scholarly journals Energy Commitment for a Power System Supplied by Multiple Energy Carriers System using Following Optimization Algorithm

2020 ◽  
Vol 10 (17) ◽  
pp. 5862 ◽  
Author(s):  
Mohammad Dehghani ◽  
Mohammad Mardaneh ◽  
Om Parkash Malik ◽  
Josep M. Guerrero ◽  
Ruben Morales-Menendez ◽  
...  

In today’s world, the development and continuation of life require energy. Supplying this energy demand requires careful and scientific planning of the energy provided by a variety of products, such as oil, gas, coal, electricity, etc. A new study on the operation of energy carriers called Energy Commitment (EC) is proposed. The purpose of the EC is to set a pattern for the use of energy carriers to supply energy demand, considering technical and economic constraints. EC is a constrained optimization problem that can be solved by using optimization methods. This study suggests the Following Optimization Algorithm (FOA) to solve the EC problem to achieve technical and economic benefits. Minimizing energy supply costs for the total study period is considered as an objective function. The FOA simulates social relationships among the community members who try to improve their community by following each other. Simulation is carried out on a 10-unit energy system supplied by various types of energy carriers that includes transportation, agriculture, industrial, residential, commercial, and public sectors. The results show that the optimal energy supply for a grid with 0.15447 Millions of Barrels of Oil Equivalent (MBOE) of energy demand costs 9.0922 millions dollar for a 24-h study period. However, if the energy supply is not optimal, the costs of operating energy carriers will increase and move away from the optimal economic situation. The economic distribution of electrical demand between 10 power plants and the amount of production units per hour of the study period is determined. The EC outputs are presented, which include an appropriate pattern of energy carrier utilization, energy demand supply costs, appropriate combination of units, and power plant production. The behavior and process of achieving the answer in the convergence curve for the implementation of FOA on EC indicates the exploration and exploitation capacity of FOA. Based on the simulated results, EC provides more information than Unit Commitment (UC) and analyzes the network more efficiently and deeply.

2021 ◽  
Vol 11 (4) ◽  
pp. 1819
Author(s):  
Roman Geyer ◽  
Sophie Knöttner ◽  
Christian Diendorfer ◽  
Gerwin Drexler-Schmid ◽  
Verena Alton

The need for decarbonization raises several questions. How can renewable energy supply for the industrial sector be realized in the long term? Furthermore, how must the existing energy system be transformed to achieve the ambitious climate targets in place? In Austria, the share of renewable energy supplying industrial energy demand currently accounts for only 45% of final energy consumption. This clearly shows that a conversion of industrial energy systems is necessary. Different ambitious perspectives for a renewable energy supply for the Austrian industrial sector are calculated for three defined scenarios (base, efficiency, transition) in this paper. In addition, corresponding requirements for the energy infrastructures are discussed. The scenario results show a range of industrial final energy consumption from 78 TWh (efficiency) to 105 TWh (transition) through decarbonizing the industrial energy supply (cf. 87 TWh in 2019). Decarbonization requires an increasing shift towards electrical energy, especially in the transition scenario, whereas in the base and efficiency scenarios, biogenic fuels play an important role. Comprehensive decarbonization and the associated substitution of energy carriers in industry pose significant challenges for the existing energy infrastructure, its expansion, and optimization.


2020 ◽  
Vol 12 (23) ◽  
pp. 10053
Author(s):  
Mohammad Dehghani ◽  
Mohammad Mardaneh ◽  
Om P. Malik ◽  
Josep M. Guerrero ◽  
Carlos Sotelo ◽  
...  

In recent years, energy consumption has notably been increasing. This poses a challenge to the power grid operators due to the management and control of the energy supply and consumption. Here, energy commitment is an index criterion useful to specify the quality level and the development of human life. Henceforth, continuity of long-term access to resources and energy delivery requires an appropriate methodology that must consider energy scheduling such as an economic and strategic priority, in which primary energy carriers play an important role. The integrated energy networks such as power and gas systems lead the possibility to minimize the operating costs; this is based on the conversion of energy from one form to another and considering the starting energy in various types. Therefore, the studies toward multi-carrier energy systems are growing up taking into account the interconnection among various energy carriers and the penetration of energy storage technologies in such systems. In this paper, using dynamic programming and genetic algorithm, the energy commitment of an energy network that includes gas and electrical energy is carried out. The studied multi-carrier energy system has considered defending parties including transportation, industrial and agriculture sectors, residential, commercial, and industrial consumers. The proposed study is mathematically modeled and implemented on an energy grid with four power plants and different energy consumption sectors for a 24-h energy study period. In this simulation, an appropriate pattern of using energy carriers to supply energy demand is determined. Simulation results and analysis show that energy carriers can be used efficiently using the proposed energy commitment method.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 658
Author(s):  
Elmar Zozmann ◽  
Leonard Göke ◽  
Mario Kendziorski ◽  
Citlali Rodriguez del Angel ◽  
Christian von Hirschhausen ◽  
...  

The urgency to combat climate change and the widely distributed, increasingly competitive renewable resources in North America are strong arguments to explore scenarios for a renewable energy supply in the region. While the current power system of North America is heavily dependent on fossil fuels, namely natural gas, coal and oil, and some nuclear power plants, some current policies at the state level, and future federal policies are likely to push the share of different renewable sources available in Mexico, the U.S., and Canada. This paper explores three scenarios for a renewable energy supply, using a bottom-up energy system model with a high level of spatial and time granularity. The scenarios span the extremes with respect to connecting infrastructure: while one scenario only looks at state-level supply and demand, without interconnections, the other extreme scenario allows cross-continental network investments. The model results indicate that the North American continent (a) has sufficient renewable potential to satisfy its energy demand with renewables, independent of the underlying grid assumption, (b) solar generation dominates the generation mix as the least-cost option under given renewable resource availability and (c) simultaneous planning of generation and transmission capacity expansion does not result in high grid investments, but the necessary flexibility to integrate intermittent renewable generation is rather provided by the existing grid in combination with short-term and seasonal storages.


2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.


Author(s):  
Jan Fabian Feldhoff ◽  
Carina Hofmann ◽  
Stefan Hübner ◽  
Jan Oliver Kammesheidt ◽  
Martin Kilbane ◽  
...  

It is broadly accepted that current energy systems should become more sustainable in both a global and local context. However, setting common goals and shared objectives and determining the appropriate means by which to get there is the subject of heavy debate. Therefore, the American Society of Mechanical Engineers (ASME) and the German Association of Engineers (VDI) initiated a joint project aimed at providing a young engineers’ perspective to the global energy conversation. The young engineer project teams set a common goal of assembling a completely sustainable energy system for the U.S. and Germany by 2050. This includes not only the electricity market, but the overall energy system. Based on the current global energy paradigm, a completely sustainable energy system seems very ambitious. However, multiple analyses show that this path is possible and would in the medium to long run not only be desirable, but also competitive in the market. This future ‘energy puzzle’ consists of many important pieces, and the overall picture must be shaped by an overarching strategy of sustainability. Besides the many detailed pieces, four main critical issues must be addressed by engineers, politicians and everybody else alike. These challenges are: i) Rational use of energy: This uncomfortable topic is rather unappealing to communicate, but is a key issue to reduce energy demand and to meet the potentials of renewable energy carriers. ii) Balancing of electricity demand and generation: This is a challenge to the electricity markets and infrastructures that are currently designed for base-load, mainly fossil power plants. The overall mix of renewable energy generation, storage technologies, grid infrastructure, and power electronics will decide how efficient and reliable a future energy system will be. iii) Cost efficiency and competitiveness: It is a prerequisite for industrialized countries to stay competitive and to establish RE in the market. Developing economic technologies while at the same time establishing a strong RE market is the secret of success. iv) Acceptance of the system and its consequences: The best energy strategy cannot be realized without broad public acceptance for it. Therefore, the understanding of the energy technologies and an objective discussion must be promoted — without old fashioned emotionalizing of certain risks. The paper will present details on the four mentioned aspects, compare the situations between the U.S. and Germany, and propose solutions for appropriate political frame conditions to achieve a sustainable energy system.


Author(s):  
Hasan Dinçer ◽  
Hüsne Karakuş ◽  
Ulf Henning Richter

The establishment of wave power plants helps the country reduce its dependence on fossil resources. In this regard, the country is least affected by the changes in fossil resource prices. Energy supply security is ensured when the sustainability and availability of electrical energy obtained from wave energy is ensured. This is an important issue for the development of the country's economy. Therefore, attention should be paid to the effect of studies on wave energy on energy supply security. In this study, it is aimed to explain the theoretical structure of wave energy and its importance in terms of energy supply security of the country. In this study, it is intended to generate appropriate strategies for Turkey to improve wave energy system. For this purpose, four different criteria are defined based on balanced scorecard methodology which are finance, customer, organizational effectiveness, and research and development. An evaluation has been conducted by DEMATEL methodology. It is identified that finance is the most significant criterion for Turkey to improve wave energy projects.


2007 ◽  
pp. 104-122 ◽  
Author(s):  
I. Bashmakov

The paper presents a vision of Russian energy future before 2020. The scenario approach is required to identify potential energy supply and demand future trajectories for Russia facing uncertainties of both global energy system evolution and domestic demographic and economic development in 2007-2020. It allows for assessing energy demand by sectors under different investment, technological and energy pricing policies favoring the least cost balancing of energy supply options and energy efficiency improvements to sustain dynamic economic growth. The given approach provides grounds for evaluation of different energy policies effectiveness. Three scenarios - "Inertia Strategy", "Energy Centrism", and "Efficiency Strategy - Four I" - integral-innovative-intellectual-individual oriented energy systems - are considered in the paper. It shows that ignorance of the last scenario escalates either energy shortages in the country or Russian economy overloading with energy supply investments both preventing from sustaining rates of economic growth which have recently been demonstrated by Russia.


2016 ◽  
Vol 138 (6) ◽  
Author(s):  
Alberto Romero ◽  
Monica Carvalho ◽  
Dean L. Millar

Mining operations are located in increasingly remote areas in order to search for relatively high-grade mineral deposits, despite the challenges that arise. These challenges are fundamentally logistic and directly impact the profitability of the remote operation. One of the main challenges is energy supply, since locations that lack a power grid, fuel pipelines, or adequate—if existing—road access have substantially increased energy-related operating costs. Today, a remote mine's energy costs add up to 40% of total operating expenses; this is in contrast with grid-connected, accessible mines, where the energy costs seldom reach 20% of the total. In searching for more cost-effective energy supply options, the present work uses the optimal mine site energy supply (OMSES) concept to optimize the design and operation schedule of a remote underground mine's energy supply system (ESS). Energy demand, weather, and economic data were collected and processed, emulating a remote mine in the Northwest Territories, Canada. The optimal energy system minimized the total cost of the energy supply, which included not only the operation cost but also the annuitized capital investment in equipment. Subsequently, the optimal system's design for the considered demands and environmental factors was subject to simulation and control optimization. Wind power was included in the formulation. Issues such as the necessary spinning reserve and the penetration curtailment, among others, were analyzed, both in the design and the control problems. The present work identified potential improvements for the integrated design (ID) and control of a remote mine's energy system, in particular when including a renewable energy resource with a considerable level of variability, i.e., wind. The optimal solution included the installation of two wind turbines (WTs), achieving 3% diesel savings with a 20% increase of investment compared with the conventional design. The model was validated with a real project—the Diavik Diamond Mine ESS, which included a wind farm with four turbines. A model predictive control (MPC) approach was chosen to optimize scheduling in a simulation with variable conditions of wind speed and ambient temperature; this proved to be a convenient method to assess the robustness of optimal designs. Results also confirmed the limitations of design optimization when uncertainties related to wind energy were ignored.


Author(s):  
Bagio Mudakir

This study is intended to determine factors influencing the demand of electricity energy in Central Java. The increasing demand of energy might create a shortage or crisis due to a relatively constant of energy supply. It is because a very high costs for constructing energy power plants. The increasing energy demand over economic growth might create a question, what is the influence of economic activities toward the demand of electricity energy. It is also a problem whether energy demand utilizedas production factor in the economy or consumed as final goods.


2013 ◽  
Vol 47 (4) ◽  
pp. 2111 ◽  
Author(s):  
R. G. Oskay ◽  
H. Inaner ◽  
A. I. Karayigit ◽  
K. Christanis

In the last two decades electricity generation and consumption in Turkey was increasing steadily. Around 80% of the electricity generated is derived from fossil fuels such as imported natural gas and oil, and domestic coal. As the energy policy now is focusing on reducing the dependency on imported fuels, coal, particularly this of low-rank, is becoming important for the country. Latest explorations showed that total coal reserves of Turkey reach to 13 Gt with low-rank coals (i.e. lignite and sub-bituminous) being dominant. Coal deposits, formed under various conditions and in various geological times, are widely spread over the territory. The most significant deposits are of Tertiary, especially Neogene age. Neogene coals are most appropriate for combustion in the thermal power plants due to the high total reserves despite the high ash yields and the low calorific values. We imply that applying reasonable exploitation planning and appropriate washing techniques, coal will play a key role in future energy supply of the country.


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