A novel green design method using electrical products reliability assessment to improve resource utilization

ABSTRACT The mathematical concept of green design method is proposed based on the relation between energy and life cycle, including domain redefinition, geometric probability, failure rate and reliability expression. The product design is carried with failure distributions and design steps, including exponential, normal and Weibull. The parameters are redefined and design steps and flowchart are specified. This proposed method is to ensure reliability and resource utilization for electrical products, and compares with traditional reliability assessment method. For traditional design method, the higher reliability requires more resource reserves and longer life cycle in material supply chain. Products are passively eliminated due to technical progress and resource utilization is lower during life cycle. green design steps and reliability test are simulated with Monte Carlo method, to demonstrate the correctness of green design method. This study involves higher reliability and considers reasonable life with more resource utilization than traditional design method.

[1]  Ming-Chuan Chiu,et al.  Supporting sustainable product service systems: A product selling and leasing design model , 2019, Resources, Conservation and Recycling.

[2]  Seong-woo Woo,et al.  Reliability design and case study of mechanical system like a hinge kit system in refrigerator subjected to repetitive stresses , 2019, Engineering Failure Analysis.

[3]  F. Blaabjerg,et al.  Monte Carlo Simulation With Incremental Damage for Reliability Assessment of Power Electronics , 2021, IEEE Transactions on Power Electronics.

[4]  Zhenwei Zhou,et al.  Reliability-Centered Maintenance for Modular Multilevel Converter in HVDC Transmission Application , 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[5]  Gevork B. Gharehpetian,et al.  Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid , 2019, Energy.

[6]  N. Müller,et al.  Floating PV system as an alternative pathway to the amazon dam underproduction , 2021 .

[7]  Cong Lin,et al.  Reliability assessment for balanced systems with restricted rebalanced mechanisms , 2020, Comput. Ind. Eng..

[8]  Zhihua Zhou,et al.  A comparative life-cycle assessment of hydro-, nuclear and wind power: A China study , 2019, Applied Energy.

[9]  Bin He,et al.  Product sustainability assessment for product life cycle , 2019, Journal of Cleaner Production.

[10]  Mahmoud Awad,et al.  Economic allocation of reliability growth testing using Weibull distributions , 2016, Reliab. Eng. Syst. Saf..

[11]  Junyi Zhang,et al.  Application of adaptive reliability importance sampling-based extended domain PSO on single mode failure in reliability engineering , 2021, Inf. Sci..

[12]  Srinivas Sriramula,et al.  Uncertainty modeling in reliability analysis of floating wind turbine support structures , 2021 .

[13]  Joeri Van Mierlo,et al.  Status and future perspectives of reliability assessment for electric vehicles , 2019, Reliab. Eng. Syst. Saf..

[14]  Kuan Yew Wong,et al.  Sustainable product design and development: A review of tools, applications and research prospects , 2018 .

[15]  Reza Tavakkoli-Moghaddam,et al.  Agile two-stage lot-sizing and scheduling problem with reliability, customer satisfaction and behaviour under uncertainty: a hybrid metaheuristic algorithm , 2020, Engineering Optimization.

[16]  Kim Hua Tan,et al.  A novel approach to measure product quality in sustainable supplier selection , 2020, Journal of Cleaner Production.

[17]  Bingsen Wang,et al.  A review of the state-of-the-art in wind-energy reliability analysis , 2018 .

[18]  Manfred Lenzen,et al.  Hybrid life cycle assessment (LCA) will likely yield more accurate results than process-based LCA , 2018 .

[19]  Ignacio Hernando-Gil,et al.  Model order reduction for reliability assessment of flexible power networks , 2021 .

[20]  Bri-Mathias Hodge,et al.  Quantifying the Economic and Grid Reliability Impacts of Improved Wind Power Forecasting , 2016, IEEE Transactions on Sustainable Energy.

[21]  Frede Blaabjerg,et al.  Comparative evaluation of reliability assessment methods of power modules in motor drive inverter , 2020 .

[22]  Ramesh C. Bansal,et al.  Reliability assessment of distribution system with the integration of renewable distributed generation , 2017 .

[23]  Daniel S. Kirschen,et al.  Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment , 2018, IEEE Transactions on Smart Grid.

[24]  Lei Wang,et al.  Comparison of the reliability-based and safety factor methods for structural design , 2019, Applied Mathematical Modelling.

[25]  S. Sajedi,et al.  Reliability-based life-cycle-cost comparison of different corrosion management strategies , 2019, Engineering Structures.

[26]  Zhe Tian,et al.  Improving the design method of a solar heating system considering weather uncertainty and system reliability , 2020 .

[27]  J. Qiu,et al.  Integrated grid, coal-fired power generation retirement and GESS planning towards a low-carbon economy , 2021 .

[28]  Edward J. Jaselskis,et al.  Critical Factors for Improving Reliability of Project Control Metrics throughout Project Life Cycle , 2020 .

[29]  Ling-Ling Li,et al.  Green system reliability assessment method based on life cycle: Resources and economical view , 2020 .

[30]  Mohammad Rastegar,et al.  Impacts of Residential Energy Management on Reliability of Distribution Systems Considering a Customer Satisfaction Model , 2018, IEEE Transactions on Power Systems.

[31]  Wei Sun,et al.  Reliability correlated optimal planning of distribution network with distributed generation , 2020, Electric Power Systems Research.

[32]  Boming Zhang,et al.  Feeder‐corridor‐based distribution network planning model with explicit reliability constraints , 2020 .

[33]  Johan J. Estrada-López,et al.  A Fully Integrated Maximum Power Tracking Combiner for Energy Harvesting IoT Applications , 2020, IEEE Transactions on Industrial Electronics.

[34]  A. Razmi,et al.  Exergoeconomic assessment with reliability consideration of a green cogeneration system based on compressed air energy storage (CAES) , 2020 .

[35]  Vikas Kumar,et al.  Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers , 2021 .

[36]  Yu Liu,et al.  Reliability assessment for multi-state systems with state transition dependency , 2019, Reliab. Eng. Syst. Saf..

[37]  Ming-Lang Tseng,et al.  Sustainable development for zero-wastewater-discharge reproduction planning under quantitative and qualitative information , 2019 .

[38]  Dmitry Krupenev,et al.  Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method , 2020, Reliab. Eng. Syst. Saf..

[39]  John Quigley,et al.  Allocation of tasks for reliability growth using multi-attribute utility , 2016, Eur. J. Oper. Res..

[40]  G. A. Hamoud,et al.  Assessment of Spare Parts for System Components Using a Markov Model , 2020, IEEE Transactions on Power Systems.

[41]  Zhaohong Bie,et al.  Customer satisfaction based reliability evaluation of active distribution networks , 2016 .