Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Short-term wind power forecast based on cluster analysis and artificial neural networks

[EN]In this paper an architecture for an estimator of short-term wind farm power is proposed. The estimator is made up of a Linear Machine classifier and a set of k Multilayer Perceptrons, training each one for a specific subspace of the input space. The splitting of the input dataset into the k clusters is done using a k-means technique, obtaining the equivalent Linear Machine classifier from the cluster centroids...

Agreed-upon procedures report on the Villisca Municipal Power Plant for the period January 1, 2015 through December 31, 2015

Agreed-upon procedures report on the Villisca Municipal Power Plant for the period January 1, 2015 through December 31, 2015

Techno-Economic Assessment of LNG and Diesel Production and Global Trading Based on Hybrid PV-Wind Power Plants and PtG, GtL and PtL Technologies

With growing demand for liquefied natural gas (LNG) and liquid transportation fuels, and concerns about climate change and causes of greenhouse gas emissions, this master’s thesis introduces a new value chain design for LNG and transportation fuels and respective fundamental business cases based on hybrid PV-Wind power plants. The value chains are composed of renewable electricity (RE) converted by power-to-gas (PtG), gas-to-liquids (GtL) or power-to-liquids (PtL) facilities into SNG (which is finally liquefied into LNG) or synthetic liquid fuels, mainly diesel, respectively. The RE-LNG or RE-diesel are drop-in fuels to the current energy system and can be traded everywhere in the world. The calculations for the hybrid PV-Wind power plants, electrolysis, methanation (H2tSNG), hydrogen-to-liquids (H2tL), GtL and LNG value chain are performed based on both annual full load hours (FLh) and hourly analysis. Results show that the proposed RE-LNG produced in Patagonia, as the study case, is competitive with conventional LNG in Japan for crude oil prices within a minimum price range of about 87 - 145 USD/barrel (20 – 26 USD/MBtu of LNG production cost) and the proposed RE-diesel is competitive with conventional diesel in the European Union (EU) for crude oil prices within a minimum price range of about 79 - 135 USD/barrel (0.44 – 0.75 €/l of diesel production cost), depending on the chosen specific value chain and assumptions for cost of capital, available oxygen sales and CO2 emission costs. RE-LNG or RE-diesel could become competitive with conventional fuels from an economic perspective, while removing environmental concerns. The RE-PtX value chain needs to be located at the best complementing solar and wind sites in the world combined with a de-risking strategy. This could be an opportunity for many countries to satisfy their fuel demand locally. It is also a specific business case for countries with excellent solar and wind resources to export carbon-neutral hydrocarbons, when the decrease in production cost is considerably more than the shipping cost. This is a unique opportunity to export carbon-neutral hydrocarbons around the world where the environmental limitations on conventional hydrocarbons are getting tighter.

Life cycle management of TVO nuclear power plant

Tämä diplomityö tutkii eri elinkaarihallinnan menetelmiä ja vertaa niitä TVO:n menetelmiin. Lisäksi TVO:n prosessin ongelmakohdat tunnistetaan ja niihin esitetään ratkaisuja. Vertailukohteina toimii ydinvoimateollisuuden lisäksi vesivoima, fossiiliset voimalaitokset sekä paperiteollisuus. Sähkön hinnan jatkaessa laskuaan on elinkaariajattelusta tullut ajankohtaista myös ydinvoimayhtiöille. Ydinvoimalaitoksien pitkän suunnitellun käyttöiän ansiosta laitoksen elinkaaren aikana voi tapahtua useita asioita, jotka vaikuttavat laitoksen investointitarpeisiin. Turvallisen sähköntuotannon varmistamiseksi eri laitososia on joko muokattava tai uusittava. Elinkaariajatteluun kuuluu tehokas laitoksen kunnon valvonta, laitoksen ikääntymiseen vaikuttavien ilmiöiden tunnistaminen, sekä ikääntymistä hillitsevien toimenpiteiden pitkän tähtäimen suunnittelu. Hyvällä ennakkosuunnittelulla pyritään varmistamaan se, että laitoksella voidaan tuottaa sähköä koko sen jäljellä olevan käyttöiän aikana. Kun tarpeiden tunnistus ja suunnittelu tehdään hyvissä ajoin mahdollistetaan myös investointien optimointi. Paras hyöty pyritään saamaan ajoittamalla oikeat investoinnit oikeaan aikaan.

A review on the recent history of wind power ramp forecasting.

Forecasting large and fast variations of wind power (the so called ramps) helps achieve the integration of large amounts of wind energy. This paper presents a survey on wind power ramp forecasting, reflecting the increasing interest on this topic observed since 2007. Three main aspects were identified from the literature: wind power ramp definition, ramp underlying meteorological causes and experi-ences in predicting ramps. In this framework, we additionally outline a number of recommendations and potential lines of research.

Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data.

Forecasting abrupt variations in wind power generation (the so-called ramps) helps achieve large scale wind power integration. One of the main issues to be confronted when addressing wind power ramp forecasting is the way in which relevant information is identified from large datasets to optimally feed forecasting models. To this end, an innovative methodology oriented to systematically relate multivariate datasets to ramp events is presented. The methodology comprises two stages: the identification of relevant features in the data and the assessment of the dependence between these features and ramp occurrence. As a test case, the proposed methodology was employed to explore the relationships between atmospheric dynamics at the global/synoptic scales and ramp events experienced in two wind farms located in Spain. The achieved results suggested different connection degrees between these atmospheric scales and ramp occurrence. For one of the wind farms, it was found that ramp events could be partly explained from regional circulations and zonal pressure gradients. To perform a comprehensive analysis of ramp underlying causes, the proposed methodology could be applied to datasets related to other stages of the wind-topower conversion chain.

Life cycle assessment of residual forestry biomass chips at a power plant: a Portuguese case study

The residual forest biomass (RFB) sector has been experiencing strong development at European level and particularly in Portugal mainly due to the increase of energy production from renewable sources. The aim of this study is to assess the environmental impacts of eucalyptus RFB chips production chain in Portugal. The environmental and economic impact comparison of the processes included in the production chain is presented as well. The environmental impacts were calculated by the life cycle assessment approach described in the ISO 14040 series of standards. The production chain assessed included all processes from eucalyptus forest until the delivery of RFB chips at the power plant. The main conclusion of this study is that eucalyptus wood production is the process that presents the greatest environmental impact through the product life cycle.

Construção de um parque eólico industrial

Dissertação de Natureza Científica para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Edificações

Competitiveness Comparison of the Electricity Production Alternatives

The competitiveness comparison is carried out for merely electricity producing alternatives. In Finland, further construction of CHP (combined heat and power) power plants will continue and cover part of the future power supply deficit, but also new condensing power plant capacity will be needed. The following types of power plants are studied: - nuclear power plant, - coal-fired condensing power plant - combined cycle gas turbine plant, - peat-fired condensing power plant. - wood-fired condensing power plant - wind power plant The calculations have been made using the annuity method with a real interest rate of 5 % perannum and with a fixed price level as of March 2003. With the annual full load utilization time of 8000 hours the nuclear electricity would cost 23,7 ¤/MWh, the gas based electricity 32,3 ¤/MWh and coal based electricity 28,1 ¤/MWh. If the influence of emission trading is taken into account,the advantage of the nuclear power will still be improved. Inorder 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 tothe changes of the uranium price, whereas for natural gas alternative the rising trend of gas price causes the greatest risk.

Sähkön tuotantokustannusvertailu

Työssä vertaillaan eri sähköntuotantovaihtoehtojen taloudellista kannattavuutta. Kannattavuusvertailu suoritetaan pelkkää sähköä tuottaville voimalaitoksille. Sähkön ja lämmön yhteistuotannon lisärakentaminen tulee kattamaan tietyn osuuden lähitulevaisuuden sähkön hankinnan vajeesta, mutta sen lisäksi tarvitaan myös uutta lauhdetuotantokapasiteettia. Tutkittavat voimalaitostyypit ovat: ydinvoimalaitos, maakaasukombilauhdevoimalaitos, kivihiililauhdevoimalaitos, turvelauhdevoimalaitos, puulauhdevoimalaitos ja tuulivoimala. Kannattavuustarkastelu suoritetaan annuiteettimenetelmällä käyttäen 5 % reaalikorkoa ja tammikuun 2008 hintatasoa. Laskelmien perusteella 8000 tunnin huipunkäyttöajalla ydinsähkön tuotantokustannus olisi 35,0 € /MWh, kaasusähkön 59,2 €/MWh ja hiilisähkön 64,4 €/MWh, kun hiilidioksidipäästöoikeuden hintana käytetään 23 €/t. Ilman päästökauppaa kaasusähkön hinta on 51,2 €/MWh ja hiilisähkön 45,7 €/MWh ydinsähkön hinnan pysyessä ennallaan. Herkkyystarkastelun tulosten perusteella ydinvoiman kilpailukyky korostuu muihin tarkasteltuihin tuotantomuotoihin verrattuna. Ydinpolttoaineen suurellakaan hinnan muutoksella ei ole merkittävää vaikutusta ydinsähkön tuotantokustannukseen, kun taas maakaasusähkö on erittäin riippuvainen polttoaineen hinnasta. Myös päästöoikeuden hinnan kasvu lisää merkittävästi ydinvoiman kilpailukykyä kaasu- ja hiilisähköön verrattuna. Ydinvoimainvestoinnin kannattavuutta ja takaisinmaksua tarkastellaan myös yksinään siten, että investoinnilla saavutettavien tuottojen laskennassa käytetään useita eri sähkön markkinahintoja. Investoinnin kannattavuus on erittäin hyvä, kun sähkön markkinahinta on 50 €/MWh tai suurempi.

Comparison of electricity generation costs

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.

Tuulivoimakäytön verkkoliitynnät ja mittaukset

Tässä työssä tutkitaan muuttuvanopeuksisen tuulivoimakäytön verkkoliityntöjä, verkkomääräyksiä ja mittausmenetelmiä Euroopassa. Yleiset tuulivoimalaitoksen verkkomääräyksiin liittyvät asiat on selitetty standardisarjassa IEC 61000 ja mittauksiin liittyvät säännökset standardissa IEC 61400-21. Työssä selvitetään Euroopan yleiset verkkomääräykset ja vertaillaan niitä keskenään, sekä määritetään tärkeimmät mittaukset. Lisäksi esitellään eräs standardimittauksiin soveltuva mittalaite ja analysoidaan täystehomuokkaimen suorituskykyä tuulivoimapuistossa. Työssä havaittiin, että standardin mukaisten mittausten toteuttaminen ja analysointi on hyvin haastava prosessi. Verkkomääräysten eroavaisuudet aiheuttavat hankaluuksia tuulivoimalan valmistajan ja verkko-operaattorien välillä. Täten myös konvertterivalmistajan täytyy olla selvillä käytössä olevista verkkomääräyksistä ja standardeista.

Integrating distributed generation and Smart Grids into single-family house

This study examines Smart Grids and distributed generation, which is connected to a single-family house. The distributed generation comprises small wind power plant and solar panels. The study is done from the consumer point of view and it is divided into two parts. The first part presents the theoretical part and the second part presents the research part. The theoretical part consists of the definition of distributed generation, wind power, solar energy and Smart Grids. The study examines what the Smart Grids will enable. New technology concerning Smart Grids is also examined. The research part introduces wind and sun conditions from two countries. The countries are Finland and Germany. According to the wind and sun conditions of these two countries, the annual electricity production from wind power plant and solar panels will be calculated. The costs of generating electricity from wind and solar energy are calculated from the results of annual electricity productions. The study will also deal with feed-in tariffs, which are supporting systems for renewable energy resources. It is examined in the study, if it is cost-effective for the consumers to use the produced electricity by themselves or sell it to the grid. Finally, figures for both countries are formed. The figures include the calculated cost of generating electricity from wind power plant and solar panels, retail and wholesale prices and feed-in tariffs. In Finland, it is not cost-effective to sell the produced electricity to the grid, before there are support systems. In Germany, it is cost-effective to sell the produced electricity from solar panels to the grid because of feed-in tariffs. On the other hand, in Germany it is cost-effective to produce electricity from wind to own use because the retail price is higher than the produced electricity from wind.