The increase in deployment of microgrids and the mismatch between local energy generation and demand have led to an innovative and versatile peer-to-peer (P2P) energy sharing framework to manage distributed energy resources (DER). P2P energy sharing, described as the energy trade between local prosumers and consumers based on the sharing economy concept, is one effective solution that allows excess energy from prosumers DER to be traded within their local community. P2P energy sharing exhibits superior advantages in terms of local power self-consumption, self-sufficiency and return on local generation investment compared with the conventional peer-to-grid (P2G) trading. Existing studies have shown the benefits of battery energy storage systems (BESSs) inclusion, but do not consider optimal BESS sizing with P2P energy sharing under different BESS ownership. For microgrids of grid-tied solar photovoltaic (PV) prosumers, two different optimal BESS ownership structures under the P2P framework, namely the ESP owned BESS structure and the User owned BESS structure, are investigated in this study which are compared to the traditional User owned BESS structure under the P2G framework. An optimal BESS sizing model is proposed for a P2P energy sharing network (ESN) consisting of a centralised BESS owned by a third-party energy sharing provider (ESP). A multi-objective optimisation model, considering the ESP energy storage investment net present value and the ESN energy costs, is formulated incorporating the supply and demand ratio for the ESN internal pricing mechanism. It is found that for a university campus network case study that the P2P structures are more economically beneficial as they achieved greater NPVs in comparison to their BESS size. The most desirable BESS ownership structure, with the greatest NPV of $1 397 770.04 and an overall reduction in BESS size of 10%, is the User owned BESS structure with P2P energy sharing. However, that is assuming that all prosumers are willing and financially capable of investing in a BESS. The ESP owned structure was found to be less economically beneficial for the prosumers, but provided the opportunity for prosumers to engage in P2P energy sharing and reduce their energy costs without a BESS investment cost. A simplified BESS operation control is also realised with this structure. Finally, the simulation results from the case study show an approximate linear interaction between the ESP optimal li-ion battery energy storage sizing with the amount of P2P energy sharing and the energy cost for the ESN under the time-of-use tariff. The larger the li-ion battery, the more P2P energy li-ion battery, decreases the BESS NPV and possibly making its deployment infeasible. / Dissertation (MEng)--University of Pretoria, 2019. / Electrical, Electronic and Computer Engineering / MEng / Unrestricted

Indiana University-Purdue University Indianapolis (IUPUI) / Combining rooftop solar with energy storage for off-grid residential operation is restrictively expensive. Historically, operating off-grid requires an 'isolated self-consumption' operating strategy where any excess generation is wasted and to ensure reliability you must install costly, polluting generators or a large amount of energy storage. With the advent of Blockchain technology residents can come together and establish transactive microgrids which have two possible operating strategies: Centralized Energy Sharing (CES) and Interconnected Energy Sharing (IES). The CES strategy proposes that all systems combine their photovoltaic (PV) generation and energy storage systems (ESS) to meet their loads. IES strategy establishes an energy trading system between stand-alone systems which allows buying energy when battery capacity is empty and selling energy when battery capacity is full. Transactive microgrids have been investigated analytically by several sources, none of which consider year-round off-grid operation. A simulation tool was developed through MATLAB for comparing the three operating strategies: isolated self-consumption, CES, and IES. This simulation tool could easily be incorporated into existing software such as HOMER. The effect of several variables on total cost was tested including interconnection type, initial charge, load variability, starting month, number of stand-alone systems, geographic location, and required reliability. It was found that the CES strategy improves initial cost by 7\% to 10\% compared to the baseline (isolated self-consumption) and IES cases in every simulation. The IES case consistently saved money compared to the baseline, just by a very small amount (less than 1\%). Initial charge was investigated for March, July, and November and was only found to have an effect in November. More research should be done to show the effect of initial charge for every month of the year. Load variability had inconsistent results between the two geographic locations studied, Indianapolis and San Antonio. This result would be improved with an improved load simulation which includes peak shifting. The number of systems did not have a demonstrable effect, giving the same cost whether there were 2 systems or 50 involved in the trading strategies. It may be that only one other system is necessary to receive the benefits from a transactive microgrid. Geographic locations studied (Indianapolis, Indiana; Phoenix, Arizona; Little Rock, Arkansas; and Erie, Pennsylvania) showed a large effect on the total cost with Phoenix being considerably cheaper than any other location and Erie having the highest cost. This result was expected due to each geographic location's load and solar radiation profiles. Required reliability showed a consistent and predictable effect with cost going down as the requirement relaxed and more hours of outage were allowed. In order to accomplish off-grid operation with favorable economics it is likely that a system will need to reduce its reliability requirement, adopt energy saving consumption habits, choose a favorable geographic location, and either establish a transactive microgrid or include secondary energy generation and/or storage.

Blockchain has become the most revolutionary technology in the 21st century. In recent years, one of the concerns of world energy isn't just sustainability yet, in addition, being secure and reliable also. Since information and energy security are the main concern for the present and future services, this thesis is focused on the challenge of how to trade energy securely on the background of using distributed marketplaces that can be applied. The core technology used in this thesis is distributed ledger, specifically blockchain. Since this technology has recently gained much attention because of its functionalities such as transparency, immutability, irreversibility, security, etc, we tried to convey a solution for the implementation of a secure peer-to-peer (P2P) energy trading network over a suitable blockchain platform. Furthermore, blockchain enables traceability of the origin of data which is called data provenience. In this work, we applied a secure blockchain technology in peer-to-peer energy sharing or trading system where the prosumer and consumer can trade their energies through a secure channel or network. Furthermore, the service management functionalities such as security, reliability, flexibility, and scalability are achieved through the implementation. \\ This thesis is focused on the current proposals for p2p energy trading using blockchain and how to select a suitable blockchain technique to implement such a p2p energy trading network. In addition, we provide an implementation of such a secure network under blockchain and proper management functions. The choices of the system models, blockchain technology, and the consensus algorithm are based on literature review, and it carried to an experimental implementation where the feasibility of that system model has been validated through the output results.

In this thesis, we consider stochastic systems which arise in different real-world application contexts. The first problem we consider is based on product adoption and pricing. A monopolist selling a product has to appropriately price the product over time in order to maximize the aggregated profit. The demand for a product is uncertain and is influenced by a number of factors, some of which are price, advertising, and product technology. We study the influence of price on the demand of a product and also how demand affects future prices. Our approach involves mathematically modelling the variation in demand as a function of price and current sales. We present a simulation-based algorithm for computing the optimal price path of a product for a given period of time. The algorithm we propose uses a smoothed-functional based performance gradient descent method to find a price sequence which maximizes the total profit over a planning horizon. The second system we consider is in the domain of sensor networks. A sensor network is a collection of autonomous nodes, each of which senses the environment. Sensor nodes use energy for sensing and communication related tasks. We consider the problem of finding optimal energy sharing policies that maximize the network performance of a system comprising of multiple sensor nodes and a single energy harvesting(EH) source. Nodes periodically sense a random field and generate data, which is stored in their respective data queues. The EH source harnesses energy from ambient energy sources and the generated energy is stored in a buffer. The nodes require energy for transmission of data and and they receive the energy for this purpose from the EH source. There is a need for efficiently sharing the stored energy in the EH source among the nodes in the system, in order to minimize average delay of data transmission over the long run. We formulate this problem in the framework of average cost infinite-horizon Markov Decision Processes[3],[7]and provide algorithms for the same.

Au sein des discours accompagnant les volontés de transition énergétique, apparaît de manière grandissante une promotion de circulations d’énergie à des échelles infra-urbaines entre des activités diverses. Des acteurs locaux, nationaux ou transnationaux proposent par exemple de valoriser la chaleur dite « fatale », produite par de multiples activités (industries, data centers, eaux usées …). Parallèlement, on promeut le partage de productions d’énergie décentralisées entre différentes fonctions (résidentiel, tertiaire, commercial …) à des échelles allant de l’îlot au quartier. En somme, des formes de connexion entre activités urbaines pour échanger de l’énergie sont promues et les exemples de mise en œuvre se multiplient.Cette thèse propose de saisir ces connexions comme des nouvelles formes de réseaux urbains, qui se substituent ou se superposent à un modèle de grand réseau centralisé plus que centenaire, fondé sur l’efficacité technico-économique, la solidarisation du territoire et la croissance des consommations. Elle vise à comprendre ce que change l’émergence de ces circulations locales à la co-construction de la ville et des réseaux d’énergie.Pour saisir ces transformations, la thèse combine les apports de deux ensembles de travaux. D’un côté, les recherches urbaines et sociotechniques sur les réseaux permettent de saisir les reconfigurations de ces infrastructures. D’un autre, le champ de l’écologie industrielle et territoriale analyse les dynamiques qui mènent à des échanges de flux matériels entre activités humaines. La combinaison de leurs résultats permet ainsi de saisir l’objet considéré dans ses dimensions sociale, technique et métabolique, c’est-à-dire dans une perspective sociomatérielle.L’analyse se fonde principalement sur trois études de cas dont on s’attache à comprendre l’émergence, le fonctionnement et l’évolution : l’approvisionnement du réseau de chaleur de Dunkerque par une source de chaleur industrielle, la récupération de chaleur sur un data center pour approvisionner un quartier de Marne-la-Vallée et la mutualisation des productions d’énergie dans le quartier de La Confluence à Lyon. Plus largement, un regard est porté sur les reconfigurations concrètes ou proposées de l’organisation de la chaîne d’approvisionnement énergétique à la ville.Les résultats de la thèse sont de trois ordres. En premier lieu, ces mises en réseau ne sont plus motivées par la seule efficacité technico-économique de la forme réticulaire pour l’approvisionnement du territoire. Les intérêts des différents acteurs impliqués ont tous à voir avec un objectif d’optimisation de l’usage des flux : on passe ainsi d’une recherche d’efficacité technico-économique à celle d’une efficacité métabolique. En second lieu, les réseaux qui émergent de ces échanges sont instables, tout particulièrement en raison des incertitudes quant à l’évolution à court et à long terme des flux disponibles. Ainsi, ils ne reproduisent pas l’effet solidarisant permis par la stabilité des grands réseaux conventionnels. Enfin, face à ces instabilités, les acteurs proposent des évolutions qui visent à réduire les dépendances à des flux incertains. Ces évolutions ont pour caractéristique de s’appuyer sur une croissance du réseau qui ne suit plus un objectif d’universalisation. Au contraire, une forte sélection spatiale de l’extension du réseau est opérée, en fonction de la matérialité des flux perçue par les acteurs. Plutôt que d’engendrer de nouvelles consommations dans une logique d’offre, il s’agit ainsi d’intégrer de nouveaux flux déjà présents sur le territoire.En somme, la thèse montre un certain « tournant métabolique » dans le processus de mise en réseau de la ville par l’énergie. Alors que l’extension des infrastructures est pendant longtemps restée au centre des problématiques de construction des réseaux, les flux produits et consommés qui préexistent sur le territoire peuvent à présent être la motivation première de la création de connexions / Within the framework of the ongoing energy transition objectives, energy circulations at the infra-urban level are increasingly promoted. For instance, local, national and transnational stakeholders suggest the reuse of heat currently being wasted by diverse human activities (industries, data centres, wastewaters …). Alternatively, distributed energy sharing between different urban functions (residential, services, retail …) at the urban block or district scale is promoted. In short, several forms of connections through energy exchange between urban activities are encouraged and examples of those are multiplying.The thesis offers to capture those connections as new forms of urban networks that supersede or overlap a century-old network model based on techno-economic efficiency, socio-economic and socio-spatial solidarity and consumptions growth. It aims at understanding what these local circulations change to the co-construction of cities and energy networks.To do so, the approach combines the results of two different strands of work. On the one side, urban and sociotechnical studies of networked infrastructures allow to understand the reconfigurations of those systems. On the other side, industrial ecology works analyse the dynamics that lead to material circulations between human activities. The articulation of their results makes it possible to grasp the considered object in its social, technical and metabolic dimensions, that is, in a sociomaterial perspective.The analysis is mainly based on three French case studies of which the emergence, running and evolution are investigated: industrial waste heat reuse in the heat network of the city of Dunkirk, heat extraction from a data center to be distributes the in a district of Marne-la-Vallée and energy sharing in the La Confluence district in Lyon. More broadly, suggested or implemented reconfigurations of the organisation of energy provision are reviewed.The results of the study are threefold. First, these new forms of urban network are not solely motivated by techno-economic efficiency. The interests of the stakeholders all come into alignment with an objective of optimization of energy flows uses: from techno-economic efficiency, the goal becomes metabolic efficiency. Second, the networks formed by those circulations are unstable, in particular because of the uncertainties that regard short and long term availability of energy flows. Hence, they do not reproduce the solidarities that emerge from conventional large and stable networks. Third, to reduce those instabilities, actors suggest evolutions that aim at reducing their dependencies on uncertain flows. These evolutions all result in the growth of the network, but do not follow an objective of universalisation. On the contrary, an important spatial selection is operated, according to the perceived materiality of flows by actors. Instead of leading to new consumptions in a supply rationale, the logic becomes one of existing flows integration.To sum up, the thesis shows a “metabolic turn” in the process of networking the urban through energy circulations. While infrastructures extension has long been at the centre of networks construction, pre-existing produced and consumed flows can now become the primary motivation of building connections

<div>Combining rooftop solar with energy storage for off-grid residential operation is restrictively expensive. Historically, operating off-grid requires an 'isolated self-consumption' operating strategy where any excess generation is wasted and to ensure reliability you must install costly, polluting generators or a large amount of energy storage. With the advent of Blockchain technology residents can come together and establish transactive microgrids which have two possible operating strategies: Centralized Energy Sharing (CES) and Interconnected Energy Sharing (IES). The CES strategy proposes that all systems combine their photovoltaic (PV) generation and energy storage systems (ESS) to meet their loads. IES strategy establishes an energy trading system between stand-alone systems which allows buying energy when battery capacity is empty and selling energy when battery capacity is full. Transactive microgrids have been investigated analytically by several sources, none of which consider year-round off-grid operation.</div><div> </div><div>A simulation tool was developed through MATLAB for comparing the three operating strategies: isolated self-consumption, CES, and IES. This simulation tool could easily be incorporated into existing software such as HOMER. </div><div><br></div><div>The effect of several variables on total cost was tested including interconnection type, initial charge, load variability, starting month, number of stand-alone systems, geographic location, and required reliability.</div><div> </div><div>It was found that the CES strategy improves initial cost by 7\% to 10\% compared to the baseline (isolated self-consumption) and IES cases in every simulation. The IES case consistently saved money compared to the baseline, just by a very small amount (less than 1\%). Initial charge was investigated for March, July, and November and was only found to have an effect in November. More research should be done to show the effect of initial charge for every month of the year. Load variability had inconsistent results between the two geographic locations studied, Indianapolis and San Antonio. This result would be improved with an improved load simulation which includes peak shifting. The number of systems did not have a demonstrable effect, giving the same cost whether there were 2 systems or 50 involved in the trading strategies. It may be that only one other system is necessary to receive the benefits from a transactive microgrid. Geographic locations studied (Indianapolis, Indiana; Phoenix, Arizona; Little Rock, Arkansas; and Erie, Pennsylvania) showed a large effect on the total cost with Phoenix being considerably cheaper than any other location and Erie having the highest cost. This result was expected due to each geographic location's load and solar radiation profiles. Required reliability showed a consistent and predictable effect with cost going down as the requirement relaxed and more hours of outage were allowed. </div><div><br></div><div>In order to accomplish off-grid operation with favorable economics it is likely that a system will need to reduce its reliability requirement, adopt energy saving consumption habits, choose a favorable geographic location, and either establish a transactive microgrid or include secondary energy generation and/or storage. </div>

World energy systems are going through a continuous change. The focus has been shifted from large thermal or hydal power generation to small distributed generation, mainly based upon renewable energy systems. This transition is also backed by some governments. There have also been significant improvements in grid technology, and modern-day smart grid can provide real time bi-directional flow of data i.e. “real time energy deficit and surplus, and also real time prices to both producers and consumers. Smart grid can also accommodate intermittent small suppliers of electricity. This shift in energy generation policy and improvement in grid technology has opened ways for small scale energy producers and consumers to share energy with each other. It has also opened ways to purchase or sale energy to unknown peers over a smart grid. Need has been felt to store these transactions among peers in a secure, non-alterable yet quickly accessible way. Blockchain technology offers to provide this secure, unalterable yet quickly accessible ledger. In this study this transition process and role of blockchain technology for future energy systems has been historically reviewed. It has been found out that on top of keeping record of Peer to Peer transactions, blockchain technology can fill many other purposes. However, technology is still not matured for large scale projects, Research projects are underway to decrease the large time and energy consumption for block building computational processes yet keeping them safe and reliable.

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)

The use of renewable energy has proven to be essential for the decarbonisation of the energy system, bringing changes on both the production and consumption side, with an increase of renewable energy in the mix and a change in the role of consumers. From passive actors, Consumers are becoming Prosumers (producers and consumers) of self-generated energy, with the potential of becoming the pillar of the energy sector transition. The European Union set ambitious goals for the realization of a low carbon society by 2050, giving birth to several energy related initiatives. From a regulatory perspective, Europe is indeed paving the way for an internal energy market revolution, that sees the introduction of new actors among which, Local Energy Communities (LEC). In the progressive transition from a centralized to a decentralized system with intelligent and interconnected production sources, consumers are allowed to produce, store, share or resell their energy directly or as energy cooperatives, and can manage demand either independently or through aggregators. In this context Energy Communities take shape. In accordance with the definition given in the European RED directive "Renewable Energy Directive", this study refers to energy communities as a set of energy users who, through cooperatives, non-profit associations, or other legal forms, make common decisions for the satisfaction of their energy needs, with the aim of providing environmental, social and economic benefits. The overall objective of the study is to gain a better understanding of the environmental, grid and social impacts of local energy communities, as well as of the factors that can potentially enable or inhibit the deployment of such communities. The emergence of prosumers and energy communities raise new challenges in terms of technologies and technical requirements for the interaction with the electricity grid, in terms of the need for new business models and new energy policies and regulatory framework, to encourage these new configurations and unlock their benefits as effectively as possible. In the context of this work, a model for the assessment of LECs viability has been built; it examines the consumption and renewable generation loads, with the possibility to measure the effects of adding a battery storage system in the community configuration. The profitability of residential customers participating in a LEC is investigated for four different technological community scenario: (i) solely stand-alone PV plant (ii) stand-alone PV plant with the addition of a solar battery for self-consumption maximization (iii) stand-alone PV plant with the addition of a battery storage system for Demand Side Management behind-the-meter and (iv) stand-alone PV plant with the addition of a battery storage system for Demand Side Management front-of-the-meter. The economic impact of storage on LEC energy usage has been studied while considering the technical aspects of the proposed system. The simulation analysis – based on real residential demand profiles, renewable generation curves, battery energy storage functioning, market pricing and incentives scheme, showed that energy sharing and collective investment in residential scale renewable assets and batteries can be economically feasible, but the economics can significantly fluctuate with changes in parameters such as technology cost, LECs incentives, electricity prices, and that therefore the convenience of one scenario over the others should be verified each time the conditions change. Also, the type of services for which the battery can get revenues may disrupt the conclusions reached. The aim of the work, however, was to build a model easily adaptable to the variation of these parameters, in order to calculate case by case economics and convenience of any possible community configuration. / Användningen av förnybar energi har visat sig vara avgörande för att minska koldioxidutsläppen från energisystemet, vilket medför förändringar både på produktions- och konsumtionssidan, med en ökad andel förnybar energi i mixen och en förändrad roll för konsumenterna. Från att ha varit passiva aktörer blir konsumenterna nu Prosumers, producenter och konsumenter av egenproducerad energi, med potential att bli en pelare i övergången inom energisektorn. Europeiska unionen har satt upp ambitiösa mål om att förverkliga ett samhälle med låga koldioxidutsläpp senast 2050, vilket har gett upphov till flera energirelaterade initiativ. Ur ett regleringsperspektiv banar Europa verkligen väg för en revolution på den inre energimarknaden, där nya aktörer kommer att introduceras, bland annat lokala energikommuner. I den gradvisa övergången från ett centraliserat till ett decentraliserat system med intelligenta och sammankopplade produktionskällor får konsumenterna producera, lagra, dela eller sälja sin energi direkt eller som energikooperativ, och de kan hantera efterfrågan antingen självständigt eller genom aggregatorer. I detta sammanhang tar energisamhällen form. I enlighet med definitionen i det europeiska direktivet om förnybar energi i den här studien avses med energisamhällen en grupp energianvändare som genom kooperativ, ideella föreningar eller andra juridiska former fattar gemensamma beslut för att tillgodose sina energibehov, i syfte att skapa miljömässiga, sociala och ekonomiska fördelar. Det övergripande målet med studien är att få en bättre förståelse för de miljömässiga, nätmässiga och sociala konsekvenserna av lokala energisamhällen, samt för de faktorer som kan möjliggöra eller hindra införandet av sådana samhällen. Framväxten av prosumenter och energisamhällen ger upphov till nya utmaningar när det gäller teknik och tekniska krav för samverkan med elnätet, när det gäller behovet av nya affärsmodeller och ny energipolitik och regelverk för att uppmuntra dessa nya konfigurationer och frigöra deras fördelar på ett så effektivt sätt som möjligt. Inom ramen för detta arbete har en modell för bedömning av LECs lönsamhet byggts upp. Den undersöker förbrukning och belastning från förnybar produktion, med möjlighet att mäta effekterna av att lägga till ett batterilagringssystem i samhällskonfigurationen. Lönsamheten för privatkunders deltagande i ett LEC undersöks för fyra olika tekniska samhällsscenarier: (i) enbart fristående solcellsanläggning, (ii) fristående solcellsanläggning med tillägg av ett solcellsbatteri för maximering av självförbrukningen, (iii) fristående solcellsanläggning med tillägg av ett batterilagringssystem för styrning av efterfrågan bakom mätaren och (iv) fristående solcellsanläggning med tillägg av ett batterilagringssystem för styrning av efterfrågan framför mätaren. Lagringens ekonomiska inverkan på LECs energianvändning har studerats samtidigt som de tekniska aspekterna av det föreslagna systemet har beaktats. Simuleringsanalysen - som i skrivande stund bygger på verkliga efterfrågeprofiler för bostäder, kurvor för förnybar produktion, batterilagringens funktion, marknadens prissättning och incitamentssystem - visade att energidelning och kollektiva investeringar i förnybara tillgångar och batterier i bostadsområden kan vara ekonomiskt genomförbara, men att ekonomin kan fluktuera avsevärt med förändringar i parametrar som teknikkostnader, incitament för LEC:s och elpriser, och att det därför är lämpligt att kontrollera om det är fördelaktigt att välja ett scenario framför de andra varje gång förhållandena förändras. Även den typ av tjänster som batteriet kan få intäkter för kan påverka de slutsatser som dras. Syftet med arbetet var dock att bygga en modell som lätt kan anpassas till variationen av dessa parametrar, för att från fall till fall beräkna ekonomin och bekvämligheten hos alla möjliga konfigurationer av samhället.

This aim of task deals with study of heat dissipation mechanisms and the description of physical phenomena, which is accompanied by non-stationary measurement of thermal characteristics by the method "hot-wire method". In particular, we observe the coefficient of thermal conductivity and its dependence on various variables such as the temperature of the measured sample, its moisture state, the volume of the sample and its porosity. The above mentioned findings are used for the invention of the measuring device of a nonstationary gauge, which is based on regular heating and is dedicated to measuring the thermal conductivity coefficient and the heat capacity by the "hot-wire method" method. In the last part of the thesis is verified functionality of the proposed measuring device, the suitability of the created algorithm for the processing of the measured data and the evaluation of the results was verified. The reproducibility of the measurements was verified and the measured results were compared with the measurement methods, which are commonly used. the influence of humidity on the coefficient of thermal conductivity.