Testing activity-based costing to large-scale combined heat and power plant using bioenergy

2013 ◽  
Vol 38 (3) ◽  
pp. 339-349
Author(s):  
Heikki Korpunen ◽  
Risto Raiko
Keyword(s):  
Power Plant ◽  
Large Scale ◽  
Combined Heat And Power ◽  
Activity Based Costing

scholarly journals Decision-Making Support Methods, Algorithms and Tools for Electricity Market Participants

2020 ◽  
Author(s):  
◽  
Kārlis Baltputnis
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Electricity Market ◽  
Large Scale ◽  
Demand Forecasting ◽  
Combined Heat And Power ◽  
Market Participants ◽  
Hydropower Plants ◽  
Storage Technologies ◽  
Support Methods

Electricity market participants need to optimize their processes to avoid being outcompeted by other traders. Consequently, decision-making methods, algorithms and tools related to large-scale energy storage technologies (scheduling, sizing) and cascaded hydropower plants (scheduling, hydroelectric set selection), as well as heating demand forecasting, which is a prerequisite for efficient combined heat and power plant participation in an electricity market.

scholarly journals MOTOR BIOFUEL-POWERED CHP PLANTS—A STEP TOWARDS SUSTAINABLE DEVELOPMENT OF RURAL LITHUANIA

2011 ◽  
Vol 17 (1) ◽  
pp. 189-205 ◽  
Author(s):  
Laurencas Raslavičius ◽  
Anicetas Strakšas
Keyword(s):  
Sustainable Development ◽  
Power Plant ◽  
European Commission ◽  
Rapeseed Oil ◽  
Large Scale ◽  
Power Production ◽  
Combined Heat And Power ◽  
Liquid Fuels ◽  
Small Scale ◽  
Economic Aspects

This paper focuses on the benefits that can be attained from the correct option of small-scale combined heat and power plant (CHP) relative to fuel availability and sphere of application. The analysis serves as a means of highlighting some of the owners of large-scale farms as well as holders of industrial greenhouses that influence the penetration of small-scale cogeneration plants running on bio-based liquid fuels. The identification of the main influencing factors and their weight is the first step towards the implementation of a more coherent strategy, if the EC (European Commission) and national energy authorities wish for new small-scale cogeneration technologies to have a future in the context of sustainable development of rural Lithuania. Against this background, this paper aims at presenting the technical, environmental and economic aspects of the possibilities of utilizing biodiesel, biodiesel-conventional diesel blends and rapeseed oil in combined heat and power production as an issue for further discussions regarding the formative breakthrough attitude towards a possible path of country's sustainable development.

Virtual Synchronous Generator Control of Power System including Large-scale Wind Farm by Cooperative Operation between Battery and LFC Hydro Power Plant

2020 ◽  
Vol 140 (6) ◽  
pp. 531-538
Author(s):  
Kotaro Nagaushi ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
Junji Tamura ◽  
Atsushi Sakahara ◽  
...  
Keyword(s):  
Power Plant ◽  
Power System ◽  
Large Scale ◽  
Wind Farm ◽  
Synchronous Generator ◽  
Hydro Power ◽  
Virtual Synchronous Generator

Improving the Energy Efficiency and Environmental Friendliness of a Combined Heat and Power Plant through the Use of Heat Absorption Transformers

Vestnik MEI ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 89-97
Author(s):  
Yuriy V. Yavorovsky ◽  
◽  
I′ldar A. Sultanguzin ◽  
Aleksey I. Bartenev ◽  
Stanislava A. Prishchepova ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Combined Heat And Power ◽  
Heat Absorption ◽  
Environmental Friendliness

Research and Develop on Static Frequency Converter of Pumped Storage Power Plant

2012 ◽  
Vol 608-609 ◽  
pp. 1120-1126 ◽  
Author(s):  
De Shun Wang ◽  
Bo Yang ◽  
Lian Tao Ji
Keyword(s):  
Power Plant ◽  
Control Strategy ◽  
Large Scale ◽  
Frequency Converter ◽  
Position Estimation ◽  
Position Sensor ◽  
Storage Unit ◽  
Rotor Position ◽  
Start Up ◽  
Pumped Storage

A static frequency converter start-up control strategy for pumped-storage power unit is presented. And rotor position detecting without position sensor is realized according to voltage and magnetism equations of ideal synchronous motor mathematics model. The mechanism and implementation method of initial rotor position determination and rotor position estimation under low frequency without position sensor are expounded and validated by simulations. Based on the mentioned control strategy, first set of a static frequency converter start-up device in China for large-scale pumped-storage unit is developed, which is applied to start-up control test in the 90 MW generator/motor of Panjiakou Pumped-storage Power Plant. Test results show that rotor position detecting, pulse commutation, natural commutation, and unit synchronous procedure control of static start-up are all proved. The outcomes have been applied in running equipment, which proves the feasibility of mentioned method.

Analysis of gas turbine combined heat and power system for carbon capture installation of coal-fired power plant

Energy ◽  
2012 ◽  
Vol 45 (1) ◽  
pp. 125-133 ◽  
Author(s):  
Tadeusz Chmielniak ◽  
Sebastian Lepszy ◽  
Katarzyna Wójcik
Keyword(s):  
Power Plant ◽  
Power System ◽  
Gas Turbine ◽  
Carbon Capture ◽  
Combined Heat And Power

scholarly journals Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 811
Author(s):  
Yaqin Hu ◽  
Yusheng Shi
Keyword(s):  
Power Plant ◽  
Co2 Emissions ◽  
Atmospheric Carbon Dioxide ◽  
Power Plants ◽  
Large Scale ◽  
Global Climate ◽  
Gaussian Model ◽  
Point Sources ◽  
Emission Inventories ◽  
Bottom Up

The concentration of atmospheric carbon dioxide (CO2) has increased rapidly worldwide, aggravating the global greenhouse effect, and coal-fired power plants are one of the biggest contributors of greenhouse gas emissions in China. However, efficient methods that can quantify CO2 emissions from individual coal-fired power plants with high accuracy are needed. In this study, we estimated the CO2 emissions of large-scale coal-fired power plants using Orbiting Carbon Observatory-2 (OCO-2) satellite data based on remote sensing inversions and bottom-up methods. First, we mapped the distribution of coal-fired power plants, displaying the total installed capacity, and identified two appropriate targets, the Waigaoqiao and Qinbei power plants in Shanghai and Henan, respectively. Then, an improved Gaussian plume model method was applied for CO2 emission estimations, with input parameters including the geographic coordinates of point sources, wind vectors from the atmospheric reanalysis of the global climate, and OCO-2 observations. The application of the Gaussian model was improved by using wind data with higher temporal and spatial resolutions, employing the physically based unit conversion method, and interpolating OCO-2 observations into different resolutions. Consequently, CO2 emissions were estimated to be 23.06 ± 2.82 (95% CI) Mt/yr using the Gaussian model and 16.28 Mt/yr using the bottom-up method for the Waigaoqiao Power Plant, and 14.58 ± 3.37 (95% CI) and 14.08 Mt/yr for the Qinbei Power Plant, respectively. These estimates were compared with three standard databases for validation: the Carbon Monitoring for Action database, the China coal-fired Power Plant Emissions Database, and the Carbon Brief database. The comparison found that previous emission inventories spanning different time frames might have overestimated the CO2 emissions of one of two Chinese power plants on the two days that the measurements were made. Our study contributes to quantifying CO2 emissions from point sources and helps in advancing satellite-based monitoring techniques of emission sources in the future; this helps in reducing errors due to human intervention in bottom-up statistical methods.

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