Demand Response in Energy Communities Considering the Share of Photovoltaic Generation from Public Buildings

Faria, Pedro; Barreto, Rúben; Vale, Zita

doi:10.1109/sest.2019.8849082

Cited by 10 publications

(10 citation statements)

References 13 publications

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“…It should be mentioned that P_max is related to the total power consumption of controllable devices. Table 3 presets the undefined parameters in (5), (6), and (7). This formulation of the optimization problem has been defined for the specific subject of a laundry room.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…Demand side management (DSM) offers incentives to receive flexibility from the consumer side to modify their consumption pattern in response to varying electricity prices, technical problems of the grid, available loads, or incentive payments. This process makes both sides beneficiaries based on grid condition and economic benefits for consumers and producers [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Sequential Tasks Shifting for Participation in Demand Response Programs

et al. 2020

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In this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing the required demand reduction. The sequence of devices operation is also modeled, ensuring correct operation cycles of different types of devices which are not allowed to overlap or have sequence rules. The implemented demand response program specifies a power consumption limit in each period and offers discounts for energy prices as incentives. In addition, users can define the required number of operations for each device in specific periods, and the preferences regarding the operation of consecutive days. In the case study, results have been obtained regarding six scenarios that have been defined to survey about effects of different energy tariffs, power limitations, and incentives, in a laundry room equipped with three washing machines, two dryers, and one iron. A sensitivity analysis of the power consumption limit is presented. The results show that the proposed methodology is able to accommodate the implemented scenario, respecting user preferences and demand response program, minimizing energy costs. The final electricity price has been calculated for all scenarios to discuss the more effective schedule in each scenario.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sequential Tasks Shifting for Participation in Demand Response Programs

et al. 2020

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“…The selected case study corresponds to a network community. The network consists of 29 residential houses, 2 and four public buildings, namely a public library, a municipal market, a culture house, and a city hall (Faria et al 2019). The type of consumers and buildings in this case study has been chosen to match the case study in (Faria et al 2019).…”

Section: Case Studymentioning

confidence: 99%

A methodology for energy key performance indicators analysis

Faria¹,

Lezama²,

Vale

et al. 2021

Energy Inform

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With the advent of the smart grid era, the electrical grid is becoming a complex network in which different technologies coexist to bring benefits to both customers and operators. This paper presents a methodology for analyzing Key Performance Indicators (KPIs), providing knowledge about the performance and efficiency of energy systems, focusing on the demand side. In the first stage of the methodology, the baseline KPIs are calculated. In the second stage, all KPIs are updated to be compared with the baseline ones. In fact, due to the dynamic nature of players in a smart grid, this methodology plays a crucial role in the performance assessment. Moreover, the proper definition and selection of KPIs is usually a challenging task since KPIs can be applied to evaluate diverse areas within a smart grid. Such areas include building energy efficiency, home communications, and smart metering deployment, just to mention a few. In the proposed methodology, the information obtained from a KPI can be driven to distinct aspects such as efficiency, environment, reliability, power quality, safety, security, or cost reduction. Through a case study from a real implementation of an energy system, we show how to assess energy consumption efficiency, thus improving energy management.

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“…The case study presented in this section illustrates the application of the proposed solution to solve constrained bid transactions in local electricity markets from the perspective of an aggregator. The case study is inspired by a community microgrid adapted from [53], with twenty-three residential houses and four public buildings. Of these, four residential houses and three public buildings are equipped with photovoltaic (PV) panels (prosumers).…”

Section: Case Studymentioning

confidence: 99%

Constrained Generation Bids in Local Electricity Markets: A Semantic Approach

et al. 2020

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The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers.

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Demand Response in Energy Communities Considering the Share of Photovoltaic Generation from Public Buildings

Cited by 10 publications

References 13 publications

Sequential Tasks Shifting for Participation in Demand Response Programs

Sequential Tasks Shifting for Participation in Demand Response Programs

A methodology for energy key performance indicators analysis

Constrained Generation Bids in Local Electricity Markets: A Semantic Approach

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