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Dr. Giulia Mancò
Politecnico di Torino

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0 Energy
0 Heat Transfer
0 Optimization
0 Stirling engine
0 multi-energy systems

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Journal article
Published: 28 July 2021 in Energy
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Optimal operation of generation units is crucial when looking for reduction in energy consumption and carbon emissions in multi-energy systems (i.e. multiple generation sources, energy networks and storages). This work proposes an innovative optimization approach that can be applied to energy systems composed by multiple small units for the production and conversion of electricity, heating and cooling. The optimization is conducted acting on the operation of the production units, the capacity and operation of thermal storage units and the application of demand side management to the thermal network. The optimization procedure is based on a two-level approach, combining a genetic algorithm and a linear programming approach and including a physical model of the district heating network. Multiple scenarios corresponding with typical days are considered. An application to a realistic system, which is optimized assuming an economic objective function, is performed. Results show that thermal storage installation can reduce costs of about 1.5%, while its integration with demand-side management leads to a cost reduction up to 4% and allows reducing the storage size.

ACS Style

Martina Capone; Elisa Guelpa; Giulia Mancò; Vittorio Verda. Integration of storage and thermal demand response to unlock flexibility in district multi-energy systems. Energy 2021, 121601 .

AMA Style

Martina Capone, Elisa Guelpa, Giulia Mancò, Vittorio Verda. Integration of storage and thermal demand response to unlock flexibility in district multi-energy systems. Energy. 2021; ():121601.

Chicago/Turabian Style

Martina Capone; Elisa Guelpa; Giulia Mancò; Vittorio Verda. 2021. "Integration of storage and thermal demand response to unlock flexibility in district multi-energy systems." Energy , no. : 121601.

Journal article
Published: 11 February 2021 in Sustainability
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With the 2010/31/EU directive, all new buildings shall be nearly zero-energy buildings (nZEB) from 2020 onward, with the aim of strongly reducing the energy consumption related to the building sector. To achieve this goal, it is not sufficient to focus on the design of the building envelope; smart and efficient energy management is necessary. Moreover, to ensure the adoption of RES systems in the built environment, innovative technologies need to be further developed in order to increase their cost-effectiveness, energy efficiency and integration capability. This paper proposes a synthesis, design and operation optimization of an integrated multi-energy system composed of traditional and innovative renewable technologies, developed within the European project Re-COGNITION. A biogas-based micro cogeneration unit, lightweight glass-free photovoltaic modules, a passive variable geometry small wind turbine optimized for an urban environment and latent heat thermal storage based on phase change materials are some of the technologies developed within the Re-COGNITION project. The optimization problem is solved to contemporarily evaluate (a) the optimal design and (b) the optimal operations of the set of technologies considering both investment and operating costs, using mixed integer non-linear programming. The optimization is applied to the four pilots that are developed during the project, in various European cities (Turin (Italy), Corby (United Kingdom), Thessaloniki (Greece), Cluj-Napoca (Romania). Simulation results show that the development and optimal exploitation of new technologies through optimization strategies provide significant benefits in terms of cost (between 11% and 42%) and emissions (between 10% and 25%), managing building import/export energy and charge/discharge storage cycles.

ACS Style

Giulia Mancò; Elisa Guelpa; Alessandro Colangelo; Alessandro Virtuani; Tommaso Morbiato; Vittorio Verda. Innovative Renewable Technology Integration for Nearly Zero-Energy Buildings within the Re-COGNITION Project. Sustainability 2021, 13, 1938 .

AMA Style

Giulia Mancò, Elisa Guelpa, Alessandro Colangelo, Alessandro Virtuani, Tommaso Morbiato, Vittorio Verda. Innovative Renewable Technology Integration for Nearly Zero-Energy Buildings within the Re-COGNITION Project. Sustainability. 2021; 13 (4):1938.

Chicago/Turabian Style

Giulia Mancò; Elisa Guelpa; Alessandro Colangelo; Alessandro Virtuani; Tommaso Morbiato; Vittorio Verda. 2021. "Innovative Renewable Technology Integration for Nearly Zero-Energy Buildings within the Re-COGNITION Project." Sustainability 13, no. 4: 1938.

Journal article
Published: 16 December 2020 in Applied Sciences
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Nowadays, flexibility through energy storage constitutes a key feature for the optimal management of energy systems. Concerning thermal energy, Latent Heat Thermal Storage (LHTS) units are characterized by a significantly higher energy density with respect to sensible storage systems. For this reason, they represent an interesting solution where limited space is available. Nevertheless, their market development is limited by engineering issues and, most importantly, by scarce knowledge about LHTS integration in existing energy systems. This study presents a new modeling approach to quickly characterize the dynamic behavior of an LHTS unit. The thermal power released or absorbed by a LHTS module is expressed only as a function of the current and the initial state of charge. The proposed model allows simulating even partial charge and discharge processes. Results are fairly accurate when compared to a 2D finite volume model, although the computational effort is considerably lower. Summarizing, the proposed model could be used to investigate optimal LHTS control strategies at the system level. In this paper, two relevant case studies are presented: (a) the reduction of the morning thermal power peak in District Heating systems; and (b) the optimal energy supply schedule in multi-energy systems.

ACS Style

Alessandro Colangelo; Elisa Guelpa; Andrea Lanzini; Giulia Mancò; Vittorio Verda. Compact Model of Latent Heat Thermal Storage for Its Integration in Multi-Energy Systems. Applied Sciences 2020, 10, 8970 .

AMA Style

Alessandro Colangelo, Elisa Guelpa, Andrea Lanzini, Giulia Mancò, Vittorio Verda. Compact Model of Latent Heat Thermal Storage for Its Integration in Multi-Energy Systems. Applied Sciences. 2020; 10 (24):8970.

Chicago/Turabian Style

Alessandro Colangelo; Elisa Guelpa; Andrea Lanzini; Giulia Mancò; Vittorio Verda. 2020. "Compact Model of Latent Heat Thermal Storage for Its Integration in Multi-Energy Systems." Applied Sciences 10, no. 24: 8970.

Proceedings
Published: 11 September 2020 in Proceedings
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A crucial way to reach a future sustainable society concerns the path towards nearly zero-energy buildings because of large amounts of energy at stake. The present work proposes an approach for the optimal integration of small-scale technologies (renewable and traditional) to enhance the pathway of existing and inefficient buildings towards low-carbon systems in a cost–benefit effective manner. Operation optimization, as well as an innovative combined design, is investigated with the goal of selecting the capacity of the technologies to be installed depending on the expected operations. The renewable technologies are integrated with proper storage units, such as batteries and latent thermal storage, which allows for reducing the space required for the installation. Two different non-linear programming approaches are used with the aim of finding an optimal solution. The optimization allows for reducing operation costs of 22% for renewable energy sources (RES)-fed dwellings. The combined operation and design optimization lead to a reduction in installation and operating costs by 7%. In the analyzed case, the adoption of the advanced optimization approach shows that latent heat storage is more suitable to be installed than electric storage (−2.5% cost).

ACS Style

Elisa Guelpa; Giulia Mancò; Vittorio Verda. Optimal Integration of Renewable Sources and Latent Heat Storages for Nearly Zero-Energy Buildings. Proceedings 2020, 58, 35 .

AMA Style

Elisa Guelpa, Giulia Mancò, Vittorio Verda. Optimal Integration of Renewable Sources and Latent Heat Storages for Nearly Zero-Energy Buildings. Proceedings. 2020; 58 (1):35.

Chicago/Turabian Style

Elisa Guelpa; Giulia Mancò; Vittorio Verda. 2020. "Optimal Integration of Renewable Sources and Latent Heat Storages for Nearly Zero-Energy Buildings." Proceedings 58, no. 1: 35.