The current momentum towards a globally recognised need for an environmentally sustainable, reliable, and decentralised energy community is prompting the scientific community to explore innovative layouts for multi-energy systems designed for high decarbonisation. The intricacy of highly integrated systems lies in the strategic selection of optimal capacities for components and determining the requirements for electricity, cooling, and heating. Unlike traditional fossil-based centralised distribution, which remains unaffected by renewable intermittencies, decentralised energy communities striving for high decarbonization must address the variability of renewables and end-user demands, both in the short and long term. To tackle this challenge, the scientific community is actively incorporating various energy storage technologies into energy communities. However, selecting the most suitable technology and determining the optimal capacity necessitates advanced optimization tools capable of simulating years of system operations. This simulation should include stochastic factors affecting prices, costs, and compliance with carbon taxes and regulations and consider the variability of the end-user load demands. Especially looking at this aspect, the authors have proposed a designing (Master-Planning) procedure based on the well-established commercial software EnergyPlan to properly define the Distributed Energy Community configuration, both on the demand and supply sides. In this paper, the authors showcase a real application in the Mediterranean Tropic region, conducting a sensitivity analysis on the impact of environmental policies and installed components on the overall system design. The results show different trends in self-consumption and self-sufficiency, highlighting how a more advanced system configuration, equipped with Heat Pumps & Energy Storage fed by green electrons, allows for up 5 months (summer period) of 100% Self-Sufficiency and consequent low-in order of 20-25% Self-Consumption for the same period. More details on the load demands, nominal system capacity and CO2 reduction potential are described in the result section, presenting up to 25% CO2 emission reduction when 100 % heat pumps are introduced.
Gambini, M., Vellini, M., Mazzoni, S. (2024). An Innovative Approach to Design and Operate Distributed Energy Community in the Roadmap Towards Decarbonization. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? 19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Rome.
An Innovative Approach to Design and Operate Distributed Energy Community in the Roadmap Towards Decarbonization
Gambini M.Conceptualization
;Vellini M.Methodology
;Mazzoni S.Writing – Original Draft Preparation
2024-01-01
Abstract
The current momentum towards a globally recognised need for an environmentally sustainable, reliable, and decentralised energy community is prompting the scientific community to explore innovative layouts for multi-energy systems designed for high decarbonisation. The intricacy of highly integrated systems lies in the strategic selection of optimal capacities for components and determining the requirements for electricity, cooling, and heating. Unlike traditional fossil-based centralised distribution, which remains unaffected by renewable intermittencies, decentralised energy communities striving for high decarbonization must address the variability of renewables and end-user demands, both in the short and long term. To tackle this challenge, the scientific community is actively incorporating various energy storage technologies into energy communities. However, selecting the most suitable technology and determining the optimal capacity necessitates advanced optimization tools capable of simulating years of system operations. This simulation should include stochastic factors affecting prices, costs, and compliance with carbon taxes and regulations and consider the variability of the end-user load demands. Especially looking at this aspect, the authors have proposed a designing (Master-Planning) procedure based on the well-established commercial software EnergyPlan to properly define the Distributed Energy Community configuration, both on the demand and supply sides. In this paper, the authors showcase a real application in the Mediterranean Tropic region, conducting a sensitivity analysis on the impact of environmental policies and installed components on the overall system design. The results show different trends in self-consumption and self-sufficiency, highlighting how a more advanced system configuration, equipped with Heat Pumps & Energy Storage fed by green electrons, allows for up 5 months (summer period) of 100% Self-Sufficiency and consequent low-in order of 20-25% Self-Consumption for the same period. More details on the load demands, nominal system capacity and CO2 reduction potential are described in the result section, presenting up to 25% CO2 emission reduction when 100 % heat pumps are introduced.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
