Towards a zero net energy community microgrid

Jordan, Isaac; O’Neill-Carrillo, Efraín; Lopez, Naysy

doi:10.1109/sustech.2016.7897144

Cited by 11 publications

(17 citation statements)

References 8 publications

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“…However, the NZES of Mayaguez, Puerto Rico (Jordán et al, 2016) is located in the hot and warm climate zone, where the annual temperature varies from 21 • C to 31 • C. Therefore, the mitigation strategies and adaptations of buildings could improve the thermal comfort and reduce the cooling energy demand of the settlement, which is missing in that study. Similarly, since the settlements of USA (Burch et al, 2012), Siberia, Russia (Sokolnikova et al, 2020), Finland (ur Rehman et al, 2019, Ontario, Canada (Shareefdeen et al, 2015), and British Columbia, Canada (Garmsiri et al, 2016) are located in the cold climate zones, the adaptation techniques could improve the thermal comfort throughout the year and reduce the thermal energy demand of the buildings.…”

Section: Name Of the Technologies Characteristicsmentioning

confidence: 89%

“…• Building integrated Solar PV (Boccalatte et al, 2020;Castaldo et al, 2018;Fouad et al, 2020;Garmsiri et al, 2016;Gupta and Gregg, 2018;Hachem-Vermette et al, 2016;Heinze and Voss, 2009;Idrees et al, 2010;Piselli et al, 2020;Santamouris and Assimakopoulos, 2020;Wheeler and Segar, 2013;Arena and Faakye, 2015;Ascione et al, 2017;Synnefa et al, 2017) and centralized solar PV system (Burch et al, 2012;Idrees et al, 2010;Jordán et al, 2016;Santamouris and Assimakopoulos, 2020;Sokolnikova et al, 2020;Sougkakis et al, 2020;Suh and Kim, 2019;ur Rehman et al, 2019;Wheeler and Segar, 2013) • Wind turbine (Fouad et al, 2020;Gupta and Gregg, 2018;Sokolnikova et al, 2020;ur Rehman et al, 2019) and Windrail (Castaldo et al, 2018;Piselli et al, 2020;Synnefa et al, 2017; Santamouris and Assimakopoulos, 2020) • Gas turbine (Shareefdeen et al, 2015) • Fuel Cells (Garmsiri et al, 2016;Idrees et al, 2010;Wheeler and Segar, 2013) • Combined heat and power (CHP) plants (Coates, 2013;Heinze and Voss, 2009) • Solar thermal collector (Burch et al, 2012;Coates, 2013;Garmsi...…”

Section: Name Of the Technologies Characteristicsmentioning

confidence: 99%

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

et al. 2021

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Section: Name Of the Technologies Characteristicsmentioning

confidence: 89%

Section: Name Of the Technologies Characteristicsmentioning

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 small-scale approach, DERs such as demand response resources [7] and ESSs [8] are employed. In addition, the use of a zero net energy microgrid has been recommended to address the abovementioned problems, as such a grid can locally manage the demands and minimize the impact to the power grid [9], [10].…”

Section: Pless(t)mentioning

confidence: 99%

“…(a) PCS and SOC limitations of the customer-owned ESS (b) Proposed model for the maximum charge and discharge limitation of the ACES, based on the piecewise linear function Specifically,-f(SOC ACES (t-1))* Z ACES,cha (t) ≤ P ACES (t)(10) …”

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confidence: 99%

Optimal Scheduling for a Zero Net Energy Community Microgrid With Customer-Owned Energy Storage Systems

Byeon

Kim

et al. 2021

IEEE Trans. Power Syst.

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With the increasing use of renewable energy resources in power systems, it is necessary to overcome the limitations of these resources in terms of the supply and demand balance in high-voltage power systems. A viable solution is employing zero net energy community microgrids, which can manage the demand locally and minimize the impact to the power grid. To this end, this paper proposes an optimal scheduling method for a zero net energy community microgrid with customer-owned energy storage systems (CES). It is assumed that the microgrid operator operates in the CES market based on a bilateral contract. The CES aggregators constitute the CES and participate in the market. The aggregated CES (ACES) is considered as a single energy storage system in the proposed scheduling method. Numerical examples are presented to demonstrate the effectiveness of the proposed method. Index Terms-Community microgrid, optimal scheduling, zero net energy, customer-owned energy storage systems NOMENCLATURE BAT Battery DER Distributed energy resource ESS Energy storage system EV Electric vehicle CES Customer-owned ESS ACES Aggregated CES FC Fuel cell HV High-voltage power system HVAC Heating, ventilation, and airconditioning LESS MG operator-owned large-scale ESS LFC MG operator-owned large-scale fuel cell PCS Power conversion system PV Photovoltaic system SOC State of charge AP Daily available time for microgrid operator to use the ACES (in hours) BPy Breakpoint of interval y CESS(t)

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“…The objective is to reduce the total costs, which include investment plus operational costs of Distributed Energy Resources (DER), battery degradation costs, costs for loss of customer comfort, among others, when considering residential HVAC (heating, ventilation and air conditioning) systems. On the other hand, the authors in [19] have analyzed the advantages of having community microgrids with demand response (200 homes distributed in 20 groups of 10 households, with photovoltaic generators and battery storage systems) to favor the penetration of photovoltaic solar energy. The demand response is used as a strategy to displace the import needs of extra energy from the main grid during cloudy days or those with little solar generation.…”

Section: Brief Study Of the Literaturementioning

confidence: 99%

On the Value of Community Association for Microgrid Development: Learnings from Multiple Deterministic and Stochastic Planning Designs

et al. 2021

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The reliability of the power grid is a constant problem faced by those who operate, plan and study power systems. An alternative approach to this problem, and others related to the integration of renewable energy sources, is the microgrid. This research seeks to quantify the potential benefits of urban community microgrids, based on the development of planning models with deterministic and stochastic optimization approaches. The models ensure that supply meets demand whilst assuring the minimum cost of investment and operation. To verify their effectiveness, the planning of hundreds of microgrids was set in the city of Santiago de Chile. The most important results highlight the value of community association, such as: a reduction in investment cost of up to 35%, when community microgrids are planned with a desired level of reliability, compared to single residential household microgrids. This reduction is due to the diversity of energy consumption, which can represent around 20%, on average, of cost reduction, and to the Economies of Scale (EoS) present in the aggregation microgrid asset capacity, which can represent close to 15% of the additional reduction in investment costs. The stochastic planning approach also ensures that a community can prepare for different fault scenarios in the power grid. Furthermore, it was found that for approximately 90% of the planned microgrids with reliability requirements, the deterministic solution for the worst three fault scenarios is equivalent to the solution of the stochastic planning problem.

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Towards a zero net energy community microgrid

Cited by 11 publications

References 8 publications

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

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

Optimal Scheduling for a Zero Net Energy Community Microgrid With Customer-Owned Energy Storage Systems

On the Value of Community Association for Microgrid Development: Learnings from Multiple Deterministic and Stochastic Planning Designs

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