Julkisten tukitoimien vaikutus sähköautojen yleistymiseen

Tässä kandidaatintyössä tutkittiin julkisten toimijoiden asettamia sähköautojen yleistymistavoitteita kymmenessä maassa. Tutkimus toteutettiin kirjallisuusselvityksenä. Tavoitteena oli selvittää sähköautojen yleistymiseen vaikuttavia tekijöitä. Erityisenä kiinnostuksen kohteena olivat julkishallintojen sähköauton hankintaan kohdistamat kannustimet eri maissa ja se, onko kannustimien voimakkuudella havaittavissa olevaa vaikutusta sähköautojen yleistymiseen. Tutkimuksessa luotiin myös katsaus sähköautojen myyntiin ja yleistymisodotuksiin Suomessa ja verrattiin niitä muihin maihin. Tutkimuksessa havaittiin, että kannustimien voimakkuudella ei ole selvää yhteyttä sähköautojen yleistymiseen. On mahdollista, että kannustimet vaikuttavat positiivisesti sähköautojen myyntiin. Vaikuttavia tekijöitä on kuitenkin muitakin, ja niiden vaikutus voi olla suurempi kuin julkisten kannustimien. Suomessa sähköautojen myynti on samassa suuruusluokassa kuin Keski-Euroopassa, mutta merkittävästi jäljessä muita Pohjoismaita. Myös kannustimien voimakkuudella mitattuna Suomi häviää muille Pohjoismaille ja lisäksi useille Euroopan maille. Voimakkaammat tukimuodot voisivat kasvattaa sähköautojen myyntiä Suomessa, mutta julkisen talouden alijäämäisyys ei luultavasti mahdollista nykyistä voimakkaampien tukien käyttöönottoa.

Modeling and Parameter Estimation of Double-Star Permanent Magnet Synchronous Machines

The power rating of wind turbines is constantly increasing; however, keeping the voltage rating at the low-voltage level results in high kilo-ampere currents. An alternative for increasing the power levels without raising the voltage level is provided by multiphase machines. Multiphase machines are used for instance in ship propulsion systems, aerospace applications, electric vehicles, and in other high-power applications including wind energy conversion systems. A machine model in an appropriate reference frame is required in order to design an efficient control for the electric drive. Modeling of multiphase machines poses a challenge because of the mutual couplings between the phases. Mutual couplings degrade the drive performance unless they are properly considered. In certain multiphase machines there is also a problem of high current harmonics, which are easily generated because of the small current path impedance of the harmonic components. However, multiphase machines provide special characteristics compared with the three-phase counterparts: Multiphase machines have a better fault tolerance, and are thus more robust. In addition, the controlled power can be divided among more inverter legs by increasing the number of phases. Moreover, the torque pulsation can be decreased and the harmonic frequency of the torque ripple increased by an appropriate multiphase configuration. By increasing the number of phases it is also possible to obtain more torque per RMS ampere for the same volume, and thus, increase the power density. In this doctoral thesis, a decoupled d–q model of double-star permanent-magnet (PM) synchronous machines is derived based on the inductance matrix diagonalization. The double-star machine is a special type of multiphase machines. Its armature consists of two three-phase winding sets, which are commonly displaced by 30 electrical degrees. In this study, the displacement angle between the sets is considered a parameter. The diagonalization of the inductance matrix results in a simplified model structure, in which the mutual couplings between the reference frames are eliminated. Moreover, the current harmonics are mapped into a reference frame, in which they can be easily controlled. The work also presents methods to determine the machine inductances by a finite-element analysis and by voltage-source inverters on-site. The derived model is validated by experimental results obtained with an example double-star interior PM (IPM) synchronous machine having the sets displaced by 30 electrical degrees. The derived transformation, and consequently, the decoupled d–q machine model, are shown to model the behavior of an actual machine with an acceptable accuracy. Thus, the proposed model is suitable to be used for the model-based control design of electric drives consisting of double-star IPM synchronous machines.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

Potential for Greenhouse Gas Emission Reductions by Using Biomethane as a Road Transportation Fuel

The aim of this thesis is to study whether the use of biomethane as a transportation fuel is reasonable from climate change perspective. In order to identify potentials and challenges for the reduction of greenhouse gas (GHG) emissions, this dissertation focuses on GHG emission comparisons, on feasibility studies and on the effects of various calculation methodologies. The GHG emissions calculations are carried out by using life cycle assessment (LCA) methodologies. The aim of these LCA studies is to figure out the key parameters affecting the GHG emission saving potential of biomethane production and use and to give recommendations related to methodological choices. The feasibility studies are also carried out from the life cycle perspective by dividing the biomethane production chain for various operators along the life cycle of biomethane in order to recognize economic bottlenecks. Biomethane use in the transportation sector leads to GHG emission reductions compared to fossil transportation fuels in most cases. In addition, electricity and heat production from landfill gas, biogas or biomethane leads to GHG reductions as well. Electricity production for electric vehicles is also a potential route to direct biogas or biomethane energy to transportation sector. However, various factors along the life cycle of biomethane affect the GHG reduction potentials. Furthermore, the methodological selections have significant effects on the results. From economic perspective, there are factors related to different operators along the life cycle of biomethane, which are not encouraging biomethane use in the transportation sector. To minimize the greenhouse gas emissions from the life cycle of biomethane, waste feedstock should be preferred. In addition, energy consumption, methane leakages, digestate utilization and the current use of feedstock or biogas are also key factors. To increase the use of biomethane in the transportation sector, political steering is needed to improve the feasibility for the operators. From methodological perspective, it is important to recognize the aim of the life cycle assessment study. The life cycle assessment studies can be divided into two categories: 1.) To produce average GHG information of biomethane to evaluate the acceptability of biomethane use compared to fossil transportation fuels. 2.) To produce GHG information of biomethane related to actual decision-making situations. This helps to figure out the actual GHG emission changes in cases when feedstock, biogas or biomethane are already in other use. For example directing biogas from electricity production to transportation use does not necessarily lead to additional GHG emission reductions. The use of biomethane seems to have a lot of potential for the reduction of greenhouse gas emissions as a transportation fuel. However, there are various aspects related to production processes, to the current use of feedstock or biogas and to the feasibility that have to be taken into account.

Siirtohinnoittelun kehittäminen etäluettavilta mittareilta saatavan datan avulla sähkönjakeluyhtiö Mäntsälän Sähkö Oy:lle

Sähkönsiirtomaksuilla katetaan luonnollisena alueellisena monopolina toimivan paikallisen sähkönjakeluyhtiön toiminta. Koska sähköverkkoyhtiöt toimivat monopoliasemassa, niiden toimintaa valvoo Energiavirasto. Energiavirasto valvoo pääasiassa verkkoyhtiöiden liikevaihtoa ja toiminnan tehokkuutta. Verkkoyhtiöiden toimintaa säätää Suomessa sähkömarkkinalaki. Verkkoyhtiöiden kustannusrakenne on hyvin sidottu verkoston kustannuksiin. Koska sähköverkoston kustannukset ovat pitkän käyttöiän ja suurien alkuinvestointien vuoksi vuosittain kiinteät ja merkittävän suuret, olisi verkkoyhtiön kannalta tärkeää, että vuosittaiset tulot eivät suuresti vaihtelisi. Nykyisellä hinnoittelumallilla kuitenkin verkkoyhtiöiden tulot jäävät hyvin riippuvaisiksi talven kylmyydestä. Nykyisin Suomessa yleisesti käytettävässä siirtohinnoittelun hinnoittelumallissa ei huomioida myöskään sitä, että verkkoyhtiön kustannukset ovat enemmän riippuvaisia verkossa siirretyistä tehoista kuin energioista. Siirtohinnoittelun kannalta on tapahtunut ja on tapahtumassa merkittäviä muutoksia. Etäluettavien sähkönkulutusmittarien käyttöönoton myötä asiakkaiden kulutuksesta saadaan huomattavasti entistä enemmän tietoa, mikä auttaa kustannusvastaavien hintojen määrittämisessä. Samaan aikaan asiakkaiden sähkön käyttö voi muuttua huomattavasti varsinkin sähköautojen ja lämpöpumppujen yleistymisen myötä. Tämän työn tarkoituksena on luoda Mäntsälän Sähkö Oy:lle sähkönsiirtohinnoittelun kustannuksia vastaavien hintojen määrittämiseksi laskentasovellus sekä selvittää tulevaisuuden siirtohinnoittelun toteuttamismahdollisuuksia. Lyhyen aikavälin suunnittelussa keskitytään kustannusvastaavien hintojen määrittämiseen keskihintaperiaatteen avulla ja pidemmän aikavälin suunnittelussa asiakkaiden huipputehoihin perustuvan hinnoittelun toteuttamisen vaikutuksiin sekä verkkoyhtiön että asiakkaan näkökulmasta.

Determining vehicle drivetrain dynamics using system identification

Target of this book is to propose an approach for modelling drivetrain dynamics in order to design further a vibration control system of a hybrid bus. In this thesis two approaches are examined and compared. First model is obtained by theoretical means: drivetrain is represented as a system of rotating masses, which motion is described with differential equations. Second model is obtained using system identification method: mathematical description of the dynamic behavior of a system is formed based on measured input (torque) and output (speed) data. Then two models are compared and an optimal approach is suggested.

Modelling of changes in electricity end-use and their impacts on electricity distribution

The electricity distribution sector will face significant changes in the future. Increasing reliability demands will call for major network investments. At the same time, electricity end-use is undergoing profound changes. The changes include future energy technologies and other advances in the field. New technologies such as microgeneration and electric vehicles will have different kinds of impacts on electricity distribution network loads. In addition, smart metering provides more accurate electricity consumption data and opportunities to develop sophisticated load modelling and forecasting approaches. Thus, there are both demands and opportunities to develop a new type of long-term forecasting methodology for electricity distribution. The work concentrates on the technical and economic perspectives of electricity distribution. The doctoral dissertation proposes a methodology to forecast electricity consumption in the distribution networks. The forecasting process consists of a spatial analysis, clustering, end-use modelling, scenarios and simulation methods, and the load forecasts are based on the application of automatic meter reading (AMR) data. The developed long-term forecasting process produces power-based load forecasts. By applying these results, it is possible to forecast the impacts of changes on electrical energy in the network, and further, on the distribution system operator’s revenue. These results are applicable to distribution network and business planning. This doctoral dissertation includes a case study, which tests the forecasting process in practice. For the case study, the most prominent future energy technologies are chosen, and their impacts on the electrical energy and power on the network are analysed. The most relevant topics related to changes in the operating environment, namely energy efficiency, microgeneration, electric vehicles, energy storages and demand response, are discussed in more detail. The study shows that changes in electricity end-use may have radical impacts both on electrical energy and power in the distribution networks and on the distribution revenue. These changes will probably pose challenges for distribution system operators. The study suggests solutions for the distribution system operators on how they can prepare for the changing conditions. It is concluded that a new type of load forecasting methodology is needed, because the previous methods are no longer able to produce adequate forecasts.

Piirilevyn suunnittelu suurelle virralle DC/DC-muuntimeen

Ajoneuvoissa, kuten busseissa, käytetään yleensä 24 VDC järjestelmiä ja tämä ei muutu myöskään sähköajoneuvojen kohdalla. Sähköajoneuvoissakin tarvitaan siis 24 VDC matalajänniteakustoja valoille, pyyhkijöille ja muille matalan jännitteen järjestelmille. Lisäksi sähköajoneuvoissa on esimerkiksi ilmastointi ja paineilmankompressori, jotka tarvitsevat taajuusmuuttajan pyörittämään niitä. Tässä työssä suunnitellaan suuren virran piilevy DC/DC-muuntimeen, joka on osa ajoneuvokäyttöön suunnitellun invertterin ja DC/DC-muuntimen yhdistelmälaitetta. Työn pääpaino on piirilevyn suunnittelussa, mutta työssä kerrotaan lyhyesti koko laitteen kytkentä ja käyttötarkoitus. Työssä kerrotaan myös tehopiirilevylle tulevien komponenttien valinta, mitoitus ja jäähdytys. Käydään läpi suuren virran piirilevysuunnittelun mitoitusperiaatteet ja mitä seikkoja siinä erityisesti tulee ottaa huomioon. Lisäksi käsitellään piirilevyn liityntöjä ja virtakiskojen lämpenemää virranahtautumisen takia. Suunniteltua piirilevyä mitataan ja sen toimintaa kokeillaan prototyyppilaitteessa. Protoyyppilaitteella havaitaan virtakiskojen lämpenevän liikaa ja huomataan ongelma kytkenssä. Kytkentää korjattiin ja toimintaa analysoitiin uudestaan, jonka jälkeen havaittiin piirilevyn lämpenemän tippuneen 20 °C. Lopputuloksena piirilevyn lämpenemä, korjatulla kytkennällä, on suunnitellun mukainen. Lopussa esitetään piirilevyn korvaamista moduuliratkaisulla laitteen parantamiseksi sarjatuotantoon.

Thermal modelling of commercial lithium-ion batteries

The accelerating adoption of electrical technologies in vehicles over the recent years has led to an increase in the research on electrochemical energy storage systems, which are among the key elements in these technologies. The application of electrochemical energy storage systems for instance in hybrid electrical vehicles (HEVs) or hybrid mobile working machines allows tolerating high power peaks, leading to an opportunity to downsize the internal combustion engine and reduce fuel consumption, and therefore, CO2 and other emissions. Further, the application of electrochemical energy storage systems provides an option of kinetic and potential energy recuperation. Presently, the lithium-ion (Li-ion) battery is considered the most suitable electrochemical energy storage type in HEVs and hybrid mobile working machines. However, the intensive operating cycle produces high heat losses in the Li-ion battery, which increase its operating temperature. The Li-ion battery operation at high temperatures accelerates the ageing of the battery, and in the worst case, may lead to a thermal runaway and fire. Therefore, an appropriate Li-ion battery cooling system should be provided for the temperature control in applications such as HEVs and mobile working machines. In this doctoral dissertation, methods are presented to set up a thermal model of a single Li-ion cell and a more complex battery module, which can be used if full information about the battery chemistry is not available. In addition, a non-destructive method is developed for the cell thermal characterization, which allows to measure the thermal parameters at different states of charge and in different points of cell surface. The proposed models and the cell thermal characterization method have been verified by experimental measurements. The minimization of high thermal non-uniformity, which was detected in the pouch cell during its operation with a high C-rate current, was analysed by applying a simplified pouch cell 3D thermal model. In the analysis, heat pipes were incorporated into the pouch cell cooling system, and an optimization algorithm was generated for the estimation of the optimalplacement of heat pipes in the pouch cell cooling system. An analysis of the application of heat pipes to the pouch cell cooling system shows that heat pipes significantly decrease the temperature non-uniformity on the cell surface, and therefore, heat pipes were recommended for the enhancement of the pouch cell cooling system.

The evolution of electricity demand and the role for demand side participation, in buildings and transport

This paper explores the possible evolution of UK electricity demand as we move along three potential transition pathways to a low carbon economy in 2050.The shift away from fossil fuels through the electrification of demand is discussed, particularly through the uptake of heat pumps and electric vehicles in the domestic and passenger transport sectors. Developments in the way people and institutions may use energy along each of the pathways are also considered and provide a rationale for the quantification of future annual electricity demands in various broad sectors. The paper then presents detailed modelling of hourly balancing of these demands in the context of potential low carbon generation mixes associated with the three pathways. In all cases, hourly balancing is shown to be a significant challenge. To minimise the need for conventional generation to operate with very low capacity factors, a variety of demand side participation measures are modelled and shown to provide significant benefits. Lastly, projections of greenhouse gas emissions from the UK and the imports of fossil fuels to the UK for each of the three pathways are presented.

Control methodologies: Peak reduction algorithms for DNO owned storage devices on the Low Voltage network

The Distribution Network Operators (DNOs) role is becoming more difficult as electric vehicles and electric heating penetrate the network, increasing the demand. As a result it becomes harder for the distribution networks infrastructure to remain within its operating constraints. Energy storage is a potential alternative to conventional network reinforcement such as upgrading cables and transformers. The research presented here in this paper shows that due to the volatile nature of the LV network, the control approach used for energy storage has a significant impact on performance. This paper presents and compares control methodologies for energy storage where the objective is to get the greatest possible peak demand reduction across the day from a pre-specified storage device. The results presented show the benefits and detriments of specific types of control on a storage device connected to a single phase of an LV network, using aggregated demand profiles based on real smart meter data from individual homes. The research demonstrates an important relationship between how predictable an aggregation is and the best control methodology required to achieve the objective.

Why your customers’ social identities matter

The article looks at the role of consumers' social identities in their purchasing decisions, and hence in the creation of effective marketing strategies. It says that people generally belong to multiple social groups, any one of which may have the most salience for them in a given situation. It reports on social psychology research on how a person's connection with a particular social identity can be triggered and discusses the idea in the context of marketing products including the Toyota Prius hybrid-electric automobile, Nescafé instant coffee, and the Jeep all-terrain vehicle. INSET: Lessons of the Stanford Prison Experiment.

The impact of location and type on the performance of Low-Voltage network connected Battery Energy Storage Systems

This paper assesses the impact of the location and configuration of Battery Energy Storage Systems (BESS) on Low-Voltage (LV) feeders. BESS are now being deployed on LV networks by Distribution Network Operators (DNOs) as an alternative to conventional reinforcement (e.g. upgrading cables and transformers) in response to increased electricity demand from new technologies such as electric vehicles. By storing energy during periods of low demand and then releasing that energy at times of high demand, the peak demand of a given LV substation on the grid can be reduced therefore mitigating or at least delaying the need for replacement and upgrade. However, existing research into this application of BESS tends to evaluate the aggregated impact of such systems at the substation level and does not systematically consider the impact of the location and configuration of BESS on the voltage profiles, losses and utilisation within a given feeder. In this paper, four configurations of BESS are considered: single-phase, unlinked three-phase, linked three-phase without storage for phase-balancing only, and linked three-phase with storage. These four configurations are then assessed based on models of two real LV networks. In each case, the impact of the BESS is systematically evaluated at every node in the LV network using Matlab linked with OpenDSS. The location and configuration of a BESS is shown to be critical when seeking the best overall network impact or when considering specific impacts on voltage, losses, or utilisation separately. Furthermore, the paper also demonstrates that phase-balancing without energy storage can provide much of the gains on unbalanced networks compared to systems with energy storage.

Estado da arte da obtenção de crédito de carbono via adoção de veículo elétrico

This paper aims to highlight the state of the art of obtaining carbon credits through the use of electric vehicles. This is one of the solutions to significantly reduce the emission of GHG (Greenhouse Gas) emissions in the case of CO 2, NOx, SOx, and CH 4 (thermochemical reactions arising from the combustion of gasoline with ethanol) in motor vehicles. For this quantitative study was done based on the survey of bibliographic data available and the development of basic calculations considering the car fleet of the Country of Brazil and the CO 2 emissions generated by the same. Thus explaining the considerable gain in air quality and reduction of vectors of greenhouse gases in the case of replacing the current fleet of vehicles combustion of hydrocarbon aliphatic chain, for an eco-efficient fleet consists of electric vehicles and/or hybrids.

Transmissão indutiva de energia eletromagnética sem fios, para aplicações em postos de abastecimento de veículos elétricos puros: modelação para o elemento eletromagnético

Pós-graduação em Engenharia Elétrica - FEIS