4.7 Article

Rapid transient operation control method of natural gas pipeline networks based on user demand prediction

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Energy & Fuels

A steady-state energy flow analysis method for integrated natural gas and power systems based on topology decoupling

Yunpeng Jiang et al.

Summary: A new method is proposed in this paper to improve energy flow analysis for integrated natural gas and power systems by considering temperature distribution in natural gas systems, significantly enhancing computational efficiency and convergence performance. Verified with test systems, the method accurately describes and estimates temperature distribution and pressure of natural gas networks, ensuring secure system operation.

APPLIED ENERGY (2022)

Article Thermodynamics

Wave excitation force forecasting using neural networks

Kumars Mahmoodi et al.

Summary: This study focuses on forecasting the wave excitation force experienced by a two-body heaving point absorber wave energy converter using three neural network methods. The performance of the methods is evaluated and compared, and the NAR network method shows the best agreement with the test target data.

ENERGY (2022)

Article Energy & Fuels

Comparison of finite-volume method and method of characteristics for transient flow in

Bonchan Koo

Summary: This study analyzes and compares two numerical methods for modeling transient flow in a single natural-gas pipeline. The pressure-based finite-volume method with the TVD scheme outperforms the conventional implicit method of characteristics for both slow and fast transient problems.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2022)

Article Energy & Fuels

A machine learning-based surrogate model for the rapid control of piping flow: Application to a natural gas flowmeter calibration system

Xiong Yin et al.

Summary: This article proposes a machine learning-based surrogate model for flow control in natural gas pipe networks. By using a data-driven method, the flow characteristics in complex station-level process piping networks are revealed, and a two-step controller is designed to replace the traditional PID controller. Experimental results demonstrate that this method outperforms conventional techniques, highlighting its potential in automating and intellectualizing the natural gas transportation industry.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2022)

Article Economics

Forecasting natural gas consumption using Bagging and modified regularization techniques

Erick Meira et al.

Summary: This paper presents a new approach for forecasting natural gas consumption, which combines various techniques and outperforms traditional methods. The method is not only flexible and reliable, but also suitable for decision support in the energy and other sectors.

ENERGY ECONOMICS (2022)

Article Thermodynamics

A transient composition tracking method for natural gas pipe networks

Di Fan et al.

Summary: The transient composition tracking method developed for natural gas pipe networks uses control volume and one-dimensional unsteady heat transfer models for simulation, enables real-time prediction of gas composition and consideration of its influence on property parameters. The method shows reliability and accuracy in case studies, but caution should be taken regarding the impact of injecting LNG/H-2.

ENERGY (2021)

Article Energy & Fuels

Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition

Yulong Bai et al.

Summary: A novel wind speed prediction model combining VMD and D-ESN with genetic algorithm optimization is proposed in this study, achieving high accuracy and stability. The double-layer structure of the model selects training set lengths in the first layer and corrects prediction errors in the second layer, demonstrating superior performance in practical applications.

APPLIED ENERGY (2021)

Article Green & Sustainable Science & Technology

A random forest-based model for the prediction of construction-stage carbon emissions at the early design stage

Yuan Fang et al.

Summary: Carbon dioxide emissions are a major greenhouse gas leading to global warming. Research on construction-stage emissions is less studied but a random forest model shows promise in predicting these emissions at the early design stage. This provides opportunities to reduce carbon emissions early in a building's life cycle and aids policymakers in planning for multiple construction projects to avoid excessive emissions.

JOURNAL OF CLEANER PRODUCTION (2021)

Article Thermodynamics

Short-term natural gas consumption forecasting from long-term data collection

Radek Svoboda et al.

Summary: The development of natural gas consumption forecasting tools is crucial for forecasting models, with research efforts focused on creating a new dataset with relevant data features. A forecasting methodology is proposed to evaluate statistical and machine learning algorithms in the time series forecasting domain, along with the availability of the new dataset for research use.

ENERGY (2021)

Article Engineering, Environmental

Forecasting of municipal solid waste generation using non-linear autoregressive (NAR) neural models

Sunayan et al.

Summary: The generation of municipal solid waste is a complex process that requires estimation for budget planning and optimizing waste management systems. The study demonstrates that the use of NAR models can effectively predict future MSW generation, while the classical decomposition model can address data availability issues.

WASTE MANAGEMENT (2021)

Article Energy & Fuels

Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm

Shanbi Peng et al.

Summary: With the opening of the third energy revolution, the booming development of the natural gas industry in China has led to the existing pipeline network facilities no longer meeting the gas demand of its residents. How to adjust pipeline network layout and design peak-regulating gas storage facilities to meet the gas demand of residents has become a challenge. Accurate load forecasting can help solve this problem. This study proposes a novel combined model, LMD-WTD-LSTM, which shows excellent performance in daily natural gas prediction, especially when the forecasting time length is 20 days.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2021)

Article Computer Science, Interdisciplinary Applications

Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty

Qian Chen et al.

Summary: This paper introduces a stochastic multi-objective transient peak shaving optimization model for gas pipeline companies to meet gas demand and ensure economical operation. The model aims to minimize operational costs and maximize line pack, resulting in a set of Pareto optimal solutions.

COMPUTERS & CHEMICAL ENGINEERING (2021)

Article Thermodynamics

Well production forecasting based on ARIMA-LSTM model considering manual operations

Dongyan Fan et al.

Summary: Accurate and efficient prediction of well production is essential for extending a well's life cycle and improving reservoir recovery. The hybrid model proposed in this study, integrating linear and nonlinear models while considering the impact of manual operations, outperforms individual ARIMA and LSTM models, especially when production is affected by frequent manual operations.

ENERGY (2021)

Article Thermodynamics

Global natural gas demand to 2025: A learning scenario development model

Reza Hafezi et al.

Summary: The Learning Scenario Development Model (LSDM) combines qualitative and quantitative elements to forecast global natural gas demand to 2025, generating different scenarios through five phases. Results indicate a gentle uptrend in global natural gas demand for reference case, with alternative scenarios showing continued growth at varying rates.

ENERGY (2021)

Article Environmental Sciences

Forecasting discharge rate and chloride content of karstic spring water by applying the Levenberg-Marquardt algorithm

Georgios K. Bekas et al.

Summary: The study utilizes Non-Linear Autoregressive neural networks to predict discharge flow rates and salinity values of Almyros spring in Crete, Greece, achieving high predictive capacity with coefficients of determination at R=0.83 and R=0.86 respectively.

ENVIRONMENTAL EARTH SCIENCES (2021)

Article Engineering, Chemical

Dynamic optimization of natural gas pipeline networks with demand and composition uncertainty

Kai Liu et al.

CHEMICAL ENGINEERING SCIENCE (2020)

Article Energy & Fuels

Forecasting day-ahead natural gas demand in Denmark

Orhan Altug Karabiber et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2020)

Article Engineering, Electrical & Electronic

Transfer function models of gas distribution networks for studying gas-electricity coupling: Modeling, networking and evaluation

Siqi Yu et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Article Green & Sustainable Science & Technology

Integration of weather forecast and artificial intelligence for a short-term city-scale natural gas consumption prediction

Aleksandar S. Andelkovic et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Energy & Fuels

Transient Optimization of Natural Gas Networks Using Intelligent Algorithms

Esmaeel Khanmirza et al.

JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2019)

Article Engineering, Civil

Detection of Outlier in 3D Flow Velocity Collection in an Open-Channel Bend Using Various Data Mining Techniques

Mohammad Vaghefi et al.

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING (2019)

Review Thermodynamics

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

Hui Liu et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

Article Thermodynamics

Oil price forecasting using a hybrid model

Ali Safari et al.

ENERGY (2018)

Article Energy & Fuels

Fast method for the hydraulic simulation of natural gas pipeline networks based on the divide-and-conquer approach

Peng Wang et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2018)

Article Thermodynamics

Dynamic optimization of natural gas networks under customer demand uncertainties

Hesam Ahmadian Behrooz et al.

ENERGY (2017)

Article Energy & Fuels

Minimizing fuel consumption of a gas pipeline in transient states by dynamic programming

Xiaorui Zhang et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)

Article Energy & Fuels

Transient simulation of gas pipeline networks using intelligent methods

Reza Madoliat et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)

Review Energy & Fuels

Optimization problems in natural gas transportation systems: A state-of-the-art review

Roger Z. Rios-Mercado et al.

APPLIED ENERGY (2015)

Review Green & Sustainable Science & Technology

Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections

Gokhan Aydin

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)

Article Energy & Fuels

Optimal operation of trunk natural gas pipelines via an inertia-adaptive particle swarm optimization algorithm

Xia Wu et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2014)

Article Energy & Fuels

Assessing and optimization of pipeline system performance using intelligent systems

Mohamad MohamadiBaghmolaei et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2014)

Article Energy & Fuels

A state space model for transient flow simulation in natural gas pipelines

R. Alamian et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2012)

Article Energy & Fuels

The accuracy and efficiency of a MATLAB-Simulink library for transient flow simulation of gas pipelines and networks

M. Behbahani-Nejad et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2010)

Article Computer Science, Interdisciplinary Applications

Improving the operation of pipeline systems on cyclic structures by tabu search

Conrado Borraz-Sanchez et al.

COMPUTERS & CHEMICAL ENGINEERING (2009)

Article Mechanics

Nonisothermal transient flow in natural gas pipeline

M. Abbaspour et al.

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2008)