首页 | 本学科首页   官方微博 | 高级检索  
     


The value of flexibility for pulp mills investing in energy efficiency and future biorefinery concepts
Authors:Elin Svensson  Thore Berntsson  Ann‐Brith Strömberg
Affiliation:1. Heat and Power Technology, Department of Energy and Environment, Chalmers University of Technology, G?teborg, Sweden;2. Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, G?teborg, Sweden
Abstract:Changing conditions in biomass and energy markets require the pulp and paper industry to improve energy efficiency and find new opportunities in biorefinery implementation. Considering the expected changes in the pulp mill environment and the variety of potential technology pathways, flexibility should be a strong advantage for pulp mills. In this context, flexibility is defined as the ability of the pulp mill to respond to changing conditions. The aim of this article is to show the potential value of flexibility in the planning of pulp mill energy and biorefinery projects and to demonstrate how this value can be incorporated into models for optimal strategic planning of such investments. The paper discusses the requirements on the optimization models in order to adequately capture the value of flexibility. It is suggested that key elements of the optimization model are multiple points in time where investment decisions can be made as well as multiple scenarios representing possible energy price changes over time. The use of a systematic optimization methodology that incorporates these model features is illustrated by a case study, which includes opportunities for district heating cooperation as well as for lignin extraction and valorization. A quantitative valuation of flexibility is provided for this case study. The study also demonstrates how optimal investment decisions for a pulp mill today are influenced by expected future changes in the markets for energy and bioproducts. Copyright © 2014 John Wiley & Sons, Ltd.
Keywords:energy efficiency  forest biorefinery  process integration  investment under uncertainty  multistage stochastic programming  energy price scenarios
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号