Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies

Comodi, Gabriele; Giantomassi, Andrea; Severini, Marco; Squartini, Stefano; Ferracuti, Francesco; Fonti, Alessandro; Cesarini, Davide Nardi; Morodo, Matteo; Polonara, Fabio

doi:10.1016/j.apenergy.2014.07.068

Cited by 204 publications

(101 citation statements)

References 37 publications

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“…Emission impact analyses would be worthwhile to investigate in the future, in order to compare the emission impact incurred by different storage dispatch strategies and varying storage technologies. Furthermore, some research has developed and optimized storage dispatch strategies at the community level [58] and for multiple-unit apartments buildings [59]. Similarly, the present work may be extended to such settings as well.…”

Section: Future Workmentioning

confidence: 99%

Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving

2015

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Section: Future Workmentioning

confidence: 99%

Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving

2015

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“…This applies especially to the storage units, without which these self-sufficiency levels could not be reached (e.g. Comodi et al 2015, Orehouning et al 2015. The assertion in the literature, that the currently high specific investment in batteries is a constraining factor for their deployment is confirmed here at the building level.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…This study does not analyse battery storage options. Comodi et al (2015) analyse a multi-apartment residential microgrid by comparing different energy management approaches in terms of overall costs. The microgrid consists of six apartments, a 20 kW p photovoltaic plant, a solar based thermal energy plant, a geothermal heat pump, a thermal energy storage and two 5.8 kWh batteries.…”

Section: Individual Buildingsmentioning

confidence: 99%

Energy autonomy in residential buildings: A techno-economic model-based analysis of the scale effects

2017

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An increasingly decentralized energy supply structure alongside economic incentives for increasing the level of self-generation and -consumption are encouraging (higher levels of) energy autonomy. Previous work in this area has focused on the technical and economic aspects of energy autonomy at distinct scales, from individual buildings, through neighbourhoods to districts. This paper employs a mixed integer linear program (MILP) to assess the effects of aggregation across these scales on the economics of energy autonomy in residential buildings. The model minimizes total energy system costs over the lifetime of the energy system, including micro-CHP, PV, thermal and electrical storage, and boilers, at five distinct scales and for nine demand cases. It is subject to several constraints, amongst other things the degree of electrical self-sufficiency. The results indicate a shift in the economically optimal level of electrical self-sufficiency with scale, which in Single Family Households (SFHs) means from around 30% at the individual building level to almost 100% in districts of 1000 SFH households. Above around 560 households it could be economically advantageous to make a district of residential buildings electrically self-sufficient. In addition, a marginal increase in electrical self-sufficiency is significantly more expensive at lower aggregation scales (i.e. single buildings) compared to the scale of neighbourhoods and districts. The level of interaction with the electrical distribution network increases with increasing electrical self-sufficiency before then decreasing at very high (above 70%) levels. Future work should focus on a richer socioeconomic differentiation, considering other sectors and technologies, incorporating demand side options and analysing the effects on the overarching energy system. AbstractAn increasingly decentralized energy supply structure alongside economic incentives for increasing the level of self-generation and -consumption are encouraging (higher levels of) energy autonomy. Previous work in this area has focused on the technical and economic aspects of energy autonomy at distinct scales, from individual buildings, through neighbourhoods to districts. This paper employs a mixed integer linear program (MILP) to assess the effects of aggregation across these scales on the economics of energy autonomy in residential buildings. The model minimizes total energy system costs over the lifetime of the energy system, including micro-CHP, PV, thermal and electrical storage, and boilers, at five distinct scales and for nine demand cases. It is subject to several constraints, amongst other things the degree of electrical self-sufficiency. The results indicate a shift in the economically optimal level of electrical self-sufficiency with scale, which in Single Family Households (SFHs) means from around 30% at the individual building level to almost 100% in districts of 1000 SFH households. Above around 560 households it could be economically advantageous to make a district of residential b...

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“…With respect to the previous works [26,37], the structure of the framework and the simulation algorithm remain unchanged; therefore, those aspects are not discussed in the present manuscript.…”

Section: Modelling Approachmentioning

confidence: 97%

Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments

et al. 2017

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Although photovoltaic power plants are suitable local energy sources in Micro Grid environments, when large plants are involved, partial shading and inaccurate modelling of the plant can affect both the design of the Micro Grid as well as the energy management process that allows for lowering the overall Micro Grid demand towards the main grid. To investigate the issue, a Photovoltaic Plant simulation model, based on a real life power plant, and an energy management system, based on a real life Micro Grid environment, have been integrated to evaluate the performance of a Micro Grid under partial shading conditions. Using a baseline energy production model as a reference, the energy demand of the Micro Grid has been computed in sunny and partial shading conditions. The experiments reveal that an estimation based on a simplified PV model can exceed by 65% the actual production. With regards to Micro Grid design, on sunny days, the expected costs, based on a simplified PV model, can be 5.5% lower than the cost based on the double inverter model. In single cloud scenarios, the underrating can reach 28.3%. With regard to the management process, if the energy yield is estimated by means of a simplified PV model, the actual cost can be from 17.1% to 21.5% higher than the theoretical cost expected at design time.

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Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies

Cited by 204 publications

References 37 publications

Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving

Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving

Energy autonomy in residential buildings: A techno-economic model-based analysis of the scale effects

Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments

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