Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy

Comparative analysis of the impact of energy‐aware scheduling, renewable energy generation, and battery energy storage on production scheduling

Demand Management for Sustainable Supply Chain Operations

Contact Info

Product

Resources

About