NDLI: Optimal operation of hybrid power systems including renewable sources in the sugar cane industry

Content Provider	IET Digital Library
Author	Morato, Marcelo Menezes Mendes, Paulo Renato da Costa Rico, Julio Elias Normey Bordons, Carlos
Abstract	This study presents a control structure, based on model predictive control, applied to energy management optimisation in a sugar cane processing plant including renewable sources. The proposed energy plant is set upon a sugar cane processing industry and has to produce and maintain an amount of electric power throughout the year, defined by contract. This plant is, also, bound to produce flows of steam in different pressures, to comply to the demands of the production process of ethanol and sugar, from the sugar cane. The renewable sources in the system include photovoltaic, wind power generation and the use of biomass, from the remains of the sugar cane. The proposed control algorithm has the task of performing the management of which energy system to use (combined heat and power generation systems, boilers or others), maximise the use of renewable energy sources, maximise the gains of the boilers (that vary according to the biomass mixture used), manage the use of energy storages and supply the defined amount of energy. Simulation results show the satisfactory operation of the proposed control structure.
Starting Page	1237
Ending Page	1245
Page Count	9
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 8, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0443
Journal	IET Renewable Power Generation
Publisher Date	2017-01-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioenergy Conversion Biomass Boilers Cogeneration Combined Heat And Power Generation System Control Algorithm Control Application in Food Processing Industries Control of Electric Power System Control Structure Energy Management Optimisation Energy Management System Energy Storage Energy Storages Energy System Management Ethanol Production Process Food Industry Hybrid Power System Model Predictive Control Optimal Control Optimal Operation Optimisation Optimisation Technique Other Direct Energy Conversion Photovoltaic Power Generation Photovoltaic Power System Power Application in Food Processing Industries Power Generation Control Power System Economics Power System Managemen Power System Operation Predictive Control Renewable Energy Source Solar Power Stations Steam Flows Sugar Cane Industry Sugar Cane Processing Plant Sugar Industry Wind Power Generation Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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