An agent-based approach to modeling zero energy communities

Mittal, Anuj; Krejci, Caroline C.; Dorneich, Michael C.; Fickes, David

doi:10.1016/j.solener.2019.08.040

Cited by 44 publications

(47 citation statements)

References 32 publications

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“…With the transition from vertically integrated utilities to deregulated electricity markets, power systems' complexity is increasing, namely because new rules and players are emerging and being implemented. Distributed generation (smart grid and microgrids) (Farhangi 2010), EVs (Tan, Ramachandaramurthy, and Yong 2016), consumption flexibility and DR processes (Faria, Spínola, and Vale 2016), large penetration of renewable-based generation (Calabria, Saraiva, and Rocha 2016), energy efficiency measures (Zhou et al 2016), and building energy management (Mittal et al 2019), among many others, contribute to the increasing management and operation complexity, the transmission and distribution networks and the interactions between traditional and new players. The uncertainties associated with the renewable-based generation, electricity market prices, energy consumption, or EVs are just a few examples of the increased sources of uncertainty and thus of complexity brought to the power and the energy sector.…”

Section: Abm In Power Systems -Literature Reviewmentioning

confidence: 99%

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Agent Based Models in Power Systems

Santos

Saraiva

2021

UPjeng

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In the last two decades, power systems have experienced several changes, mainly related to organizational and operational restructuring. The appearance of new actors contributes to developing new business models and modifies its traditional operation activities. As a direct result, there is a need for new control solutions and strategies to integrate these different players. Agent-Based Models (ABM) have been increasingly used to model complex systems since they are especially suited to model systems influenced by social interactions between flexible, autonomous, and proactive agents. This paper provides a review of the literature regarding ABM in power systems followed by an analysis in more detail regarding specific applications that are becoming relevant in this new paradigm.

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Section: Abm In Power Systems -Literature Reviewmentioning

confidence: 99%

“…An agent-based approach to model zero energy communities is described in Mittal et al (2019). This paper details a conceptual ABM for an urban neighborhood to predict the household level of adopting renewable energy behaviors in the presence of multiple options.…”

Section: Energy Communitiesmentioning

confidence: 99%

Agent Based Models in Power Systems

Santos

Saraiva

2021

UPjeng

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“…The profiles of User2, User3 and User4 in Figure 9 are both positive and negative. Profiles are positive during the daytime from 09:00 a.m. to 15:00 p.m. (9)(10)(11)(12)(13)(14)(15) as the local generation exceeds the local demand; they export power to the electricity grid for the entire interval 9-15 with the exception of short time intervals (i.e., lunch-time) during which the use of domestic appliances determines the inversion of the power flow at the meter.…”

Section: Energetic Analysis: Case0 None Electric Vehicle Bussiness mentioning

confidence: 99%

“…To this end, the economic benefits of the new business models for generating [8] and peer-to-peer exchanging energy [9] within the community are good levers. Energy communities, if local, better identify energy 2 of 18 needs and better manage energy exchanges in urban neighborhoods [10] and municipalities [11,12] as well, especially when the energy community operates the electrical distribution grids [13].…”

Section: Introductionmentioning

confidence: 99%

How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles

et al. 2020

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The 2018/2001/EU renewable energy directive (RED II) underlined the strategic role of energy communities in the EU transition process towards sustainable and renewable energy. In line with the path traced by RED II, this paper proposes a solution that may help local energy communities in increasing self-consumption. The proposed solution is based on the combination of smart metering and smart charging. A set of smart meters returns the profile of each member of the community with a time resolution of 5 s; the aggregator calculates the community profile and regulates the charging of electric vehicles accordingly. An experimental test is performed on a local community composed of four users, where the first is a consumer with a Nissan Leaf, whereas the remaining three users are prosumers with a photovoltaic generator mounted on the roof of their home. The results of the experimental test show the feasibility of the proposed solution and demonstrate its effectiveness in increasing self-consumption. The paper also calculates the subsidy that the community under investigation would receive if the current Italian incentive policies for renewables were extended to local energy communities; this subsidy is discussed in comparison with the subsidies that the three prosumers individually receive thanks to the net metering mechanism. This paper ends with an economic analysis and calculation of savings on bills when the four users create the local energy community and adopt the proposed combination of smart metering and smart charging.

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“…Energy communities could lead to the achievement of net-zero energy neighborhoods rather than buildings by increasing the self-consumption. Marique et al [11] and Mittal et al [12] have highlighted the opportunities of achieving zero-energy consumption by developing a framework for net-zero energy neighborhoods. In an energy consumption scenario analysis involving typical central European neighborhood typologies, Nematchoua et al (2021) have reported a 90% reduction of actual energy consumption at the neighborhood scale.…”

Section: Introductionmentioning

confidence: 99%

Enhancing PV Self-Consumption through Energy Communities in Heating-Dominated Climates

et al. 2021

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The European Union, in accordance with its decarbonization objectives, has enacted the Directive (EU) 2018/2001 and subsequently the Directive (EU) 2019/944 that legally recognizes and regulates the formation of citizen energy communities. These are believed to be key enablers for reducing buildings’ carbon footprint by allowing for a wider diffusion of on-site renewable energy generation and by maximizing renewable energy self-consumption. In this study, the benefits of the energy community are assessed through simulations of average Italian buildings of various sizes, different energy efficiency levels, equipped with a photovoltaic system and a heat pump-driven heating system, and located in heating-dominated climates. The work focuses on energy communities both at the apartment scale—i.e., in a multi-family building—and at the building scale—i.e., in a neighborhood. The net energy consumption, the self-consumption, and the self-sufficiency of all the possible energy communities obtainable by combining the different buildings are compared to the baseline case that is represented by the absence of energy sharing between independent building units. The energy community alone at both the building-scale and the neighborhood-scale increases self-consumption by up to 5% and reduces net energy consumption by up to 10%. However, when the energy community is combined with other maximization strategies such as demand-side management and rule-based control, self-consumption can be raised by 15%. These results quantify the lower bound of the achievable self-consumption in energy communities, which, in the rush towards climate neutrality, and in light of these results, could be considered among the solutions for rationalizing the energy consumption of buildings.

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An agent-based approach to modeling zero energy communities

Cited by 44 publications

References 32 publications

Agent Based Models in Power Systems

Agent Based Models in Power Systems

How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles

Enhancing PV Self-Consumption through Energy Communities in Heating-Dominated Climates

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