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Saele conducted and analyzed the survey data. All authors contributed to writing the paper, and read and approved the final manuscript. ...doi:10.3390/su7055431 fatcat:jz5vl4juy5cp3n5rch6wx5tayi
Hanne Saele: Conceptualization, Investigation, Methodology, Visualization, Writing -original draft, Writing -review & editing. ...doi:10.1016/j.epsr.2021.107022 fatcat:uffnllwbgnhijjg73fia74uf5q
Solar power or photovoltaic (PV) systems have emerged as a leading low-carbon energy technology worldwide, but the deployment of residential PV systems in Norway has lagged behind other Scandinavian countries. Therefore, the Norwegian market provides an opportunity to gain insights on the demand factors that determine residential PV adoption. This paper presents results from a statedpreference survey designed to elicit household knowledge, preferences and willingness to pay for residential PVdoi:10.12924/cis2020.08010001 fatcat:ybdawka2hvfoznc2erdzmk6m5e
more »... stems. Results suggest that meaningful growth in residential PV capacity depends greater knowledge among households, continued advances in technology, clarity with the grid tariff and stronger support systems. A review of recent experiences in the field corroborates the important role of effective regulatory structures and support programs.
2018 53rd International Universities Power Engineering Conference (UPEC)
Norway is currently the largest market in the world for electric vehicles compared to the total number of vehicles sold, and there is also a political goal in Norway to stop the sale of new conventional cars 1 by 2025. Changing to nonemission transport can result in approx. 1.5 mill. private electric vehicles in 2030, resulting in an energy need of 4 TWh, which represents an increase of 3% of the Norwegian electricity consumption. The increased number of electric vehicles will not be an energydoi:10.1109/upec.2018.8541926 fatcat:ucfmeicj2zet5bkfjwlougqbqe
more »... roblem, but it can be a capacity related problem in the distribution grid if all households are charging at the same time -in addition to their usual consumption of electricity. This paper presents results from a research project evaluating the consequences of the increasing share of electric vehicles and the potential for demand response and flexibility in charging. Results are based on a survey performed among households with electric vehicles and meter data of the energy consumption from charging of a selection of the most common electrical vehicles in Norway.
Lecture Notes in Computer Science
Current eCommerce is still mainly characterized by the trading of commodity goods. Many industries offer complex compositions of goods based on customers' specifications. This is facilitated by a component-based description of goods, supported by a variety of product classification schemes, e.g., UNSPSC and eCl@ss. These focus on physical goods -wrongly referred to as products -rather than on services. Services are intangible products, for instance insurances, transportation, networkdoi:10.1007/978-3-540-25975-6_5 fatcat:bqefwjaglfhipdwwrctj3z545y
more »... y, events hosting, entertainment or energy supply. Due to major differences between goods and services, product classification schemes cannot support automated service scenarios, such as a customer who wishes to define and buy a set of independent services, possibly supplied by multiple suppliers, via one website. To enable such eCommerce scenarios for services, a service ontology is required that supports a component-based structure of services. Defining a set of services is then reduced to a configuration task, as studied in the knowledge management literature. In this paper we use a case study from the Norwegian energy sector to describe how a component-based ontological description of services facilitates the automated design of a set of services, a so called service bundle.
Lecture Notes in Computer Science
The lack of a good understanding of customer needs within eservice initiatives caused severe financial losses in the Norwegian energy sector, resulting in the failure of e-service initiatives offering packages of independent services. One of the causes was a poor elicitation and understanding of the e-services at hand. In this paper, we propose an ontologically founded approach (1) to describe customer needs, and the necessary e-services that satisfy such needs, and (2) to bundle elementarydoi:10.1007/11431855_28 fatcat:4mben3mw4rcbrnznkfmhfqzgu4
more »... rvices into needs-satisfying e-service bundles. The ontology as well as the associated reasoning mechanisms are codified in RDFS to enable software support for need elicitation and service bundling. A case study from the Norwegian energy sector is used to demonstrate how we put our theory into practice.
This study focuses on alternative grid tariffs for household customers with roof top photovoltaic (PV) panels ('prosumers'), and evaluates how alternative grid tariffs might affect the benefit from investing in a roof top PV panel. The study further shows how different orientations of the PV panels can affect the benefits for the prosumers subjected to different grid tariffs (e.g. a power grid tariff), where the idea is that self-consumption will produce the best economic yield. First differentdoi:10.1049/oap-cired.2017.0556 fatcat:klyd6wb5gfcftavvl45v2flhtm
more »... alternatives for distribution grid tariffs to household customers and prosumers are presented. Afterwards, the study presents empirical data showing typical consumption and generation for some households with PV panels (located in south-eastern and central Norway). † Store the meter data with a registration frequency of a maximum of 60 min. It should be possible to change the registration frequency to a minimum of 15 min. † Have standardised interfaces that allow for communication with external equipment based on open standards. † Be able to connect different types of meters (gas, heat, water etc.).
Please cite this article as: Lakshmanan V, Saele H, Degefa MZ, Electric water heater flexibility potential and activation impact in system operator perspective -Norwegian scenario case study, Energy, https ...doi:10.1016/j.energy.2021.121490 fatcat:diodvlewlfhcbjfkq42xvlfrsq
2017 IEEE Manchester PowerTech
This paper presents the trends towards capacity based grid tariffs and results from a work analysing the consequences different grid tariffs will have for residential customers, based on their consumption profile. The analyses are based on hourly meter data from 10.055 residential customers in Norway. The work is a result from the Norwegian research project "SmartTariff" (2014-2017), which aims to develop the future tariffs to be introduced when full-scale roll-out of smart meters have beendoi:10.1109/ptc.2017.7981177 fatcat:rnva45jxovdqnnqexpt4geor4q
more »... ormed. The results show that changing to capacity based tariffs will result in a reallocation of costs between different types of customers, and the customers will pay according to how they affect the distribution grid.
2019 International Conference on Smart Energy Systems and Technologies (SEST)
This paper identifies the effect of Electric vehicles (EVs) and solar panels/ photovoltaic (PVs) on the distribution grid with and without the use of demand response. A method to generate realistic profiles of EVs and PVs based on statistical data is presented. The paper documents the impacts of EVs and PVs on a selected Norwegian LV distribution network by using up-to-date scenarios of the loads and actual network and household load data. The simulation study reveals that undervoltage problemdoi:10.1109/sest.2019.8849081 fatcat:nsl3imdnbjftfnd6blnbdydioy
more »... aused by EV is considerably more likely than overvoltage problem caused by increased PV integration. In another dimension, flexibility resources such as shiftable loads from household appliances showed greater potential to solve overvoltage problems due to PV integration than undervoltage problems due to increased EV integration.
We outline a rigorous approach that models how companies can electronically offer packages of independent services (service bundles). Its objective is to support prospective Website visitors in defining and buying service bundles that fit their specific needs and demands. The various services in the bundle may be offered by different suppliers. To enable this scenario, it is necessary that software can reason about customer needs and available service offerings. Our approach for tackling thisdoi:10.4018/jebr.2005070105 fatcat:acvi44ff35c4zpqvhyofl7z46i
more »... sue is based on recent advances in computer and information science, where information about a domain at hand is conceptualized and formalized using ontologies and subsequently represented in machine-interpretable form. The substantive part from our ontology derives from broadly accepted service management and marketing concepts from business studies literature. In earlier work, we concentrated on the service bundling process itself. In the present chapter, we discuss how to ensure that the created bundles indeed meet customer demands. Experience of Norwegian energy utilities shows that severe financial losses can be caused when companies offer service bundles without a solid foundation for the bundle-creation process and without an in-depth understanding of customer needs and demands. We use a running case example from the Norwegian energy sector to demonstrate how we put theory into practice.
Due to the aging of network infrastructure, the increasing load demand in distribution networks together with the increased installation of PVs (Photovoltaic) in the MV and LV network, there is a need for network reinforcement. As load growth congests the grid, the strategic placement of electric storage systems can be an alternative to or contribute to a deferral of grid investments. To study this, an optimization problem solving the dual-purpose deployment of prosumers' level battery storagedoi:10.1049/oap-cired.2017.0757 fatcat:gk6rcwid4nf33cn2mgd6o6qy4i
more »... ystem has been formulated and will be presented in this paper. The MV/LV substation loadings are compared for the 0% prosumers and 100% prosumers scenarios with PV-battery system. The results of the analysis show that the absolute peak at secondary substation decreases by 8.74% and the average day peak drops by 17% while the total annual energy drawn from the grid reduced by 8.41% with the 100% prosumers scenario. Furthermore, by using household level battery systems for peak shaving of local loads one can achieve a deferral of overloading by 3 years at MV/LV substation.
This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditionaldoi:10.3390/electricity2010006 fatcat:kkpg62kwobdk7gygtk22iunglu
more »... ts as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.
Across Europe Distribution System Operators (DSOs) are increasingly looking to harness network flexibility and provide more efficient network investments, lowering network costs for consumers. DSOs require a robust method of evaluating the benefit of flexibility actions, and the time-varying impact of prosumer growth is a critical input to this process. This paper presents the outputs of a collaborative study that explores the impact of growth in domestic Low Carbon Technology (LCT) in terms ofdoi:10.34890/434 fatcat:6yzgndsrprdhtpn35gchnznmfu
more »... network constraint emergence and harnessing flexibility.Through the application of the curtailment assessment methodology to network development scenarios (reflecting different growth rates and forms of LCT), the studies present the impact of domestic LCT growth on the frequency and magnitude of network constraint events, ultimately reflecting the scale of flexibility required to manage constraints.Comparative evaluation of the study outputs highlights the importance of modelling developments on the low voltage (LV) network, even where studies are focused on medium voltage (MV) or high voltage (HV) constraints. The two presented methods: time-series prosumer growth modelling and constraint analysis are of great relevance for DSOs. The value presented by the methods reflects a required development in network planning and design processes as DSOs look to respond to, and harness, greater levels of flexibility on networks and accommodate greater volumes of low-carbon technology. This can result in the more efficient utilisation of existing network capacity and deferral or avoidance of expensive grid reinforcement.
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