Optimal energy management in pulp and paper mills

Sarimveis, HK; Angelou, AS; Retsina, TR; Rutherford, SR; Bafas, GV

dc.contributor.author	Sarimveis, HK	en
dc.contributor.author	Angelou, AS	en
dc.contributor.author	Retsina, TR	en
dc.contributor.author	Rutherford, SR	en
dc.contributor.author	Bafas, GV	en
dc.date.accessioned	2014-03-01T01:19:24Z
dc.date.available	2014-03-01T01:19:24Z
dc.date.issued	2003	en
dc.identifier.issn	0196-8904	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15464
dc.subject	Energy management	en
dc.subject	Mathematical programming	en
dc.subject	MILP	en
dc.subject	Pulp and paper	en
dc.subject.classification	Thermodynamics	en
dc.subject.classification	Energy & Fuels	en
dc.subject.classification	Mechanics	en
dc.subject.classification	Physics, Nuclear	en
dc.subject.other	Electricity	en
dc.subject.other	Energy utilization	en
dc.subject.other	Linear programming	en
dc.subject.other	Optimal systems	en
dc.subject.other	Paper and pulp mills	en
dc.subject.other	Power plants	en
dc.subject.other	Electricity costs	en
dc.subject.other	Energy management	en
dc.subject.other	Electricity	en
dc.subject.other	Linear Programing	en
dc.subject.other	Paper Mills	en
dc.subject.other	Power Plants	en
dc.subject.other	Pulp Mills	en
dc.title	Optimal energy management in pulp and paper mills	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0196-8904(02)00165-6	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0196-8904(02)00165-6	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	In this paper, we examine the utilization of mathematical programming tools for optimum energy management of the power plant in pulp and paper mills. The-objective is the fulfillment of the total plant requirements in energy and steam with the minimum possible cost. The proposed methodology is based on the development of a detailed model of the power plant using mass and energy balances and a mathematical formulation of the electrical purchase contract, which can be translated into a rigorous mixed integer linear programming optimization problem. The results show that the method can be a very useful tool for the reduction of production cost due to minimization of the fuel and electricity costs. (C) 2002 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Energy Conversion and Management	en
dc.identifier.doi	10.1016/S0196-8904(02)00165-6	en
dc.identifier.isi	ISI:000181227400008	en
dc.identifier.volume	44	en
dc.identifier.issue	10	en
dc.identifier.spage	1707	en
dc.identifier.epage	1718	en