Matching of local load with on-site PV production in a grid-connected residential building

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Matching of local load with on-site PV production in a grid-connected residential building. / Bashir, Arslan Ahmad; Kasmaei, Mahdi Pourakbari; Safdarian, Amir; Lehtonen, Matti.

In: Energies, Vol. 11, No. 9, 2409, 01.09.2018.

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@article{0000f994ad424ff180e07e749698bb5a,
title = "Matching of local load with on-site PV production in a grid-connected residential building",
abstract = "Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid. This work aimed at maximizing the self-consumption of on-site photovoltaic (PV) generation using an electrical storage, as well as demand response solutions, in a building that was also capable of interacting with the main grid. Ten-minute resolution data were used to capture the temporal behavior of the weather. Extensive mathematical models were employed to estimate the demand for hot-water consumption, space cooling, and heating loads. The proposed framework is cast as mixed-integer linear programming model while minimizing the interaction with the grid. To evaluate the effectiveness of the proposed framework, it was applied to a typical Finnish household. Matching indices were used to evaluate the degree of overlap between generation and demand under different PV penetrations and storage capacities. Despite negative correlation of PV generation with Finnish seasonal consumption, a significant portion of demand can be satisfied solely with on-site PV generation during the spring and summer seasons.",
keywords = "Demand response, Electrical storage, Linear programming, Microgrid",
author = "Bashir, {Arslan Ahmad} and Kasmaei, {Mahdi Pourakbari} and Amir Safdarian and Matti Lehtonen",
year = "2018",
month = "9",
day = "1",
doi = "10.3390/en11092409",
language = "English",
volume = "11",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "9",

}

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TY - JOUR

T1 - Matching of local load with on-site PV production in a grid-connected residential building

AU - Bashir, Arslan Ahmad

AU - Kasmaei, Mahdi Pourakbari

AU - Safdarian, Amir

AU - Lehtonen, Matti

PY - 2018/9/1

Y1 - 2018/9/1

N2 - Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid. This work aimed at maximizing the self-consumption of on-site photovoltaic (PV) generation using an electrical storage, as well as demand response solutions, in a building that was also capable of interacting with the main grid. Ten-minute resolution data were used to capture the temporal behavior of the weather. Extensive mathematical models were employed to estimate the demand for hot-water consumption, space cooling, and heating loads. The proposed framework is cast as mixed-integer linear programming model while minimizing the interaction with the grid. To evaluate the effectiveness of the proposed framework, it was applied to a typical Finnish household. Matching indices were used to evaluate the degree of overlap between generation and demand under different PV penetrations and storage capacities. Despite negative correlation of PV generation with Finnish seasonal consumption, a significant portion of demand can be satisfied solely with on-site PV generation during the spring and summer seasons.

AB - Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid. This work aimed at maximizing the self-consumption of on-site photovoltaic (PV) generation using an electrical storage, as well as demand response solutions, in a building that was also capable of interacting with the main grid. Ten-minute resolution data were used to capture the temporal behavior of the weather. Extensive mathematical models were employed to estimate the demand for hot-water consumption, space cooling, and heating loads. The proposed framework is cast as mixed-integer linear programming model while minimizing the interaction with the grid. To evaluate the effectiveness of the proposed framework, it was applied to a typical Finnish household. Matching indices were used to evaluate the degree of overlap between generation and demand under different PV penetrations and storage capacities. Despite negative correlation of PV generation with Finnish seasonal consumption, a significant portion of demand can be satisfied solely with on-site PV generation during the spring and summer seasons.

KW - Demand response

KW - Electrical storage

KW - Linear programming

KW - Microgrid

UR - http://www.scopus.com/inward/record.url?scp=85053917397&partnerID=8YFLogxK

U2 - 10.3390/en11092409

DO - 10.3390/en11092409

M3 - Article

VL - 11

JO - Energies

JF - Energies

SN - 1996-1073

IS - 9

M1 - 2409

ER -

ID: 28727546