Cost-benefit analysis for regenerative energy storage in metro

2017 ◽  
Vol 11 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Xiang Li ◽  
Ziyou Gao
Keyword(s):  
Energy Storage ◽  
Recovery Rate ◽  
Energy Recovery ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Maintenance Cost ◽  
Benefit Analysis ◽  
Content Type ◽  
Storage Devices ◽  
Regenerative Energy

Purpose Regenerative braking is an efficient energy saving technology in urban rail system, in which the recovery energy from braking trains is collected by some equipments and released to accelerating trains when needed. However, the high cost and low lifetime of storage devices prevent the widespread use of this technology. The purpose of this paper is to conduct thorough cost-benefit analysis to facilitate China’s urban rail companies to make decisions on the use of such technology. Design/methodology/approach To evaluate the benefit from regenerative energy storage, the authors formulate an improved integrated scheduling and speed control model to calculate the net energy consumption associated with different energy recovery rates and then define the benefit as the amount of energy saving arising from the usage of storage equipments. With the frequent charge/discharge operations on storage equipments, the energy recovery rate generally decreases which lowers the benefit, but the maintenance cost increases. By trading-off benefit and cost, the authors derive the optimal scrapping time, the maximum profit and the profitability condition for storage devices. Findings Simulation studies based on the Beijing Metro Yizhuang Line of China are given. The results show that compared with the current timetable and speed profile, the integrated scheduling and speed control approach with energy recovery rate of 0.5 can reduce the net energy consumption by 12.69 per cent; the net energy consumption can be well approximated as a linear function of energy recovery rate; and the maximum profit and the optimal scrapping time on regenerative energy storage devices are both positively related to the electricity price. The allowance proportion and the number of service trains such that busy lines with higher electricity price or allowance proportion have advantages to use the regenerative energy storage devices. Research limitations/implications In this work, a linear energy recovery rate and a linear maintenance cost are used in the cost-benefit analysis process. In future research, the more accurate expressions on energy recovery rate and maintenance cost should be considered if more data on recovery rate and maintenance cost can be gathered. Originality/value The main values of this paper are to develop the integrated optimization approaches for train scheduling and speed control and, on this basis, make thorough cost-benefit analysis for regenerative energy storage to improve the operations management of urban rail transit.

The social valuation of income: a survey approach

2014 ◽  
Vol 41 (6) ◽  
pp. 808-820 ◽  
Author(s):  
David John Evans ◽  
Erhun Kula ◽  
Yoko Nagase
Keyword(s):  
Political Parties ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Statistical Testing ◽  
Survey Method ◽  
Benefit Analysis ◽  
Content Type ◽  
The Social ◽  
Social Valuation ◽  
Survey Approach

Purpose – The purpose of this paper is to estimate survey-based values of the elasticity of marginal social valuation of income, an important welfare parameter in cost-benefit analysis. Design/methodology/approach – A model relating equity welfare weights to income is developed, and iso-elasticity of marginal valuation of income is tested using survey data obtained from a sample of Turkish politicians who are instrumental in policy making. Findings – Based on the survey feedback, formal statistical testing indicates that Turkish politicians, regardless of party allegiance, reveal preferences consistent with an iso-elastic marginal social valuation of income. The estimated value of the elasticity measure is close to unity for each of the political parties. Originality/value – The originality of the paper is in terms of the survey method used to obtain from Turkish politicians estimates of the marginal social valuation of income. This welfare parameter is needed in the calculation of both social discount rates and welfare weights. The paper will be of interest to academics in the field of welfare economics as well as to practitioners involved in the appraisal of social projects and policies.

ZeNXL express logistics: route optimization

2019 ◽  
Vol 9 (2) ◽  
pp. 1-20
Author(s):  
Amol S Dhaigude ◽  
Soham Ray ◽  
Dhrubojit Konwar
Keyword(s):  
Learning Outcomes ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Route Optimization ◽  
Third Party ◽  
Logistics Management ◽  
Benefit Analysis ◽  
Content Type ◽  
Academic Level ◽  
Service Offering

Learning outcomes This case has four major learning outcomes using hands-on spreadsheet tool. First is to introduce and apply the Clarke and Wright’s Savings algorithm. Second is to conduct a cost-benefit analysis in transportation set up. Third is to find out the optimal route to be taken to fulfill given demand while satisfying time and capacity constraints. Finally, one has to optimize the number of vehicles required for daily operations. Case overview/synopsis Dhruvam, the protagonist of the case, working at ZeNXL, a third-party logistics service provider, was assigned the task of reducing the operational cost of the company as part of the new service offering called “Route optimization.” This new offering would help optimize vehicle delivery routes to meet daily customer demand. The launch of the new service offering was due in the next 10 days with client LG Electronics to be the first beneficiary. Complexity academic level MBA-1 (Logistics Management), MBA-2 (Route Optimization). This case provides an opportunity for instructors to introduce vehicle routing and scheduling as part of logistics management. Students are expected to use the data given in the case and exhibits to develop the optimal routes (using Clarke and Wright’s Savings algorithm) and conduct cost-benefit analysis. This case also provides insights on the challenges associated with start-up operations. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes. Subject code CSS 9: Operations and Logistics

IoT-based production logistics and supply chain system – Part 2

2018 ◽  
Vol 118 (1) ◽  
pp. 96-125 ◽  
Author(s):  
Mengru Tu ◽  
Ming K. Lim ◽  
Ming-Fang Yang
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Labor Cost ◽  
Shop Floor ◽  
Prototype System ◽  
Benefit Analysis ◽  
Supply Chain System ◽  
Content Type ◽  
Architecture Framework

Purpose The purpose of this paper is threefold: to present internet of things (IoT)-based cyber-physical system (CPS) architecture framework to facilitate the integration of IoT and CPS; to implement an IoT-based CPS prototype based on the architecture framework for a PL application scenario of in a case study; and to devise evaluation methods and conduct experimental evaluations on an IoT-based CPS prototype. Design/methodology/approach The design research method, case study, emulation experiment method, and cost-benefit analysis are applied in this research. An IoT-based CPS architecture framework is proposed, and followed by the development of prototype system and testbed platform. Then, the emulation and experimental evaluation of IoT-based CPS are conducted on the testbed, and the experimental results are analyzed. Findings The emulation experiment results show that the proposed IoT-based CPS outperforms current barcode-based system regarding labor cost, efficiency, and operational adaptiveness. The evaluation of the IoT-based CPS prototype indicates significant improvements in PL tasks and reduced part inventory under a dynamic changing shop-floor environment. Practical implications The case study shows that the proposed architecture framework and prototype system can be applied to many discrete manufacturing industries, such as automobile, airplane, bicycle, home appliance, and electronics. Originality/value The proposed IoT-based CPS is among the first to address the need to integrate IoT and CPS for PL applications, and to conduct experimental evaluations and cost-benefit analysis of adopting IoT-based CPS for PL. This paper also contributes to the IoT research by using diverse research methods to offer broader insights into understanding IoT and CPS.

Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailendra Kumar ◽  
Mohd. Suhaib ◽  
Mohammad Asjad
Keyword(s):  
Industry 4.0 ◽  
Cost Benefit Analysis ◽  
Fuzzy Ahp ◽  
Relevant Literature ◽  
Cost Benefit ◽  
Principal Component ◽  
Benefit Analysis ◽  
New Production ◽  
Major Barrier ◽  
Content Type

PurposeThe study aims to analyze the barriers in the adoption of Industry 4.0 (I4.0) practices in terms of prioritization, cluster formation and clustering of empirical responses, and then narrowing them with identification of the most influential barriers for further managerial implications in the adoption of I4.0 practices by developing an enhanced understanding of I4.0.Design/methodology/approachFor the survey-based empirical research, barriers to I.40 are synthesized from the review of relevant literature and further discussions with academician and industry persons. Three widely acclaimed statistical techniques, viz. principal component analysis (PCA), fuzzy analytical hierarchical process (fuzzy AHP) and K-means clustering are applied.FindingsThe novel integrated approach shows that lack of transparent cost-benefit analysis with clear comprehension about benefits is the major barrier for the adoption of I4.0, followed by “IT infrastructure,” “Missing standards,” “Lack of properly skilled manpower,” “Fitness of present machines/equipment in the new regime” and “Concern to data security” which are other prominent barriers in adoption of I4.0 practices. The availability of funds, transparent cost-benefit analysis and clear comprehension about benefits will motivate the business owners to adopt it, overcoming the other barriers.Research limitations/implicationsThe present study brings out the new fundamental insights from the barriers to I4.0. The new insights developed here will be helpful for managers and policymakers to understand the concept and barriers hindering its smooth implementation. The factors identified are the major thrust areas for a manager to focus on for the smooth implementation of I4.0 practices. The removal of these barriers will act as a booster in the way of implementing I4.0. Real-world testing of findings is not available yet, and this will be the new direction for further research.Practical implicationsThe new production paradigm is highly complex and evolving. The study will act as a handy tool for the implementing manager for what to push first and what to push later while implementing the I4.0 practices. It will also empower a manager to assess the implementation capabilities of the industry in advance.Originality/valuePCA, fuzzy AHP and K means are deployed for identifying the significant barriers to I4.0 first time. The paper is the result of the original conceptual work of integrating the three techniques in the domain of prioritizing and narrowing the barriers from 16 to 6.

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