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Prediction of natural gas consumption of a town is very important for its logistics and district heating workflow. In this paper different empirical models are introduced for gas consumption prediction. The models are based on the characteristics of gas consumption data that was gathered in Ljubljana, Slovenia. Important observables were recognized from the data and the models were structured according...
Natural gas is an energy resource that is widely used as energy and raw material in many industrial processes. It is contaminated some impurities such as CO2, H2S and water, hence, removal of the contaminant processes are required. One of the natural gas processing is Acid Gas Sweetening. The purpose of this process is to eliminate H2S and CO2 compound from natural gas. H2S tend to corrosive and CO...
The US production of unconventional gas has grown drastically in recent years and is proved to be a case of success. In former years the US imported natural gas in order to meet their high demand and, therefore, invested in LNG import terminals. Since then, production of shale gas is considered to have a potential to change the world natural gas market, as both scientific community and policy makers...
Results of applied short-term forecasting for the Slovenian natural gas market are presented. A case study for one of the major Slovenian natural gas distribution companies is considered, with forecasting results in hourly resolution in the forecasting horizon from 1 to 48 hours. The development of a forecasting strategy is presented, which includes daily data acquisition from various sources, development...
By taking a model-based systems engineering (MBSE) approach, a framework can be developed for long-term exploration of a complex adaptive system in multiple contexts. The framework uses MBSE tools to define the complex system architecture and modern internet state transfer and structured data format standards to integrate natural language descriptions, datasets, and models. These can constitute a...
This paper presents a novel detrending algorithm that allows long-term natural gas demand signals to be used effectively to generate high quality short-term natural gas demand forecasting models. Short data sets in natural gas forecasting inadequately represent the range of consumption patterns necessary for accurate short-term forecasting. In contrast, longer data sets present a wide range of customer...
The aim of this article is to evaluate the potential use of natural gas in cars in Poland. On the basis of the available data in the literature characterizing the number of vehicles using the following criteria: age of the vehicle, engine capacity, car classification, the type of fuel used, curb weight. An average consumption of original fuel and gas was determined on the basis of an econometric model,...
A novel method is proposed to interpret sensor data by applying a gas distribution network model based on the steady-state Weymouth equation. The proposed data interpretation method merges data gathered from sensors and models by comparing variances, so that more information is extracted than by applying the methods available in literature. The data interpretation method is subsequently used to define...
The push to incorporate more renewable sources of generation into electricity grids is forcing a sea change in how grids are composed and managed. The operational task of balancing an electricity grid has grown from a relatively simple, solvable problem to one of great complexity, involving widespread prediction and coordination backed with substantial computational resources. New types of electric...
Estimating natural gas consumption is important at energy sector. With this purpose different prediction methods are used. One of these methods is multiple linear regression method which is used in a wide range of applications In this study, multiple linear regression method was used for estimation of gas consumption and effects of cycle were examined. To examine the cycle, the data were divided into...
In this paper we evaluate the impact of regulation on the investment carried by natural gas transmission and distribution companies in the EU through a panel data of fixed effects. Our sample is composed by nine countries and twenty-three utilities for the period 2000–2009. We find that there is a significant, positive impact on the regulated companies' investment whenever cost-of-service regulation...
According to the importance of gas transmission station in piping systems and diversity of station equipments, to improve the transmission capacity of natural gas piping systems and to examine operational status of the whole pipe network, the mathematical model of the main monomer of gas transmission station equipment has been established, and gas transmission station-wide process simulation software...
Natural gas consumption growth rate in Iran over the past decade has been usually over than the world wide consumption. As temperature variation has an inevitable effect on raw material consumption which supplies thermal and cooling energies in different areas of the society so in this research we are going to investigate the temperature effects on different sectors of natural gas consumption such...
This paper argues for a future-oriented, inclusion of engineering modeling activities in introductory engineering courses at the university level. Engineering model eliciting activities provide a rich source of meaningful engineering problem situations that capitalise on and extend students' existing mathematics and engineering learning and provide opportunities for enhancing student communication...
An analysis identifying future impacts on the electric power system due to additional load from plug-in hybrid electric vehicles (PHEVs) is presented. The operation of the electric power system in the western United States was simulated under a baseline scenario (i.e., without PHEVs) and three scenarios with PHEVs. The latter scenarios assumed different time periods throughout the day when PHEVs would...
This paper presents an adaptive-network-based fuzzy inference system (ANFIS)-fuzzy data envelopment analysis (FDEA)) for long-term natural gas (NG) consumption forecasting and analysis. Six models are proposed to forecast annual NG demand. 104 ANFIS have been constructed and tested in order to find the best ANFIS for natural gas (NG) consumption. Two parameters have been considered in construction...
This paper summarizes the methodology, simulation tools, and major initial findings made by Argonne National Laboratory (Argonne) on the potential impact of simultaneous, high-intensity New Madrid and Wabash Valley Seismic Events on the natural gas interstate pipelines and their subsequent impacts on the downstream customers, particularly on the states under the purview of the Federal Emergency Management...
Increased emphasis on national critical infrastructure protection has accelerated the need to respond to infrastructure assessment requests in a timely manner with reasonable certainty of system consequences following either natural or deliberate system disruptions. Natural gas supply, transmission, and distribution networks provide an important capability to dependent electric power, industrial,...
Since the natural gas is clean, environmentally friendly and highly effective and its strategic status is increasingly prominent, it is in urgent demand to precisely predict natural gas consumption.In our country, a large number of models to predict natural gas consumption have emerged, but all with unavoidable limitations as any single model. So, a model which can integrate merits of each single...
China's consumption and production of natural gas have been rising steadily since the government set a target of raising the proportion of natural gas in total energy consumption to 5.3 percent by 2010 from 2.8 percent in 2005. China's production of natural gas rose 12.3 percent year on year to 76.1 billion cubic meters in 2008 as the government promoted cleaner energy, and China consumed 67.3 billion...
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