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A mixed-integer linear programming approach for the optimization of residential PV-battery energy storage system
Europe´s electricity sector is facing a major historical turning point shifting away from fossil fuels towards more sustainable energy sources and moving from vertically integrated public monopolies into competitive private companies in unbundled and liberalized markets. In this scenario consumers are expected to play a fundamental role in realising the full potential of the European energy market; the EU energy strategy, with new policy and regulatory initiatives, in fact, recognizes consumers and communities as a key driver of this process, encouraging them to take full ownership of the energy transition and empowering them to actively participate in the electricity market by generating, consuming and selling electricity back to the grid and interacting with other energy market participants. Citizens are in fact no longer restricted to the role of passive end-use consumers, but they are asked to be energy producers, or ‘prosumers’, representing an important contribution to global sustainability and helping to decarbonize the electricity sector. Furthermore, as well as allowing to increase the amount of renewable energy generation, they have the potential to reduce the energy supply-demand gap and electricity system losses and to provide opportunities for demand-side management and for an active grid support increasing grid reliability flexibility, and resiliency. To this end, distributed energy storage systems at the residential level have been identified as a priority technology to open up new possibilities for local flexibility solutions and participation in demand response, leading the energy transition towards new energy configurations, such as self-generation and self-consumption schemes and peer-to-peer selling of the self produced energy. Combining solar power generators and battery storage is one of the most common ways of reaching self-sufficiency in residential buildings by increasing the grid independence of individual households. Due to their cost and growth perspective, battery storage coupled to ...
A mixed-integer linear programming approach for the optimization of residential PV-battery energy storage system
Europe´s electricity sector is facing a major historical turning point shifting away from fossil fuels towards more sustainable energy sources and moving from vertically integrated public monopolies into competitive private companies in unbundled and liberalized markets. In this scenario consumers are expected to play a fundamental role in realising the full potential of the European energy market; the EU energy strategy, with new policy and regulatory initiatives, in fact, recognizes consumers and communities as a key driver of this process, encouraging them to take full ownership of the energy transition and empowering them to actively participate in the electricity market by generating, consuming and selling electricity back to the grid and interacting with other energy market participants. Citizens are in fact no longer restricted to the role of passive end-use consumers, but they are asked to be energy producers, or ‘prosumers’, representing an important contribution to global sustainability and helping to decarbonize the electricity sector. Furthermore, as well as allowing to increase the amount of renewable energy generation, they have the potential to reduce the energy supply-demand gap and electricity system losses and to provide opportunities for demand-side management and for an active grid support increasing grid reliability flexibility, and resiliency. To this end, distributed energy storage systems at the residential level have been identified as a priority technology to open up new possibilities for local flexibility solutions and participation in demand response, leading the energy transition towards new energy configurations, such as self-generation and self-consumption schemes and peer-to-peer selling of the self produced energy. Combining solar power generators and battery storage is one of the most common ways of reaching self-sufficiency in residential buildings by increasing the grid independence of individual households. Due to their cost and growth perspective, battery storage coupled to ...
A mixed-integer linear programming approach for the optimization of residential PV-battery energy storage system
LUCCHETTA, FRANCESCA (Autor:in) / Lucchetta, Francesca / CORSINI, Alessandro
07.02.2020
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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