988 resultados para Condensing power capacity
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The economical competitiveness of various power plant alternatives is compared. The comparison comprises merely electricity producing power plants. Combined heat and power (CHP) producing power will cover part of the future power deficit in Finland, but also condensing power plants for base load production will be needed. The following types of power plants are studied: nuclear power plant, combined cycle gas turbine plant, coal-fired condensing power plant, peat-fired condensing power plant, wood-fired condensing power plant and wind power plant. The calculations are carried out by using the annuity method with a real interest rate of 5 % per annum and with a fixed price level as of January 2008. With the annual peak load utilization time of 8000 hours (corresponding to a load factor of 91,3 %) the production costs would be for nuclear electricity 35,0 €/MWh, for gas based electricity 59,2 €/MWh and for coal based electricity 64,4 €/MWh, when using a price of 23 €/tonCO2 for the carbon dioxide emission trading. Without emission trading the production cost of gas electricity is 51,2 €/MWh and that of coal electricity 45,7 €/MWh and nuclear remains the same (35,0 €/MWh) In order to study the impact of changes in the input data, a sensitivity analysis has been carried out. It reveals that the advantage of the nuclear power is quite clear. E.g. the nuclear electricity is rather insensitive to the changes of nuclear fuel price, whereas for natural gas alternative the rising trend of gas price causes the greatest risk. Furthermore, increase of emission trading price improves the competitiveness of the nuclear alternative. The competitiveness and payback of the nuclear power investment is studied also as such by using various electricity market prices for determining the revenues generated by the investment. The profitability of the investment is excellent, if the market price of electricity is 50 €/MWh or more.
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The aim of this master’s thesis is to develop an algorithm to calculate the cable network for heat and power station CHGRES. This algorithm includes important aspect which has an influence on the cable network reliability. Moreover, according to developed algorithm, the optimal solution for modernization cable system from economical and technical point of view was obtained. The conditions of existing cable lines show that replacement is necessary. Otherwise, the fault situation would happen. In this case company would loss not only money but also its prestige. As a solution, XLPE single core cables are more profitable than other types of cable considered in this work. Moreover, it is presented the dependence of value of short circuit current on number of 10/110 kV transformers connected in parallel between main grid and considered 10 kV busbar and how it affects on final decision. Furthermore, the losses of company in power (capacity) market due to fault situation are presented. These losses are commensurable with investment to replace existing cable system.
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Tuulivoimatekniikan nopea kehitys on lisännyt tuulivoimakapasiteetin määrää sähköverkoissa. Eri maiden siirtoverkko-operaattorit ovatkin julkaisseet tuulivoimaloille omat verkkomääräyksensä. Työssä tutkitaan tuulivoimaloiden tekniikkaa, eri maiden verkko-operaattoreiden asettamia verkkomääräyksiä tuulivoimalle sekä arvioidaan näiden kehitystä tulevaisuudessa. Tutkittaviksi alueiksi on valittu maita, joiden siirtoverkot ovat rakenteeltaan erilaisia ja joissa tuulivoimaloille asetetut vaatimukset sekä asennetun tuulivoimakapasiteetin määrät vaihtelevat. Verkkomääräyksiä käsitellessä on keskitytty vain tärkeimpiin teknisiin vaatimuksiin. Eri verkkomääräykset eroavat toisistaan rakenteeltaan sekä vaatimuksiltaan ja ne ovat tiukentuneet tuulivoiman osuuden kasvaessa kokonaisenergiantuotannosta. Tämä on vaikeuttanut sähköverkoissa toimivien osapuolien operointia. Verkkomääräyksien harmonisoinnille ja kehittämiselle onkin tarvetta verkon kaikkien osapuolien toimintaedellytyksien parantamiseksi. Tuulivoimaloiden sisältämän tehoelektroniikan ja älykkäiden sähköverkkojen kehityksen myötä voidaan tuulivoimalla saavuttaa myös monia etuja esimerkiksi muihin tuotantotapoihin verrattuna.
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Työssä vertaillaan eri sähköntuotantovaihtoehtojen taloudellista kannattavuutta. Kannattavuusvertailu suoritetaan pelkkää sähköä tuottaville voimalaitoksille. Raportti on jatkoa aikaisemmille tutkimuksille, joista viimeisin julkaistiin 2008. Tutkittavat voimalaitostyypit ovat: ydinvoimalaitos, maakaasukombilauhdevoimalaitos, kivihiililauhdevoimalaitos, turvelauhdevoimalaitos, puulauhdevoimalaitos, tuulivoimala ja uutena aurinkovoimala. Kannattavuustarkastelu suoritetaan annuiteettimenetelmällä käyttäen 5 % reaalikorkoa ja maaliskuun 2012 hintatasoa. Laskelmien perusteella 8000 tunnin huipunkäyttöajalla ydinsähkön tuotantokustannus, kun laitos rakennetaan olemassaolevalle tontille olisi 43,7 €/MWh, täysin uuden ydinvoimalaitoksen 57,9 €/MWh, kaasusähkön 75,4 €/MWh, turvelauhteen 75,4 €/MWh ja hiilisähkön hiilidioksidin talteenotolla 64,4 €/MWh, kun hiilidioksidipäästöoikeuden hintana käytetään 23 €/t. Vastaavasti uusiutuvista puupolttoainelauhdesähkön tuotantokustannus olisi 70,2 €/MWh kun taas 2200 tunnin huipunkäyttöajalla maalla sijaitsevan tuulivoimalaitoksen sähkön tuotantokustannus 52,7 €/MWh ja merellä sijaitsevan tuulivoimalaitoksen 76,8 €/MWh. Erillistarkastelussa arvioitiin suurien keskittävää teknologiaa käyttävän aurinko-voimalaitoksen tuotantokustannuksen ylittävän 100 €/MWh ollen todennäköisesti lähempänä 150 €/MWh. Arvio piensähkön tuotantokustannuksista aurinkosähköisillä paneeleilla vaihtelee 90 – 130 €/MWh. Merkittävin kustannussäästö syntyy, jos aurinkosähköpaketteja voidaan tarjota kuluttajalle kokonaistoimituksena avaimet käteen. Aurinkosähkön tuottaminen kotikeräimillä näyttääkin olevan vaiheessa, jossa se on selkeästi pienkäyttäjälle edullista mikäli sijoitettava pääoma 6000 – 18000 € ei vaadi ulkopuolista rahoitusta.
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Tässä työssä esitellään tuulivoimaa yleisesti, sekä tarkemmin tuulivoiman tilannetta Kaakkois-Suomessa. Työn alussa kerrotaan, mitä tuulivoima on ja käydään läpi tuulivoimaprojektin toteutusvaiheita. Kaakkois-Suomessa on paljon tuulivoimatoimijoita, sijoituspaikkoja voimaloille sekä jo useita olemassa olevia voimaloita. Tuulivoimatavoite pohjautuu ilmasto – ja energiastrategiaan, jonka valtioneuvosto hyväksyi vuonna 2008. Parannukset tuulivoimarakentamiseen, syöttötariffijärjestelmän käyttöönotto sekä tuulivoimatoimijoiden aktiivisuus ovat edellytyksiä Suomen tuulivoimatavoitteelle vuoteen 2020 mennessä. Suomen tavoite on tuottaa sähköä tuulivoimalla 6 TWh vuonna 2020 ja tähän tarvittava kapasiteetti on 2500 MW, joka tarkoittaa esimerkiksi noin 833 kappaletta 3 MW:n tuulivoimaloita.
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Rough turning is an important form of manufacturing cylinder-symmetric parts. Thus far, increasing the level of automation in rough turning has included process monitoring methods or adaptive turning control methods that aim to keep the process conditions constant. However, in order to improve process safety, quality and efficiency, an adaptive turning control should be transformed into an intelligent machining system optimizing cutting values to match process conditions or to actively seek to improve process conditions. In this study, primary and secondary chatter and chip formation are studied to understand how to measure the effect of these phenomena to the process conditions and how to avoid undesired cutting conditions. The concept of cutting state is used to address the combination of these phenomena and the current use of the power capacity of the lathe. The measures to the phenomena are not developed based on physical measures, but instead, the severity of the measures is modelled against expert opinion. Based on the concept of cutting state, an expert system style fuzzy control system capable of optimizing the cutting process was created. Important aspects of the system include the capability to adapt to several cutting phenomena appearing at once, even if the said phenomena would potentially require conflicting control action.
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Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.
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This paper investigates the value of a generic storage system within two GB market mechanisms and one ancillary service provision: the wholesale power market, the Balancing Mechanism and Firm Frequency Response (FFR). Three models are evaluated under perfect foresight and fixed horizon which is subsequently extended to explore the impact of a longer foresight on market revenues. The results show that comparatively, the balancing mechanism represents the highest source of potential revenues followed by the wholesale power market and Firm Frequency Response respectively. Longer horizons show diminishing returns, with the 1 day horizon providing the vast majority of total revenues. However storage power capacity utilization benefits from such long horizons. These results could imply that short horizons are very effective in capturing revenues in both the wholesale market and balancing mechanism whereas sizing of a storage system should take into consideration horizon foresight and accuracy for greater benefit.
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Solar-powered vehicle activated signs (VAS) are speed warning signs powered by batteries that are recharged by solar panels. These signs are more desirable than other active warning signs due to the low cost of installation and the minimal maintenance requirements. However, one problem that can affect a solar-powered VAS is the limited power capacity available to keep the sign operational. In order to be able to operate the sign more efficiently, it is proposed that the sign be appropriately triggered by taking into account the prevalent conditions. Triggering the sign depends on many factors such as the prevailing speed limit, road geometry, traffic behaviour, the weather and the number of hours of daylight. The main goal of this paper is therefore to develop an intelligent algorithm that would help optimize the trigger point to achieve the best compromise between speed reduction and power consumption. Data have been systematically collected whereby vehicle speed data were gathered whilst varying the value of the trigger speed threshold. A two stage algorithm is then utilized to extract the trigger speed value. Initially the algorithm employs a Self-Organising Map (SOM), to effectively visualize and explore the properties of the data that is then clustered in the second stage using K-means clustering method. Preliminary results achieved in the study indicate that using a SOM in conjunction with K-means method is found to perform well as opposed to direct clustering of the data by K-means alone. Using a SOM in the current case helped the algorithm determine the number of clusters in the data set, which is a frequent problem in data clustering.
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In this work, we report on the evaluation of a superconducting fault current limiter (SFCL). It is consisted of a modular superconducting device combined with a short-circuited transformer with a primary copper winding connected in series to the power line and the secondary side short-circuited by the superconducting device. The basic idea is adding a magnetic component to contribute to the current limitation by the impedance reflected to the line after transition of the superconducting device. The evaluation tests were performed with a prospective current up to 2 kA, with the short-circuited transformer of 2.5 kVA, 220 V/660 V connected to a test facility of 100 kVA power capacity. The resistive SFCL using a modular superconducting device was tested without degradation for a prospective fault current of 1.8 kA, achieving the limiting factor 2.78; the voltage achieved 282 V corresponding to an electric field of 11 V/m. The test performed with the combined SFCL (xsuperconducting device + transformer) using series and toroidal transformers showed current limiting factor of 3.1 and 2 times, respectively. The test results of the combined SFCL with short-circuited transformer showed undesirable influence of the transformer impedance, resulting in reduction of the fault current level. © 2002-2011 IEEE.
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Incluye Bibliografía
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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This work, based in a patent request at INPI, protocol no. 020110035974, presents a system development using solar panels to supply the electricity demand required by punctual loads, without a storage unit or utility grid synchronism, through a control circuit that allows parallel operation with the power grid during low sunlight incidence periods. A study about solar panel construction and topologies for Power generation was done, in a atempt to evalute impacts in project. This development was modular, providing the system the possibility of power capacity expansion and load diversity as well, in an attempt to reduce the total energy requirements from the residential sector drained from the power grid along the day
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Resistive-type of superconducting fault current limiters (RSFCL) have been developed for medium voltage class aiming to operate at 1 MVA power capacity and short time recovery (< 2 s). A RSFCL in form of superconducting modular device was designed and constructed using 50 m-length of YBCO coated conductor tapes for operation under 1 kV / 1 kA and acting time of 0.1 s. In order to increase the acting time the RSFCL was combined with an air-core reactor in parallel to increase the fault limiting time up to 1 s. The tests determined the electrical and thermal characteristics of the combined resistive/ inductive protection unit. The combined fault current limiter reached a limiting current of 583 A, corresponding to a limiting factor of 3.3 times within an acting time of up to 1 s.
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In this paper, we consider non-ideal excitation devices such as DC motors with restrictenergy output capacity. When such motors are attached to structures which needexcitation power levels similar to the source power capacity, jump phenomena and theincrease in power required near resonance characterize the Sommerfeld Effect, actingas a sort of an energy sink. One of the problems often faced by designers of suchstructures is how to drive the system through resonance and avoid this energy sink.Our basic structural model is a simple portal frame driven by a num-ideal powersource-(NIPF). We also investigate the absorption of resonant vibrations (nonlinearand chaotic) by means of a nonlinear sub-structure known as a Nonlinear Energy Sink(NES). An energy exchange process between the NIPF and NES in the passagethrough resonance is investigated, as well the suppression of chaos.