Domestic load characterization for demand-responsive energy management systems

Soares, Ana; Gomes, Álvaro; Antunes, Carlos Henggeler

doi:10.1109/issst.2012.6227976

Cited by 15 publications

(16 citation statements)

References 18 publications

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“…However, the majority of residential load runs only for a few hours during the daytime (i.e., 24 h). Lighting load, for example, operates mostly during the night, while domestic appliance load runs for only a few hours [28]. Based on this, the total annual average energy consumption and peak load for this location were found to be approximately 200 kWh/day and 25.52 kW, respectively, with a load factor of 0.33 for a sample of 20 households.…”

Section: Load Analysismentioning

confidence: 93%

Techno-Economic and Sensitivity Analyses for an Optimal Hybrid Power System Which Is Adaptable and Effective for Rural Electrification: A Case Study of Nigeria

Oladigbolu¹,

Ramli²,

Al‐Turki³

2019

Sustainability

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This paper studies in detail a systematic approach to offering a combination of conventional and renewable energy that is adaptable enough to operate in grid-connected and off- grid modes to provide power to a remote village located in Nigeria. To this aim, the HOMER pro software tool was used to model two scenarios from the on-and off-grid systems, evaluating in detail the techno-economic effects and operational behavior of the systems and their adverse impacts on the environment. The impacts of varying load demand, grid power and sellback prices, diesel prices, and solar irradiation levels on system performance were discussed. Results showed that, for both cases, the optimum design consists of a diesel generator rated at 12 kW, with a photovoltaic (PV) panel of 54 kW, a 70 battery group (484 kWh nominal capacity battery bank), and a 21 kW converter. The cost of electricity (COE) and net present cost (NPC) were in the range of $0.1/kWh to 0.218 $/kWh and $117,598 to $273,185, respectively, and CO2 emissions ranged between 5963 and 49,393 kg/year in the two configurations. The results of this work provide a general framework for setting up a flexible and reliable system architecture to ensure continuous power supply to consumers under all conditions.

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Section: Load Analysismentioning

confidence: 93%

Techno-Economic and Sensitivity Analyses for an Optimal Hybrid Power System Which Is Adaptable and Effective for Rural Electrification: A Case Study of Nigeria

Oladigbolu¹,

Ramli²,

Al‐Turki³

2019

Sustainability

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“…Efforts to implement DR have been mostly focused on using the flexibility of thermostatic loads of residential customers [9,11,15,18,[37][38][39][40][41]. However, the DR potential of this customer segment in demonstration projects has turned out to be lower than expected due to low participation, limited flexibility of resources, large aggregation requirements and prohibitive entrance costs [41][42][43].…”

Section: Stakeholder(s) Referencesmentioning

confidence: 99%

“…Harnessing demand-side flexibility through DR (some examples of which are given in [7,8,[10][11][12][13] within the broader concept of demand-side Table 1. Objectives for deploying demand-side flexibility.…”

Section: Introductionmentioning

confidence: 99%

Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation

et al. 2016

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This paper presents a demand response (DR) framework that intertwines thermodynamic building models with a genetic algorithm (GA)-based optimization method. The framework optimizes heating/cooling schedules of end-users inside a business park microgrid with local distributed generation from renewable energy sources (DG-RES) based on two separate objectives: net load minimization and electricity cost minimization. DG-RES is treated as a curtailable resource in anticipation of future scenarios where the infeed of DG-RES to the regional distribution network could be limited. We test the DR framework with a case study of a refrigerated warehouse and an office building located in a business park with local PV generation. Results show the technical potential of the DR framework in harnessing the flexibility of the thermal masses from end-user sites in order to: (1) reduce the energy exchange at the point of connection; (2) reduce the cost of electricity for the microgrid end-users; and (3) increase the local utilization of DG-RES in cases where DG-RES exports to the grid are restricted. The results of this work can aid end-users and distribution network operators to reduce energy costs and energy consumption.

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“…Driven by the promising future of DSR, a significant amount of researches [2][3][4][5][6][7][8][9][10][11] aim to improve its performance by developing effective control strategy, reasonable benefit incentive and adequate load information. Among them, the accurate load information is essential to DSR, as it is the prerequisite of the other factors.…”

Section: Introductionmentioning

confidence: 99%

“…In appliances aggregation approach, much of the works make assumptions on energy consumptions or start and end time of home appliances to generate assumed domestic power usage [2,3,10]. On the other hand, some works [4,5,7,9,11] use TLP, which is the averaged load profiles across significant domestic customers in the absence of smart meters.…”

Section: Introductionmentioning

confidence: 99%

Demand side response performance assessment: An impact analysis of load profile accuracy on DSR performances

Zhao

Shi

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

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Demand side response (DSR) is expected to bring benefits in lowering or deferring energy costs, deferring network infrastructure investment and reducing customers' bills. However, very little evidence to suggest DSR can perform as expected. Therefore, this paper for the first time assesses the differences between realistic and expected DSR performance for domestic customers. In detail, it compares realistic load profiles and typical load profiles used by industry. Then, DSR performances are examined using in-home battery, time-of-use tariffs and energy management system. The assessment is conducted on 1) the differences between realistic DSR performances and expected performances driven by typical load profiles; 2) the investigation of the DSR performances driven by realistic load profiles; and 3) the impacts of load profiles' characteristics to the DSR performances. The results reveal the DSR derived from estimated load profiles overestimates the benefits to customers, more accurate load profiles is essential to DSR performance and infer future DSR designs on realistic load profile representation and load characteristic investigation.Index Terms-Demand side response, domestic customer, energy management, load profile, load shifting, smart metering I.

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Domestic load characterization for demand-responsive energy management systems

Cited by 15 publications

References 18 publications

Techno-Economic and Sensitivity Analyses for an Optimal Hybrid Power System Which Is Adaptable and Effective for Rural Electrification: A Case Study of Nigeria

Techno-Economic and Sensitivity Analyses for an Optimal Hybrid Power System Which Is Adaptable and Effective for Rural Electrification: A Case Study of Nigeria

Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation

Demand side response performance assessment: An impact analysis of load profile accuracy on DSR performances

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