Economical Evaluation of Photovoltaic Power Plants - Case Study Slovakia

2013 ◽  
Vol 869-870 ◽  
pp. 475-478 ◽  
Author(s):  
Adriana Csikósová ◽  
Mária Antošová ◽  
Katarína Čulková
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Slovak Republic ◽  
Investment Project ◽  
Photovoltaic Power ◽  
Economical Evaluation

Contribution deals with application of method and tools that are possible for using of economical evaluation of photovoltaic power plants and profitability of their service. Result of application is decision of investors to accept, or reject investment project of photovoltaic power plant redevelopment in conditions of Slovak republic.

Automating attendance recording of contingent labours at a large construction site

2012 ◽  
Vol 2 (8) ◽  
pp. 1-9
Author(s):  
Saroj Koul
Keyword(s):  
Power Plant ◽  
Radio Frequency Identification ◽  
Power Plants ◽  
Subject Area ◽  
Management Control ◽  
Class Discussion ◽  
Construction Site ◽  
Large Power ◽  
Content Type

Subject area Operations and human resourcing. Study level/applicability This case study is intended for use in graduate, executive level management and doctoral programs. The case study illustrates a combined IT and HR driven participative management control system in a flexible organization structure. It is intended for a class discussion rather than to illustrate either effective or ineffective handling of an administrative situation. Case overview The case describes the situation of managing unskilled workforces (≥14,000 workers) during the construction phase of the 4 × 250MW power plants both for purposes of turnout as well as due compensation, in the event of an accident. The approved labour forces appointed for 45 × 8 h. Man-days after a rigorous fitness test and approvals of the safety officer are allocated housing and other necessary amenities and a commensurate compensation system. Expected learning outcomes These include: illustrating typical organizational responsibility structure at a construction site of a large power plant; illustrating the planning and administrative control mechanism in implementing strategy at a construction site of a large power plant; offering students the opportunity to understand and view a typical operational (project) structure; allowing students to speculate adaptations in the wake of an ever-changing business and company environment; and providing an opportunity to introduce a power scenario in India, Indian labour laws and radio frequency identification technology and to relate this to the case in context. Supplementary materials Teaching notes are available; please consult your librarian for access.

Evaluation of energy generation in Iraqi territory by solar photovoltaic power plants with a capacity of 20 MW

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Qusay Hassan ◽  
Saadoon Abdul Hafedh ◽  
Ali Hasan ◽  
Marek Jaszczur
Keyword(s):  
Experimental Data ◽  
Wind Speed ◽  
Power Plant ◽  
Ambient Temperature ◽  
Solar Irradiance ◽  
Electricity Generation ◽  
Power Plants ◽  
Solar Photovoltaic ◽  
Photovoltaic Power ◽  
Plant Capacity

Abstract The study evaluates the visibility of solar photovoltaic power plant construction for electricity generation based on a 20 MW capacity. The assessment was performed for four main cities in Iraq by using hourly experimental weather data (solar irradiance, wind speed, and ambient temperature). The experimental data was measured for the period from 1st January to 31st December of the year 2019, where the simulation process was performed at a 1 h time step resolution at the same resolution as the experimental data. There are two positionings considered for solar photovoltaic modules: (i) annual optimum tilt angle and (ii) two-axis tracking system. The effect of the ambient temperature and wind on the overall system energy generated was taken into consideration. The study is targeted at evaluating the potential solar energy in Iraq and the viability of electricity generation using a 20 MW solar photovoltaic power plant. The results showed that the overall performance of the suggested power plant capacity is highly dependent on the solar irradiance intensity and the ambient temperature with wind speed. The current 20 MW solar photovoltaic power plant capacity shows the highest energy that can be generated in the mid-western region and the lowest in the northeast regions. The greatest influence of the ambient temperature on the energy genrated by power plants is observed in the southern regions.

Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily

2012 ◽  
Vol 3 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Antonio Messineo ◽  
Domenico Panno ◽  
Roberto Volpe
Keyword(s):  
Power Plant ◽  
Sustainable Management ◽  
Power Plants ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Geographical Information ◽  
Critical Issues ◽  
Economical Feasibility ◽  
Choice Of Technology

Biomass can provide a reliable support for production of biofuels while contributing to sustainable management of natural resources. Many countries, including Italy, have introduced important incentive schemes to support the use of biomass for electricity, heat and transportation. This has raised considerable interest towards the use of biomass for energy generation purposes. Nonetheless, the design and installation of biomass-fuelled power plants present several critical issues, such as choice and availability of biomass, choice of technology, power plant localization and logistics. The case study tackled in this paper evaluates the economies originated by a 1MWel Organic Rankine Cycle (ORC) turbine coupled with a biomass fuelled boiler, installed in an area close to Palermo (Italy). A Geographical Information System (GIS) was used to localize the power plant and to optimize logistics. The thermodynamics of the plant as a whole were also analyzed. Finally, two different scenarios were simulated for project financial evaluation.

scholarly journals Performance and Economic Assessment of a Grid-Connected Photovoltaic Power Plant with a Storage System: A Comparison between the North and the South of Italy

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2356 ◽  
Author(s):  
Ferdinando Chiacchio ◽  
Fabio Famoso ◽  
Diego D’Urso ◽  
Luca Cedola
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Low Voltage ◽  
Storage System ◽  
Economic Feasibility ◽  
The South ◽  
Model Based ◽  
The North ◽  
Photovoltaic Power ◽  
Historical Series

Grid-connected low voltage photovoltaic power plants cover most of the power capacity installed in Italy. They offer an important contribution to the power demand of the utilities connected but, due to the nature of the solar resource, the night-time consumption can be satisfied only withdrawing the energy by the national grid, at the price of the energy distributor. Thanks to the improvement of storage technologies, the installation of a system of battery looks like a promising solution by giving the possibility to increase auto-consumption dramatically. In this paper, a model-based approach to analyze and discuss the performance and the economic feasibility of grid-connected domestic photovoltaic power plants with a storage system is presented. Using as input to the model the historical series (2008–2017) of the main ambient variables, the proposed model, based on Stochastic Hybrid Fault Tree Automaton, allowed us to simulate and compare two alternative technical solutions characterized by different environmental conditions, in the north and in the south of Italy. The performances of these systems were compared and an economic analysis, addressing the convenience of the storage systems was carried out, considering the characteristic useful-life time, 20 years, of a photovoltaic power plant. To this end the Net Present Value and the payback time were evaluated, considering the main characteristics of the Italian market scenario.

scholarly journals Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning

2020 ◽  
Vol 12 (20) ◽  
pp. 3420 ◽  
Author(s):  
Alexandra I. Khalyasmaa ◽  
Stanislav A. Eroshenko ◽  
Valeriy A. Tashchilin ◽  
Hariprakash Ramachandran ◽  
Teja Piepur Chakravarthi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Power Plant ◽  
Power Plants ◽  
Machine Learning Algorithms ◽  
Solar Irradiation ◽  
Gradient Boosting ◽  
Forecasting Accuracy ◽  
Photovoltaic Power ◽  
Forecasting System ◽  
Industry Experience

This article highlights the industry experience of the development and practical implementation of a short-term photovoltaic forecasting system based on machine learning methods for a real industry-scale photovoltaic power plant implemented in a Russian power system using remote data acquisition. One of the goals of the study is to improve photovoltaic power plants generation forecasting accuracy based on open-source meteorological data, which is provided in regular weather forecasts. In order to improve the robustness of the system in terms of the forecasting accuracy, we apply newly derived feature introduction, a factor obtained as a result of feature engineering procedure, characterizing the relationship between photovoltaic power plant energy production and solar irradiation on a horizontal surface, thus taking into account the impacts of atmospheric and electrical nature. The article scrutinizes the application of different machine learning algorithms, including Random Forest regressor, Gradient Boosting Regressor, Linear Regression and Decision Trees regression, to the remotely obtained data. As a result of the application of the aforementioned approaches together with hyperparameters, tuning and pipelining of the algorithms, the optimal structure, parameters and the application sphere of different regressors were identified for various testing samples. The mathematical model developed within the framework of the study gave us the opportunity to provide robust photovoltaic energy forecasting results with mean accuracy over 92% for mostly-sunny sample days and over 83% for mostly cloudy days with different types of precipitation.

Diagnostic Techniques for Improving Power Plant Performance, Reliability and Availability: A Case Study

2006 ◽  
Author(s):  
Komandur S. Sunder Raj
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Performance Monitoring ◽  
Monitoring Program ◽  
Heat Rate ◽  
Diagnostic Techniques ◽  
Lessons Learned ◽  
Plant Performance ◽  
Reliability And Availability

The objectives of an effective power plant performance monitoring program are several-fold. They include: (a) assessing the overall condition of the plant through use of parameters such as output and heat rate (b) monitoring the health of individual components such as the steam generator, turbine-generator, feedwater heaters, moisture separators/reheaters (nuclear), condenser, cooling towers, pumps, etc. (c) using the results of the program to diagnose the causes for deviations in performance (d) quantifying the performance losses (e) taking timely and cost-effective corrective actions (f) using feedback techniques and incorporating lessons learned to institute preventive actions and, (g) optimizing performance. For the plant owner, the ultimate goals are improved plant availability and reliability and reduced cost of generation. The ability to succeed depends upon a number of factors such as cost, commitment, resources, performance monitoring tools, instrumentation, training, etc. Using a case study, this paper discusses diagnostic techniques that might aid power plants in improving their performance, reliability and availability. These techniques include performance parameters, supporting/refuting matrices, logic trees and decision trees for the overall plant as well as for individual components.

Common Electronic Platform for the Steam Turbine and Generator Controls: Upgrade Installed at the Mt. Poso Cogeneration Power Station — A Case Study

2004 ◽  
Author(s):  
Jerry A. Kopczynski ◽  
Bill Dickson ◽  
Gerhard J. Weiss
Keyword(s):  
Power Plant ◽  
System Integration ◽  
Power Plants ◽  
Open Architecture ◽  
Maintenance Cost ◽  
Software Platform ◽  
Voltage Controller ◽  
Software Platforms ◽  
Electronic Hardware

The scope of modern power plant controls usually includes plant DCS, boiler control and protection, steam/gas turbine governor and protection, auxiliaries control, automatic voltage controller, automatic synchronizer and operator/engineering stations. Usually these control packages come from different manufacturers (OEM). They are typically based on various electronic hardware and software platforms. Different communication protocols often present problems during system integration; and maintenance costs of these various electronic hardware and software platforms are normally greater than that of a stand alone system. Advantages of an integrated, distributed, open architecture, digital system, (Fig. 1) which covers all the power plant needs are discussed in this paper. A common electronic hardware/ software platform allows optimization of the new constructions and upgrades, shorten delivery and commissioning time, and improve availability and safety of the new and upgraded power plants. Specific benefits of this concept are presented in the Mt. Poso controls upgrade Case Study. The common electronic hardware/ software platform installed at Mt. Poso allowed optimization of the upgrade, shortened commissioning time, improved availability, reliability and safety and reduced maintenance cost of the control systems.

Application of GE Low Load Package on an Existing District Heating Power Plant: A Case Study

2020 ◽  
Author(s):  
Antonio Mambro ◽  
Francesco Congiu ◽  
Francesco Piraccini
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
District Heating ◽  
Low Pressure ◽  
Heating Power ◽  
Low Pressure Turbine ◽  
Low Load ◽  
Flow Through ◽  
Last Stage

Abstract The continuous increase of variable renewable energy and fuel cost requires steam turbine power plants to operate with high flexibility. Furthermore, the reduction in electricity price is forcing many existing and new district heating power plants to further optimize the heat production to maintain a sustainable business. This situation leads to low pressure steam turbines running at very low volume flow for an extended time. In this work, a case study of an existing 30 MWel district heating power plant located in Europe is presented. The customer request was the removal of the steam turbine last two stages along with the condenser to maximize steam delivery for district heating operations. However, based on the experience gained by GE on low load during the last years, the same heat production has been guaranteed without any significant impact on the existing unit, excluding any major modification of the plant layout such as last stage blading and condenser removal. Making use of the latest low flow modeling, the minimum cooling flow through the low-pressure turbine has been reduced by more than 90% compared to the existing unit. Optimization of the hood spray system and logic will reduce trailing edge erosion during low load operation leading to a significant extension in the last stage blade lifetime. These modifications, commercialized by GE as the Advanced Low Load Package (ALLP), provide a cheap, flexible and effective solution for the customer. With today’s knowledge, GE has the capability to guarantee low load operation minimizing the mass flow through the low-pressure turbine to the minimum required for safe operation. As a benefit to the customer, this option allows a gain in operational income of about 1.5 M€ per year.

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