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Øvrebotten Kristian - One of the best experts on this subject based on the ideXlab platform.
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Analyse av endringar i effektforbruket hos hushald med panelomnar og vedfyring ved installasjon av ulike typar varmepumper. Analyse av endringar i effektforbruket hos hushald med panelomnar og vedfyring ved installasjon av ulike typar varmepumper
Norwegian University of Life Science Ås, 2015Co-Authors: Øvrebotten KristianAbstract:Sidan oljekrisa på 1970-talet som førte til ein gradvis overgang frå bruk av oljekjelar og parafinkaminar til panelomnar og varmepumper, har andelen elektrisitet stadig auka mens andelen av olje har vore redusert. Andelen av elektrisitet hos hushalda utgjer i dag om lag 79 % av den samla energibruken hos hushalda i Noreg. Dette høge forbruket av elektrisitet hos hushalda bidreg til å skape problem med høge effekttoppar i kraftnettet som igjen skapar problem for kraftdistributørar og er med på å forme dimensjoneringa av distribusjons- og transmisjonsnett Eit av tiltaka for å redusere energibruken i bygningar er å erstatte mindre effektive oppvarmingssystem som til dømes bruk av panelomnar med eit meir energieffektivt system slik som til dømes ei varmepumpe. Tiltak som reduserer energiforbruket til oppvarming vil også kunne dempe høge effekttoppar både på kalde dagar og på dagar i andre delar av året. Spørsmålet er korleis varmepumper vil kunne påverke effektforbruket til hushald. Oppgåva forsøkjer å svare på dette ved å analysere teoretiske installasjonar av to ulike typar varmepumper som skal dekkje grunnlast i to ulike typar hushald som har ulike oppvarmingssystem, for å sjå korleis effektforbruket over døgnet blir å endre seg ved bruk av varmepumpe. Dei to ulike typane varmepumpe som har vore brukt i oppgåva er luft-luft varmepumpe og luft-vatn varmepumpe, der luft-luft varmepumpene har dekkja forbruket til oppvarming av rom og luft-vatn varmepumpene har vore brukt til å dekkje forbruket til oppvarming av rom og tappevatn. I oppgåva har det vore brukt faktiske effektforbruksmålingar frå hushald i kundenettet til Skagerak Nett. Til saman har effektforbruket til åtte hushald vore analysert der to av hushalda brukte berre panelomnar til oppvarming mens seks hushald brukte vedfyring i tillegg til panelomnar. I lag med målingane er det brukt teoretiske føremålsfordelingar mellom energiføremåla oppvarming av rom, oppvarming av tappevatn, elspesifikk energibruk og lyssetjing til å bestemme effektforbruket til hushalda. Resultata frå analysen syner at differansen mellom effektforbruket før og etter installasjon av varmepumpe blir størst ved bruk av luft-vatn varmepumpe. Samanlikna med det gamle oppvarmingssystemet blir effektforbruket redusert over heile døgnet. Den største differansen mellom før og etter installasjon av varmepumpe er om morgonen når bebuarane står opp og det totale effektforbruket er høgst. Differansen er deretter nest størst om ettermiddagen og kvelden, når forbruket stig ettersom bebuarane kjem heim frå skule og/eller arbeid. Det er ikkje teke omsyn til påverknadar på effektforbruket som følgje av bruk av vedfyring og det er ikkje undersøkt kva verknadar som følgje av rebound-effektar eller av forbruk til kjøling om sommaren vil ha å sei for effektforbruket til hushalda. Resultata frå denne oppgåva kan brukast som utgangspunkt for vidare arbeid eller som grunnlag for liknande oppgåver eller analysar. Abstract Since the oil crisis in the 1970s, which lead to a gradual shift from oil-fired boilers and kerosene stoves to use of electric heaters and heat pumps, the proportion of electricity has steadily increased while the share of oil have been reduced. Today the share of electricity in households constitute approximately 79 % of the total energy use in households in Norway. This high consumption of electricity in households contribute to create problems with high power peaks in the power grid, which in turn creates problems for power suppliers, and makes an impact on the size of the supply and the transmission Networks. One of the measures to reduce energy use in buildings is to replace less efficient heating systems such as the use of electric heaters with a more energy efficient system such as for example a heat pump. Measures that reduce energy consumption for heating will also curb high power peaks on both cold days and on days in the rest of the year. The question is how heat pumps could affect the power consumption of households. This thesis attempts to answer this by analyzing two theoretical systems consisting of two different types of heat pumps to cover base load in two different types of households that have different heating systems, in order to see how the power consumption changes with the use of heat pumps. There are two different types of heat pumps used in the thesis, which are air-air heat pumps and air-water heat pumps, where air-air heat pumps have covered the consumption for heating rooms and air-water heat pumps used to cover consumption for heating rooms and hot tap water. It has been used actual power measurements from households in the Customer Network to Skagerak Nett. Together, the power consumption of eight households have been analyzed, where two of them only used electric radiators for heating and the last six households used fuelwood in addition to electric heaters. Together with the measurements, it has been used theoretical purpose distributions between the different energy purposes: Heating of rooms, hot tap water, electric energy use and lighting in order to determine the power consumption of the households. Results of the analysis suggests that the difference between the power consumption before and after the installation of the heat pump is greatest using air-water heat pump. Compared with the old heating system, the power consumption with the heat pumps installed becomes reduced throughout the day. The biggest difference between the power consumption before and after the installation of the heat pump is in the morning when the residents gets out of bed 5 and the total power consumption is at its highest. The difference is second largest in the afternoon and the evening when the consumption rises as residents come home from school and/or work. This thesis no not take into account the impacts on power consumption due to the use of fuelwood and it is not examined what effects as a result of rebound effects or consumption for cooling in summer will have on power consumption of households. The results of this thesis may be used as a basis for future work or as a basis for similar projects.M-FORN
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Varmepumper i hushald. Analyse av endringar i effektforbruket hos hushald med panelomnar og vedfyring ved installasjon av ulike typar varmepumper
Norwegian University of Life Science Ås, 2015Co-Authors: Øvrebotten KristianAbstract:Sidan oljekrisa på 1970-talet som førte til ein gradvis overgang frå bruk av oljekjelar og parafinkaminar til panelomnar og varmepumper, har andelen elektrisitet stadig auka mens andelen av olje har vore redusert. Andelen av elektrisitet hos hushalda utgjer i dag om lag 79 % av den samla energibruken hos hushalda i Noreg. Dette høge forbruket av elektrisitet hos hushalda bidreg til å skape problem med høge effekttoppar i kraftnettet som igjen skapar problem for kraftdistributørar og er med på å forme dimensjoneringa av distribusjons- og transmisjonsnett Eit av tiltaka for å redusere energibruken i bygningar er å erstatte mindre effektive oppvarmingssystem som til dømes bruk av panelomnar med eit meir energieffektivt system slik som til dømes ei varmepumpe. Tiltak som reduserer energiforbruket til oppvarming vil også kunne dempe høge effekttoppar både på kalde dagar og på dagar i andre delar av året. Spørsmålet er korleis varmepumper vil kunne påverke effektforbruket til hushald. Oppgåva forsøkjer å svare på dette ved å analysere teoretiske installasjonar av to ulike typar varmepumper som skal dekkje grunnlast i to ulike typar hushald som har ulike oppvarmingssystem, for å sjå korleis effektforbruket over døgnet blir å endre seg ved bruk av varmepumpe. Dei to ulike typane varmepumpe som har vore brukt i oppgåva er luft-luft varmepumpe og luft-vatn varmepumpe, der luft-luft varmepumpene har dekkja forbruket til oppvarming av rom og luft-vatn varmepumpene har vore brukt til å dekkje forbruket til oppvarming av rom og tappevatn. I oppgåva har det vore brukt faktiske effektforbruksmålingar frå hushald i kundenettet til Skagerak Nett. Til saman har effektforbruket til åtte hushald vore analysert der to av hushalda brukte berre panelomnar til oppvarming mens seks hushald brukte vedfyring i tillegg til panelomnar. I lag med målingane er det brukt teoretiske føremålsfordelingar mellom energiføremåla oppvarming av rom, oppvarming av tappevatn, elspesifikk energibruk og lyssetjing til å bestemme effektforbruket til hushalda. Resultata frå analysen syner at differansen mellom effektforbruket før og etter installasjon av varmepumpe blir størst ved bruk av luft-vatn varmepumpe. Samanlikna med det gamle oppvarmingssystemet blir effektforbruket redusert over heile døgnet. Den største differansen mellom før og etter installasjon av varmepumpe er om morgonen når bebuarane står opp og det totale effektforbruket er høgst. Differansen er deretter nest størst om ettermiddagen og kvelden, når forbruket stig ettersom bebuarane kjem heim frå skule og/eller arbeid. Det er ikkje teke omsyn til påverknadar på effektforbruket som følgje av bruk av vedfyring og det er ikkje undersøkt kva verknadar som følgje av rebound-effektar eller av forbruk til kjøling om sommaren vil ha å sei for effektforbruket til hushalda. Resultata frå denne oppgåva kan brukast som utgangspunkt for vidare arbeid eller som grunnlag for liknande oppgåver eller analysar. Abstract Since the oil crisis in the 1970s, which lead to a gradual shift from oil-fired boilers and kerosene stoves to use of electric heaters and heat pumps, the proportion of electricity has steadily increased while the share of oil have been reduced. Today the share of electricity in households constitute approximately 79 % of the total energy use in households in Norway. This high consumption of electricity in households contribute to create problems with high power peaks in the power grid, which in turn creates problems for power suppliers, and makes an impact on the size of the supply and the transmission Networks. One of the measures to reduce energy use in buildings is to replace less efficient heating systems such as the use of electric heaters with a more energy efficient system such as for example a heat pump. Measures that reduce energy consumption for heating will also curb high power peaks on both cold days and on days in the rest of the year. The question is how heat pumps could affect the power consumption of households. This thesis attempts to answer this by analyzing two theoretical systems consisting of two different types of heat pumps to cover base load in two different types of households that have different heating systems, in order to see how the power consumption changes with the use of heat pumps. There are two different types of heat pumps used in the thesis, which are air-air heat pumps and air-water heat pumps, where air-air heat pumps have covered the consumption for heating rooms and air-water heat pumps used to cover consumption for heating rooms and hot tap water. It has been used actual power measurements from households in the Customer Network to Skagerak Nett. Together, the power consumption of eight households have been analyzed, where two of them only used electric radiators for heating and the last six households used fuelwood in addition to electric heaters. Together with the measurements, it has been used theoretical purpose distributions between the different energy purposes: Heating of rooms, hot tap water, electric energy use and lighting in order to determine the power consumption of the households. Results of the analysis suggests that the difference between the power consumption before and after the installation of the heat pump is greatest using air-water heat pump. Compared with the old heating system, the power consumption with the heat pumps installed becomes reduced throughout the day. The biggest difference between the power consumption before and after the installation of the heat pump is in the morning when the residents gets out of bed 5 and the total power consumption is at its highest. The difference is second largest in the afternoon and the evening when the consumption rises as residents come home from school and/or work. This thesis no not take into account the impacts on power consumption due to the use of fuelwood and it is not examined what effects as a result of rebound effects or consumption for cooling in summer will have on power consumption of households. The results of this thesis may be used as a basis for future work or as a basis for similar projects
Abie Reifer - One of the best experts on this subject based on the ideXlab platform.
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Using Information to Develop a Culture of Customer Centricity: Customer Centricity, Analytics, and Information Utilization
2013Co-Authors: David Loshin, Abie ReiferAbstract:Using Information to Develop a Culture of Customer Centricity sets the stage for understanding the holistic marriage of information, socialization, and process change necessary for transitioning an organization to Customer centricity. The book begins with an overview list of 8-10 precepts associated with a business-focused view of the knowledge necessary for developing Customer-oriented business processes that lead to excellent Customer experiences resulting in increased revenues. Each chapter delves into each precept in more detail. Table of Contents Introduction: Describes the precepts at a high level and introduce the intent of the book. Who is a Customer? Everyone!: This chapter dispenses with the nonsense associated with trying to coalesce de facto concepts under a single name and instead provide a re-boot definition as a paradigm shift in terms of business-process Customer orientation. The Customer Network and Sphere of Influence: This chapter contemplates the interconnectedness of individuals, households, and other hierarchical groupings that influence decisions about doing business with your company. Making Customer Centricity Pervasive in the Company: Discusses why changes to the IT infrastructure for managing Customer data are insufficient to change the way the company works. The changes have to pervade the way people work with the data in the context of the business interaction, and the Customer experience depends on these changes. You are the Brand: Every interaction and touch point between someone in the organization and anyone outside the organization contributes to the brand perception. The quality of each interaction is incorporated into the brand, and with more social Network interactions exposing Customer opinion, this will only increase. Listen to the Voice of the Customer: Considers how every Customer touch point is an opportunity for engagement, and that the combination of information and analytics will help in addressing Customer issues in an optimal way. Engage, Engage, Engage: The preponderance of channels for communication not only complicates tracking Customer centricity, it confuses the Customer base and makes it difficult to hear what they are saying. This chapter discusses the need to unify the methods by which Customers communicate with the organization. Increased Revenues: These three chapters talk about optimizing business processes for creating value. This chapter talks about increased revenues. Decreased Costs: This one looks at decreasing costs. Protection of Brand: Discusses exposure to the brand and how Customer engagement and improved experience can work in the company's favor. Analysis, Information, Process: This chapter ties it all together to suggest required changes to the existing way of doing things combines analysis with good information and process change. This is a summary but these topics are then covered in the next 3 books.
Young U Ryu - One of the best experts on this subject based on the ideXlab platform.
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personalized recommendation over a Customer Network for ubiquitous shopping
IEEE Transactions on Services Computing, 2009Co-Authors: Hyea Kyeong Kim, Jae Kyeong Kim, Young U RyuAbstract:Personalization services in a ubiquitous computing environment-ubiquitous personalization services computing-are expected to emerge in diverse environments. Ubiquitous personalization must address limited computational power of personal devices and potential privacy issues. Such characteristics require managing and maintaining a client-side recommendation model for ubiquitous personalization. To implement the client-side recommendation model, this paper proposes buying-net, a Customer Network in ubiquitous shopping spaces. Buying-net is operated in a community, called the buying-net space, of devices, Customers, and services that cooperate together to achieve common goals. The Customers connect to the buying-net space using their own devices that contain software performing tasks of learning the Customers' preferences, searching for similar Customers for Network formation, and generating recommendation lists of items. Buying-net attempts to improve recommendation accuracy with less computational time by focusing on local relationship of Customers and newly obtained information. We experimented with such Customer Networks in the area of multimedia content recommendation and validated that buying-net outperformed a typical collaborative-filtering-based recommender system on accuracy as well as computational time. This shows that buying-net has good potential to be a system for ubiquitous shopping.
Kristoffersen Kasper - One of the best experts on this subject based on the ideXlab platform.
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Reccoon: automated framework for external Network footprinting
2014Co-Authors: Johnsen, Jan William, Kristoffersen KasperAbstract:NORSK: Under utføringen av penetrasjonstester er det viktig å begynne hele testen med å hente inn informasjon om kunden og deres nettverk. Dessverre er denne informasjonsinnhentingen en prosess som ofte blir nedprioritert. En dårlig utført informasjonsinnhenting kan føre til en mindre angrepsflate for sikkerhetskonsulentene som utfører penetrasjonstesten. I verste fall kan dette føre til at svakheter hos kunden ikke blir oppdaget. Reccoon er en prototype av en rammeverk som er utviklet for å hjelpe sikkerhetskonsulentene med denne initielle fasen av penetrasjonstestene. Dette gjøres ved at rammeverket automatiserer prosessene i en external Network footprinting, som er en modell for teknisk informasjonsinnhenting. Prosjektgruppen har (etter veiledning fra Penetration Testing Execution Standard) analysert hvilken informasjon som burde hentes fra kundens nettverk under en slik operasjon, og hvilke verktøy som er best egnet for å hente nettopp denne informasjonen. Rammeverket er utviklet for Kali Linux. Kali Linux er et operativsystem som er spesialtilpasset for penetrasjonstesting og digital etterforskning, og alle modulene i rammeverket benytter seg av verktøy som er inkludert i standard-bibliotekene til dette operativsystemet. I tillegg til å utføre operasjonene som henter inn selve informasjonen så fungerer Reccoon også som et rapporteringsverktøy. Sikkerhetskonsulentene har mulighet til å legge til og redigere objekter i rammeverket, og eksportere resultatene til en oversiktelig HTML-rapport. Dette legger en god grunnmur for de senere fasene av penetrasjonstesten.ENGLISH: Short description of the main project: During the execution of penetration tests it’s important to start the test itself by gathering information about the Customer and their Network. Unfortunately, the information gathering process tend to get discouraged. A poorly executed information gathering process may cause the security consultants to overlook points of interest in the targeted Network. In a worst case scenario this may lead to vulnerabilities not beeing identified. Reccoon is a prototype of a framework developed to assist the security consultants during this initial phase of the penetration test. This is done by automating the processes of an external Network footprinting, which is a model for technical information gathering. The project group has (under the guideance of the Penetration Testing Execution Standard) analyzed what information should be extracted from the Network during an operation such as this, and also what tools that are most eligible for this task. The framework is developed for usage in Kali Linux. Kali Linux is an operating system tailored to fit penetration testing and digital forensics operations. The framework’s modules utilizes tools included in the operating system’s standard libraries. In addition to manage the operations used to extract the information from the Customer Network, Reccoon serves as a reporting tool. The security consultants have the possibility to add and edit objects inn the framework, and export the results to a comprehensible HTML-report. This alltogether lays the foundations for the subsequent phases of the penetration test
David Loshin - One of the best experts on this subject based on the ideXlab platform.
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Using Information to Develop a Culture of Customer Centricity: Customer Centricity, Analytics, and Information Utilization
2013Co-Authors: David Loshin, Abie ReiferAbstract:Using Information to Develop a Culture of Customer Centricity sets the stage for understanding the holistic marriage of information, socialization, and process change necessary for transitioning an organization to Customer centricity. The book begins with an overview list of 8-10 precepts associated with a business-focused view of the knowledge necessary for developing Customer-oriented business processes that lead to excellent Customer experiences resulting in increased revenues. Each chapter delves into each precept in more detail. Table of Contents Introduction: Describes the precepts at a high level and introduce the intent of the book. Who is a Customer? Everyone!: This chapter dispenses with the nonsense associated with trying to coalesce de facto concepts under a single name and instead provide a re-boot definition as a paradigm shift in terms of business-process Customer orientation. The Customer Network and Sphere of Influence: This chapter contemplates the interconnectedness of individuals, households, and other hierarchical groupings that influence decisions about doing business with your company. Making Customer Centricity Pervasive in the Company: Discusses why changes to the IT infrastructure for managing Customer data are insufficient to change the way the company works. The changes have to pervade the way people work with the data in the context of the business interaction, and the Customer experience depends on these changes. You are the Brand: Every interaction and touch point between someone in the organization and anyone outside the organization contributes to the brand perception. The quality of each interaction is incorporated into the brand, and with more social Network interactions exposing Customer opinion, this will only increase. Listen to the Voice of the Customer: Considers how every Customer touch point is an opportunity for engagement, and that the combination of information and analytics will help in addressing Customer issues in an optimal way. Engage, Engage, Engage: The preponderance of channels for communication not only complicates tracking Customer centricity, it confuses the Customer base and makes it difficult to hear what they are saying. This chapter discusses the need to unify the methods by which Customers communicate with the organization. Increased Revenues: These three chapters talk about optimizing business processes for creating value. This chapter talks about increased revenues. Decreased Costs: This one looks at decreasing costs. Protection of Brand: Discusses exposure to the brand and how Customer engagement and improved experience can work in the company's favor. Analysis, Information, Process: This chapter ties it all together to suggest required changes to the existing way of doing things combines analysis with good information and process change. This is a summary but these topics are then covered in the next 3 books.
