Modeling the natural gas supply chain for sustainable growth policy

Fernández, Mauricio Becerra; Cosenz, Federico; Dyner, Isaac

doi:10.1016/j.energy.2020.118018

Cited by 24 publications

(12 citation statements)

References 49 publications

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“…For instance, there are numerous simulation studies in literature attempting to understand the relationship that may exist between various inputs into a system (e.g., patient scheduling and staff resources) and different output performance measures from the system (e.g., patient waiting times) [8], [11]. However, they rarely combine service levels and resource capacity applied to financial services [7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Despite the solutions obtained by service planning models considering resource capacity, these rarely contemplate performance measures to evaluate compliance of service levels [3]. Additionally, the solution obtained by service and supply planning models is static [5], [6] and seldom based on dynamic simulation scenarios [1], [7]. Given that service systems must have sufficient capacity to guarantee service levels, this paper developed a discrete event simulation (DES) model that analyzes the required resources over a finite horizon.…”

Section: Introductionmentioning

confidence: 99%

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Resources Allocation in Service Planning Using Discrete-Event Simulation

Fernández

Herrera

Trejos

et al. 2021

IyU

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Objective: Calculate the required personnel and resources needed to fulfill the service promise agreed with the customer. Methods and materials: This paper presents a discrete event simulation (DES) model developed to select and implement a Point of Sale (POS) for a company providing financial products. First, the paper shows the characterization of the system components and times per process. Then, hypothesis testing and goodness-of-fit statistics are estimated. Subsequently, the simulation scenarios assess the times between arrivals and the number of commercial advisers. Results and discussion: This model allows us to assess the allocation of resources to fulfill the service promise, which is that 80 % of customers must be served within one hour or less. This paper provided the service isoquants allowing us to observe the behavior of the performance metrics (service promise fulfillment) among different scenarios. Conclusions: The use of DES techniques allows for the evaluation of the assignment of personnel to achieve the fulfillment of the service promise, including facilities, equipment, and the evaluation of related processes. These methods can be extended to the analysis of resource allocation in the development of other processes, observing the relationship between service quality and operating costs.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resources Allocation in Service Planning Using Discrete-Event Simulation

Fernández

Herrera

Trejos

et al. 2021

IyU

Self Cite

View full text Add to dashboard Cite

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“…For example, Windisch et al [59] have applied DES to simulate the raw material planning in an energy wood supply chain. Becerra-Fernandez et al [61] have proposed a DS model for assessing alternative security of supply policy along the natural gas value chain. The modeling benefits and the large computational capacities make simulation models increasingly attractive for the modeling of realistic ESC realistic problems.…”

Section: State-of-the-art Literature Review On Energy Supply Chain Modelsmentioning

confidence: 99%

A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains

2021

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The work presents a simulation-based Multi-Objective Optimization (MOO) framework for efficient production planning in Energy Supply Chains (ESCs). An Agent-based Model (ABM) that is more comprehensive than others adopted in the literature is developed to simulate the agent’s uncertain behaviors and the transaction processes stochastically occurring in dynamically changing ESC structures. These are important realistic characteristics that are rarely considered. The simulation is embedded into a Non-dominated Sorting Genetic Algorithm (NSGA-II)-based optimization scheme to identify the Pareto solutions for which the ESC total profit is maximized and the disequilibrium among its agent’s profits is minimized, while uncertainty is accounted for by Monte Carlo (MC) sampling. An oil and gas ESC model with five layers is considered to show the proposed framework and its capability of enabling efficient management of the ESC sustained production while considering the agent’s uncertain interactions and the dynamically changing structure.

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“…Qin et al [12] believe natural gas could smooth the intermittency of renewable electricity generation and facilitate renewable energy penetration. Natural gas is also considered a transitional fuel to support renewable energy resources, in cases of intermittency and lack of reliability [13]. In the global energy structure, natural gas is expected to overtake oil as a leading fuel by 2040 [14].…”

Section: Introductionmentioning

confidence: 99%

Role of Natural Gas Consumption in the Reduction of CO2 Emissions: Case of Azerbaijan

Gurbanov

2021

Energies

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Azerbaijan signed the Paris Agreement in 2016 and committed to cut greenhouse gas (GHG) emissions by 35% in 2030. Meanwhile, natural gas has been vital component in the total energy mix of Azerbaijan economy and accounted for almost 65% of the total energy consumption. In the overall electricity mix, natural gas-fired power plants generate 93% of the country’s electricity. Since global energy consumption is responsible for 73% of human-caused greenhouse-gas emissions, and CO2 makes up more than 74% of the total, this study investigates possible mitigation effects of the natural gas consumption on CO2 emissions for Azerbaijan. Author employed several cointegration methodologies, namely Bound testing Autoregressive Distributed Lag (ARDL) approach, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Structural Time Series model (STSM). Author of this paper found that when the share of natural gas increases 1 percent in the total energy mix, CO2 emission per capita decreases approximately 0.14 percent as a result of the ARDL, FMOLS, and DOLS models. All three models provide cointegration between the share of natural gas in the total energy mix and reduction in CO2 emissions.

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Modeling the natural gas supply chain for sustainable growth policy

Cited by 24 publications

References 49 publications

Resources Allocation in Service Planning Using Discrete-Event Simulation

Resources Allocation in Service Planning Using Discrete-Event Simulation

A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains

Role of Natural Gas Consumption in the Reduction of CO2 Emissions: Case of Azerbaijan

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