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This study focuses on the design of an energy community in the Hauts-Sarts business park. The current assets in the potential community are 1150 kWp of PV panels, for a total consumption of 22 GWh per year. The main objectives of the community are to offer savings on the energy bill of its members, increase the integration of renewable energy sources into the grid and reduce the CO2 emissions of the community. The design is centered around two main aspects: an internal market model and an optimal sizing model. The internal market model is formulated as a MILP optimization model maximizing the annual profit realized by entities trading in the community and in the wholesale market. The price in the community can be fixed to incentivize investments, or dynamic to redistribute the gains of the community. Two optimization models returning the sizing maximizing the NPV of the community are also developed: one is a MILP optimization problem, returning the exact solution to the problem, and the other is a greedy method returning an optimized realistic sequence of investments in the community. The greedy method leads to a slightly lower PV sizing than the MILP model. The study showed that between 2000 kWp and 3000 kWp of additional PV panels as well as a 2200 kWp wind turbine have to be installed to maximize the NPV of the community, depending on the organizational choices of the community. In general, these choices consist in a trade-off between a fair redistribution of the savings of the community and incentives to increase the production capacity. The fixed costs associated with the operation of the community may sometimes be a barrier for the smallest consumers, but overall the community was able to reduce its costs over 20 years by 20% by installing additional production capacity and operating in a community.

energy communities --- internal energy market --- production capacity sizing --- Ingénierie, informatique & technologie > Energie

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In our modern days, data collection and data analysis are keys to long term value creation for companies. This is especially true for the ESCO (or Energy Service Companies) due to the ongoing evolution of the meters and the ease of access to computing power.

The French government is developing smart meters and is actively trying to set them up everywhere around its country. Several major players are expected to play a role in the upcoming changes but some are still lacking the will to participate. Data management has never been more advanced on the energy market and thus, lots of opportunities are opening up for any ESCO.

This project-thesis aims to analyze the French energy market and develop a price comparison tool so that any citizens can compare the different offers from the suppliers. Moreover, some theoretical aspects of the consumer’s behavior will be highlighted as it detains some peculiarities that find its source in the history of the French energy market. This paper also produces a bill of specifications so that the company can launch its tool. An important part of the work will be about how to incorporate some value creation into the business process analysis by designing and trying to optimize those processes. And finally, the last part is a presentation of the business model with a discussion over its ethical issues and the responsibilities of the management.

On top of that, this project-thesis will try to create a conversation about how to collect data from energy consumers and how to analyze it. What would be the future opportunities that an ESCO could face in terms of data management and how it would apply to a price comparison tool?

Business Process --- Data Analysis --- Data Management --- Energy Market --- ESCO --- Market Analysis --- Price Comparison Tool --- France --- SME --- Sciences économiques & de gestion > Marketing

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This open access book analyzes the transition toward a low-carbon energy system in Europe under the aspects of flexibility and technological progress. By covering the main energy sectors – including the industry, residential, tertiary and transport sector as well as the heating and electricity sector – the analysis assesses flexibility requirements in a cross-sectoral energy system with high shares of renewable energies. The contributing authors – all European energy experts – apply models and tools from various research fields, including techno-economic learning, fundamental energy system modeling, and environmental and social life cycle as well as health impact assessment, to develop an innovative and comprehensive energy models system (EMS). Moreover, the contributions examine renewable penetrations and their contributions to climate change mitigation, and the impacts of available technologies on the energy system. Given its scope, the book appeals to researchers studying energy systems and markets, professionals and policymakers of the energy industry and readers interested in the transformation to a low-carbon energy system in Europe.

Environmental economics --- Energy technology & engineering --- Public administration --- Electrical engineering --- Natural Resource and Energy Economics --- Energy Policy, Economics and Management --- Public Policy --- Power Electronics, Electrical Machines and Networks --- Energy System Transformation --- Energy Grids and Networks --- Energy system analysis --- Renewable energy --- Life cycle assessment --- Technological learing --- Energy system models --- Energy market models --- Climate change --- Low-carbon energy system --- Strategic energy technology plan of the European Commission --- Open Access --- Energy industries & utilities

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The sustainable development of our planet depends on the use of energy. The growing population of the world inevitably causes an increase in the demand for energy, which, on the one hand, threatens the potential for shortages of energy supply, and, on the other hand, causes the deterioration of the environment.Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play a role in affecting the behavior of households and companies, by causing behavioral change oriented to energy stewardship, and an overall switch to renewable energy resources. This book provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate the driving of societies to long-term energy efficiency.

Research & information: general --- renewable energy sources --- electricity --- GDP per capita --- business risks --- gas trading companies --- liberalized energy market --- analytical hierarchy process (AHP) --- sustainable development --- renewable energy --- greenhouse gas emissions --- green investments --- energy security --- pro-environmental behavior --- energy usage --- military energy behavior --- behavioral change --- COM-B --- collective behavior --- conscripts --- professional soldiers --- low-cost carrier --- development --- airline industry --- airline issues --- transport industry --- industry growth --- costs --- energy management --- energy efficiency --- Kazakhstan --- energy consumption --- European Union --- R&amp --- D investment --- financially sustainable performance --- executive incentive --- endogenous relationship --- energy enterprises

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This book focuses on the recent development of forecasting and risk management techniques for electricity markets. In addition, we discuss research on new trading platforms and environments using blockchain-based peer-to-peer (P2P) markets and computer agents. The book consists of two parts. The first part is entitled “Forecasting and Risk Management Techniques” and contains five chapters related to weather and electricity derivatives, and load and price forecasting for supporting electricity trading. The second part is entitled “Peer-to-Peer (P2P) Electricity Trading System and Strategy” and contains the following five chapters related to the feasibility and enhancement of P2P energy trading from various aspects.

Technology: general issues --- History of engineering & technology --- electricity markets --- non-parametric regression --- minimum variance hedge --- spline basis functions --- cyclic cubic spline --- weather derivatives --- n/a --- distributed energy resources (DER) --- P2P energy trading --- cooperative mechanism --- renewable energy --- multi agent system --- blockchain --- cashflow management of electricity businesses --- electricity derivatives and forwards --- retailers and power producers --- solar power and thermal energy --- optimal hedging using nonparametric techniques --- empirical simulations --- peer-to-peer energy trading --- distributed energy resources --- microgrid --- digital grid --- bidding strategy --- electricity price --- electricity load --- electricity price forecasting --- wind energy --- day-ahead market --- intra-day market --- balancing power market --- peer to peer energy market --- hardware control --- demonstration experiment --- home energy management systems --- electric vehicles --- bidding agent --- electric vehicle --- functional autoregressive model --- functional principle component analysis --- vector autoregressive model --- functional final prediction error (FFPE) --- naive method --- P2P electricity market --- market maker --- liquidity --- price fluctuation --- artificial market simulation