This thesis is focused on demonstrating the impact of the implementation of decentralized distributed energy sources (mainly RES) and electromobility technologies to electrical parameters in Czech medium voltage distribution network. Thesis is divided into two main chapters. First one is a brief theoretical summary of this problematic and the second one is a practical software simulation on a real medium voltage network. Proposed implementation scenarios are based on EU and national strategic plans for time period from 2020 to 2040.

[pt] Indutoras de inovação, as redes inteligentes de energia (smart grid) têm promovido mudanças significativas nos processos de fornecimento e controle de energia elétrica. Diante das oportunidades e desafios de incorporação da tecnologia de smart grid em suas práticas operacionais, as concessionárias de energia elétrica ficam expostas a novos riscos de segurança relacionados às suas necessidades de comunicação, automação de sistemas, introdução de novas tecnologias e tratamento de dados. O presente trabalho tem por objetivo mostrar que tais riscos podem ser minimizados pela adoção de recomendações normativas específicas. Objetiva, também, analisar parâmetros relacionados à segurança da informação na implantação da infraestrutura de medição inteligente no smart grid, assim contribuindo para a reflexão e produção de conhecimento na área. A experiência brasileira foi identificada a partir de uma pesquisa realizada junto a concessionárias inovadoras de energia elétrica que, tendo percebido a importância estratégica de adoção da tecnologia de redes inteligentes, já adotaram medidas estratégicas para a sua implantação. A pesquisa desenvolveu-se no contexto de cinco grandes vertentes de análise: contexto geral, segurança e vulnerabilidade da informação, impactos e aderência às normas aplicáveis. No Brasil, a motivação para o uso das redes inteligentes volta-se à confiabilidade do sistema elétrico nacional e ao combate às perdas não técnicas, refletindo compromisso com a melhoria da qualidade do serviço prestado ao consumidor final. Dentre os resultados do trabalho destacam o recenseamento da legislação aplicável e, à luz de iniciativas bem sucedidas de outros países em smart grid, o diagnóstico da experiência brasileira. Como conclusão, o trabalho (i) produz evidências de que as redes inteligentes contribuem para a redução de custos operacionais e perdas não técnicas e (ii) sinaliza para a necessidade de se intensificar a pesquisa sobre redes inteligentes como alternativa eficaz de superação da vulnerabilidade de acesso à informação imposta pelos medidores eletrônicos. / [en] Inducing innovation, the smart grids have promoted significant changes in electrical energy s supply and control processes. Given the opportunities and challenges for incorporating smart grid technology in their operating practices, the electrical utilities are exposed to new security risks related to their needs of communication, systems automation, new technologies introduction and data processing. This paper aims to show that these risks can be minimized by the adoption of specific policy recommendations. Also aims in analyzing parameters related to information security on the deployment of smart metering infrastructure on smart grids, this way contributing on reflection and knowledge production in the area. The Brazilian experience was idenified from a survey of innovative electrical utilities that, having realized the strategic importance of adoption of smart grid technology, were early adopters of strategic measures for its implementation. The research was developed in the context of five main pillars of analysis: general context, security and information vulnerability, impacts and adherence to applied standards. In Brazil, the motivation for the use of smart grids back to the national electrical system reliability and mitigation of non-technical losses, reflecting commitment to improve quality of service provided to the end consumer. Among the results of the survey it is highlighted the revision of legislation and, considering successful smart grid initiatives in other countries, the diagnosis of the Brazilian experience. In conclusion, the work (i) produces evidence that smart grids help reduce operating costs and non-technical losses and (ii) indicates the need to intensify research on smart grids as an effective alternative to overcome the vulnerability of access to information imposed by electronic meters.

Cette thèse étudie l'interaction technico-économique entre véhicules électriques et réseaux d'électricité. Le développement récent de la mobilité électrique invite en effet à analyser les impacts potentiels de la recharge de ces véhicules sur les réseaux électriques, mais aussi le soutien que ceux-ci pourraient apporter dans les réseaux du futur. Ce travail s'inscrit résolument dans le cadre des réseaux d'électricité intelligents ; la plupart des résultats de cette thèse s'appliquent tout aussi bien à un lave-linge, un chauffe-eau, une télévision tant que l'on leur prête la capacité d'intelligence ! Dès lors que les décisions des consommateurs électriques flexibles interagissent, ce cadre d'étude offre un terrain de jeu propice aux outils de théorie des jeux. Ceux-ci ont un apport direct lorsque le problème considéré a un fondement stratégique, mais leur application permet aussi de proposer des solutions sur des aspects où la théorie des jeux n'est pas forcément attendue : algorithmique, dans l'échange d'information entre acteurs, etc. La description de cet apport est l'objet principal de ce travail de thèse et se décompose en trois parties. En fil rouge, le cas des profils de charge rectangulaires – soutenus par de nombreux arguments pratiques mais souvent délaissés par les chercheurs – est analysé. En premier lieu, des questions algorithmiques se posent pour coordonner la charge de véhicules électriques dans un même périmètre du système électrique. Proposant et étudiant un algorithme de coordination, il est montré comment les propriétés fondamentales de celui-ci - sa convergence, l'efficacité de ses points de convergence – peuvent être déduite d'un jeu auxiliaire sous-jacent. L'analyse de ce jeu est faite en montrant qu'il appartient à la classe des jeux de potentiel, sous des hypothèses physiques et économiques très générales. Sur le plan de l'échange d'information, un modèle est proposé pour réfléchir à la bonne communication entre un opérateur du réseau et un véhicule. Ces deux agents ont intérêt à communiquer pour planifier la charge intelligente du véhicule électrique, mais ont des objectifs distincts. Ce cadre est très proche du Cheap-talk en théorie des jeux, mais aussi de la problématique de la quantification en traitement du signal. Ce travail tisse au passage des liens entre ces sujets. Il propose aussi une méthode pour que l'agent du réseau et le véhicule s'accordent hors-ligne sur un bon mécanisme d'échange d'information. Enfin, la théorie des jeux est appliquée dans un cadre plus habituel, pour analyser le jeu des acteurs. Ceci est fait quand des ensembles de véhicules de taille importante, vus comme des flottes, cohabitent avec des véhicules individuels. Ceci offre un terrain de jeu applicatif aux outils très récents des jeux composites. Dans ces trois directions de recherche, des simulations sont effectuées dans le cadre d'un réseau de distribution d'électricité, maille du système électrique qui pourrait vivre des impacts significatifs si la charge est non-coordonnée. En particulier, elles montrent la robustesse des méthodes proposées face aux incertitudes sur les données lorsque des profils de charge rectangulaires sont considérés. / This thesis studies the technical and economical interaction between electric vehicles and electrical networks. The recent development of electric mobility leads to the analysis of potential impacts of electric vehicle charging on the electrical networks, but also to the possible support that these particular electric consumers could provide in the future smart grids. In this direction, most of the results given in this thesis also apply to a washing machine, a water-heater, a TV, as soon as these equipments are capable of being smart! When the decisions of flexible electric consumers interact, the considered framework naturally offers a unique exercise area for the tools of game-theory. The interpretation is straightforward when the considered problem is strategic by definition, but these tools allow also shedding light on other aspects: algorithmic coordination, information exchange, etc. The description of the benefits of using game-theory in this context is the aim of this work. This is done according to three aspects. In these three directions, a particular attention is drawn to the case of rectangular charging profiles, which are very practical, but often ignored by the literature. First, algorithmic issues arise when coordinating the charging of electric vehicles in a same area of the electrical network. A charging algorithm is proposed and analyzed. This is done by studying an underlying auxiliary game. This game is proved to belong to the class of potential games under very general physical and economic assumptions. In turn, it inherits from the strong properties of this class of games, namely convergence and an efficiency result in the case of a large number of electric vehicles. Considering information exchange, a model is proposed to design a good communication scheme between an operator of the electrical system and an electric vehicle. Both agents have an interest in exchanging information to schedule optimally the charging profile of the electric vehicle but they do not share the same objective. This framework is closely related to Cheap-talk in game theory and to quantization in signal processing. Amongst others, this work explains interesting connections between both topics. Furthermore, a method, which is used offline, is given to obtain a good communication mechanism between both agents. Finally, game theory is used in its traditional form, studying the strategic interaction when groups of a large number of electric vehicles – seen as fleets – coexist with individual vehicles. This allows the application of the very recent concept of composite games. In the three parts of the work, simulations are conducted in a French realistic distribution network, which could be the first part of the electrical system severely impacted by a non-coordinated charging. This highlights the robustness of rectangular charging profiles against forecasting errors on the parameters of the models.

L’essor des technologies renouvelable à apport variable pose des nombreuses difficultés dans le fonctionnement du système électrique. Ce système doit garantir l’équilibre offre-demande à tout moment, ainsi que d’assurer des hauts niveaux de fiabilité du service. Donc, la variabilité accroît les besoins de flexibilité et des services système. Ils existent plusieurs options capables de fournir ceux services, dont : le renforcement des interconnections, le pilotage intelligent de la demande, le renforcement des capacités de réponse rapide des unités de production, mais aussi, le mis en œuvre des technologies de stockage de l’électricité. Cependant, les marchés électriques actuels sont basés sur la rémunération de l’énergie. Donc, la valorisation intégrale des services qui peut fournir le stockage semble difficile, ce qui restreint le « business case » des options de flexibilité.Cette thèse s’inscrit autour des propos suivants : (1) modéliser et évaluer les interrelations entre variabilité, besoins de flexibilité et objectifs de décarbonation du parc électrique, (2) analyser le rôle, ainsi que la valeur, des différents technologies du stockage à travers le cas Français aux horizons 2020, 2030 et 2050, et (3) discuter sur les aspects de régulation de la flexibilité, ainsi que proposer des politique énergétiques concrètes permettant la réussite des objectifs de transition énergétique et de décarbonation du mix électrique français. / The increasing variability of electricity production in Europe, which is mainly due to the intermittent production of renewables such as wind and photovoltaic (VRE), will require significant efforts to reconcile demand and supply at all times. Thus, increasing shares of variability imply increasing amounts of system services. In addition to upgraded interconnections, demand-side management (DSM) and dispatchable backup capacity, electric energy storage (EES) technologies will have a major role to play in this context.However, due to the peculiar price formation mechanism prevailing in energy-only electricity markets, the commercial case for EES is being eroded by the very forces that create the need for its increased deployment at the system level. The private incentives of EES are thus diminishing while its social value, which is determined by the multiple system services these technologies can supply, is increasing.This thesis sets out to (1) model and assess the interplays between variability, flexibility needs and decarbonization objectives, (2) analyze the role and the value of EES technologies in view of the French official objectives by 2020, 2030 and 2050, and (3) discuss regulatory aspects, and propose a set of energy policies allowing to succeed in the energy transition and decarbonization goals.

Les futurs réseaux de distribution d’électricité devront héberger une part importante et croissante de sources d’énergies renouvelables intermittentes. De plus, ils devront faire face à une part croissante de véhicules électriques. Ces tendances induisent le besoin de nouveaux paradigmes et architectures d’exploitation du réseau de distribution, afin de fiabiliser les réseaux et d'assurer la qualité de fourniture d’électricité. Dans cette thèse nous proposons une nouvelle architecture capable de favoriser la collaboration entre les acteurs du marché de gros, les gestionnaires de réseau de distribution et les clients finaux, afin de tirer parti des ressources énergétiques distribuées tout en prenant en compte les contraintes des réseaux de distribution. L’architecture est conçue pour fournir des services innovants de gestion de la demande résidentielle, dans le cadre de l'autoconsommation individuelle et collective (à l'échelle d'un quartier). La thèse apporte trois contributions principales. D'abord, sur la base de l'internet des objets et de la technologie blockchain, la thèse fournit les éléments de base pour les futures architectures de gestion de l'énergie au niveau du réseau de distribution. Ensuite, en focalisant sur les services rendus par de telles architectures, nous proposons un marché intra-journalier au pas horaire pour l'échange local de l'énergie renouvelable entre maisons, associé à un mécanisme d'allocation dynamique des phases afin d'améliorer la qualité de fourniture. Finalement, nous proposons un mécanisme de contrôle en temps réel pour l'ajustement des transactions du marché vers des échanges finaux d'électricité qui respectent les restrictions posées par le gestionnaire du réseau électrique. / Future electricity distribution grids will host an important and growing share of variable renewable energy sources and local storage resources. Moreover, they will face new load structures due for example to the growth of the electric vehicle market. These trends raise the need for new distribution grid architecture and operation paradigms to keep the grid stable and to ensure quality of supply. In addition, these new paradigms will enable the provision of advanced new services. In this thesis we propose a novel architecture capable of fostering collaboration among wholesale market actors, distribution system operators and end customers, to leverage flexible distributed energy resources while respecting distribution system constrains. The architecture is designed for providing innovative residential demand side management services, with a special focus on services enabled by self-consumption at the household and neighborhood level. Following these general objectives, the thesis provides three main contributions. First, based on internet of things and blockchain technology, we propose the building blocks for future distribution grid energy management architectures. Then, focusing on the services enabled by such architectures, we propose hour-ahead markets for the local exchange of renewable energy among households together with dynamic phase allocation mechanism to improve the quality of electricity supply. Finally, we propose a real time control mechanism for the adjustment of market decisions to satisfy distribution system operator constraints.

L’Internet des Objets (IdO) et le déploiement des équipements connectés permettent la mise en place de solutions de Gestion Active de la Demande(GAD) avancées. En effet, il devient possible d’avoir plus de visibilité et un contrôle fin sur différents équipements qui consomment, stockent ou produisent de l’énergie dans une maison. Dans cette thèse, nous considérons des solutions ayant la capacité de produire des décisions de contrôle direct à différents niveaux de granularité en fonction des variables mesurées dans les habitats. Le contrôle est basé sur une optimisation d’utilité perçue. Des fonctions utilité sont définies à travers une approche générique qui considère la flexibilité de la charge et l’impact des décisions de contrôle sur les utilisateurs. L’approche proposée n’impose pas de restrictions sur le type des équipements contrôlés ni sur la granularité des décisions de contrôle. Ceci permet un contrôle joint d’équipements hétérogènes. Nous considérons trois types d’architectures de contrôle à savoir: des solutions centralisées, partiellement distribuées et entièrement distribuées. Ces architectures diffèrent dans la distribution de la prise de décision entre les entités impliquées dans le contrôle et les données qui sont mis à disposition de ces entités. L’analyse numérique montre les compromis des solutions proposées du point de vue de la performance, de l’extensibilité et de la complexité. / The Internet of Things (IoT) paradigm brings an opportunity for advanced Demand Response (DR) solutions. Indeed, it enables visibility and control on the various appliances that may consume, store or generate energy within a home. In this thesis, we consider solutions having the capability to produce direct control decisions at different granularities based on variables measured at homes. Control schemes are driven by an optimization based on utility functions. These functions are defined based on a generic approach that considers load’s flexibility and the impact of control decisions on users. The proposed approach does not impose any restrictions on the type of controlled appliances nor on the granularity of control decisions. This enables joint control of heterogeneous loads. We consider three types of control architectures, namely centralized, partially distributed and fully distributed solutions. Schemes based on these architectures differ in the distribution of decision making among entities involved in the control and data that is made available to these entities. Numerical analysis shows the trade-offs of proposed solutions from a performance, scalability and complexity perspectives.

Integrating the electrical and thermal community buildings' energy systems can play an important role in harvesting wasted energy resources and reduction of carbon emissions from buildings and electricity generation sectors. It also increases demand management flexibility by minimizing the curtailed electricity on the grid through electrified heating without increasing the electricity peak demand. The current work examines Integrated Community Energy and Harvesting systems (ICE-Harvest), a new generation of distributed energy resources systems (DERs). They prioritize the harvesting of community waste energy resources—for example, heat rejected from cooling processes and distributed peak electricity fossil-fuel-fired generators, as well as energy from curtailed clean grid electricity resources—to help in satisfying the heating demands of commercial and residential buildings. As such, ICE-Harvest systems provide a solution that can minimize greenhouse gas emissions from high-energy-consumption buildings in cold-climate regions such as North America and Northern Europe. In the current research, a thermal energy sharing model was developed to provide a dynamic characterization of the potential benefits of integrating and harvesting energy within a community of any number of buildings. The proposed model estimates the amount of rejected heat from cooling and refrigeration systems that can be simultaneously collected and used to heat other nearby buildings connected with a low temperature microthermal network (MTN). It also determines the proper timing and quantity of electricity used by the heat pumps in low-temperature MTNs as well as the reduction of both GHG emissions and the energy required from the EMC relative to conventional stand-alone systems. For an energy-balanced community cluster, the model showed that, over the course of a year, the energy harvesting would reduce this node’s GHG emissions by 74% and cover approximately 82% of the heating requirements compared to the BAU system. The results also revealed that the diversity in thermal demand between the connected buildings increases the harvesting potential. This research develops two clustering methods for the ICE-Harvest system. The proposed methods are clustering around anchor building and density-based (DB) clustering with post-processing by adding the closest anchor building to each cluster that focuses on the diversity of the buildings in each cluster. The energy sharing model is used to examine these techniques in comparison with the density-based clustering technique, the commonly used technique in the literature on a large database of 14000 high energy consumption buildings collected in Ontario, Canada. The results of this case study reveal that DB clustering with post-processing resulted in the largest emission reduction per unit piping network length of 360 t CO2eq /km/year. In addition, this research identified seven different cluster categories based on the total and simultaneous cooling-to-heating ratios of each cluster. The ICE harvest system integrates the thermal and electrical networks to add more flexibility to the electricity grid and schedule the electrification of heating (EoH). Current research provides a reduced model for the ICE-Harvest system to study its impact for over 1100 clusters of different categories on a provincial scale on the GHG emission and electricity demand from the grid. The use of ICE-Harvest systems at this scale can displace the energy required from the gas-fired heating resources by 11 TWh, accounting for over 70% of the clusters’ total heating requirements. This results in a 1.9 Mt CO2eq reduction in total GHG emissions, which represents around 60% of the clusters’ emissions. Operating conditions of the thermal network (TN) in the integrated community energy systems affect the ability to harvest waste energy and the reduction of GHG emissions as well as the electricity peak demand and consumption. In the current research, modeling of different thermal distribution network operating scenarios was performed for the different community energy profile clusters. These operation scenarios include low-temperature (fourth generation), ultra-low (fifth generation), a binary range-controlled temperature modulating thermal network operating between Low and Ultra-low temperatures (ICE-Harvest), and a new proposed scenario wherein a continuous range-controlled temperature modulating micro-thermal network. The continuous range-controlled temperature scenario shows the most benefits with the large implementation on the identified clusters. It adds more flexibility to balance the electricity grid as well as results in large GHG emission savings while controlling the increase in site electricity peak demand. The load profile of the cluster affects the selection of the most beneficial energy integrated system. This research shows that, for most of the heating-dominated clusters, it is better to employ the continuous range-controlled temperature TN with peak control and CHP on sites to serve the high heating demands along with short term and seasonal thermal storage. For the majority of balanced and /or cooling-dominated clusters, it is better to implement more carbon-free resources to the electricity grid or on-site that produce electricity but are not associated with heat such as wind, hydro, and solar PV panels. Parametric studies were performed in this research including changing the CHP size, the CHP utilization efficiency, and the grid gas-fired generators usage conditions to show their impact on the GHG emissions reduction from the clustered buildings. The analysis was implemented on a fleet of 1139 sites in Ontario and the results showed that the CHP size and operating hours have a measurable impact on GHG emission saving. The system can reach up to 58% and 66.5% emission savings of the total sites’ emissions with 93% and 39% operating hours respectively following the Ontario grid natural gas peaking power plants for the years of 2016 and 2017 with larger CHP sizes. The largest share of GHG emission saving in 2016 is by the CHP (61%) as opposed to 30% in 2017. The reduced models introduced in this research for the thermal energy sharing, the ICE-harvest system operation and sizing, and the MTN operation aid the investigation of the impact of the large implementation of the ICE-Harvest systems on the GHG emissions and electricity grid. / Thesis / Doctor of Philosophy (PhD)

It is known that the heating and cooling market constitutes a large part of energy market across Europe and that the domestic and non-domestic buildings have together the largest share of energy demand. The aim of the European climate goals is to reduce the use of fossil fuel based systems and the allowance of energy demand. These have been striving reasons to increase efficiency and reduce GHG emissions on energy systems for buildings. The climate goals and regulations mentioned in this study implicates that European countries strives towards renewable sources in the heating sector, and encouraging heating networks with renewable sources. E.ON has developed a new low temperature district heating and cooling system called EctogridTM, a heat network integrated with heat pumps and cooling machines to supply energy. This thesis will thoroughly describe this heating and cooling system, called EctogridTM, and its constitutive components. The aim of this study is to determine whether the energy markets in Germany and United Kingdom are ready for an introduction of EctogridTM, and exploit existing and upcoming obstacles. To determine this, two research questions are answered through literature review, research and a case analysis. The first research question is evaluating the energy market in Europe with a focus on the heating demand in Germany and United Kingdom where fossil fuels are the dominating fuel. Second research question is comparing EctogridTM with a 4th generation district  heating  network, 4GDHn, in costs to evaluate the competitiveness with existing energy systems on the market. It is concluded that obstacles exist, how big they are for EctogridTM differs from country to country. How developed and flexible the infrastructure is, what energy sources and technologies are commonly used for heating purposes, building insulation, energy prices and regulations are factors that more or less variates from country to country and decides the severity of the feasible imposed obstacles. Germany and United Kingdom mostly uses decentralized gas boilers for the building heating demand, people often reasons them to have cheap running cost due to the energy prices. This study shows that that despite the big difference in energy price between gas and electricity for a household, heat pumps with a minimum COP of 3.5 will have lower running costs  than traditional gas boilers. Since EctogridTM uses heat pumps with a COP between 4-5, in optimal conditions, it is quite competitive in running cost to gas boilers. The obstacle here lies in most buildings being old and insufficient insulated for an EctogridTM system and the investment costs often being more expensive compared to gas boilers. Installing a heat pump or a gas boiler shows that the CO2 emissions per kWh of useful heat (kg CO2/kWh) are 0.31 for a gas boiler and 0.16 for an AHP which means a decrease in emissions of around 50% per useful kWh heat. The case study compared 4GDHn with an EctogridTM solution as an energy system. The case study consisted of 3 buildings with a heating and cooling need in a newly built area in Germany and United Kingdom. The study showed that an EctogridTM solution was more expensive for the customers but more profitable for producers when comparisons were made with regards to the current energy prices and estimations. However, a larger area with a much higher energy demand needs to be considered to see the real competitiveness of EctogridTM and electrified solution. A larger cooling demand will benefit EctogridTM  while reducing the profits of a 4GDHn. The uncertainty of the acquired data, since no pilot project exists yet, makes it hard to draw a certain conclusion whether it is a more competitive energy system than a 4GDHn and other current low carbon heating systems. / Värme- och kylbehovet utgör en stor del av energisektorn i Europa, där kommersiella och icke- kommersiella byggnaderna tillsammans står för den största andelen av energibehovet i energimarknaden. Målet med Europas klimatmål är bland annat att minska användningen av fossila bränslen samt energibehovet. Klimatpåverkan från värme- och kylsystem i byggnadssektorn har varit omfattande och klimatmålen motiverar ägarna av energisystemen att bli mer energi effektiva och minska deras växthusemissioner. Klimatmål och bestämmelser som nämns i denna rapport visar att länderna i Europa strävar efter att främja förnybara källor i värmesektorn, där värmenätverk är ofta nämnd.E.ON har utvecklat ett låg temperaturs nätverk som kallas för EctogridTM, där nätverket är integrerat med värmepumpar och kylmaskiner för att leverera energi. Det här arbetet kommer noggrant att beskriva EctogridTM och dess djupgående komponenter.Syftet med denna studie är att avgöra om energimarknaden i Tyskland och Storbritannien är redo för en implementering av EctogridTM, och upplysa om de existerande samt framtida hindren. För att svara på detta är två nyckelfrågor framtagna och besvarade genom litteraturstudie, forskning och en fallstudie.Första nyckelfrågan utvärderar energimarknaden i Europa med fokus i Tyskland och Storbritanniens värmebehov där användingen av fossila bränslen utgör större delen av marknaden. Andra nyckelfrågan jämför kostnaderna mellan EctogridTM  och 4:e generationens fjärrvärmenätverk, detta för att ta veta hur konkurrenskraftig EctogridTM är gentemot nuvarande och snarliknande energisystem i marknaden. Studien visar att hinder existerar när EctogridTM introduceras till marknaden, hur stora dom är kan variera mellan olika länder. Hur utvecklat och flexibelt infrastrukturen är, vilken energikälla samt teknologi som vanligtvis används för komfortvärmen, byggnadsisolering, energipriser och bestämmelser är faktorer som mer eller mindre varierar mellan länderna och  bestämmer storheten på hindret/n. Tyskland och Storbritannien använder mestadels lokala gaspannor för värmebehovet i byggnader. Ofta associeras gaspannor med låga driftkostnader på grund av energipriserna. Den här studien visar att värmepumpar med en genomsnittlig COP som är minst 3.5 har lägre driftkostnader än traditionella gas pannor, trots den stora skillnaden mellan gas- och elpriset. Då EctogridTM använder värmepumpar som i drift skall ha en genomsnittlig COP på mellan 4-5, vid optimala förhållanden, är detta system konkurrenskraftigt gentemot lokala gaspannor. Hindret här ligger i att de flesta byggnader inte är tillräckligt bra isolerade och kan implementera EctogridTM då systemet opererar i för låga temperaturer, samt att investeringskostnaderna oftast är betydligt dyrare än ett system med gaspanna. Vid installation av en luftvärmepump eller gaspanna visar att CO2 emissionerna per kWh nyttig värme (kg CO2/kWh) är 0.31 för en gaspanna och 0.16 för luftvärmepumpen, vilket leder till en halvering av CO2 utsläpp. Den skapade fallstudien jämför 4:e generationens fjärrvärmenät med en EctogridTM lösning, där systemen ska förse tre nybyggda fastigheters värme- och kylbehov i ett nybyggnationsområde i Tyskland samt Storbritannien. Fallstudien visade att implementerandet av EctogridTM var dyrare för kunden men avkastningen för energibolagen var högre än 4:e generationens fjärrvärmenät, detta baserades på nuvarande energipriser samt prissättningen. Men det är rekommenderat att göra en jämförelse över ett större område med högre energibehov än i denna fallstudie för att få en mer verklig uppfattning. Ökad andel av kylbehov än i denna fallstudie är även något att se över då det ökar avkastningen för EctogridTM och förväntas öka effektiviteten avsevärt för systemet. Något som inte är lika fördelaktigt för 4:e generationens fjärrvärmenät. Det är svårt att ge helt tillförlitliga slutsatser och resultat då ett pilotprojekt på EctogridTM inte existerar ännu, det vill säga den data som har varit grunden för vår analys och resultat är inte bekräftad att vara helt korrekta. Vilket gör att man med säkerhet inte kan säga om EctogridTM är mer eller mindre konkurrenskraftig än 4:e generationens fjärrvärmesystem och andra befintliga lågemitterande värmesystem.

The electricity sector has a huge role in decarbonization of the energy system in order to meet climate targets and achieve net zero emission goals in different countries across the world. Present day electric power systems are increasingly dependent on less carbon intensive renewable energy sources for power generation. Rapid penetration of renewables leads to an increase in distributed generation and active consumer participation resulting in complex interactions within the power system. Therefore, traditional electric power grids are evolving to smart grids with the help of information and communication advancements. As a result, there is greater integration of Information Technology (IT) and Operational Technology (OT) actors, inclusion of clean energy sources, improved connectivity, sustainable supply and demand balance management of power etc. However, this sustainable transition gives rise to new attack points for malicious actors, who intend to disrupt the functioning of these smart grids. Therefore, this study aims to identify and analyse the most significant risks to smart grids in the next 10 years. The methodology for this research is two-fold: reviewing state-of-the-art research publications on smart grid security and conducting a semi-qualitative power grid security assessment through interviews with experts across countries. False Data Injection (FDI), Denial of Service (DoS) and supply chain attacks are some of the most important threats according to these methods. Finally, findings from the two research methods are compared to provide a comprehensive overview of the most significant risks to smart grids. / Elsektorn har en enorm roll att spela när det gäller att minska koldioxidutsläppen från energisystemet för att uppfylla klimatmålen och uppnå nettonollutsläpp i länder runt om i världen. Dagens elsystem är alltmer beroende av mindre koldioxidintensiva förnybara energikällor för elproduktion. Den snabba utbyggnaden av förnybara energikällor leder till en ökning av distribuerad produktion och aktivt konsumentdeltagande, vilket leder till komplexa interaktioner inom elsystemet. Traditionella elnät håller därför på att utvecklas till smarta nät med hjälp av informations- och kommunikationsframsteg. Som ett resultat av detta sker en större integration av aktörer inom informationsteknik (IT) och driftsteknik (OT), införande av förnyelsebara energikällor, förbättrad konnektivitet, hållbar hantering av balans mellan konsumtion och produktion av el. Denna hållbara övergång ger dock upphov till nya ingångar för illasinnade aktörer som vill störa de smarta nätmens funktion. Syftet med denna studie är därför att identifiera och analysera de viktigaste riskerna för smarta nät under de kommande tio åren. Metoden för denna forskning är tvåfaldig: genomgång av de senaste forskningspublikationerna om säkerhet i smarta nät och en semikvalitativ bedömning av säkerheten i smarta nät genom intervjuer med experter från olika länder. FDI (False Data Injection), DoS (Denial of Service) och attacker mot leveranskedjan är några av de största hoten enligt dessa metoder. Slutligen jämförs resultaten från de två forskningsmetoderna för att ge en heltäckande översikt över de viktigaste riskerna för smarta nät.

I takt med nya innovationer och samhällets fortsatta utveckling och utbredning ökar även elektrifieringen. För att uppnå flera av de miljömål som satts upp av Sveriges riksdag krävs en övergång till ett elsystem byggt på el från förnybara källor. Den ökande elektrifieringen medför inte bara ökade krav på den mängd el som produceras, men även förmågan att transportera den. Den ökade belastningen på elnätet skapar flaskhalsar och kapacitetsbrist i större städer och regioner, vilket gör det svårt att till exempel etablera nya fabriker och bostadsområden vilket bromsar samhällets utveckling. För att lösa denna kapacitetsbrist behövs det svenska stamnätet byggas ut. Detta är dock en relativt långsam process vilket ställer krav på innovativa lösningar som kan avlasta elnätet på kort och lång sikt. En sådan lösning är en ökad efterfrågeflexibilitet, vilket innebär att vissa effektkrävande aktiviteter flyttas till tider på dygnet då elnätet är mindre belastat. Genom att använda sig av smart elnätsteknik kan konsumenter få information om elpriser i realtid och därmed anpassa sin elkonsumtion och dra nytta av lägre elpriser och större tillgång till grön el då topplasten på elnätet är lägre. Syftet med denna studie är att undersöka hur sådana smarta elnätstjänster kan resultera i en ökad efterfrågeflexibilitet i bostäder, och om denna efterfrågeflexibilitet kan hjälpa till att motverka kapacitetsbristen i det svenska elnätet. För att undersöka detta har en litteraturstudie med fokus på beteendeförändringar kopplade till hållbar utveckling samt fyra kvalitativa intervjuer av relevanta aktörer i elbranschen gjorts. Resultaten från litteraturstudien har analyserats i syfte att undersöka huruvida de är applicerbara på smarta elnätstjänster för att uppnå en ökad efterfrågeflexibilitet eller ej. De kvalitativa intervjuerna har summerats och analyserats för att undersöka vilka frågor det råder enighet samt oenighet i bland branschens aktörer. Efter analys samt diskussionen visar studien att smarta elnätstjänster kopplade till bostäders elkonsumtion har potential att uppnå en ökad efterfrågeflexibilitet samt att denna efterfrågeflexibilitet kan bidra till att minska kapacitetsbristen i elnätet. Detta ska dock inte ses som en universell lösning utan en av flera nödvändiga lösningar för att rå på problemet. / As innovation and society continue their growth, electrification is increasing rapidly. To achieve several of the environmental goals set by the Swedish Parliament, a transition to an electricity system based on electricity from renewable sources is also required. The increasing electrification entails not only increased demands on the amount of electricity produced, but also the ability to transport it. Increased load on the electricity grid creates bottlenecks and capacity shortages in larger cities and regions, which makes it difficult to establish, among other things, new factories and residential areas, which slows down the development of society. To solve this capacity shortage, the Swedish electrical grid needs to be expanded. However, this is a relatively slow process, which places demands on innovative solutions that can relieve the electricity grid, both short term and long term. Such a solution is an increased demand flexibility, which means that certain power-demanding activities are moved to times of the day when the grid is less congested. By using smart grid technology, consumers can get information about electricity prices in real time and thereby adjust their electricity consumption and benefit from lower electricity prices and greater access to renewable energy when the top load on the electricity grid is lower. The purpose of this study is to investigate how such smart grid services can result in increased demand flexibility in homes, and whether this demand flexibility can help counteract the capacity shortage in the Swedish grid. To investigate this, a literature study focusing on behavioral changes linked to sustainable development, and four qualitative interviews with relevant actors in the energy industry, have been conducted. The results from the literature study have been analyzed to investigate whether or not they are applicable to smart grid services to achieve increased demand flexibility. The qualitative interviews have been summarized and analyzed to examine what issues there is agreement and disagreement in among the industry's players. After analysis and discussion, the study shows that smart grid services linked to residential electricity consumption have the potential to achieve increased demand flexibility and that this demand flexibility can contribute to reducing capacity shortage. However, this should not be seen as a universal solution but as one of several necessary solutions to tackle the problem.