Optimal behavior of responsive residential demand considering hybrid phase change materials

Shafie‐khah, Miadreza; Kheradmand, Mohammad; Javadi, Sara; Azenha, Miguel; Aguiar, José; Castro-Gomes, João; Siano, Pierluigi; Catalão, João P.S.

doi:10.1016/j.apenergy.2015.11.013

Cited by 53 publications

(21 citation statements)

References 45 publications

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“…Both the researchers achieved the energy demand reduction of 20% during day time when the energy demand is usually high. The HPCM model proposed by Shafie-khah et al [80] also reduced the electricity cost by 48%. The HPCM prepared by Kheradmand et al [81][82][83] had the capability to control thermal amplitude fluctuations on its interior in both winter and summer seasons.…”

Section: Discussionmentioning

confidence: 98%

“…Another purpose to use HPCM in this sector was to reduce the energy consumption and load demand. Amongst all the literature studied, only Shafie-khah et al [80] and Kheradmand et al [81][82][83] worked to enhance the efficiency of energy storage systems to minimize the energy demand during peak load hours ultimately reducing the energy cost. Both the researchers achieved the energy demand reduction of 20% during day time when the energy demand is usually high.…”

Section: Discussionmentioning

confidence: 99%

“…Shafie-khah et al [80] worked to improve the efficiency of energy storage systems by incorporating more than one type of PCM into polyester mortar to reduce customer's cost in different demand response programs. Based on the simulation results it was revealed that there could be 48% reduction in customer's electricity cost by utilizing the proposed model.…”

Section: Thermal Comfort In Modern Buildingsmentioning

confidence: 99%

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Thermal applications of hybrid phase change materials: A critical review

2020

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Phase change materials (PCM) with their high latent heat capacity have a great ability to store energy during their phase change process. The PCM are renowned for their applications in solar and thermal energy storage systems for the purpose of heating and cooling. However, one of the major drawbacks of PCM is their low thermal conductivity due to which their charging and discharging time reduces along with the reduction in energy storage capacity. This reduction in the energy storage capacity of PCM can be improved by producing organic-inorganic hybrid form-stable PCM, with the combination of two or more PCM together to increase their energy storage capacity. Nanoparticles that possess high thermal conductivity are also doped with these hybrid PCM (HPCM)to improve the effectiveness of thermal conductivity. This paper presents a short review on the applications of HPCM in energy storage and building application. Apart from this a short section of applications of composite PCM (CPCM) is also reviewed with discussions made at the end of each section. Results from the past literature depicted that the application of these HPCM and CPCM enhanced the energy storage capacity and thermal conductivity of the base PCM and selection of a proper hybrid material plays an essential role in their stability. It is presumed that this study will provide a sagacity, to the readers, to investigate their thermophysical properties and other essential applications.

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Thermal Comfort In Modern Buildingsmentioning

confidence: 99%

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Thermal applications of hybrid phase change materials: A critical review

2020

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“…Smart grids are the systems with complex structure and extensive stakeholders. The idea behind smart grids is to improve the efficiency of power system, from generation to end-users, which enables user participation [3]. Power supply-side management and demand-side management are the main problems in the research on smart grids.…”

Section: Introductionmentioning

confidence: 99%

Real-time pricing method for smart grids based on complementarity problem

Wang

Gao

2019

J. Mod. Power Syst. Clean Energy

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Considering a demand response (DR) based social welfare maximization model, a complementarity problem based on the Karush-Kuhn-Tuker condition is described, which is a non-dual method for determining real-time price for smart grids. The Lagrange multiplier in the dual method, which is used to determine the basic electricity price, is applied in the model. The proposed method computes the optimal electricity consumption, price and production. According to the electricity price, users can arrange their electricity equipment reasonably to reduce the consumption pressure at peak time. The model aims to encourage users to actively participate in the DR and realize peak cutting and valley filling. In addition, the model considers different utility functions representing three types of users. Finally, a Jacobian smoothing version of Newton method is used to solve the model. Statistical simulations of the model validate the rationality and feasibility of the proposed method.

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“…There is now a rich literature on using optimization techniques and game theory to manage the demand at the customer side by minimizing the cost of power generation or maximizing the customers' utility [1][2][3][4][5][6][7][8][9]. Phase Change Materials (PCM) plays a significant role in the future of buildings.…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud Based Demand Side Management Approach with Microgrid

2018

IJRTER

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Abstract-To developand increase the expediency of living, Internet of things (IoT) these dayshas become a good research topic. The enhancement in the quality of human living can be increased by using varying home appliances, which can be quick and fast. Different home appliances provide diverse functions and services. Hence, in this research, the IOT based Demand Side Management is asignificant application of the upcoming Smart Grid. DSM programs let consumers to joinand participate in the operation of the electric grid by reducing or shifting their electricity usage during peak periods. This research focuses on cloud-based demand side management to control the residential load of customers equipped with local power generation and storage facilities as auxiliary sources of energy. A power system consisting of multiple regions and equipped with a number of microgrids can be considered. In each region an edge cloud is utilized to find the optimal power consumption schedule for customer appliances in that region. At the edge cloud, the power consumption level of local storage and the amount of power being demanded from both local storage facilities and power grid are scheduled using a bi-level optimization approach. The core cloud then gathers information of the total demand from consumers in different regions and finds the optimal power consumption schedule for each microgrid in the power system. The paper provides a study on the literature research, objectives of the cloud based model, methodology and basic requirements to be considered for the microgrid. The proposed model can reduce power consumption cost for the customers and improves the power grid in terms of peak load and peak-to-average load ratio.

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Optimal behavior of responsive residential demand considering hybrid phase change materials

Cited by 53 publications

References 45 publications

Thermal applications of hybrid phase change materials: A critical review

Thermal applications of hybrid phase change materials: A critical review

Real-time pricing method for smart grids based on complementarity problem

Cloud Based Demand Side Management Approach with Microgrid

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