The cost of energy analysis and energy planning for emerging, fossil fuel power plants based on the climate change scenarios

Energy ◽  
2011 ◽  
Vol 36 (5) ◽  
pp. 3606-3612 ◽  
Author(s):  
Kyungtae Park ◽  
Dongil Shin ◽  
En Sup Yoon
Author(s):  
Henry Price ◽  
David Kearney

Parabolic trough solar technology is the most proven and lowest cost large-scale solar power technology available today, primarily because of the nine large commercial-scale solar power plants that are operating in the California Mojave Desert. However, no new plants have been built during the past ten years because the cost of power from these plants is more expensive than power from conventional fossil fuel power plants. This paper reviews the current cost of energy and the potential for reducing the cost of energy from parabolic trough solar power plant technology based on the latest technological advancements and projected improvements from industry and sponsored R&D. The paper also looks at the impact of project financing and incentives on the cost of energy.


1985 ◽  
Vol 107 (4) ◽  
pp. 267-269 ◽  
Author(s):  
S. Z. Wu ◽  
D. N. Wormley ◽  
D. Rowell ◽  
P. Griffith

An evaluation of systems for control of fossil fuel power plant boiler and stack implosions has been performed using computer simulation techniques described in a companion paper. The simulations have shown that forced and induced draft fan control systems and induced draft fan bypass systems reduce the furnace pressure excursions significantly following a main fuel trip. The limitations of these systems are associated with actuator range and response time and stack pressure excursions during control actions. Preliminary study suggests that an alternative control solution may be achieved by discharging steam into the furnace after a fuel trip.


2019 ◽  
Vol 11 (9) ◽  
pp. 1117 ◽  
Author(s):  
Haopeng Zhang ◽  
Qin Deng

The frequent hazy weather with air pollution in North China has aroused wide attention in the past few years. One of the most important pollution resource is the anthropogenic emission by fossil-fuel power plants. To relieve the pollution and assist urban environment monitoring, it is necessary to continuously monitor the working status of power plants. Satellite or airborne remote sensing provides high quality data for such tasks. In this paper, we design a power plant monitoring framework based on deep learning to automatically detect the power plants and determine their working status in high resolution remote sensing images (RSIs). To this end, we collected a dataset named BUAA-FFPP60 containing RSIs of over 60 fossil-fuel power plants in the Beijing-Tianjin-Hebei region in North China, which covers about 123 km 2 of an urban area. We compared eight state-of-the-art deep learning models and comprehensively analyzed their performance on accuracy, speed, and hardware cost. Experimental results illustrate that our deep learning based framework can effectively detect the fossil-fuel power plants and determine their working status with mean average precision up to 0.8273, showing good potential for urban environment monitoring.


2021 ◽  
Vol 79 (7) ◽  
pp. 728-738
Author(s):  
Caique Lara ◽  
Julie Villamil ◽  
Anthony Abrahao ◽  
Aparna Aravelli ◽  
Guilherme Daldegan ◽  
...  

Fossil fuel power plants are complex systems containing multiple components that require periodic health monitoring. Failures in these systems can lead to increased downtime for the plant, reduction of power, and significant cost for repairs. Inspections of the plant’s superheater tubes are typically manual, laborious, and extremely time-consuming. This is due to their small diameter size (between 1.3 and 7.6 cm) and the coiled structure of the tubing. In addition, the tubes are often stacked close to each other, limiting access for external inspection. This paper presents the development and testing of an electrically powered pipe crawler that can navigate inside 5 cm diameter tubes and provide an assessment of their health. The crawler utilizes peristaltic motion within the tubes via interconnected modules for gripping and extending. The modular nature of the system allows it to traverse through straight sections and multiple 90° and 180° bends. Additional modules in the system include an ultrasonic sensor for tube thickness measurements, as well as environmental sensors, a light detecting and ranging (LiDAR) sensor, and camera. These modules utilize a gear system that allows for 360° rotation and provides a means to inspect the entire internal circumference of the tubes.


2019 ◽  
Vol 19 (2) ◽  
pp. 149-168 ◽  
Author(s):  
Benjamin Brown ◽  
Samuel J. Spiegel

In the wake of the Paris Agreement on climate change, promises to phase out coal-fired power have suggested cause for optimism around energy transition globally. However, coal remains entangled with contentious development agendas in many parts of the world, while fossil fuel industries continue to flourish. This article discusses these entanglements through a climate justice lens that engages the cultural politics surrounding coal and energy transition. We highlight how recent struggles around phasing out coal have stimulated renewed critical debates around colonialism, empire, and capitalism more broadly, recognizing climate change as an intersectional issue encompassing racial, gender, and economic justice. With social movements locked in struggles to resist the development or expansion of coal mines, power plants, and associated infrastructure, we unpack tensions that emerge as transnational alliances connect disparate communities across the world. Our conclusion signals the need for greater critical engagement with how intersecting inequalities are coded into the cultural politics of coal, and how this shapes efforts to pursue a just transition.


1971 ◽  
Vol 13 (1) ◽  
pp. 391-401 ◽  
Author(s):  
B.P. Breen ◽  
A.W. Bell ◽  
N. Bayard de Volo ◽  
F.A. Bagwell ◽  
K. Rosenthal

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