scholarly journals A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network

Forecasting ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 410-428
Author(s):  
Emanuele Ogliari ◽  
Alfredo Nespoli ◽  
Marco Mussetta ◽  
Silvia Pretto ◽  
Andrea Zimbardo ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Plant ◽  
Hybrid Method ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
Production Forecast ◽  
Decomposition Approach ◽  
Artificial Neural Network Ann

The increasing penetration of non-programmable renewable energy sources (RES) is enforcing the need for accurate power production forecasts. In the category of hydroelectric plants, Run of the River (RoR) plants belong to the class of non-programmable RES. Data-driven models are nowadays the most widely adopted methodologies in hydropower forecast. Among all, the Artificial Neural Network (ANN) proved to be highly successful in production forecast. Widely adopted and equally important for hydropower generation forecast is the HYdrological Predictions for the Environment (HYPE), a semi-distributed hydrological Rainfall–Runoff model. A novel hybrid method, providing HYPE sub-basins flow computation as input to an ANN, is here introduced and tested both with and without the adoption of a decomposition approach. In the former case, two ANNs are trained to forecast the trend and the residual of the production, respectively, to be then summed up to the previously extracted seasonality component and get the power forecast. These results have been compared to those obtained from the adoption of a ANN with rainfalls in input, again with and without decomposition approach. The methods have been assessed by forecasting the Run-of-the-River hydroelectric power plant energy for the year 2017. Besides, the forecasts of 15 power plants output have been fairly compared in order to identify the most accurate forecasting technique. The here proposed hybrid method (HYPE and ANN) has shown to be the most accurate in all the considered study cases.

scholarly journals Hydroelectric Power Plants ’ Re Servoirs And Their Impact On The Environment

2015 ◽  
Vol 1 ◽  
pp. 171 ◽  
Author(s):  
M. I. Balzannikov ◽  
E. G. Vyshkin
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Hydroelectric Power Plant ◽  
Energy Sources ◽  
Hydroelectric Power ◽  
Hydroelectric Power Plants ◽  
Different Types ◽  
The Way

The paper presents the analysis of different types of impact the hydroelectric power plants’ reservoirs could make on the environment. Hydroelectric power plants (HPP) produce ecologically safe energy and correspond to the modern striving for sustainability because they are operated on renewable energy sources. At the same time they can provoke various potential dangers for the environment. The objective of the investigation is to demonstrate the interrelation between the type and structure of a hydroelectric power plant and the way its reservoir may impact on the nature surrounding the plant. These effects may be direct and indirect, positive and negative and vary from insignificant that can be easily fixed to those that are irreversible and catastrophic. The latter should be taken into account during the design of HPP.

AN EARLY COST ESTIMATION MODEL FOR HYDROELECTRIC POWER PLANT PROJECTS USING NEURAL NETWORKS AND MULTIPLE REGRESSION ANALYSIS

2015 ◽  
Vol 21 (4) ◽  
pp. 470-477 ◽  
Author(s):  
Murat Gunduz ◽  
Haci Bayram Sahin
Keyword(s):  
Power Plant ◽  
Multiple Regression ◽  
Cost Estimation ◽  
Electricity Generation ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Hydroelectric Power Plant ◽  
Energy Sources ◽  
Hydroelectric Power ◽  
Project Cost

Energy is increasingly becoming more important in today’s world, whereas energy sources are drastically decreasing. One of the most valuable energy sources is hydro energy. Because of limited energy sources and excessive energy usage, cost of energy is rising. Among the electricity generation units, hydroelectric power plants are very important, since they are renewable energy sources and they have no fuel cost. To decide whether a hydroelectric power plant investment is feasible or not, project cost and amount of electricity generation of the investment should be precisely estimated. In this paper, fifty four hydroelectric power plant projects are analysed by using multiple regression and artificial neural network tools. As a result, two cost estimation models have been developed to estimate the hydroelectric power plant project cost in early stages of the project.

Functional Analysis and Exergoeconomic Evaluation for the Combined Production of Electromechanical Power and Useful Heat of a Cogeneration Power Plant

2011 ◽  
Author(s):  
Washington Orlando Irrazabal Bohorquez ◽  
Joa˜o Roberto Barbosa
Keyword(s):  
Power Plant ◽  
Electricity Market ◽  
Sugar Cane ◽  
Power Plants ◽  
Hydroelectric Power Plant ◽  
Sugar Cane Bagasse ◽  
Fuel Oil ◽  
Hydroelectric Power ◽  
The Us ◽  
Electrical Generation

In the Ecuadorian electrical market, several sugar plants, which significantly participate in the local electricity market, are producing their own energy and commercializing the surplus to the electrical market. This study evaluates the integral use of the sugar cane bagasse for productive process on a Cogeneration Power Plant in an Ecuadorian Sugar Company [8]. The electrical generation based on biomass requires a great initial investment. The cost is around US$ 800/kW installed, twice the US$ 400/kW initial investment of conventional thermoelectric power plant and almost equal to the US$ 1,000/kW initial cost of hydroelectric power plant [5]. A thermoeconomic study was carried out on the production of electricity and the sales of the surplus of 27 MWe average produced by the power plant. An operational analysis was made using instantaneous values from the estimated curves of demand and generation of electricity. From the results, it was concluded that the generated electricity costs are 0.0443 US$/kWh, while the costs of the electricity from Fossil Power Plants (burning fuel oil, diesel fuel and natural gas) are in the range 0.03–0.15 US$/kWh and from Hydroelectric Plants are about 0.02 US$/kWh. Cogeneration power plants burning sugar cane bagasse could contribute to the mitigation of climatic change. This specific case study shows the reduction of the prospective emissions of greenhouse gases, around 55,188 ton of CO2 equivalent yearly for this cogeneration power plant.

scholarly journals Rancang Bangun Miniatur Pembangkit Listrik Tenaga Mikrohidro Dibengkel Teknik Listrik Universitas Batanghari Jambi

2020 ◽  
Vol 2 (2) ◽  
pp. 41
Author(s):  
Ottentri Ottentri ◽  
Hendi Matalata
Keyword(s):  
Power Plant ◽  
Rural Areas ◽  
Power Plants ◽  
Water Discharge ◽  
Hydroelectric Power Plant ◽  
Electrical Energy ◽  
Hydroelectric Power ◽  
Mountainous Areas ◽  
Know How ◽  
Essential Components

The need for electrical energy is a necessity that can not be ditawar–tawar anymore for a life worthy of every person in this day. Generally, remote rural areas located in mountainous areas have a large potential of water energy, so that the hydroelectric power plant is one of the energy sources that can be developed. Jambi is an area covered with Batanghari River flows. This research aims to know how the work process of Microhydro power plant.  Components of the essential components of miniature microhydro power plants are reservoirs, rapid pipes, turbines, generators where these components are not loose bias, interrelated to one another. Round of Tubin obtained from the experiment is 400 rpm with water discharge 0.0016 m3/s. The maximum voltage generated by the generator is 18 volts. Voltage generated from the generator to charging the Batrai used inverter of 13.1 volts. The load will remain on even though the main energy source is the generator stop in the same, because the energy of the second is Batrai.

scholarly journals SAVING RESOURCES IN THE CONSTRUCTION OF HYDROELECTRIC POWER PLANTS

2019 ◽  
Vol 1 ◽  
pp. 20
Author(s):  
Mikhail Balzannikov
Keyword(s):  
Power Plant ◽  
Peak Power ◽  
Power Plants ◽  
Hydroelectric Power Plant ◽  
Operating Conditions ◽  
Hydroelectric Power ◽  
Construction Work ◽  
Construction Costs ◽  
Suction Pipe ◽  
Hydroelectric Power Plants

The article describes run-of-the-river hydroelectric power plants. The authors specify the importance of performing technical and economic calculations in justifying the large-sized units of the water-supplying channel of a run-of-the-river hydroelectric power plant: turbine pits and suction (discharge) pipes. The study shows that the amount of construction work and the total cost of building a hydroelectric power plant depend on the size of these water supply units. The research objective is to analyze the validity of establishing the main dimensions of the suction pipes for modern technical and economic conditions. The researchers use the discounted income method. The calculations are performed for a hydroelectric power plant with an elbow suction pipe. The analysis of how the operating conditions of a hydroelectric power plant influence the savings of construction resources is carried out. The analysis shows that saving construction resources by reducing the length of the suction pipe is justified if the hydroelectric power plamt is designed to work only at peak power loads. For hydroelectric power plants operating at semi-peak or base power loads, the additional construction costs would be appropriate if leading to the decrease in pressure loss and to the increase in electricity generation.

scholarly journals Risk Based Maintenance in the Hydroelectric Power Plants

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1502 ◽  
Author(s):  
Evrencan Özcan ◽  
Rabia Yumuşak ◽  
Tamer Eren
Keyword(s):  
Power Plant ◽  
Energy Supply ◽  
Power Plants ◽  
Low Cost ◽  
Hydroelectric Power Plant ◽  
Planning Problem ◽  
Maintenance Planning ◽  
Hydroelectric Power ◽  
Risk Levels ◽  
Hydroelectric Power Plants

In this study, maintenance planning problem is handled in one of the hydroelectric power plants which directly affect Turkey’s energy supply security with a fifth share in the total generation. In this study, a result is obtained by taking into consideration the multi-objective and multi-criteria structure of the maintenance planning in the hydroelectric power plants with thousands of complex equipment and the direct effect of this equipment on uninterrupted and low-cost electricity generation. In the first stage, the risk levels of the equipment in terms of the power plant are obtained with the combination of AHP (Analytical Hierarchy Process) and TOPSIS (technique for order preference by similarity to ideal solution) which are frequently used in the literature due to their advantages. Department-based maintenance plans of all equipment for periodic and revision maintenance strategies are formed by integrating these values into the time allocated for maintenance and the number of employees constraints. As a result of the application of this methodology which is designed for the first time in the literature with the integration of multi-criteria decision-making methods for the maintenance planning problem in a hydroelectric power plant, all elements that prevent the sustainable energy supply in the power plant are eliminated.

scholarly journals A Data-Driven Approach to Extend Failure Analysis: A Framework Development and a Case Study on a Hydroelectric Power Plant

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6400
Author(s):  
Sara Antomarioni ◽  
Marjorie Maria Bellinello ◽  
Maurizio Bevilacqua ◽  
Filippo Emanuele Ciarapica ◽  
Renan Favarão da Silva ◽  
...  
Keyword(s):  
Power Plant ◽  
Failure Analysis ◽  
Power Plants ◽  
Failure Modes ◽  
Real Life ◽  
Hydroelectric Power Plant ◽  
Data Driven ◽  
Hydroelectric Power ◽  
Data Driven Approach

Power plants are required to supply the electric demand efficiently, and appropriate failure analysis is necessary for ensuring their reliability. This paper proposes a framework to extend the failure analysis: indeed, the outcomes traditionally carried out through techniques such as the Failure Mode and Effects Analysis (FMEA) are elaborated through data-driven methods. In detail, the Association Rule Mining (ARM) is applied in order to define the relationships among failure modes and related characteristics that are likely to occur concurrently. The Social Network Analysis (SNA) is then used to represent and analyze these relationships. The main novelty of this work is represented by support in the maintenance management process based not only on the traditional failure analysis but also on a data-driven approach. Moreover, the visual representation of the results provides valuable support in terms of comprehension of the context to implement appropriate actions. The proposed approach is applied to the case study of a hydroelectric power plant, using real-life data.

Operation Analysis and Thermoeconomic Evaluation of a Cogeneration Power Plant Operating as a Self-Generator in the Ecuadorian Electrical Market and Sugar Industry

2012 ◽  
Vol 134 (4) ◽  
Author(s):  
Washington Orlando Irrazabal Bohorquez ◽  
João Roberto Barbosa ◽  
Luiz Augusto Horta Nogueira
Keyword(s):  
Power Plant ◽  
Thermoelectric Power ◽  
Sugarcane Bagasse ◽  
Power Plants ◽  
Sugar Industry ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
Operation Analysis ◽  
Productive Process ◽  
Thermoelectric Power Plants

This study evaluates the integral use of the sugarcane bagasse on the productive process of a cogeneration power plant in an Ecuadorian Sugar Company. Thermoelectric power plants burning biomass require a large initial investment and, for example, this initial investment requires $800/kW, which is double the initial investment of a conventional thermoelectric power plant that is $400/kW, and almost similar to the initial cost of a hydroelectric power plant that is $1000/kW. A thermoeconomic study was made on the production of electricity and the sales of the exceeding 27 MW average. From the results, it was concluded that generated electricity costs are $0.0443/kW h, in comparison with the costs of the supplied electricity through fossil power plants with values in the range $0.03–$0.15/kW h and hydroelectric power plants with a value of about $0.02/kW h. Cogeneration power plants burning sugarcane bagasse could contribute to the mitigation of climatic change. This specific case study shows the reduction of the prospective emissions of greenhouse effect gases in the amount of 55,188 ton of CO2 equivalent per year.

AC/DC/AC converter in a small hydroelectric power plant

2011 ◽  
Vol 59 (4) ◽  
pp. 507-511 ◽  
Author(s):  
A. Sikorski ◽  
M. Korzeniewski
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Power Grid ◽  
Hydroelectric Power Plant ◽  
Induction Generator ◽  
Hydroelectric Power ◽  
Transient States ◽  
Voltage Decay ◽  
Start Up ◽  
Hydroelectric Power Plants

AC/DC/AC converter in a small hydroelectric power plant The article discusses application of AC/DC/AC converter cooperating with an induction generator in small hydroelectric power plants. The induction generator works with power grid or a separated group of receivers, enabling to generate power even at low speeds of the turbine. The article provides also results of the investigation concerning the functioning of the generator coupled with AC/DC/AC converter in steady and transient states during start-up and voltage decay.

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