A computational intelligence based approach for optimized operation scheduling of energy plants

2020 ◽  
Vol 68 (2) ◽  
pp. 118-129
Author(s):  
Johannes Mast ◽  
Stefan Rädle ◽  
Joachim Gerlach ◽  
Oliver Bringmann
Keyword(s):  
Simulated Annealing ◽  
Power Plant ◽  
Computational Intelligence ◽  
Electricity Market ◽  
Operating Mode ◽  
Combined Heat And Power ◽  
Operation Planning ◽  
Operation Schedule ◽  
Operation Scheduling ◽  
Energy Plants

AbstractThis paper describes a methodology for optimizing the operation schedule of energy plants, which is exemplarily applied for a combined heat and power plant and a heat pump. The methodology is based on the computational intelligence algorithms Ant Colony Optimization and Simulated Annealing and allows a customized description of the optimization objective. This is demonstrated by several optimization objectives that have been considered, such as the price on the electricity market. The methodology replaces a conventional, guided operating mode of the system with an intelligent, prognostic-based operation planning. In this way, the systems can be operated more economically and/or more sustainably.

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 Optimization of combined heat and power plant operating mode by means of underutilized equipment mothball

2019 ◽  
Vol 288 ◽  
pp. 012122 ◽  
Author(s):  
Evgeniya Sukhareva ◽  
Alexander Fedyukhin ◽  
Oleg Derevianko ◽  
Mikle Egorov ◽  
Liliya Mukhametova ◽  
...  
Keyword(s):  
Power Plant ◽  
Operating Mode ◽  
Combined Heat And Power

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

Reliability Index of Wind-Solar Hybrid Power Plants using the Expected Energy Not Supplied Method

2019 ◽  
Vol 8 (4) ◽  
pp. 9449-9456
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Electricity Market ◽  
Reliability Index ◽  
Power Plants ◽  
Initial Conditions ◽  
Hybrid Plant ◽  
Total Power ◽  
Hybrid Power ◽  
Hybrid Power Plant

This paper proposes the reliability index of wind-solar hybrid power plants using the expected energy not supplied method. The location of this research is wind-solar hybrid power plants Pantai Baru, Bantul, Special Region of Yogyakarta, Indonesia. The method to determine the reliability of the power plant is the expected energy not supplied (EENS) method. This analysis used hybrid plant operational data in 2018. The results of the analysis have been done on the Pantai Baru hybrid power plant about reliability for electric power systems with EENS. The results of this study can be concluded that based on the load duration curve, loads have a load more than the operating kW of the system that is 99 kW. In contrast, the total power contained in the Pantai Baru hybrid power plant is 90 kW. This fact makes the system forced to release the load. The reliability index of the power system in the initial conditions, it produces an EENS value in 2018, resulting in a total value of 2,512% or 449 kW. The EENS value still does not meet the standards set by the National Electricity Market (NEM), which is <0.002% per year. Based on this data, it can be said that the reliability of the New Coast hybrid power generation system in 2018 is in the unreliable category.

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 LCA and Exergo-Environmental Evaluation of a Combined Heat and Power Double-Flash Geothermal Power Plant

2021 ◽  
Vol 13 (4) ◽  
pp. 1935
Author(s):  
Vitantonio Colucci ◽  
Giampaolo Manfrida ◽  
Barbara Mendecka ◽  
Lorenzo Talluri ◽  
Claudio Zuffi
Keyword(s):  
Life Cycle ◽  
Power Plant ◽  
Environmental Analysis ◽  
Combined Heat And Power ◽  
Hot Water ◽  
Environmental Cost ◽  
Published Data ◽  
Geothermal Power Plant ◽  
Geothermal Power ◽  
Double Flash

This study deals with the life cycle assessment (LCA) and an exergo-environmental analysis (EEvA) of the geothermal Power Plant of Hellisheiði (Iceland), a combined heat and power double flash plant, with an installed power of 303.3 MW for electricity and 133 MW for hot water. LCA approach is used to evaluate and analyse the environmental performance at the power plant global level. A more in-depth study is developed, at the power plant components level, through EEvA. The analysis employs existing published data with a realignment of the inventory to the latest data resource and compares the life cycle impacts of three methods (ILCD 2011 Midpoint, ReCiPe 2016 Midpoint-Endpoint, and CML-IA Baseline) for two different scenarios. In scenario 1, any emission abatement system is considered. In scenario 2, re-injection of CO2 and H2S is accounted for. The analysis identifies some major hot spots for the environmental power plant impacts, like acidification, particulate matter formation, ecosystem, and human toxicity, mainly caused by some specific sources. Finally, an exergo-environmental analysis allows indicating the wells as significant contributors of the environmental impact rate associated with the construction, Operation & Maintenance, and end of life stages and the HP condenser as the component with the highest environmental cost rate.

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