Modeling and design of Net ZEBs as integrated energy systems

Athienitis, Andreas; Cellura, Maurizio; Chen, Yuxiang; Delisle, Véronique; Bourdoukan, Paul; Kapsis, Konstantinos

doi:10.1002/9783433604625.ch02

Cited by 8 publications

(6 citation statements)

References 42 publications

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“…It requires 1) knowledge of the application and its physics and 2) a coherent choice of significant inputs and outputs (Abtahi et al, 2021). Common simplifications in loworder gray-box archetypes to facilitate the representation of buildings' thermal dynamics are 1) linearization of heat transfer coefficients, 2) temporal discretization, and 3) reduction of spatial dimensions, also known as zoning (Athienitis & O'Brien, 2015). Essentially, an ideal gray-box model is the simplest one that describes all the dominant patterns and information embedded in the measurements (Bacher & Madsen, 2011).…”

Section: Literature Review and Objectivementioning

confidence: 99%

Archetype Building Energy Models for Residential Sector: Importance of Uncontrolled Inputs in Predictive Control and Energy Flexibility

Abtahi,

Athienitis,

Delcroix

2023

J. Phys.: Conf. Ser.

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A 1st-order gray-box archetype is developed using high-quality measurements from an unoccupied experimental house to investigate the sensitivity of economic model-based predictive control performance under Québec’s dynamic electricity tariff for the residential sector, rate Flex-D, to uncertainty in the weather forecast. The archetype incorporates the outside air temperature and the solar gain as uncontrolled heat sources and has three parameters: the overall thermal capacitance, the thermal resistance to the outside air temperature, and the solar aperture. The performance of economic model-based predictive control is compared under the uncertain day-ahead forecast and the historical measurements of the same day. The results show that the most influential uncontrolled input directing the performance of economic model-based predictive control under rate Flex-D is the price signal, which makes the impact of uncertainty in the weather forecast almost negligible.

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Section: Literature Review and Objectivementioning

confidence: 99%

Archetype Building Energy Models for Residential Sector: Importance of Uncontrolled Inputs in Predictive Control and Energy Flexibility

Abtahi,

Athienitis,

Delcroix

2023

J. Phys.: Conf. Ser.

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“…Though the deployment of NZEB has been drawing the attraction of researchers for the last few decades, the lack of global and extensive frameworks to distinguish the NZEB and its requirements, especially the performance levels and the energy usage from the renewable energy resources is still notable (D'Agostino, 2015). This uncertainty has affected building design and all the associated factors such as energy generation and consumption, cost, thermal comfort, environmental impact, indoor air quality, etc (Athienitis and O'Brien, 2015). This wide range of interpretations along with the technological challenges regarding the operation and maintenance of technical tools create a barrier towards achieving the net-zero energy purposes at the building levels that leads to an additional strategy, for example, at the community scale.…”

Section: Introductionmentioning

confidence: 99%

Technological advancements towards the net-zero energy communities: A review on 23 case studies around the globe

et al. 2021

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“…In the case of NZEB, the EU Energy Performance in Buildings Directive [22] defines them as "a building that has a very high energy performance and the nearly zero or very low amount of energy required should be covered to a very significant extent by energy from renewable sources, including energy from renewable sources produced on-site or nearby". Normally, a period of one year is considered in order to cover the distinct meteorological conditions [23]. In line with Figure 3, if the global energy demand equals the amount of locally supplied energy, then one can have a net zero energy community (NZEC).…”

Section: Introductionmentioning

confidence: 99%

Energy Community Flexibility Solutions to Improve Users’ Wellbeing

2021

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Energy communities, mostly microgrid based, are a key stakeholder of modern electrical power grids. Operating a microgrid based energy community is a challenging topic due to the involved uncertainties, complexities and often conflicting objectives. The aim of this paper is to present a novel methodology demonstrating that energy community flexibility can contribute to each community member’s wellbeing when a grid fault occurs. A three-house energy community will be modelled considering as consumption sources non-controllable and controllable devices in each house. As power supply sources, PV systems installed in a community’s houses are considered, as well as the power obtained from main grid. Each house’s flexibility inside the community will be studied to improve the management of loads during a fault occurrence. Moreover, three different scenarios will be considered with different available power in the community. With these simulations, it was possible to understand that houses’ energy flexibility can be used under a fault situation, either to maintain the users’ wellbeing or to change the energy flow. Furthermore, energy flexibility can be used to create better energy price markets, to improve the resilience of the grid, or even to consider electrical vehicles’ connection to a community’s grid.

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Modeling and design of Net ZEBs as integrated energy systems

Cited by 8 publications

References 42 publications

Archetype Building Energy Models for Residential Sector: Importance of Uncontrolled Inputs in Predictive Control and Energy Flexibility

Archetype Building Energy Models for Residential Sector: Importance of Uncontrolled Inputs in Predictive Control and Energy Flexibility

Technological advancements towards the net-zero energy communities: A review on 23 case studies around the globe

Energy Community Flexibility Solutions to Improve Users’ Wellbeing

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