985 resultados para Electricity Price Forecast


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Automaattisen mittarinluvun yleistyminen ja asiakkaan verkkoliitynnässä käytettävän tekniikan kehittyminen luovat pohjan uudentyyppisen interaktiivisen asiakasrajanpinnan synnylle. Se voi osaltaan mahdollistaa asiakkaan entistä joustavamman sähköverkkoon liitynnän sekä nykyistä reaaliaikaisemmat ja tarkemmat mittaukset. Näiden pohjalle on mahdollista kehittää erilaisia energiatehokkuutta tukevia toimintoja ja niihin perustuvia palveluita. Tämän työn tarkoituksena on tutkia interaktiivisen asiakasrajapinnan mahdollistamia energiatehokkuutta tukevia toimintoja. Lupaavimpia toimintoja, niiden kannattavuutta ja potentiaalia energiatehokkuuden parantamisessa analysoidaan tarkemmin. Lisäksi tarkastellaan niihin tarvittavaa tekniikkaa, mittaustietoja ja tiedonsiirtoa. Nykyinen tekniikka mahdollistaa useiden erilaisten energiatehokkuutta tukevien toimintojen toteuttamisen. Tässä työssä käsiteltiin tarkemmin energiayhtiön AMR-pohjaista tasehallintaa ja sähkön pienkuluttajien hintaohjausta. AMR-pohjaisen tasehallinnan havaittiin olevan oikein kohdennettuna kannattavaa. Sähkön hintaohjaus voi laajassa mittakaavassa toteutettuna olla kannattavaa, mutta yksittäiskohteissa sen toteutuksen kustannukset ovat liian suuret. Suurimpia ongelmia energiatehokkuutta tukevien toimintojen toteutuksen kannalta muodostavat usein kiinteät kustannukset sekä yleisten rajapin-tavaatimusten ja toimintamallien puute. Tuotteiden standardointi, sarjatuotanto sekä tekniikan kehittyminen voivat mahdollistaa kiinteiden kustannusten huomattavan pienenemisen ja tätä kautta toimintojen kustannustehokkuuden paranemisen. Kehittämällä uusia yhteisiä toimintamalleja ja tuotteita voidaan käytettävissä olevaa tekniikkaa hyödyntää tehokkaammin. Myös uudet näköpiirissä olevat nopeammat ja luotettavammat tiedonsiirtotekniikat voivat mahdollistaa reaaliaikaisemmat mittaustietojen ja signaalien välitykset, mikä usein parantaa toimintojen tehokkuutta ja kannattavuutta.

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Maailman energian kulutuksen lisääntymisen ja ilmastonmuutoksen myötä energiantuotannossa joudutaan jatkuvasti sopeutumaan muuttuviin tilanteisiin ja haasteisiin. Polttoteknillisiä haasteita aiheuttavat pelto- ja kierrätyspolttoaineet ovat lisäämässä osuuttaan uusiutuvien polttoaineiden joukossa. Jotta kyseisiä haasteellisia polttoaineita pystytään hyödyntämään, täytyy niiden aiheuttamat ongelmat tuntea ja laitevalmistajien kehittää niiden hyödyntämiseen sopivaa tekniikkaa. Tässä diplomityössä käydään läpi tulevaisuudessa käytettävät polttoaineet, nykyiset päästörajat, kiinteiden polttoaineiden poltto- ja kaasutustekniikat sekä likaantumis-, kuonaantumis- ja korroosiomekanismit voimalaitoskattiloissa. Työssä tutkitaan, onko haasteellisten polttoaineiden käyttöön investoiminen järkevää ja mikä nykypäivän tekniikoista on kannattavin. Myös välitulistuksen, lauhdeperän ja apujäähdyttimen kannattavuuksia vertaillaan sähkön ja lämmön yhteistuotannossa. Tuloksiksi saatiin, että edullisten peltobiomassojen ja kierrätyspolttoaineiden käyttäminen, joko perinteisten polttoaineiden seassa tai pääpolttoaineena, on nykyhinnoilla perinteisiin polttoaineisiin verrattuna kannattavaa. Investoiminen kierrätyspolttoaineiden valmistuslaitteisiin maksimoi kierrätyspolttoaineista saatavaa hyötyä. Välitulistuksen todettiin soveltuvan huonosti vastapaineprosessiin, sillä siitä saatava sähköntuotannon lisäys on hyvin pieni. Lauhdeperän ja apujäähdyttimen vertailuissa huomattiin, että lauhdeperä on kannattava investointi, jos sähkön ja lämmön hintaero pysyy tarpeeksi suurena. Haasteellisilla polttoaineilla pystytään pienentämään kasvihuonepäästöjä ja korvaamaan fossiilisten polttoaineiden käyttöä.

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Tuulivoimalla on pitkä historia. Tuulivoima soveltuu nykyajan energiantuotantoon. Suunniteltaessa ja rakennettaessa uusia tuulivoimaloita on tunnettava tuulisuuteen vaikuttavat tekijät samoin kuin tuulivoimalan sijoituspaikalla on tehtävä perusteelliset tuu-liolosuhdemittaukset. Nykyisellä sähkön hinnalla tuulivoimalat eivät ole täysin kilpailukykyisiä, joten niitä on tuettava. Tukimuotoja on monia. Suomessa pääasiallinen tukimuoto on syöttötariffi. Vallitseva politiikka on ratkaisevassa asemassa luotaessa tukijärjestelmiä tuulivoimalle. Suomessa tehtävät tuulivoimainvestoinnit ovat kasvussa. Tuulivoimaan liittyy niin hyviä kuin huonoja puolia. Huonot puolet ovat ratkaistavissa. Päästökaupan kannalta on tuulivoima yksi keino alentaa kasvihuonekaasuja ilmakehässä. Tuulivoiman osuuden kasvattaminen sähköntuotannossa luo työpaikkoja Suomeen ja luo vientimahdollisuuksia ulkomaille. Tuulivoimalla on valoisa tulevaisuus.

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Tässä diplomityössä on tutkittu lauhdekapasiteetin ennenaikaisen markkinoilta poistumisen energiataloudellisia vaikutuksia. Tarkastelu toteutettiin sähkömarkkinamallinnuksen avulla luomalla kaksi erilaista lauhdekapasiteettiskenaariota perustuen arvioituun lauhdekapasiteetin poistumiseen sekä vastavuoroisesti sen säilymiseen markkinoilla. Skenaarioiden vaikutuksia tutkittiin myös herkkyystarkasteluin ja tuloksia analysoitiin energiataloudellisesta näkökulmasta. Työn tavoitteena oli selvittää lauhdekapasiteetin ennenaikaisen poistumisen energiataloudellista kustannusta. Viime vuosien pitkittynyt talouden taantuma on hillinnyt kysynnän ennakoitua kehitystä johtaen alhaiseen sähkön markkinahintatasoon. Samalla tiukentuneet energiatuotannon ympäristövaatimukset asettavat investointirasitteita perinteisille voimalaitoksille heikentäen niiden taloudellisen kannattavuuden edellytyksiä. Markkinasähkön alhainen hintataso yhdessä investointirasitteiden kanssa asettaa haasteita etenkin usein rajatuotantomuotona toimiville lauhdelaitoksille. Alhaisen kannattavuuden seurauksena lauhdekapasiteettia arvioidaan poistuvan ennen teknisen käyttöiän täyttymistä markkinoilta merkittävästi lähivuosina. Kapasiteetin poistuminen kasvattaa oman tuotannon ja kysynnän välistä tehovajetta, minkä vuoksi sähköjärjestelmän nähdään tiukentuvan merkittävästi ennen rakenteilla olevan ydinvoimalaitoksen valmistumista. Työssä toteutettujen mallinnusten perusteella lauhdekapasiteetin väheneminen nostaa sähkön hintatasoa sekä lisää korkeiden hintapiikkien esiintymistä merkittävästi suhteessa korkeamman kapasiteetin tuloksiin. Sähköjärjestelmä on hyvin tiukka ennen rakenteilla olevan ydinvoimalaitoksen käyttöönottoa, minkä vuoksi lauhdekapasiteetin eroavaisuuksien vaikutukset ovat merkittävä etenkin poikkeuksellisen kylmänä vuotena. Lauhdekapasiteetin merkitys pienenee selvästi 2020-luvulla, kun oma tuotantokapasiteetti kasvaa. Työn tulosten perusteella lähivuosina alhaisemman lauhdekapasiteetin aiheuttama vuotuinen energiataloudellinen kustannus on huomattavasti korkeampi kuin laitosten kannattavan ylläpidon vaatima kustannus.

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This paper addresses the economics of Enhanced Landfill Mining (ELFM) both from a private point of view as well as from a society perspective. The private potential is assessed using a case study for which an investment model is developed to identify the impact of a broad range of parameters on the profitability of ELFM. We found that especially variations in Waste-to-Energy (WtE efficiency, electricity price, CO2-price, WtE investment and operational costs) and ELFM support explain the variation in economic profitability measured by the Internal Rate of Return. To overcome site-specific parameters we also evaluated the regional ELFM potential for the densely populated and industrial region of Flanders (north of Belgium). The total number of potential ELFM sites was estimated using a 5-step procedure and a simulation tool was developed to trade-off private costs and benefits. The analysis shows that there is a substantial economic potential for ELFM projects on the wider regional level. Furthermore, this paper also reviews the costs and benefits from a broader perspective. The carbon footprint of the case study was mapped in order to assess the project’s net impact in terms of greenhouse gas emissions. Also the impacts of nature restoration, soil remediation, resource scarcity and reduced import dependence were valued so that they can be used in future social cost-benefit analysis. Given the complex trade-off between economic, social and environmental issues of ELFM projects, we conclude that further refinement of the methodological framework and the development of the integrated decision tools supporting private and public actors, are necessary.

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O objetivo dessa dissertação é estabelecer um modelo quantitativo de gestão de riscos estratégicos de um ativo de produção de petróleo, notadamente o valor em risco do seu fluxo de caixa e de sua rentabilidade. Para tanto, foi utilizado um modelo de fluxo de caixa onde a receita operacional foi definida como variável estocástica. A receita operacional foi estimada a partir de uma função de perdas que descreve o volume de produção de petróleo, e de uma trajetória de preços definida por um modelo geométrico browniano sem reversão a média e com volatilidade descrita por um processo GARCH. Os resultados obtidos demonstram que o modelo proposto é capaz de fornecer informações importantes para a gestão de riscos de ativos de produção de petróleo ao passo que permite a quantificação de diferentes fatores de risco que afetam a rentabilidade das operações. Por fim, o modelo aqui proposto pode ser estendido para a avaliação do risco financeiro e operacional de um conjunto de ativos de petróleo, considerando sua estrutura de dependência e a existência de restrições de recursos financeiros, físicos e humanos.

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The thesis analyses the European Unions’ effort to create an integrated pan-European electricity market based on “market coupling” as the proposed allocation mechanism for interconnector transfer capacity. Thus, the thesis’ main focus is if market coupling leads to a price convergence in interlinked markets and how it affects the behavior of electricity price data. The applied research methods are a qualitative, structured literature review and a quantitative analysis of electricity price data. The quantitative analysis relies on descriptive statistics of absolute price differentials and on a Cointegration analysis according to Engle & Granger (1987)’s two step approach. Main findings are that implicit auction mechanisms such as market coupling are more efficient than explicit auctions. Especially the method of price coupling leads to a price convergence in involved markets, to social welfare gains and reduces market power of producers, as shown on the example of the TLC market coupling. The market coupling initiative between Germany and Denmark, on the other hand, is evaluated as less successful and illustrates the complexity and difficulties of implementing market coupling initiatives. The cointegration analysis shows that the time series were already before the coupling date cointegrated, but the statistical significance increased. The thesis suggests that market coupling leads to a price convergence of involved markets and thus functions as method to create a single, integrated European electricity market.

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When an area to be irrigated has a high slope gradient in the manifold line direction, an option is to use a tapered pipeline to economize on pipe costs and to keep pressure head variations within desired limits. The objective of this paper is to develop a linear optimization model to design a microirrigation system with tapered, downhill manifold lines, minimizing the equivalent annual cost of the hydraulic network and the annual pumping cost, and maximizing the emission uniformity previously established to the subunit. The input data are irrigation system layout, cost of all hydraulic network components, and electricity price. The output data are equivalent annual cost, pipeline diameter in each line of the system, pressure head in each node, and total operating pressure head. To illustrate its capability, the model is applied in a citrus orchard in Sao, Paulo State, Brazil, considering slopes of 3, 6, and 9%. The model proved to be efficient in the design of the irrigation system in terms of the emission uniformity desired.

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A predição do preço da energia elétrica é uma questão importante para todos os participantes do mercado, para que decidam as estratégias mais adequadas e estabeleçam os contratos bilaterais que maximizem seus lucros e minimizem os seus riscos. O preço da energia tipicamente exibe sazonalidade, alta volatilidade e picos. Além disso, o preço da energia é influenciado por muitos fatores, tais como: demanda de energia, clima e preço de combustíveis. Este trabalho propõe uma nova abordagem híbrida para a predição de preços de energia no mercado de curto prazo. Tal abordagem combina os filtros autorregressivos integrados de médias móveis (ARIMA) e modelos de Redes Neurais (RNA) numa estrutura em cascata e utiliza variáveis explanatórias. Um processo em dois passos é aplicado. Na primeira etapa, as variáveis explanatórias são preditas. Na segunda etapa, os preços de energia são preditos usando os valores futuros das variáveis exploratórias. O modelo proposto considera uma predição de 12 passos (semanas) a frente e é aplicada ao mercado brasileiro, que possui características únicas de comportamento e adota o despacho centralizado baseado em custo. Os resultados mostram uma boa capacidade de predição de picos de preço e uma exatidão satisfatória de acordo com as medidas de erro e testes de perda de cauda quando comparado com técnicas tradicionais. Em caráter complementar, é proposto um modelo classificador composto de árvores de decisão e RNA, com objetivo de explicitar as regras de formação de preços e, em conjunto com o modelo preditor, atuar como uma ferramenta atrativa para mitigar os riscos da comercialização de energia.

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Pós-graduação em Engenharia Mecânica - FEIS

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In this paper the daily temporal and spatial behavior of electric vehicles (EVs) is modelled using an activity-based (ActBM) microsimulation model for Flanders region (Belgium). Assuming that all EVs are completely charged at the beginning of the day, this mobility model is used to determine the percentage of Flemish vehicles that cannot cover their programmed daily trips and need to be recharged during the day. Assuming a variable electricity price, an optimization algorithm determines when and where EVs can be recharged at minimum cost for their owners. This optimization takes into account the individual mobility constraint for each vehicle, as they can only be charged when the car is stopped and the owner is performing an activity. From this information, the aggregated electric demand for Flanders is obtained, identifying the most overloaded areas at the critical hours. Finally it is also analyzed what activities EV owners are underway during their recharging period. From this analysis, different actions for public charging point deployment in different areas and for different activities are proposed.

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The predictive accuracy of competing crude-oil price forecast densities is investigated for the 1994–2006 period. Moving beyond standard ARCH type models that rely exclusively on past returns, we examine the benefits of utilizing the forward-looking information that is embedded in the prices of derivative contracts. Risk-neutral densities, obtained from panels of crude-oil option prices, are adjusted to reflect real-world risks using either a parametric or a non-parametric calibration approach. The relative performance of the models is evaluated for the entire support of the density, as well as for regions and intervals that are of special interest for the economic agent. We find that non-parametric adjustments of risk-neutral density forecasts perform significantly better than their parametric counterparts. Goodness-of-fit tests and out-of-sample likelihood comparisons favor forecast densities obtained by option prices and non-parametric calibration methods over those constructed using historical returns and simulated ARCH processes. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:727–754, 2011

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This paper presents an assessment of the technical and economic performance of thermal processes to generate electricity from a wood chip feedstock by combustion, gasification and fast pyrolysis. The scope of the work begins with the delivery of a wood chip feedstock at a conversion plant and ends with the supply of electricity to the grid, incorporating wood chip preparation, thermal conversion, and electricity generation in dual fuel diesel engines. Net generating capacities of 1–20 MWe are evaluated. The techno-economic assessment is achieved through the development of a suite of models that are combined to give cost and performance data for the integrated system. The models include feed pretreatment, combustion, atmospheric and pressure gasification, fast pyrolysis with pyrolysis liquid storage and transport (an optional step in de-coupled systems) and diesel engine or turbine power generation. The models calculate system efficiencies, capital costs and production costs. An identical methodology is applied in the development of all the models so that all of the results are directly comparable. The electricity production costs have been calculated for 10th plant systems, indicating the costs that are achievable in the medium term after the high initial costs associated with novel technologies have reduced. The costs converge at the larger scale with the mean electricity price paid in the EU by a large consumer, and there is therefore potential for fast pyrolysis and diesel engine systems to sell electricity directly to large consumers or for on-site generation. However, competition will be fierce at all capacities since electricity production costs vary only slightly between the four biomass to electricity systems that are evaluated. Systems de-coupling is one way that the fast pyrolysis and diesel engine system can distinguish itself from the other conversion technologies. Evaluations in this work show that situations requiring several remote generators are much better served by a large fast pyrolysis plant that supplies fuel to de-coupled diesel engines than by constructing an entire close-coupled system at each generating site. Another advantage of de-coupling is that the fast pyrolysis conversion step and the diesel engine generation step can operate independently, with intermediate storage of the fast pyrolysis liquid fuel, increasing overall reliability. Peak load or seasonal power requirements would also benefit from de-coupling since a small fast pyrolysis plant could operate continuously to produce fuel that is stored for use in the engine on demand. Current electricity production costs for a fast pyrolysis and diesel engine system are 0.091/kWh at 1 MWe when learning effects are included. These systems are handicapped by the typical characteristics of a novel technology: high capital cost, high labour, and low reliability. As such the more established combustion and steam cycle produces lower cost electricity under current conditions. The fast pyrolysis and diesel engine system is a low capital cost option but it also suffers from relatively low system efficiency particularly at high capacities. This low efficiency is the result of a low conversion efficiency of feed energy into the pyrolysis liquid, because of the energy in the char by-product. A sensitivity analysis has highlighted the high impact on electricity production costs of the fast pyrolysis liquids yield. The liquids yield should be set realistically during design, and it should be maintained in practice by careful attention to plant operation and feed quality. Another problem is the high power consumption during feedstock grinding. Efficiencies may be enhanced in ablative fast pyrolysis which can tolerate a chipped feedstock. This has yet to be demonstrated at commercial scale. In summary, the fast pyrolysis and diesel engine system has great potential to generate electricity at a profit in the long term, and at a lower cost than any other biomass to electricity system at small scale. This future viability can only be achieved through the construction of early plant that could, in the short term, be more expensive than the combustion alternative. Profitability in the short term can best be achieved by exploiting niches in the market place and specific features of fast pyrolysis. These include: •countries or regions with fiscal incentives for renewable energy such as premium electricity prices or capital grants; •locations with high electricity prices so that electricity can be sold direct to large consumers or generated on-site by companies who wish to reduce their consumption from the grid; •waste disposal opportunities where feedstocks can attract a gate fee rather than incur a cost; •the ability to store fast pyrolysis liquids as a buffer against shutdowns or as a fuel for peak-load generating plant; •de-coupling opportunities where a large, single pyrolysis plant supplies fuel to several small and remote generators; •small-scale combined heat and power opportunities; •sales of the excess char, although a market has yet to be established for this by-product; and •potential co-production of speciality chemicals and fuel for power generation in fast pyrolysis systems.

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To achieve the goal of sustainable development, the building energy system was evaluated from both the first and second law of thermodynamics point of view. The relationship between exergy destruction and sustainable development were discussed at first, followed by the description of the resource abundance model, the life cycle analysis model and the economic investment effectiveness model. By combining the forgoing models, a new sustainable index was proposed. Several green building case studies in U.S. and China were presented. The influences of building function, geographic location, climate pattern, the regional energy structure, and the technology improvement potential of renewable energy in the future were discussed. The building’s envelope, HVAC system, on-site renewable energy system life cycle analysis from energy, exergy, environmental and economic perspective were compared. It was found that climate pattern had a dramatic influence on the life cycle investment effectiveness of the building envelope. The building HVAC system energy performance was much better than its exergy performance. To further increase the exergy efficiency, renewable energy rather than fossil fuel should be used as the primary energy. A building life cycle cost and exergy consumption regression model was set up. The optimal building insulation level could be affected by either cost minimization or exergy consumption minimization approach. The exergy approach would cause better insulation than cost approach. The influence of energy price on the system selection strategy was discussed. Two photovoltaics (PV) systems—stand alone and grid tied system were compared by the life cycle assessment method. The superiority of the latter one was quite obvious. The analysis also showed that during its life span PV technology was less attractive economically because the electricity price in U.S. and China did not fully reflect the environmental burden associated with it. However if future energy price surges and PV system cost reductions were considered, the technology could be very promising for sustainable buildings in the future.

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To achieve the goal of sustainable development, the building energy system was evaluated from both the first and second law of thermodynamics point of view. The relationship between exergy destruction and sustainable development were discussed at first, followed by the description of the resource abundance model, the life cycle analysis model and the economic investment effectiveness model. By combining the forgoing models, a new sustainable index was proposed. Several green building case studies in U.S. and China were presented. The influences of building function, geographic location, climate pattern, the regional energy structure, and the technology improvement potential of renewable energy in the future were discussed. The building’s envelope, HVAC system, on-site renewable energy system life cycle analysis from energy, exergy, environmental and economic perspective were compared. It was found that climate pattern had a dramatic influence on the life cycle investment effectiveness of the building envelope. The building HVAC system energy performance was much better than its exergy performance. To further increase the exergy efficiency, renewable energy rather than fossil fuel should be used as the primary energy. A building life cycle cost and exergy consumption regression model was set up. The optimal building insulation level could be affected by either cost minimization or exergy consumption minimization approach. The exergy approach would cause better insulation than cost approach. The influence of energy price on the system selection strategy was discussed. Two photovoltaics (PV) systems – stand alone and grid tied system were compared by the life cycle assessment method. The superiority of the latter one was quite obvious. The analysis also showed that during its life span PV technology was less attractive economically because the electricity price in U.S. and China did not fully reflect the environmental burden associated with it. However if future energy price surges and PV system cost reductions were considered, the technology could be very promising for sustainable buildings in the future.