6 resultados para intra-day data

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Paperiteollisuus on energiaintensiivistä teollisuutta, jossa on tehty pitkään työtä tuotantoprosessien energiatehokkuuden parantamiseksi. Paperitehtaan energiakustannuksiin voidaan kuitenkin vaikuttaa myös sähkötaseen hallinnalla ja sähkön kysyntäjouston avulla. Tehtaan seuraavan vuorokauden sähkön kulutus pyritään ennustamaan mahdollisimman tarkasti, mutta esimerkiksi paperitehtaan häiriötilanteissa sähkötase poikkeaa ennustetusta. Tällöin sähkötasetta voidaan korjata ensisijaisesti sähkön jälkimarkkinoiden eli Elbas- kaupankäynnin avulla. Ellei tasetta saada korjattua sähkön jälkimarkkinoilla tase-ero korjataan tasesähköllä, jonka hinta muodostuu säätösähkömarkkinoilla. Tasesähkön hinta saattaa poiketa Elspot- markkinahinnasta voimakkaasti, jolloin tase-erosta joko hyödytään tai hävitään kustannusmielessä. Tämän työn tarkoituksena on selvittää sähkötasehallinnan parantamisen ja sähkön kysyntäjouston vaikutukset paperitehtaan energiakustannuksiin. Työssä tutkittiin tehtaan sähkö-tasehallinnan nykytilannetta ja selvitettiin tase-erojen kustannusvaikuttavuutta. Lisäksi työssä luotiin ajomalleja sähkön kysyntäjouston toteuttamiselle massatehtaan eri tuotantoprosesseille, sekä määritettiin rajahintoja seuraavan vuorokauden energiaennusteeseen. Onnistunut energiaennuste perustuu paperitehtaan käynnin tarkkoihin ja ajankohtaisiin lähtötietoihin. Sähkötaseen poikkeamiin voidaan puolestaan varautua paremmin, kun informaatio tehtaan prosessien alasajosta tulee voimalaitoksen tietoon mahdollisimman aikaisin. Sähkötaseen poikkeamien hallinta voidaan tehdä, joko Elbas- kaupan tai tasesähkön avulla. Ajankohdasta ja tasepoikkeaman volyymista riippuen täytyy tehdä valinta, kumpi vaihtoehdoista on kustannusmielessä kannattavampi. Paperitehtaan eri prosesseille luoduilla ajomalleilla saatiin esiin huomattava säästöpotentiaali. Ajomallien noudattaminen vaatii suunnitelmallista tuotannon hallintaa ja sähkön Elspot- hinnan käyttäytymisen säännöllistä seurantaa. Seuraavan vuorokauden rajahintatietojen määrittämisen pohjalta voidaan arvioida, millä Elspot- hinnalla sähkön myynti muuttuu paperin tuotantoa kannattavammaksi.

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Liberalization of electricity markets has resulted in a competed Nordic electricity market, in which electricity retailers play a key role as electricity suppliers, market intermediaries, and service providers. Although these roles may remain unchanged in the near future, the retailers’ operation may change fundamentally as a result of the emerging smart grid environment. Especially the increasing amount of distributed energy resources (DER), and improving opportunities for their control, are reshaping the operating environment of the retailers. This requires that the retailers’ operation models are developed to match the operating environment, in which the active use of DER plays a major role. Electricity retailers have a clientele, and they operate actively in the electricity markets, which makes them a natural market party to offer new services for end-users aiming at an efficient and market-based use of DER. From the retailer’s point of view, the active use of DER can provide means to adapt the operation to meet the challenges posed by the smart grid environment, and to pursue the ultimate objective of the retailer, which is to maximize the profit of operation. This doctoral dissertation introduces a methodology for the comprehensive use of DER in an electricity retailer’s short-term profit optimization that covers operation in a variety of marketplaces including day-ahead, intra-day, and reserve markets. The analysis results provide data of the key profit-making opportunities and the risks associated with different types of DER use. Therefore, the methodology may serve as an efficient tool for an experienced operator in the planning of the optimal market-based DER use. The key contributions of this doctoral dissertation lie in the analysis and development of the model that allows the retailer to benefit from profit-making opportunities brought by the use of DER in different marketplaces, but also to manage the major risks involved in the active use of DER. In addition, the dissertation introduces an analysis of the economic potential of DER control actions in different marketplaces including the day-ahead Elspot market, balancing power market, and the hourly market of Frequency Containment Reserve for Disturbances (FCR-D).

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The purpose of the thesis was to explore expectations of elderly people on the nurse-client relationship and interaction in home care. The aim is to improve the quality of care to better meet the needs of the clients. A qualitative approach was adopted. Semi-structured theme interviews were used for data collection. The interviews were conducted during spring 2006. Six elderly clients of a private home care company in Southern Finland acted as informants. Content analysis was used as the method of data analysis. The findings suggest that clients expect nurses to provide professional care with loving-kindness. Trust and mutual, active interaction were expected from the nurse-client relationship. Clients considered it important that the nurse recognizes each client's individual needs. The nurse was expected to perform duties efficiently, but in a calm and unrushed manner. A mechanic performance of tasks was considered negative. Humanity was viewed as a crucial element in the nurse-client relationship. Clients expressed their need to be seen as human beings. Seeing beyond the illness was considered important. A smiling nurse was described to be able to alleviate pain and anxiety. Clients hoped to have a close relationship with the nurse. The development of a close relationship was considered to be more likely if the nurse is familiar and genuine. Clients wish the nurses to have a more attending presence. Clients suggested that the work areas of the nurses could be limited so that they would have more time to transfer from one place to another. Clients felt that they would benefit from this as well. The nurses were expected to be more considerate. Clients wished for more information regarding changes that affect their care. They wished to be informed about changes in schedules and plans. Clients hoped for continuity from the nurse-client relationship. Considering the expectations of clients promotes client satisfaction. Home care providers have an opportunity to reflect their own care behaviour on the findings. To better meet the needs of the clients, nurses could apply the concept of loving-kindness in their work, and strive for a more attending presence.

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The ability of a multinational company to effectively transfer knowledge from one unit to another can create a great source of competitive advantage and is crucial for long-term success. However, in their attempts to disseminate existent knowledge across national boundaries, organizations encounter several obstacles. Especially challenging is the transfer of tacit knowledge, the most valuable kind, as it is embedded in the minds and the behavior of people. The purpose of this study is to identify the main factors and challenges to be considered in intra-organizational knowledge transfer and consequently develop a framework that could be utilized to improve the process. The research is of qualitative nature and it adopts an exploratory approach. The study was further conducted as an intensive single-case study through studying a Finnish multinational company, and the researcher adopted a role as a participant observant in the research setting. Other data collection methods include semi-structured interviews and an online survey. The research findings show that knowledge transfer is currently challenging within the international sales organization of the case company. The majority of knowledge is currently concentrated in the company headquarters, and it is not always systematically distributed to the regional offices abroad. The main factor affecting knowledge transfer seems to be the organizational culture, which does not support or encourage knowledge sharing. The company is struggling in having a common place for information and employees that lack proper social networks have difficulties accessing relevant knowledge. Some recommended improvement suggestions include the institutionalization of knowledge transfer by turning it into an articulated organizational goal, and the implementation of a reward system that includes soft factors, such as teamwork and knowledge sharing behavior. Furthermore, the organizational culture should be more open and supportive in order to reinforce trust. Individuals in regional offices should be given better support by offering them dedicated mentors and increasing the amount of expatriation. Finally, knowledge should actively be codified and stored in commonly shared platforms where it is easily accessible by all employees.

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This thesis introduces heat demand forecasting models which are generated by using data mining algorithms. The forecast spans one full day and this forecast can be used in regulating heat consumption of buildings. For training the data mining models, two years of heat consumption data from a case building and weather measurement data from Finnish Meteorological Institute are used. The thesis utilizes Microsoft SQL Server Analysis Services data mining tools in generating the data mining models and CRISP-DM process framework to implement the research. Results show that the built models can predict heat demand at best with mean average percentage errors of 3.8% for 24-h profile and 5.9% for full day. A deployment model for integrating the generated data mining models into an existing building energy management system is also discussed.

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The purpose of the study was to explore how a public, IT services transferor, organization, comprised of autonomous entities, can effectively develop and organize its data center cost recovery mechanisms in a fair manner. The lack of a well-defined model for charges and a cost recovery scheme could cause various problems. For example one entity may be subsidizing the costs of another entity(s). Transfer pricing is in the best interest of each autonomous entity in a CCA. While transfer pricing plays a pivotal role in the price settings of services and intangible assets, TCE focuses on the arrangement at the boundary between entities. TCE is concerned with the costs, autonomy, and cooperation issues of an organization. The theory is concern with the factors that influence intra-firm transaction costs and attempting to manifest the problems involved in the determination of the charges or prices of the transactions. This study was carried out, as a single case study, in a public organization. The organization intended to transfer the IT services of its own affiliated public entities and was in the process of establishing a municipal-joint data center. Nine semi-structured interviews, including two pilot interviews, were conducted with the experts and managers of the case company and its affiliating entities. The purpose of these interviews was to explore the charging and pricing issues of the intra-firm transactions. In order to process and summarize the findings, this study employed qualitative techniques with the multiple methods of data collection. The study, by reviewing the TCE theory and a sample of transfer pricing literature, created an IT services pricing framework as a conceptual tool for illustrating the structure of transferring costs. Antecedents and consequences of the transfer price based on TCE were developed. An explanatory fair charging model was eventually developed and suggested. The findings of the study suggested that the Chargeback system was inappropriate scheme for an organization with affiliated autonomous entities. The main contribution of the study was the application of TP methodologies in the public sphere with no tax issues consideration.