Distributed Energy Resource Management System Based on Discrete Event Simulation

Author:

Šinko Simona1,Kragelj Dušan2,Radić Ivana1,Gajšek Brigita1ORCID,Kramberger Tomaž1,Rupnik Bojan1

Affiliation:

1. Faculty of Logistics, University of Maribor, Slovenia

2. General Hospital, Celje, Slovenia

Abstract

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

Publisher

IGI Global

Reference69 articles.

1. Agencija za energijo. (2014). Napoved položaja proizvodnih naprav OVE in SPTE. Retrieved July 18, 2019, from https://www.agen-rs.si/ove-spte-napoved-polozaja

2. Distributed energy resources and benefits to the environment

3. The Fourth Industrial Revolution: Towards Energy 4.0 in Kazakhstan

4. American Council for an Energy-Efficient Economy (ACEEE). (2009). Combined Heat and Power and Clean Distributed Energy Policies. Retrieved July 18, 2019, from https://aceee.org/files/pdf/fact-sheet/chp_policyposition0809.pdf

5. American Council for an Energy-Efficient Economy (ACEEE). (n.d.). Combined Heat and Power. Retrieved July 18, 2019, from https://aceee.org/sector/state-policy/toolkit/chp

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3