“Smart buildings” integrated in “smart grids”: A key challenge for the energy transition by using physical models and optimization with a “human-in-the-loop” approach

Würtz, Fréderic; Delinchant, Benoît

doi:10.1016/j.crhy.2017.09.007

Cited by 33 publications

(31 citation statements)

References 15 publications

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“…Daya yang dihasilkan (PLTS) bersifat intermiten karena bergantung pada kondisi lingkungan. Sementara itu, kebutuhan listrik untuk menyuplai pada PLTS dapat muncul setiap saat, sehingga PLTS perlu diintegrasikan dengan jaringan listrik utama (main grid) yang disediakan oleh Perusahaan Listrik Negara (PLN) dan sistem penyimpan energi agar dapat beroperasi baik secara on grid ataupun off grid [5]. Integrasi berbagai sistem tersebut dalam skala kecil baik biasa dikenal dengan istilah microgrid.…”

Section: Pendahuluanunclassified

Pemodelan Manajemen Energi Microgrid pada Sistem Bangunan Cerdas

Soelami

Leksono

Haq

et al. 2020

JNTETI

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Dari sudut pandang sistem kelistrikan, sistem bangunan pintar dapat dilihat sebagai integrasi jaringan listrik microgrid yang menghubungkan sistem PLTS, sistem penyimpan energi, dan distribusi beban listrik pada bangunan. Kondisi operasi microgrid perlu dievaluasi dan dioptimasi agar dapat mencapai kinerja yang andal, tetapi tetap efisien. Makalah ini mengembangkan pemodelan manajemen energi untuk optimasi microgrid pada sistem bangunan cerdas. Sumber daya yang terhubung pada microgrid terdiri atas sistem PLTS, sistem baterai, dan listrik dari jaringan publik. Dilakukan skenario kombinasi beban listrik yang terdiri atas beban pencahayaan, beban pompa air, dan beban pendinginan bangunan. Optimasi dilakukan berdasarkan estimasi Self Consumption (SC) dan Self Sufficiency (SS) antara daya yang dihasilkan sistem PLTS dan kebutuhan beban yang bervariasi. Dari simulasi sebelum dilakukan optimasi diperoleh hasil yaitu persentase SC sebesar 63,2% dan persentase SS sebesar 96,32%. Setelah dilakukan optimasi manajemen energi, persentase sistem SC menjadi 84,68% dan SS menjadi 83,27%. Dari hasil optimasi tersebut, terlihat bahwa banyaknya energi yang dapat dimanfaatkan dari sistem PLTS menjadi meningkat dan microgrid bekerja lebih optimal.

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Section: Pendahuluanunclassified

Pemodelan Manajemen Energi Microgrid pada Sistem Bangunan Cerdas

Soelami

Leksono

Haq

et al. 2020

JNTETI

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“…PCS (kW) × Charge demand (10) SEC = W DER (kWh) × Charge energy (11) It is difficult to know when the PV system generated power and how much the system generated. For this reason, the authors assumed the PV supplied power to loads at peak-load time and mid-load time in ratio of 8 to 2.…”

Section: Sdc = P Maxmentioning

confidence: 99%

“…A SG is generally composed of distributed energy resources (DERs), such as photovoltaics (PVs) and wind turbines (WTs), an operation system (OS) as an energy management system (EMS), an energy storage system (ESS), advanced metering infrastructure (AMI), and other smart devices [8]. References [9][10][11] are about smart zero-energy buildings that utilize internet of things technologies. Especially, Kolokotsa [9] have emphasized the importance of zero-energy buildings for the smart community, but the support basis is weak in that there is no case study.…”

Section: Introductionmentioning

confidence: 99%

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Introduction of Smart Grid Station Configuration and Application in Guri Branch Office of KEPCO

Hwang

Yoo

et al. 2018

Sustainability

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Climate change and global warming are becoming important problems around the globe. To prevent these environmental problems, many countries try to reduce their emissions of greenhouse gases (GHGs) and manage the consumption of energy. The Korea Electric Power Corporation (KEPCO) introduced smart grid (SG) technologies to its branch office in 2014. This was the first demonstration of a smart grid on a building, called the Smart Grid Station (SGS). However, the smart grid industry is stagnant despite of the efforts of KEPCO. The authors analyzed the achievements to date, and proved the effects of the SGS by comparing its early targets to its performance. To evaluate the performance, we analyzed the data of 2015 with the data of 2014 in three aspects: peak reduction, power consumption reduction, and electricity fee savings. Furthermore, we studied the economic analysis including photovoltaic (PV) and energy storage system (ESS) electricity fee savings, as well as running cost savings by electric vehicles. Through the evaluation, the authors proved that the performance surpassed the early targets and that the system is economical. With the advantages of the SGS, we suggested directions to expand the system.

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“…Some of the references available on the response of commercial buildings [14], [15], [16], [17] suggest the use of small or medium-sized generation systems based on renewable sources. This is the case of some urban wind turbines [18], which are driven by the relatively stronger winds available on top of the buildings.…”

Section: Introductionmentioning

confidence: 99%

Commercial Building Containing Generation Sources: A Technical and Economic Assessment and Its Potential to Participate in Demand Response Programs

Carpio-Huayllas¹,

Ramos²,

Vasquez-Arnez³

2019

EPE

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The interest on studying the impact of demand response is growing, especially on residential and commercial buildings which are responsible for a considerable consumption of energy worldwide. Also, it is virtually unquestionable that in most of these buildings there is a waste of energy, mainly electrical and thermal energy. In this context, the establishment of intelligent networks in these buildings, as well as the use of small or even medium-sized renewable sources of power can significantly contribute to the reduction and preservation of power. In this article, the results of the simulations carried out in a specific simulation program to evaluate the benefits brought by the installation of some local sources of power on a commercial building are presented. It is evaluated the impact on some of the economic variables linked to that system as well as compared its greenhouse gas emissions for the conditions with and without the presence of the local generation. It will also evaluate the building's response towards the utility requirements, mainly the possibility to reduce or partially compensate the energy consumed, commonly referred to as Demand Response.

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“Smart buildings” integrated in “smart grids”: A key challenge for the energy transition by using physical models and optimization with a “human-in-the-loop” approach

Cited by 33 publications

References 15 publications

Pemodelan Manajemen Energi Microgrid pada Sistem Bangunan Cerdas

Pemodelan Manajemen Energi Microgrid pada Sistem Bangunan Cerdas

Introduction of Smart Grid Station Configuration and Application in Guri Branch Office of KEPCO

Commercial Building Containing Generation Sources: A Technical and Economic Assessment and Its Potential to Participate in Demand Response Programs

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