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Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station

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In this article, an optimal energy management strategy is proposed for the operation of a compressed natural gas fuelling station, where the compressor energy consumption is the main component of the total operating cost of the station, which presents a cost saving opportunity through which optimal scheduling of operation can be used to lower cost of operation.
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This article is published in Applied Energy.The article was published on 2018-07-15 and is currently open access. It has received 20 citations till now. The article focuses on the topics: Operating cost & Energy consumption.

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Toward Small Scale Renewable Energy Hub-Based Hybrid Fuel Stations: Appraising Structure and Scheduling

TL;DR: This article introduces a hybrid fuel station (HFS) to supply both electric and natural gas vehicles and incorporates an energy hub and demonstrates that the economic benefits of the proposed HFS are significantly higher than a conventional one.
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An Energy-Aware Multiobjective Optimization Framework to Minimize Total Tardiness and Energy Cost on a Single-Machine Nonpreemptive Scheduling

TL;DR: This paper illustrates that operations management, which is typically observed as a significant technique that allows manufacturing to operate in challenging data enabled environment in an industrial internet of things ecosystem, can also carefully optimize a production process to improve energy cost in order to manage environmental challenges.
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Scenario-based robust energy management of CCHP-based virtual energy hub for participating in multiple energy and reserve markets

TL;DR: In this article , the authors proposed a robust self-scheduling of a VEH for participating in the energy and reserve markets, where the thermal reserve market is proposed to maintain the real-time thermal power balance and compensate for the effects of thermal demand uncertainty.
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A Mixed Epistemic-Aleatory Stochastic Framework for the Optimal Operation of Hybrid Fuel Stations

TL;DR: This study presents a stochastic mathematical framework to address both types of uncertainties according to the innate nature of each uncertain variable, namely: epistemic uncertainty variables (EUVs) and aleatory uncertainty variable (AUVs).
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Computational screening carbon-based adsorbents for CH4 delivery capacity

TL;DR: In this paper, a computational screen has been performed to investigate factors that influence the deliverable capacity of CH4 in carbon-based porous adsorbents, including unique textural properties (volumetric specific surface area, porosity, pore size distribution, surface chemical properties) using Monte Carlo simulations.
References
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Journal ArticleDOI

A summary of demand response in electricity markets

TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.
Journal ArticleDOI

Internal combustion engines fueled by natural gas—hydrogen mixtures

TL;DR: In this article, a survey of research papers on utilization of natural gas-hydrogen mixtures in internal combustion engines is carried out, in which a mixture of low hydrogen percentage is suitable for using.
Journal ArticleDOI

An empirical analysis on the adoption of alternative fuel vehicles: The case of natural gas vehicles

TL;DR: In this article, the adoption of alternative fuel vehicles (AFVs) has been regarded as one of the most important strategies to address the issues of energy dependence, air quality, and, more recently, climate change.
Journal ArticleDOI

Optimal scheduling of household appliances for demand response

TL;DR: In this paper, residential demand response is studied through the scheduling of typical home appliances in order to minimize electricity cost and earn the relevant incentive using a mixed integer nonlinear optimization model under a time-of-use electricity tariff.
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Frequently Asked Questions (16)
Q1. What have the authors contributed in "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station1" ?

In this paper, an optimal energy management strategy is proposed for the operation of a compressed natural gas fuelling station. The developed model shows potential average savings of 59. 

In view of the long way to large-scale adoption of electric vehicles, CNG is viewed as an appropriate transition fuel towards a greener transportation sector [14]. 

Energy efficiency of energy converting systems falls into four general categories of equipment efficiency, technology efficiency, performance efficiency and operation efficiency [32, 33, 34, 35]. 

Since the compressor stays off during the morning peak electricity pricing period, the compressor has to be switched on to satisfy gas demand for the standard electricity pricing period. 

Introduction of public service vehicles powered by CNG as well as growth in the number of CNG fleet customers has resulted in the growth in number of vehicle fuelling station in the city of Johannesburg and Pretoria. 

The first method is the Pretoria method proposed by [73] and used subsequently in optimization of the performance of water pumping systems [63, 74]. 

Increased late afternoon and evening fuelling activity is also as a result of motorists who fuel prior to travelling the next day. 

Using thermodynamic laws and mass balance, [44] studied the effects of initial conditions and ambient temperature on the filling of the vehicle on-board cylinder and achieving of the target pressure. 

This can be done by changing the algorithm on the existing programmable logic controller that operates the compressor so that it is time-scheduled according to the results of the optimization, instead of the pressure limit cycled operation employed by the existing system. 

Although this optimization regime minimizes the compressor action during the peak periods of electricity pricing thereby reducing electricity cost, the number of on/off switching of the compressor is too high at 14 and increases the probability of failure through fatigue to the compressor components which will results in an increase in maintenance cost [68, 81]. 

It is possible in some scenarios for the vehicle to arrive with a high tank pressure that can only be filled from the high pressure reservoir since it is almost full or from the medium pressure reservoir followed by the high pressure reservoir. 

The mass of gas in the reservoir is maintained at a high level before the beginning of the second electricity peak pricing period, to reduce the activity of the compressor in the undesirable time band between, 17:00 and 19:00. 

The status of the compressor switch u and the status of the priority panel valves uhp, ump and ulp are the control variables in the current problem. 

The main conditions arising from assumptions in this study that could affect the performance of the strategy in a real life scenario is a difference between the forecast and actual minimum and maximum temperatures over a control horizon which can result in unexpected changes in pressure. 

The approach also succeeds in preventing compressor activity in this second peak electricity pricing period, furtherreducing the cost of electricity consumed for the day. 

Their study recognized limited infrastructure as a major technological barrier to the market penetration of CNG vehicles in the United States of America. 

Trending Questions (1)
How much is a capacitor for an AC compressor?

The developed model shows potential average savings of 59.3% in daily electricity costs while maximizing compressor life through minimization of compressor cycling.