Energy Network Operation in the Supercomputing Era

Author(s):  
Tianxing Cai ◽  
Neha Gupta

Power delivery has become more dissimilar with that of the previous era. Conventional power and energy materials, such as relic fuels, nuclear power, and renewable energy (solar power, geothermal, hydroelectric, wind power, and biomass), are already present. The energy network operation becomes complicated because the integration of power generation, energy conversion, power transportation, and power utilization should be considered. There is an intricate assignment for us to perform swift power transmission for the extremely urgent situations. These situations are the results of regional lack of energy that needs to be brought back as soon as possible. Advanced supercomputing has already been one of the powerful solutions to work out these issues. This chapter initially presents an introduction of some of the supercomputing techniques and then the potential applications and demonstration examples follow to give the readers some hint on the handling of energy network operation.

2019 ◽  
Vol 11 (4) ◽  
pp. 1035 ◽  
Author(s):  
Hyo-Jin Kim ◽  
Jeong-Joon Yu ◽  
Seung-Hoon Yoo

In an era of energy transition involving an increase in renewable energy and a reduction in coal-fired power generation and nuclear power generation, the role of combined heat and power (CHP) as a bridging energy is highly emphasized. This article attempts to look empirically into the impact of increasing the share of renewable energy in total electricity generation on CHP share in total electricity generation in a cross-country context. Data from 35 countries during the period 2009–2015 were used, and the least absolute deviations estimator was applied to obtain a more robust parameter estimate. The results showed that a 1%p increase in the share of renewable energy significantly increased the CHP share by 0.87%p. Therefore, the hypothesis that CHP serves as bridge energy in the process of energy transition was established.


2019 ◽  
Vol 31 (7) ◽  
pp. 1181-1190 ◽  
Author(s):  
Hyo-Jin Kim ◽  
Seul-Ye Lim ◽  
Seung-Hoon Yoo

The South Korean government is pursuing an energy transition, which means a reduction in nuclear power and coal-fired power generation, and an expansion into renewable energy. This study seeks to evaluate the South Korean public’s preference for a mix of power generation sources. For this purpose, 1000 households throughout the country were randomly selected and a choice experiment survey of them was undertaken in March 2018. We considered four attributes: the ratio of nuclear power, the ratio of coal-fired generation, the ratio of natural gas-fired generation, and the ratio of renewable energy. An increase in the monthly electric bill was also considered as an attribute. The results of applying the choice experiment approach show that households were willing to accept an increase in their monthly electric bill by KRW 192 (USD 0.17) and KRW 165 (USD 0.15) for reducing the proportion of nuclear power and coal, respectively, by 1%p. They were willing to pay KRW 159 (USD 0.14) and KRW 409 (USD 0.38) for raising the ratio of natural gas and renewable energy, respectively, through an increase in the monthly electricity bill. The findings reveal that the government’s energy transition has overall support from the public.


Author(s):  
Bin Li ◽  
Shenghong Ma

With the developing and increasing of the economy, China is faced with the pressure from economy increasing and shortage of energy. Chinese power and energy structure inclines to be diversified. With consideration of the environmental, economical and social benefit of renewable energy utilization, evidently, biomass will play great roles in the future alternative energies; in China, biomass power generation has developed rapidly in the past few years for its promising prospect. In this paper, the status, trend, and the potential of biomass firing power in China are discussed; the feasibility and the significance of the large-scaled biomass power generation technologies are investigated; a series of measurement to reach the goals are proposed herein.


Author(s):  
Sajjad Akbar ◽  
Shahab Khusnood

Electricity is the engine for the growth of economy of any country. Total installed electricity generation capacity of Pakistan is presently approx 20,000 MW as given in Table-1. Despite this, almost 40% of the population is without electricity. Pakistan has been blessed with tremendous resources for electrical power generation with hydel, coal, renewable energy resources and Nuclear power. Hydel, coal potential of more than 40,000 MW and 10,000 MW are available but only 15% of hydroelectric potential has been harnessed so for where as only 150 MW power plant on indigenous coal has been set up. To exploit Pakistan hydel and coal resources for power generation large investments are needed which Pakistan economy can not afford. Govt. of Pakistan has created an organization of private power and infrastructure board (PPIB) to facilitate private sector in the participation of power generator. PPIB is tapping the resources and facilitating the private sector for establishment of power projects. Pakistan is collaborating with China for establishment of Nuclear Power Plants and plan to generate up to 10,000 MW by year 2025. Renewable energy resources are also required to be tapped. This paper will focus on the Pakistan power generation potential by utilizing local resources keeping in view the next 20 year supply and demand position.


2021 ◽  
Vol 13 (16) ◽  
pp. 9117
Author(s):  
Li Ma ◽  
Die Xu

As the biggest renewable energy installation and generation country globally, it is important to deeply understand China’s wind power production determinants and draw implications for energy policy. This paper analyzes local electricity deployment, electricity consumption, investment in wind power, and price of wind power electricity on-grid apart from traditional GDP and CO2 factors in the panel data regression model, and some interesting results are found. The investment of installation and the price of wind power electricity on-grid have negative impacts on wind power generation, while local electricity consumption and inter-provincial power transmission capacity significantly impact wind power generation positively. GDP and CO2 emission per capita have negative and positive impacts on wind power production, respectively. As for different wind power zones, the most influencing factors are local electricity consumption. Hence, this paper concludes that local absorbing capacity is still an important limiting factor to Chinese renewable energy development. At last, some policies are suggested to enhance the local absorbing capacity of renewable energy.


Author(s):  
Wajiha Rehman ◽  
Muhammad Farhan ◽  
Fatima Rehman

Abstract Cryogenic technologies use cryogens such as natural gas, nitrogen, helium, hydrogen, argon, and oxygen as main working fluids. These cryogenic technologies and cryogens are emerging in the fields of energy storage, power generation, and eco-friendly fuels. Recently, researchers have proposed to integrate cryogenic systems with power generation systems including Nuclear power plants and wind turbines, to store surplus energy during the off-peak hours and use it during peak hours. The basic idea is to convert air or some other cryogen into liquid during the off-peak hours and expand it during the peak hours to run turbines. Whereas in the shipping industry; LNG is being considered as an alternative fuel to gasoline to meet the future emissions criteria of IMO. LNG not only reduces the vessel’s emissions but it is also cheaper than heavy fuel oils. As every technology has some pros and cons, the efficiency of cryogenics power generation systems is low; about 25%, but work is being done to improve its efficiency and to find alternative applications. This article discusses the applications, advantages, and drawbacks of cryogenics technologies and fuels for energy generation and storage applications. It also focuses on the challenges which are being faced by this technology and possible ways to overcome them.


Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3858
Author(s):  
Rob Hovsapian ◽  
Julian D. Osorio ◽  
Mayank Panwar ◽  
Chryssostomos Chryssostomidis ◽  
Juan C. Ordonez

In this work, the integration of a grid-scale ternary-Pumped Thermal Electricity Storage (t-PTES) with a nuclear power generation to enhance operation flexibility is assessed using physics-based models and digital real time simulation. A part of the electricity from the nuclear power generation is delivered to the grid, and the balance is used to power a heat pump that can be augmented by an auxiliary resistive load element to increase the charging rate of the thermal storage. This increases the thermal potential between hot and cold thermal stores (usually solid materials or molten salts inside large storage tanks). The thermal energy is transformed back into electricity by reversing the heat pump cycle. Different transient scenarios including startup, shutdown, and power change for grid-connected operation are simulated to determine the behavior of the hybrid nuclear-t-PTES system operating under variable loads that constitute a departure from conventional, baseload nuclear plant operation schemes. Ternary refers to the three modes operation: (i) heat pump (including heating coil), (ii) heat engine, and (iii) simultaneous operation of heat pump (including heating coil) and heat engine during changeover from pumping to generation or vice-versa. The controllability of t-PTES in the short timescales as a dynamic load is used to demonstrate operational flexibility of hybrid nuclear plants for flexible operation through advanced load management. The integration of t-PTES into nuclear power systems enhances the system flexibility and is an enabler for high penetration of renewable energy resources.


2016 ◽  
pp. 543-557 ◽  
Author(s):  
Tianxing Cai

Energy supply is characterized by its diversity, including traditional energy, such as fossil fuels, nuclear power, as well as renewable energy, such as solar, hydroelectric, geothermal, biomass, and wind energy. It involves a complex network system composed of energy generation, energy transformation, energy transportation, and energy consumption. The network does provide the great flexibility for energy transformation and transportation; meanwhile, it presents a complex task for conducting agile energy dispatching when extreme events have caused local energy shortages that need to be restored timely. One of the useful methodologies to solve such a problem is data mining and analysis. Their main objective is to take advantage of inherent tolerance of the imprecision and uncertainty to obtain tractability, robustness, and low solution-cost. The applications and developments of data mining and analysis have amazingly evolved in the last two decades. Many of these applications can be found in the field of renewable energy and energy efficiency where data mining and analysis techniques are showing a great potential to solve the problems that arise in this area. In this chapter, data mining and analysis techniques are briefly introduced. Then the implementation procedures are presented to demonstrate the application of curve fitting for renewable energy network design and optimization, which has the capability to handle the restoration during extreme and emergency situations with uncertain parameters.


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