The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain

Wangsa, Ivan Darma; Yang, Tao; Wee, Hui–Ming

doi:10.3390/en11071645

Cited by 14 publications

(9 citation statements)

References 28 publications

(12 reference statements)

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“…Figure presents the analogies between CSCIS and SESCS. A similar analogy between CSCIS and SESCS was also provided in Wangsa et al…”

Section: Model Developmentmentioning

confidence: 71%

“…Figure 1 presents the analogies between CSCIS and SESCS. A similar analogy between CSCIS and SESCS was also provided in Wangsa et al 21 In SESCS, the system consists of a power plant, transmission station, and customer. The power plant procures fuels from supplier as raw material and converts them into electricity.…”

Section: System Descriptionmentioning

confidence: 83%

“…They developed a mathematical model to present the proposed problem and suggest an iterative procedure to find the optimal decision variables. Wangsa et al analysed the impact of price‐dependent demand on the sustainable electrical supply chain system (SESCS). Four types of end customer demands are investigated, namely, demand may increase linearly, quadratically, and multiplicatively or decrease multiplicatively.…”

Section: Introductionmentioning

confidence: 99%

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Inventory‐based optimization of a two‐echelon fossil‐fuelled energy storage system

Jauhari

Melinda

Rosyidi

2019

Int Trans Electr Energ Syst

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Summary We propose an inventory‐based optimization model for a system of electricity supply chain. The system involves two parties, including a power plant and a transmission station. In the investigated system, power plant performs the production activities from raw material. Thus, the power plant is responsible for the raw material purchasing, electricity production to fulfill both in‐house and consumer demand, and for electricity distribution to the transmission station. In‐house demand for electricity, which further be called by the utility system demand, is used to perform the production process. Electricity distribution to end consumers is carried out by the transmission station. Here, we consider a stochastic demand, blackout cost, and purchasing decision to order raw material. The model aims to minimize the expected joint total cost for the supply chain system. Several decisions are determined including electricity consumption of utility system and transmission station, power plant distribution factor, emergency backup factor, and raw material ordering factor to supplier. We propose an iterative procedure to solve the model and provide a numerical analysis to get better insight on the related problem.

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“…Figure presents the analogies between CSCIS and SESCS. A similar analogy between CSCIS and SESCS was also provided in Wangsa et al…”

Section: Model Developmentmentioning

confidence: 71%

Section: System Descriptionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inventory‐based optimization of a two‐echelon fossil‐fuelled energy storage system

Jauhari

Melinda

Rosyidi

2019

Int Trans Electr Energ Syst

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“…They examined the influence of four types of demand function on the model's behavior and proposed an algorithm to solve the problem. Similar to the work of Wangsa et al [26], Mishra et al [27] also proposed a sustainable electrical energy supply chain system (SEESCS) problem considering price-dependent demand, setup cost reduction, and the effort to reduce carbon emissions. The emissions were assumed to release from storage and transmission activities.…”

Section: Introductionmentioning

confidence: 99%

“…A mathematical model was developed to portray the investigated system and an efficient procedure was derived to determine the decision variables. Wangsa et al [26] showed how the price-dependent demand could give a pronounced impact on energy lot-sizing decisions. They examined the influence of four types of demand function on the model's behavior and proposed an algorithm to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

et al. 2021

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In this paper, we present a sustainable electrical energy supply chain system (SEESCS) where two supply chain parties are involved, namely a power plant and a transmission station. The power plant has two different types of power generation systems. The first power generation system (PG1) is more costly but it generates lower emissions than the second system (PG2). The model is developed based on a lot-sizing inventory problem to decide the load allocation between PG1 and PG2. The objective function is to minimize total costs that consist of energy generation cost and emission cost. The transmission station faces a stochastic demand and employs a continuous review policy to manage the electrical energy storage. An efficient procedure is developed to solve the model and a sensitivity analysis is carried out to explore the impact of changes in some key parameters on the model's behavior. The results show that the allocation of electricity generation is mostly influenced by the change in PG1's production cost parameter and PG2's emissions parameters. In addition, the amount of emissions generated from the system is significantly affected by the variation in PG1's production cost parameter, PG2's emissions parameters, and electricity demand.

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Issues in sustainable supply chain’s futuristic technologies: a bibliometric and research trend analysis

Wangsa

Vanany

Siswanto

2022

Environ Sci Pollut Res

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This paper presents a systematic review and bibliometric analysis in sustainable supply chain’s futuristic technologies. The analysis involves 1596 articles published in the Scopus database from 1990 to 2020. The analysis examines the research outcomes by observing trends in journals, authorship, and keywords. The outcomes are visualized using VOSviewer to show the graphical network of co-authorship and the author’s keywords. The results show that this research area has been a growing trend since 2016 and by 2020. The Journal of Cleaner Production was a leading journal in this area between 2016 and 2020, followed by Sustainability (Switzerland). The content analysis led to a classification of the articles into four main categories and sub-categories. The strategic diagram is used to reveal the emerging research themes analysis during the last 5 years (2016–2020) and to present future research. The data trending or emerging shows that technologies such as the technology by using combustion energy, renewable energy, and electric vehicles have been developing substantially. The research hotspots of the sustainable supply chain include, i.e., life cycle assessment (LCA), green investment, and carbon tax. Finally, the analysis also shows the research gaps that point a direction for future research. Graphical abstract

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The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain

Cited by 14 publications

References 28 publications

Inventory‐based optimization of a two‐echelon fossil‐fuelled energy storage system

Inventory‐based optimization of a two‐echelon fossil‐fuelled energy storage system

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

Issues in sustainable supply chain’s futuristic technologies: a bibliometric and research trend analysis

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