scholarly journals Monthly Electricity Consumption Forecasting Method Based on X12 and STL Decomposition Model in an Integrated Energy System

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Tianhe Sun ◽  
Tieyan Zhang ◽  
Yun Teng ◽  
Zhe Chen ◽  
Jiakun Fang
Keyword(s):  
Power Consumption ◽  
Rapid Development ◽  
Electricity Consumption ◽  
Energy System ◽  
Small Scale ◽  
Power Demand ◽  
Distributed Energy ◽  
Strategic Competition ◽  
Integrated Energy System ◽  
Monthly Electricity Consumption

With the rapid development and wide application of distributed generation technology and new energy trading methods, the integrated energy system has developed rapidly in Europe in recent years and has become the focus of new strategic competition and cooperation among countries. As a key technology and decision-making approach for operation, optimization, and control of integrated energy systems, power consumption prediction faces new challenges. The user-side power demand and load characteristics change due to the influence of distributed energy. At the same time, in the open retail market of electricity sales, the forecast of electricity consumption faces the power demand of small-scale users, which is more easily disturbed by random factors than by a traditional load forecast. Therefore, this study proposes a model based on X12 and Seasonal and Trend decomposition using Loess (STL) decomposition of monthly electricity consumption forecasting methods. The first use of the STL model according to the properties of electricity each month is its power consumption time series decomposition individuation. It influences the factorization of monthly electricity consumption into season, trend, and random components. Then, the change in the characteristics of the three components over time is considered. Finally, the appropriate model is selected to predict the components in the reconfiguration of the monthly electricity consumption forecast. A forecasting program is developed based on R language and MATLAB, and a case study is conducted on the power consumption data of a university campus containing distributed energy. Results show that the proposed method is reasonable and effective.

Numerical Study of a Micro Gas Turbine Integrated With a Supercritical CO2 Brayton Cycle Turbine

2018 ◽  
Author(s):  
Fabrizio Reale ◽  
Vincenzo Iannotta ◽  
Raffaele Tuccillo
Keyword(s):  
Gas Turbines ◽  
Waste Heat ◽  
Numerical Study ◽  
Organic Rankine Cycle ◽  
Energy Systems ◽  
Rankine Cycle ◽  
Energy System ◽  
Small Scale ◽  
Brayton Cycle ◽  
Integrated Energy System

The primary need of reducing pollutant and greenhouse gas emissions has led to new energy scenarios. The interest of research community is mainly focused on the development of energy systems based on renewable resources and energy storage systems and smart energy grids. In the latter case small scale energy systems can become of interest as nodes of distributed energy systems. In this context micro gas turbines (MGT) can play a key role thanks to their flexibility and a strategy to increase their overall efficiency is to integrate gas turbines with a bottoming cycle. In this paper the authors analyze the possibility to integrate a MGT with a super critical CO2 Brayton cycle turbine (sCO2 GT) as a bottoming cycle (BC). A 0D thermodynamic analysis is used to highlight opportunities and critical aspects also by a comparison with another integrated energy system in which the waste heat recovery (WHR) is obtained by the adoption of an organic Rankine cycle (ORC). While ORC is widely used in case of middle and low temperature of the heat source, s-CO2 BC is a new method in this field of application. One of the aim of the analysis is to verify if this choice can be comparable with ORC for this operative range, with a medium-low value of exhaust gases and very small power values. The studied MGT is a Turbec T100P.

LNG Distributed Energy Brings New Opportunity for Port Power Optimization in China

2014 ◽  
Vol 1073-1076 ◽  
pp. 2634-2636
Author(s):  
Jing Zhu ◽  
Qun Gu
Keyword(s):  
Rapid Growth ◽  
Growth And Development ◽  
Power Optimization ◽  
Energy System ◽  
Small Scale ◽  
Distributed Energy ◽  
The Future ◽  
Distributed Energy System ◽  
Good For

This article tries to bring you an idea that using LNG distributed energy system in domestic ports. Ports used LNG instead of diesel as fuel for container trailers and bulk cargo loaders. The quantity of LNG consumption of port is in small scale with this way. LNG distributed energy will be good for port power optimization. It can decrease emission and improve port environment. Under the rapid growth and development of LNG application in China, it’s time to study this subject now. At the end of article, the author gives some questions about how to well use LNG distributed energy for deep studies in the future.

Multi criteria dynamic design optimization of a small scale distributed energy system

Energy ◽  
2014 ◽  
Vol 74 ◽  
pp. 230-239 ◽  
Author(s):  
Andreas Rieder ◽  
Andreas Christidis ◽  
George Tsatsaronis
Keyword(s):  
Design Optimization ◽  
Energy System ◽  
Small Scale ◽  
Distributed Energy ◽  
Dynamic Design ◽  
Distributed Energy System

scholarly journals Analysis of User Energy Consumption Patterns Based on Data Mining

2020 ◽  
Vol 213 ◽  
pp. 02040
Author(s):  
Weitao Liu ◽  
Fuqing Wang ◽  
Hang Shi ◽  
Yan Zhang ◽  
Ruobo Chen
Keyword(s):  
Energy Consumption ◽  
Behavior Analysis ◽  
Energy Use ◽  
Electricity Consumption ◽  
Energy System ◽  
Management Service ◽  
Consumption Behavior ◽  
User Classification ◽  
Integrated Energy System ◽  
Use Behavior

The energy use behavior analysis method can dig out the user’s energy use behavior rules from the energy use big data, thereby improving the quality of the grid-side management service in the integrated energy system. Firstly, it summarizes the characteristics of the integrated energy system and constructs the integrated energy system service system; secondly, it summarizes the data-driven electricity consumption behavior analysis research model. Then, it elaborates on the collection and aggregation of electricity consumption information, and refined user classification. Next, the comprehensive application of energy consumption behavior analysis in load forecasting, demand response modeling and other typical scenarios is deeply analyzed. Finally, the challenges that may be encountered in further research are clarified and the follow-up work is prospected.

scholarly journals Location planning of distributed energy stations based on improved P-median model

2021 ◽  
Vol 256 ◽  
pp. 02009
Author(s):  
Zhengji Meng ◽  
Xiaoguang Hao ◽  
Shiyan Liu ◽  
Jianfeng Li
Keyword(s):  
Energy Demand ◽  
Energy Use ◽  
Transportation Network ◽  
Effective Means ◽  
Energy System ◽  
Weight Coefficient ◽  
Distributed Energy ◽  
Increase Energy Efficiency ◽  
Integrated Energy Systems ◽  
Integrated Energy System

The integrated energy system creates the possibility for the interconnection and coordination of different energy sources, and is an effective means to improve the energy use of the system, increase energy efficiency, and reduce environmental pollution. At present, the planning of distributed energy stations for integrated energy systems mostly focuses on equipment selection and equipment capacity. However, there are relatively few studies on the location of energy stations and pipeline layout planning. Firstly, this paper proposes a distributed energy station location method based on the improved p-median model, which combines the energy supply path of the energy station with the actual transportation network, and introduces the weight coefficient of multi energy load to reflect the diversity of energy demand of load. Finally, the specific solution method is given, and the rationality and feasibility of the proposed method are verified by an example.

scholarly journals Research on Interactive Scenarios and Mechanisms of Energy Supply and Use Modules of Park-level Integrated Energy System

2021 ◽  
Vol 236 ◽  
pp. 02007
Author(s):  
Zhao Pengxiang ◽  
Li Na ◽  
Li Zhiyuan ◽  
Wang Nan
Keyword(s):  
Energy Supply ◽  
Interaction Mechanism ◽  
Energy Systems ◽  
Clean Energy ◽  
Energy System ◽  
Distributed Energy ◽  
Energy Internet ◽  
Energy Storage Technology ◽  
Integrated Energy System ◽  
Smart Grid Technology

The integrated energy system can realize the complementary advantages of multiple energy sources and effectively solve the problem of low integrated energy efficiency of traditional energy systems. Carrying out research on the interactive scenarios and mechanisms of the energy supply and use modules of the integrated energy system is conducive to promoting the development of clean energy and promoting the indepth integration of energy Internet and distributed energy technology, smart grid technology, and energy storage technology. First, it summarizes the scenarios of the energy supply and use modules of the integrated energy system, and analyzes the interaction mechanism and paths of the energy supply and use modules of the integrated energy system on this basis.

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