Loading…
Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study
In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as inv...
Saved in:
Published in: | Energies (Basel) 2024-03, Vol.17 (6), p.1307 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3 |
---|---|
cites | cdi_FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3 |
container_end_page | |
container_issue | 6 |
container_start_page | 1307 |
container_title | Energies (Basel) |
container_volume | 17 |
creator | Benalcazar, Pablo Malec, Marcin Kaszyński, Przemysław Kamiński, Jacek Saługa, Piotr W. |
description | In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as investing in their own power generation sources or storage systems. In this context, this article presents a data-driven optimization-based framework to manage and optimize the operation of a hybrid energy system within industries characterized by substantial power requirements. The framework encompasses several key aspects: electricity generation, self-consumption, storage, and electric grid interaction. The case of an energy-intensive company specializing in wood processing and office furniture production is evaluated. This study explored two system configurations of hybrid energy systems within an energy-intensive company. The result of the analyzed case shows that the system’s flexibility is enhanced by its ability to store energy, resulting in electricity cost savings of nearly 72% and total operating cost savings of 20%. |
doi_str_mv | 10.3390/en17061307 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_0438b2afede74a338127fb27bf1c90bf</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A788246383</galeid><doaj_id>oai_doaj_org_article_0438b2afede74a338127fb27bf1c90bf</doaj_id><sourcerecordid>A788246383</sourcerecordid><originalsourceid>FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3</originalsourceid><addsrcrecordid>eNpNUU2LFDEUbETBZd2LvyDgTeg1X510vC3DrA4s7GH1KOF1-mXIOJ2MSWZl9tcbHXF97_AeRVVRUF33ltFrIQz9gJFpqpig-kV3wYxRPaNavPzvf91dlbKjbYRgQoiL7tt6j67m4EI9kVUqlTzAY4jbQkIk64h5e-o3sWIs4REbYTlADFg-kvtDDUt4ghpSJLcZFvyZ8ncCcSYrKEge6nE-veleedgXvPp7L7uvt-svq8_93f2nzermrneS0tp7w7mZJWXAUKPkM0qvFXCvJmb4IAEHpbXzfJycdHSY5TQgVWoyg_KKo7jsNmffOcHOHnJYIJ9sgmD_AClvLeQa3B4tlWKcOHicUUsQYmRc-4nryTNn6OSb17uz1yGnH0cs1e7SMccW3wpKGdOjGkxjXZ9ZW2imIfpUM7i2My7BpYg-NPxGjyOXSoyiCd6fBS6nUjL6fzEZtb_rs8_1iV_4O4wF</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3001178659</pqid></control><display><type>article</type><title>Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study</title><source>Publicly Available Content Database</source><creator>Benalcazar, Pablo ; Malec, Marcin ; Kaszyński, Przemysław ; Kamiński, Jacek ; Saługa, Piotr W.</creator><creatorcontrib>Benalcazar, Pablo ; Malec, Marcin ; Kaszyński, Przemysław ; Kamiński, Jacek ; Saługa, Piotr W.</creatorcontrib><description>In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as investing in their own power generation sources or storage systems. In this context, this article presents a data-driven optimization-based framework to manage and optimize the operation of a hybrid energy system within industries characterized by substantial power requirements. The framework encompasses several key aspects: electricity generation, self-consumption, storage, and electric grid interaction. The case of an energy-intensive company specializing in wood processing and office furniture production is evaluated. This study explored two system configurations of hybrid energy systems within an energy-intensive company. The result of the analyzed case shows that the system’s flexibility is enhanced by its ability to store energy, resulting in electricity cost savings of nearly 72% and total operating cost savings of 20%.</description><identifier>ISSN: 1996-1073</identifier><identifier>EISSN: 1996-1073</identifier><identifier>DOI: 10.3390/en17061307</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Alternative energy sources ; Case studies ; Cost control ; Decision making ; Demand side management ; Electric vehicles ; Electricity ; Energy consumption ; Energy management ; Energy management systems ; Energy resources ; Energy storage ; Energy use ; energy-intensive sectors ; hybrid energy systems ; Linear programming ; Mathematical models ; Mathematical programming ; Monte Carlo simulation ; Operating costs ; Optimization ; Power lines ; Prices and rates ; Production planning ; Renewable resources ; Scheduling ; Startups ; Stochastic models ; Technology application ; Volatility</subject><ispartof>Energies (Basel), 2024-03, Vol.17 (6), p.1307</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3</citedby><cites>FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3</cites><orcidid>0000-0001-7514-8761 ; 0000-0001-9578-8299 ; 0000-0003-4587-9613 ; 0000-0002-0600-4374</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3001178659/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3001178659?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Benalcazar, Pablo</creatorcontrib><creatorcontrib>Malec, Marcin</creatorcontrib><creatorcontrib>Kaszyński, Przemysław</creatorcontrib><creatorcontrib>Kamiński, Jacek</creatorcontrib><creatorcontrib>Saługa, Piotr W.</creatorcontrib><title>Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study</title><title>Energies (Basel)</title><description>In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as investing in their own power generation sources or storage systems. In this context, this article presents a data-driven optimization-based framework to manage and optimize the operation of a hybrid energy system within industries characterized by substantial power requirements. The framework encompasses several key aspects: electricity generation, self-consumption, storage, and electric grid interaction. The case of an energy-intensive company specializing in wood processing and office furniture production is evaluated. This study explored two system configurations of hybrid energy systems within an energy-intensive company. The result of the analyzed case shows that the system’s flexibility is enhanced by its ability to store energy, resulting in electricity cost savings of nearly 72% and total operating cost savings of 20%.</description><subject>Alternative energy sources</subject><subject>Case studies</subject><subject>Cost control</subject><subject>Decision making</subject><subject>Demand side management</subject><subject>Electric vehicles</subject><subject>Electricity</subject><subject>Energy consumption</subject><subject>Energy management</subject><subject>Energy management systems</subject><subject>Energy resources</subject><subject>Energy storage</subject><subject>Energy use</subject><subject>energy-intensive sectors</subject><subject>hybrid energy systems</subject><subject>Linear programming</subject><subject>Mathematical models</subject><subject>Mathematical programming</subject><subject>Monte Carlo simulation</subject><subject>Operating costs</subject><subject>Optimization</subject><subject>Power lines</subject><subject>Prices and rates</subject><subject>Production planning</subject><subject>Renewable resources</subject><subject>Scheduling</subject><subject>Startups</subject><subject>Stochastic models</subject><subject>Technology application</subject><subject>Volatility</subject><issn>1996-1073</issn><issn>1996-1073</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU2LFDEUbETBZd2LvyDgTeg1X510vC3DrA4s7GH1KOF1-mXIOJ2MSWZl9tcbHXF97_AeRVVRUF33ltFrIQz9gJFpqpig-kV3wYxRPaNavPzvf91dlbKjbYRgQoiL7tt6j67m4EI9kVUqlTzAY4jbQkIk64h5e-o3sWIs4REbYTlADFg-kvtDDUt4ghpSJLcZFvyZ8ncCcSYrKEge6nE-veleedgXvPp7L7uvt-svq8_93f2nzermrneS0tp7w7mZJWXAUKPkM0qvFXCvJmb4IAEHpbXzfJycdHSY5TQgVWoyg_KKo7jsNmffOcHOHnJYIJ9sgmD_AClvLeQa3B4tlWKcOHicUUsQYmRc-4nryTNn6OSb17uz1yGnH0cs1e7SMccW3wpKGdOjGkxjXZ9ZW2imIfpUM7i2My7BpYg-NPxGjyOXSoyiCd6fBS6nUjL6fzEZtb_rs8_1iV_4O4wF</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Benalcazar, Pablo</creator><creator>Malec, Marcin</creator><creator>Kaszyński, Przemysław</creator><creator>Kamiński, Jacek</creator><creator>Saługa, Piotr W.</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7514-8761</orcidid><orcidid>https://orcid.org/0000-0001-9578-8299</orcidid><orcidid>https://orcid.org/0000-0003-4587-9613</orcidid><orcidid>https://orcid.org/0000-0002-0600-4374</orcidid></search><sort><creationdate>20240301</creationdate><title>Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study</title><author>Benalcazar, Pablo ; Malec, Marcin ; Kaszyński, Przemysław ; Kamiński, Jacek ; Saługa, Piotr W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alternative energy sources</topic><topic>Case studies</topic><topic>Cost control</topic><topic>Decision making</topic><topic>Demand side management</topic><topic>Electric vehicles</topic><topic>Electricity</topic><topic>Energy consumption</topic><topic>Energy management</topic><topic>Energy management systems</topic><topic>Energy resources</topic><topic>Energy storage</topic><topic>Energy use</topic><topic>energy-intensive sectors</topic><topic>hybrid energy systems</topic><topic>Linear programming</topic><topic>Mathematical models</topic><topic>Mathematical programming</topic><topic>Monte Carlo simulation</topic><topic>Operating costs</topic><topic>Optimization</topic><topic>Power lines</topic><topic>Prices and rates</topic><topic>Production planning</topic><topic>Renewable resources</topic><topic>Scheduling</topic><topic>Startups</topic><topic>Stochastic models</topic><topic>Technology application</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Benalcazar, Pablo</creatorcontrib><creatorcontrib>Malec, Marcin</creatorcontrib><creatorcontrib>Kaszyński, Przemysław</creatorcontrib><creatorcontrib>Kamiński, Jacek</creatorcontrib><creatorcontrib>Saługa, Piotr W.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Directory of Open Access Journals</collection><jtitle>Energies (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benalcazar, Pablo</au><au>Malec, Marcin</au><au>Kaszyński, Przemysław</au><au>Kamiński, Jacek</au><au>Saługa, Piotr W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study</atitle><jtitle>Energies (Basel)</jtitle><date>2024-03-01</date><risdate>2024</risdate><volume>17</volume><issue>6</issue><spage>1307</spage><pages>1307-</pages><issn>1996-1073</issn><eissn>1996-1073</eissn><abstract>In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as investing in their own power generation sources or storage systems. In this context, this article presents a data-driven optimization-based framework to manage and optimize the operation of a hybrid energy system within industries characterized by substantial power requirements. The framework encompasses several key aspects: electricity generation, self-consumption, storage, and electric grid interaction. The case of an energy-intensive company specializing in wood processing and office furniture production is evaluated. This study explored two system configurations of hybrid energy systems within an energy-intensive company. The result of the analyzed case shows that the system’s flexibility is enhanced by its ability to store energy, resulting in electricity cost savings of nearly 72% and total operating cost savings of 20%.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/en17061307</doi><orcidid>https://orcid.org/0000-0001-7514-8761</orcidid><orcidid>https://orcid.org/0000-0001-9578-8299</orcidid><orcidid>https://orcid.org/0000-0003-4587-9613</orcidid><orcidid>https://orcid.org/0000-0002-0600-4374</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1996-1073 |
ispartof | Energies (Basel), 2024-03, Vol.17 (6), p.1307 |
issn | 1996-1073 1996-1073 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_0438b2afede74a338127fb27bf1c90bf |
source | Publicly Available Content Database |
subjects | Alternative energy sources Case studies Cost control Decision making Demand side management Electric vehicles Electricity Energy consumption Energy management Energy management systems Energy resources Energy storage Energy use energy-intensive sectors hybrid energy systems Linear programming Mathematical models Mathematical programming Monte Carlo simulation Operating costs Optimization Power lines Prices and rates Production planning Renewable resources Scheduling Startups Stochastic models Technology application Volatility |
title | Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T23%3A20%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Electricity%20Cost%20Savings%20in%20Energy-Intensive%20Companies:%20Optimization%20Framework%20and%20Case%20Study&rft.jtitle=Energies%20(Basel)&rft.au=Benalcazar,%20Pablo&rft.date=2024-03-01&rft.volume=17&rft.issue=6&rft.spage=1307&rft.pages=1307-&rft.issn=1996-1073&rft.eissn=1996-1073&rft_id=info:doi/10.3390/en17061307&rft_dat=%3Cgale_doaj_%3EA788246383%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c400t-f9229d401a1e7e42de4f76a2f6b19254ae5677cf28bc4c05d4b5e066b956f62e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3001178659&rft_id=info:pmid/&rft_galeid=A788246383&rfr_iscdi=true |