Sellutehtaan sekundäärilämmön käytön tehostaminen

Energia on olennainen osa nykyaikaisen sellutehtaan prosesseja, joissa kuluu suuria määriä lämpöä ja sähköä. Pyrittäessä entistä kustannustehokkaampaan liiketoimintaan nousee energiatehokkuus usein mielenkiinnon kohteeksi. Pitkälle viety sähkön ja lämmön yhteistuotanto yhdistettynä korkeaan biopolttoaineiden osuuteen energian tuotannossa luovat pohjan tälle pyrkimykselle. Sekundäärilämpöä syntyy prosessien sivutuotteena ja sen mahdollisimman suuri hyödyntäminen on yksi keino päästä kohti parempaa energiatehokkuutta. Joissain tapauksissa sillä voidaan korvata jopa primäärienergian käyttöä ja mahdollisesti pienentää ostopolttoaineiden tarvetta. Diplomityössä tutkitaan sellutehtaan sekundäärilämpöjärjestelmän toimintaa, ohjausta ja energiankulutusta. Sekundäärilämpöjärjestelmästä muodostetaan taseet talvitilanteessa ja samalla etsitään mahdollisia uusia talteenotettavia sekundäärilämpövirtoja tai vastaavasti käyttökohteita. Lisäksi päivitetään sekundäärilämpöjärjestelmän raportoinnin ja ohjauksen työkaluja nykytilannetta vastaavaksi. Työn aikana kiinnitetään myös huomiota järjestelmän toimintaan muutostilanteissa, joissa kaikkia vesijakeita ei välttämättä ole saatavilla prosessin tarvitsemia määriä.

Strategic Development of Electricity Distribution Networks – Concept and Methods

Strategic development of distribution networks plays a key role in the asset management in electricity distribution companies. Owing to the capital-intensive nature of the field and longspan operations of companies, the significance of a strategy is emphasised. A well-devised strategy combines awareness of challenges posed by the operating environment and the future targets of the distribution company. Economic regulation, ageing infrastructure, scarcity of resources and tightening supply requirements with challenges created by the climate change put a pressure on the strategy work. On the other hand, technology development related to network automation and underground cabling assists in answering these challenges. This dissertation aims at developing process knowledge and establishing a methodological framework by which key issues related to network development can be addressed. Moreover, the work develops tools by which the effects of changes in the operating environment on the distribution business can be analysed in the strategy work. To this end, the work discusses certain characteristics of the distribution business and describes the strategy process at a principle level. Further, the work defines the subtasks in the strategy process and presents the key elements in the strategy work and long-term network planning. The work delineates the factors having either a direct or indirect effect on strategic planning and development needs in the networks; in particular, outage costs constitute an important part of the economic regulation of the distribution business, reliability being thus a key driver in network planning. The dissertation describes the methodology and tools applied to cost and reliability analyses in the strategy work. The work focuses on determination of the techno-economic feasibility of different network development technologies; these feasibility surveys are linked to the economic regulation model of the distribution business, in particular from the viewpoint of reliability of electricity supply and allowed return. The work introduces the asset management system developed for research purposes and to support the strategy work, the calculation elements of the system and initial data used in the network analysis. The key elements of this asset management system are utilised in the dissertation. Finally, the study addresses the stages of strategic decision-making and compilation of investment strategies. Further, the work illustrates implementation of strategic planning in an actual distribution company environment.

Improving demand forecasting practices in the industrial context

Demand forecasting is one of the fundamental managerial tasks. Most companies do not know their future demands, so they have to make plans based on demand forecasts. The literature offers many methods and approaches for producing forecasts. When selecting the forecasting approach, companies need to estimate the benefits provided by particular methods, as well as the resources that applying the methods call for. Former literature points out that even though many forecasting methods are available, selecting a suitable approach and implementing and managing it is a complex cross-functional matter. However, research that focuses on the managerial side of forecasting is relatively rare. This thesis explores the managerial problems that are involved when demand forecasting methods are applied in a context where a company produces products for other manufacturing companies. Industrial companies have some characteristics that differ from consumer companies, e.g. typically a lower number of customers and closer relationships with customers than in consumer companies. The research questions of this thesis are: 1. What kind of challenges are there in organizing an adequate forecasting process in the industrial context? 2. What kind of tools of analysis can be utilized to support the improvement of the forecasting process? The main methodological approach in this study is design science, where the main objective is to develop tentative solutions to real-life problems. The research data has been collected from two organizations. Managerial problems in organizing demand forecasting can be found in four interlinked areas: 1. defining the operational environment for forecasting, 2. defining the forecasting methods, 3. defining the organizational responsibilities, and 4. defining the forecasting performance measurement process. In all these areas, examples of managerial problems are described, and approaches for mitigating these problems are outlined.

Managing regulatory risks when outsourcing network-related services in the electricity distribution sector

Deregulation of the electricity sector liberated the electricity sale and production for competitive forces while in the network business, electricity transmission and distribution, natural monopoly positions were recognised. Deregulation was accompanied by efficiencyoriented thinking on the whole electricity supply industry. For electricity distribution this meant a transition from a public service towards profit-driven business guided by economic regulation. Regulation is the primary means to enforce societal and other goals in the regulated monopoly sector. The design of economic regulation is concerned with two main attributes; end-customer price and quality of electricity distribution services. Regulation limits the costs of the regulated company but also defines the desired quality of monopoly services. The characteristics of the regulatory framework and the incentives it provides are therefore decisive for the electricity distribution sector. Regulation is not a static factor; changes in the regulatory practices cause discontinuity points, which in turn generate risks. A variety of social and environmental concerns together with technological advancements have emphasised the relevance of quality regulation, which is expected to lead to the large-scale replacement of overhead lines with underground cables. The electricity network construction activity is therefore currently witnessing revolutionary changes in its competitive landscape. In a business characterised by high statutory involvement and a high level of sunk costs, recognising and understanding the regulatory risks becomes a key success factor. As a response, electricity distribution companies have turned into outsourcing to attain efficiency and quality goals. This doctoral thesis addresses the impacts of regulatory risks on electricity network construction, which is a commonly outsourced activity in the electricity distribution network sector. The chosen research approach is characterised as an action analytical research on account of the fact that regulatory risks are greatly dependent on the individual nature of the regulatory regime applied in the electricity distribution sector. The main contribution of this doctoral thesis is to develop a concept for recognising and managing the business risks stemming from economic regulation. The degree of outsourcing in the sector is expected to increase in years to come. The results of the research provide new knowledge to manage the regulatory risks when outsourcing services.

Regime Switching Models for Electricity Time Series that Capture Fat Tailed Distributions

In the power market, electricity prices play an important role at the economic level. The behavior of a price trend usually known as a structural break may change over time in terms of its mean value, its volatility, or it may change for a period of time before reverting back to its original behavior or switching to another style of behavior, and the latter is typically termed a regime shift or regime switch. Our task in this thesis is to develop an electricity price time series model that captures fat tailed distributions which can explain this behavior and analyze it for better understanding. For NordPool data used, the obtained Markov Regime-Switching model operates on two regimes: regular and non-regular. Three criteria have been considered price difference criterion, capacity/flow difference criterion and spikes in Finland criterion. The suitability of GARCH modeling to simulate multi-regime modeling is also studied.

Technological and business challenges of smart grids

Growing recognition of the electricity grid modernization to enable new electricity generation and consumption schemes has found articulation in the vision of the Smart Grid platform. The essence of this vision is an autonomous network with two-way electricity power flows and extensive real-time information between the generation nodes, various electricity-dependent appliances and all points in-between. Three major components of the Smart Grids are distributed intelligence, communication technologies, and automated control systems. The aim of this thesis is to recognize the challenges that Smart Grids are facing, while extinguishing the main driving factors for their introduction. The scope of the thesis also covers possible place of electricity Aggregator Company in the current and future electricity markets. Basic functions of an aggregator and possible revenue sources along with demand response feasibility calculations are reviewed within this thesis.

A comparison of electricity spot prices simulation using ARMA-GARCH and mean-reverting models

The aim of this work is to compare two families of mathematical models for their respective capability to capture the statistical properties of real electricity spot market time series. The first model family is ARMA-GARCH models and the second model family is mean-reverting Ornstein-Uhlenbeck models. These two models have been applied to two price series of Nordic Nord Pool spot market for electricity namely to the System prices and to the DenmarkW prices. The parameters of both models were calibrated from the real time series. After carrying out simulation with optimal models from both families we conclude that neither ARMA-GARCH models, nor conventional mean-reverting Ornstein-Uhlenbeck models, even when calibrated optimally with real electricity spot market price or return series, capture the statistical characteristics of the real series. But in the case of less spiky behavior (System prices), the mean-reverting Ornstein-Uhlenbeck model could be seen to partially succeeded in this task.

Optimization of the power cable for low voltage direct current system

The demand for electricity is constantly growing in contemporary world and, in the same time, quality and reliability requirements are becoming more rigid. In addition, renewable sources of energy have been widely introduced for power generation, and they create specific challenges for the network. Consequently, new solution for distribution system is required, and Low Voltage Direct Current (LVDC) system is the proposed one. This thesis focuses on the investigation of specific cable features for low voltage direct current (LVDC) distribution system. The LVDC system is public ±750 VDC distribution system, which is currently being developed at Lappeen-ranta University of Technology. The aspects, considered in the thesis, are reliable and economic power transmission in distribution networks and possible power line communication in the LVDC cable.

Utilizing online demand generation in an engineering company

Työn tarkoituksena on selvittää miten sähköistä kysynnän herättämistä voidaan hyödyntää Mantsinen Group Ltd Oy:ssä siten, että sillä pystytään tukemaan myyntiä. Lisäksi sähköisen kysynnän herättämisen tehokkuutta tutkitaan, jotta saadaan selville onko se kannattavaa ja kuinka hyvin se sopii yritykselle. Kysynnän herättämisjärjestelmän käyttö on määritelty kirjallisuuteen perustuen ja sen jälkeen järjestelmän käyttö on aloitettu. Sähköisen kysynnän herättämisen tehokkuus mitataan kolmen kuukauden tarkastelujakson todellisella datalla. Sähköisen kysynnän herättämisen sopivuutta arvioidaan perustuen sen kustannustehokkuuteen ja tuloksiin. Työn tulokset osoittavat, että sähköinen kysynnän herättäminen on kannattavaa ja se sopii yritykselle. Sillä voidaan parhaiten tukea myyntiä järjestelmän tuottaessa laadukkaita myyntimahdollisuuksia tasaisena virtana myynnille. Myös aiemmin manuaalisesti tehtyjä työtehtäviä voidaan automatisoida ja näin vähentää myyjien työtaakkaa.

Analysis of electricity distribution network operation business models and capitalization of control room functions with DMS

Electricity distribution network operation (NO) models are challenged as they are expected to continue to undergo changes during the coming decades in the fairly developed and regulated Nordic electricity market. Network asset managers are to adapt to competitive technoeconomical business models regarding the operation of increasingly intelligent distribution networks. Factors driving the changes for new business models within network operation include: increased investments in distributed automation (DA), regulative frameworks for annual profit limits and quality through outage cost, increasing end-customer demands, climatic changes and increasing use of data system tools, such as Distribution Management System (DMS). The doctoral thesis addresses the questions a) whether there exist conditions and qualifications for competitive markets within electricity distribution network operation and b) if so, identification of limitations and required business mechanisms. This doctoral thesis aims to provide an analytical business framework, primarily for electric utilities, for evaluation and development purposes of dedicated network operation models to meet future market dynamics within network operation. In the thesis, the generic build-up of a business model has been addressed through the use of the strategicbusiness hierarchy levels of mission, vision and strategy for definition of the strategic direction of the business followed by the planning, management and process execution levels of enterprisestrategy execution. Research questions within electricity distribution network operation are addressed at the specified hierarchy levels. The results of the research represent interdisciplinary findings in the areas of electrical engineering and production economics. The main scientific contributions include further development of the extended transaction cost economics (TCE) for government decisions within electricity networks and validation of the usability of the methodology for the electricity distribution industry. Moreover, DMS benefit evaluations in the thesis based on the outage cost calculations propose theoretical maximum benefits of DMS applications equalling roughly 25% of the annual outage costs and 10% of the respective operative costs in the case electric utility. Hence, the annual measurable theoretical benefits from the use of DMS applications are considerable. The theoretical results in the thesis are generally validated by surveys and questionnaires.

Liiketoimintamalli teollisuuden ylijäämälämmön hyödyntämisestä kaukolämpöverkoissa

Tässä työssä tarkastellaan teollisuuden ylijäämälämmön hyödyntämistä kaukolämpöverkoissa liiketoimintamallin näkökulmasta. Työn tilaaja on YIT Teollisuus Oy, joka haluaa osaltaan olla mukana ratkaisemassa ilmastonmuutoksesta ja hiilidioksidipäästöjen vähentämistarpeista aiheutuvia yhteiskunnan kehitystarpeita. Energiatehokkuuden parantaminen on yksi nopeimmista keinoista vähentää päästöjä. Teollisuuden energiatehokkuutta voidaan parantaa ottamalla talteen sähköntuotannossa ja tuotantoprosesseissa syntyvää ylijäämälämpöä. Aikaisempien tutkimusten perusteella tiedetään, että Suomessa syntyy vuosittain noin 4–6 TWh ylijäämälämpöä, joka voitaisiin hyödyntää jo olemassa olevien kaukolämpöverkkojen välityksellä rakennusten lämmittämiseen. Kuitenkin vuonna 2008 teollisuus myi ylijäämälämpöä kaukolämpöverkkoihin yhteensä vain 770 GWh, mikä vastaa noin 2,5 prosenttia kokonaiskaukolämmön tarpeesta. Tämän työn tuloksena syntyi liiketoimintamalli, joka esittelee ne palvelut, jotka YIT tuottaa asiakkailleen tilanteissa, joissa teollisuudessa syntyvää ylijäämälämpöä hyödynnetään kaukolämpöverkoissa. Jotta liiketoimintamalli toimisi käytännössä, on siitä oltava hyötyä kaikille osapuolille. Asiakkaan on siis voitava kattaa palvelusta ja sen rahoituksesta syntyvät kustannukset myydyn ylijäämälämmön tuotolla (teollisuuslaitos) tai säästyneistä energian hankintakustannuksista (kaukolämpöyhtiö). Eniten ylijäämälämmön käytöstä voivat hyötyä kaukolämpöyhtiöt, joiden tuotannosta korkeintaan pieni osa tulee yhteistuotannosta ja joilla uusiutuvien energialähteiden osuus on vähäinen. Lisäksi kaukolämpöverkon koon vuotuisena kulutuksena mitattuna on oltava riittävän suuri ja kaukolämmön hinnan suhteellisen korkea. Myös alueen ennustettu väestönkasvu ja uudet suunnitteilla olevat asuinalueet saattavat parantaa ylijäämälämmön hyödyntämisen houkuttelevuutta. YIT:n näkökulmasta ylijäämälämmön talteenottoprojektit ovat hyvä lisä sen nykyiseen palvelutarjontaan. Myös yhteiskunnallisella tasolla aihe on merkittävä. Vaikka nykytietämyksen mukaan energian käytön tehostaminen ja päästöttömän tuotannon lisääminen ovat molemmat yhtä merkittäviä keinoja ilmastotavoitteiden saavuttamisen kannalta, panostetaan Suomessa tällä hetkellä lähinnä tuotannon tukemiseen. Lähivuosien poliittiset ratkaisut vaikuttavatkin vahvasti siihen, kuinka paljon tulevaisuudessa ylijäämälämpöä hyödynnetään rakennusten lämmittämisessä.

Energiantuotantovaihtoehtojen vertailu, Jousenpuiston uusi asuinalue

Tämän diplomityön tavoitteena oli vertailla paikallisia energiantuotantovaihtoehtoja eri-tyisesti lämmöntuotantoon painottuen. Tarkastelu sovitettiin uuden matalaenergiarakentamista vastaavan kerrostaloasuinalueen tarpeisiin. Näkökulmana olivat sekä taloudellisuus että hiilidioksidipäästöt. Yksityiskohtaisemman tarkastelun kohteena olivat maalämpö, alueellinen biolämpölaitos sekö alueellinen pien-CHP-laitos. Perusvaihtoehtona tutkittiin kaukolämpöä. Kaikkiin vaihtoehtoihin kuului myös kapasiteetiltaan rajoitettu jäähdytys. Tulosten mukaan kokonaistaloudellisin vaihtoehto oli maalämpö yhdistettynä kaukolämpöön. Tässä vaihtoehdossa peruslämpö tuotetaan maalämmöllä, mutta huippu-lämpöön sekä käyttöveden lämmitykseen käytetään kaukolämpöä. Ratkaisulla saadaan aikaan myös päästövähennyksiä kaukolämpöön verrattuna. Tulosten mukaan pienimmät päästöt olivat pien-CHP-biovoimalaitoksella. Toisaalta nykyisillä sähkön myyntihinnoilla pienimuotoinen yhdistetty sähkön ja lämmön tuotanto ei pysty kilpailemaan kustannusrakenteensa puolesta muiden tutkittujen vaihtoehtojen kanssa.

Seeder-fertilizer machine: energetic demand as a function of vegetal covering handling and manure deposition shank depth in no-tillage system

The purpose of this work was evaluating the energetic demand of a seeder-fertilizer machine as a function of the type and handling of vegetal covering culture and of the fertilizer deposition shank depth. A Valtra BM100 tractor was used implemented to pull a high precision seeder-fertilizer machine with four ranks of seeding, spaced 0.9 m for maize culture. Experiment was conducted with design in randomized blocks in factorial plots, in the Laboratory of Machines and Agricultural Mechanization experimental area (LAMMA) of UNESP-Jaboticabal, using two covering cultures (black-mucuna and crotalaria), three handlings of this covering, two mechanical (straw crusher and roller knife) and one chemical (pulverization of herbicide), performed 120 days after seeding of covering cultures and three depths of fertilizer deposition shank, completing 18 treatments, with four repetitions, totaling 72 observations. Parameters of displacement speed, gliding, force on traction bar, peak force, power on pulling bar and fuel consumption were evaluated. It was possible to conclude that force on traction bar was less for depths of 0.11 and 0.14 m of fertilizer plough shank, the same occurring for peak force, power on traction bar and volumetric consumption. The specific consumption was lower at a depth of 0.17 m of fertilizer plough shank. Covering cultures and their handlings did not interfere in the performance of machines under inquiry.