scholarly journals Optimal Design Model of the Energy Systems in Iron and Steel Enterprises

2019 ◽  
Vol 9 (22) ◽  
pp. 4778 ◽  
Author(s):  
Zhengbiao Hu ◽  
Dongfeng He ◽  
Kai Feng ◽  
Pingze Liu ◽  
Yongwei Jia
Keyword(s):  
Energy Source ◽  
Energy Conversion ◽  
Optimization Design ◽  
Design Method ◽  
Energy Systems ◽  
Optimization Methods ◽  
Energy System ◽  
Economic Benefits ◽  
Steel Plant ◽  
Energy Sources

In steel enterprises, the design of energy systems mainly depends on experience and lacks systematic optimization methods. Therefore, it is of great significance to propose an overall optimization design method for the energy system of steel enterprises. In this paper, a linear model is proposed to select the energy conversion equipment types and distribute energy sources with the aim of maximizing the economic benefits of an energy system. In the model, the choice of energy conversion technology and the distribution of energy source are considered comprehensively. For the S steel plant, the case analysis results show that under the condition of keeping the original energy conversion equipment unchanged and optimizing the distribution of energy source, the economic benefits of the energy system can be increased by 15.77 CNY/t steel, and under the conditions of optimizing the distribution schemes of the energy conversion equipment types and energy sources, the economic benefits of the energy system can be increased by 180.26 CNY/t steel. In addition, the effects of different energy conversion equipment configurations, different energy sources prices and different pollution cost standards on the steel plant energy economic benefits were analyzed.

scholarly journals Economic Dispatch of Multi-Energy System Considering Load Replaceability

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 570 ◽  
Author(s):  
Tao Zheng ◽  
Zemei Dai ◽  
Jiahao Yao ◽  
Yufeng Yang ◽  
Jing Cao
Keyword(s):  
Energy Conversion ◽  
Interaction Mechanism ◽  
Energy Systems ◽  
Energy System ◽  
Economic Benefits ◽  
The Other ◽  
Energy Conversion Systems ◽  
Scheduling Strategies ◽  
Design Scheduling ◽  
Planning And Operation

By integrating gas, electricity, and cooling and heat networks, multi-energy system (MES) breaks the bondage of isolated planning and operation of independent energy systems. Appropriate scheduling of MES is critical to the operational economy, and it is essential to design scheduling strategies to achieve maximum economic benefits. In addition to the emergence of energy conversion systems, the other main novelty of MES is the multivariate of load, which offers a great optimization potential by changing load replaceability (flexibly adjusting the composition of loads). In this paper, by designing load replaceability index (LRI) of composite load in MES, its interaction mechanism with scheduling optimum is systematically analyzed. Through case studies, it is proven that the optimum can be improved by elevating load replaceability.

scholarly journals Energy Flexibility as Additional Energy Source in Multi-Energy Systems with District Cooling

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 519
Author(s):  
Alice Mugnini ◽  
Gianluca Coccia ◽  
Fabio Polonara ◽  
Alessia Arteconi
Keyword(s):  
Energy Source ◽  
Energy Demand ◽  
Energy Systems ◽  
Energy System ◽  
Energy Performance ◽  
Primary Energy ◽  
Energy Sources ◽  
Variable Load ◽  
Additional Energy ◽  
The Impact

The integration of multi-energy systems to meet the energy demand of buildings represents one of the most promising solutions for improving the energy performance of the sector. The energy flexibility provided by the building is paramount to allowing optimal management of the different available resources. The objective of this work is to highlight the effectiveness of exploiting building energy flexibility provided by thermostatically controlled loads (TCLs) in order to manage multi-energy systems (MES) through model predictive control (MPC), such that energy flexibility can be regarded as an additional energy source in MESs. Considering the growing demand for space cooling, a case study in which the MPC is used to satisfy the cooling demand of a reference building is tested. The multi-energy sources include electricity from the power grid and photovoltaic modules (both of which are used to feed a variable-load heat pump), and a district cooling network. To evaluate the varying contributions of energy flexibility in resource management, different objective functions—namely, the minimization of the withdrawal of energy from the grid, of the total energy cost and of the total primary energy consumption—are tested in the MPC. The results highlight that using energy flexibility as an additional energy source makes it possible to achieve improvements in the energy performance of an MES building based on the objective function implemented, i.e., a reduction of 53% for the use of electricity taken from the grid, a 43% cost reduction, and a 17% primary energy reduction. This paper also reflects on the impact that the individual optimization of a building with a multi-energy system could have on other users sharing the same energy sources.

Simulation und Optimierung kombiniert/A simulation-based framework for operational optimization of industrial energy systems

2020 ◽  
Vol 110 (01-02) ◽  
pp. 12-17
Author(s):  
Niklas Panten ◽  
Heiko Ranzau ◽  
Thomas Kohne ◽  
Daniel Moog ◽  
Eberhard Abele ◽  
...  
Keyword(s):  
Synthetic Data ◽  
Cost Savings ◽  
Energy Systems ◽  
Decisive Role ◽  
Optimization Methods ◽  
Energy System ◽  
Significant Cost ◽  
Operational Optimization ◽  
Simulation Based ◽  
Industrial Energy

Die optimierte Betriebsweise von industriellen Energiesystemen ist eine Schlüsseltechnologie, um signifikante Kosteneinsparpotenziale durch Steigerung der Energieeffizienz und -flexibilität zu heben. Weil dabei eine Vielzahl dynamischer und stochastischer Einflüsse berücksichtigt werden müssen, spielt die Simulation des Energiesystems eine entscheidende Rolle. Zur Evaluierung unterschiedlicher Betriebsoptimierungsverfahren wird ein simulationsgestütztes Framework vorgestellt, welches bei KI (Künstliche Intelligenz)-Algorithmen unter anderem für das Anlernen mit synthetischen Daten verwendet werden kann.   The optimized operation of industrial energy systems is a key technology to unlock significant cost savings by increasing energy efficiency and flexibility. Since a variety of dynamic and stochastic influences must be considered, the simulation of the energy system plays a decisive role. A simulation-based framework is presented for evaluating various operational optimization methods, which can also be used for learning based on synthetic data with AI (artificial intelligence) algorithms.

scholarly journals Integrated Optimization Design of Combined Cooling, Heating, and Power System Coupled with Solar and Biomass Energy

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 687 ◽  
Author(s):  
Lizhi Zhang ◽  
Fan Li ◽  
Bo Sun ◽  
Chenghui Zhang
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Optimization Design ◽  
Design Method ◽  
Renewable Energy Sources ◽  
Optimal Operation ◽  
Biomass Energy ◽  
System Structure ◽  
Energy Sources ◽  
Combined Cooling

The combined cooling, heating, and power (CCHP) systems coupled with solar energy and biomass energy can meet the needs of island or rural decentralized and small-scale integrated energy use, which have become increasingly popular in recent years. This study presents a renewable energy sources integrated combined cooling, heating, and power (RES-CCHP) system, driven by a biogas fueled internal combustion engine (ICE) and photovoltaic (PV) panels, which is different from the traditional natural gas CCHP system. Owing to the solar energy volatility and the constraint of biomass gas production, the traditional optimization design method is no longer applicable. To improve the energetic, economic and environmental performances of the system, an integrated design method with renewable energy capacity, power equipment capacity and key operating parameters as optimization variables is proposed. In addition, a case study of a small farm in Jinan, China, is conducted to verify the feasibility of the proposed RES–CCHP system structure and the corresponding optimal operation strategy. The results illustrate that the implementation of the optimal design is energy-efficient, economical and environmentally-friendly. The values of primary energy saving ratio, annual total cost saving rate and carbon emission reduction ratio are 20.94%, 11.73% and 40.79%, respectively. Finally, the influence of the volatility of renewable energy sources on the optimization method is analyzed, which shows that the RES–CCHP system and the method proposed are robust.

scholarly journals GREEN ENERGY: SALVATION OR THREAT TO THE GLOBAL ECONOMIC AND ENERGY SYSTEM

2021 ◽  
Author(s):  
Sergiy Korinnyi ◽  
Mariia Mikhailutsa ◽  
Anastasiia Bondarenko
Keyword(s):  
Energy Storage ◽  
Alternative Energy ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy System ◽  
Green Energy ◽  
Human Potential ◽  
Energy Sources ◽  
The World

The article examines a set of issues related to "green energy" in the world, problems and opportunities from the introduction of alternative energy sources for greening the economy, developing sustainable economy and preserving human potential. Analytical works of some Ukrainian authors have been studied, in which the current state, obstacles to the realization and prospects of "green energy" in the world have been determined. The purpose of the article is to refute the allegations about the need to immediately stop the introduction of "green technologies", including the construction of solar stations. There are two opposing views on the need for green energy, which have been being discussed around the world for the past few decades. The most popular evidence from both sides on this issue is given, in particular, that the planet can be saved only through the active use of renewable energy sources, and on the other hand, that "green energy" at the current level of human development will cause even more environmental and economic problems. The arguments most often expressed by opponents of the active introduction of "green energy" are highlighted, namely: the high cost of new technologies compared to existing types of generation; the inability of "green energy" to solve the problem of warming on the planet with reference to scientific research on the amount of CO2 emissions from different types of generation as a major factor in warming; danger to the energy systems of all countries of the world due to the instability of energy production by natural factors. Counter-arguments on these issues are provided and evidence of the ability and necessity to use clean technologies is provided. The problem, on which the opinions of both parties coincide, is highlighted - the reluctance of "green" investors to spend money on storage systems, energy storage and stabilization of energy systems due to their high cost, size, insufficient energy consumption and insufficient duration of work. It is noted that the issue of developing the latest energy storage and stabilization systems and their installation at new and existing RES stations needs to be addressed immediately, but is not an obstacle to the further development of green energy.

scholarly journals Heading Towards 100% of Renewable Energy Sources Fraction: a critical overview on Smart Energy Systems planning and flexibility measures

2020 ◽  
Vol 197 ◽  
pp. 01003
Author(s):  
Lorenzo Mario Pastore ◽  
Gianluigi Lo Basso ◽  
Matteo Sforzini ◽  
Livio de Santoli
Keyword(s):  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy System ◽  
Energy Planning ◽  
Energy Sources ◽  
International Studies ◽  
Main Challenge ◽  
Smart Energy Systems ◽  
New Energy ◽  
Flexibility Measures

The growing penetration of non-programmable energy sources will largely contribute to intensify the renewable capacity firming issues. Providing a higher systems flexibility, i.e. the ability to match the supply and the demand sides as much as possible, is the main challenge to cope with, by adopting new energy planning paradigms. In this framework, different combined strategies, aiming at efficiently integrating that large amount of variable RES (VRES), have to be implemented. In the recent years, the Smart Energy Systems (SES) concept has been introduced to overcome the single-sector approach, promoting a holistic and integrated vision. By that approach, it is possible to exploit synergies between different energy sectors so as to identify the best technical options to globally reduce the primary fossil energy consumption. Starting from a quantitative and qualitative analysis of the most recent international studies dealing with the SES approach, the aim of this paper is to critically review and analyse the role of the main potential flexibility measures applied in the energy planning sector. In detail, Power-to-X and Demand Side Management (DSM) application have been considered, highlighting strengths and weaknesses of such strategies to accomplish the ambitious target of 100% renewable. From this literature review, it emerges how a single strategy adoption is not enough to guarantee the required flexibility level for the whole energy system. Indeed, the best configuration can be attained by integrating different options matching all the external constraints.

scholarly journals Possibilities of Transition from Centralized Energy Systems to Distributed Energy Sources in Large Polish Cities

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6007
Author(s):  
Dorota Chwieduk ◽  
Wojciech Bujalski ◽  
Bartosz Chwieduk
Keyword(s):  
Energy Consumption ◽  
Distribution Systems ◽  
Residential Buildings ◽  
Energy Systems ◽  
Energy System ◽  
Energy Sources ◽  
Distributed Energy ◽  
Micro Scale ◽  
Pv Systems ◽  
Reduce Energy Consumption

The main aim of this paper is to evaluate the possible transition routes from the existing centralized energy systems in Polish cities to modern low-emission distributed energy systems based on locally available energy sources, mainly solar energy. To evaluate these possibilities, this paper first presents the current structure of energy grids and heating networks in Polish cities. A basic review of energy consumption in the building sector is given, with emphasis on residential buildings. This paper deals with the evaluation of the effectiveness of operation of central district heating systems and heat distribution systems; predicts the improvement in the effectiveness of the energy production, distribution, and use; and analyzes the possible integration of the existing system with distributed energy sources. The possibility of the introduction of photovoltaic (PV) systems to reduce energy consumption by residential buildings in a big city (Warsaw) is analyzed. It is assumed that some residential buildings, selected because of their good solar insolation conditions, can be equipped with new PV installations. Electricity produced by the PV systems can be used on site and/or transferred to the grid. PV energy can be used not only for lighting and electrical appliances in homes but also to drive micro- and small-scale heat pumps. It is assumed that the PV modules are located on roofs of residential buildings and are treated as individual micro scale energy systems of installed capacity not larger than 50 kW for each of the buildings. In such a case, the micro energy system can use the grid as a virtual electricity store of 70% or 80% efficiency and can produce and transfer electricity using a net-metering scheme. The results show that the application of micro-scale PV systems would help residential buildings to be more energy efficient, reduce energy consumption based on fossil fuels significantly, and even if the grid cannot be used as a virtual electricity store then the direct self-consumption of buildings can reduce their energy consumption by 30% on average. Development of micro-scale PV systems seems to be one of the most efficient options for a quick transformation of the centralized energy system in large Polish cities to a distributed energy one based on individual renewable energy sources.

scholarly journals A Practical Method for Speeding up the Cavitation Prediction in an Industrial Double-Suction Centrifugal Pump

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2088 ◽  
Author(s):  
Ji Pei ◽  
Majeed Koranteng Osman ◽  
Wenjie Wang ◽  
Desmond Appiah ◽  
Tingyun Yin ◽  
...  
Keyword(s):  
Centrifugal Pump ◽  
Optimization Design ◽  
Design Method ◽  
Computation Time ◽  
Practical Method ◽  
Optimization Methods ◽  
Test Case ◽  
Pump Design ◽  
Alternative Approach ◽  
Critical Cavitation

Researches have over the past few years have been applying optimization algorithms to quickly find optimum parameter combinations during cavitation optimization design. This method, although better than the traditional trial-and-error design method, consumes lots of computational resources, since it involves several numerical simulations to determine the critical cavitation point for each test case. As such, the Traditional method for NPSHr prediction was compared to a novel and alternative approach in an axially-split double-suction centrifugal pump. The independent and dependent variables are interchanged at the inlet and outlet boundary conditions, and an algorithm adapted to estimate the static pressure at the pump outlet. Experiments were conducted on an original size pump, and the two numerical procedures agreed very well with the hydraulic and cavitation results. For every flow condition, the time used by the computational resource to calculate the NPSHr for each method was recorded and compared. The total number of hours used by the new and alternative approach to estimate the NPSHr was reduced by 54.55% at 0.6 Qd, 45.45% at 0.8 Qd, 50% at 1.0 Qd, and 44.44% at 1.2 Qd respectively. This new method was demonstrated to be very efficient and robust for real engineering applications and can, therefore, be applied to reduce the computation time during the application of intelligent cavitation optimization methods in pump design.

Structural Reliability Optimization with Fourier Orthogonal Neural Network Method

2013 ◽  
Vol 834-836 ◽  
pp. 1907-1910
Author(s):  
Li Rong Sha ◽  
Yue Yang
Keyword(s):  
Neural Network ◽  
Optimization Design ◽  
Structural Reliability ◽  
Mathematical Optimization ◽  
Minimum Cost ◽  
Optimization Methods ◽  
Economic Benefits ◽  
Fatigue Reliability ◽  
Neural Network Method ◽  
Network Method

The structural optimization design considering reliability requirements was proposed based on Fourier orthogonal neural network method. The reliability-based optimization design of the structure is a combination of the structural reliability theory and mathematical optimization methods. The Fourier orthogonal neural network was used to analysis reliability of the structure and also to simulate the relationship between the fatigue reliability and geometry dimension of the structure. The structural reliability requirements were taken as constraints while the structural volume as the objective function, with Fourier orthogonal neural network method, the optimization results of the structure was obtained with a minimum cost, thus can make technical and economic benefits besides the structural reliability.

Design and Optimization of Injector Structure in Diesel Engine Based on ISIGHT Platform DOE Methods

2011 ◽  
Vol 335-336 ◽  
pp. 1376-1380
Author(s):  
Xin Ying Wu ◽  
Guang Yao Ouyang ◽  
Yu Xue Li
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Optimization Design ◽  
Design Method ◽  
Optimization Methods ◽  
Multidisciplinary Design ◽  
Design And Optimization ◽  
Traditional Design ◽  
Improved Performance

The traditional design method of injector structure cannot meet the demand of farther improved performance,the change of modern environment demand not only the optimization of one performance but also the optimization of various comprehensive performance.iSIGHT is a multidisciplinary design optimization platform that offer a integrated designenvironment and advanced design optimization methods. The optimization design of injector structure based on design of experiment of iSIGHT platform to improve the spray quality of injector is implemented.

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