Technical and economic analysis of electricity generation from forest, fossil, and wood-waste fuels in a Finnish heating plant

The Finnish energy industry is subject to policy decisions regarding renewable energy production and energy efficiency. Conventional electricity generation has environmental side-effects that may cause global warming. Renewable fuels are superior because they offer near-zero net emissions. In this s...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 36; no. 9; pp. 5579 - 5590
Main Author: Palander, Teijo
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.09.2011
Elsevier
Subjects:
adverse effects
Applied sciences
Combinatorial analysis
decision making
Decisions
Dynamic multiple-objective linear programming
economic analysis
Electricity
emissions
Energy
Energy efficiency
energy industry
Energy-flow model
Exact sciences and technology
Finland
Forest energy
Forest technology
Forests
fossils
Fuel mixtures
Fuels
fuels (fire ecology)
Global warming
heat
income
issues and policy
linear programming
prices
Procurement
renewable energy sources
supply chain
Finland
Energy-flow model
Energy efficiency
Dynamic multiple-objective linear programming
Forest energy
Forest technology
ISSN:0360-5442
Online Access:Get full text
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Summary:The Finnish energy industry is subject to policy decisions regarding renewable energy production and energy efficiency. Conventional electricity generation has environmental side-effects that may cause global warming. Renewable fuels are superior because they offer near-zero net emissions. In this study, I investigated a heating mill’s ability to generate electricity from forest fuels in southern Finland on a 1-year strategic decision-making horizon. I solved the electricity generation problem using optimization of the energy products and fuel mixtures based on energy efficiency and forest technology. The decision environment was complicated by the sequence-dependent procurement chains for forest fuels. The optimal product and fuel mixtures were selected by minimizing procurement costs, maximizing production revenues, and minimizing energy losses. The combinatorial complexity of the problem required the use of adaptive techniques to solve a multiple-objective linear programming system with industrial relevance. I discuss the properties of the decision-support system and methodology and illustrate pricing of electricity generation based on real industrial data. The electricity-generation, -purchase, and -sales decisions are made based on a comprehensive technical and economic analysis that accounts for procurement of local forest fuels in a holistic supply chain model. ► I use adaptive techniques to solve a multiple-objective linear programming system with industrial relevance. ► I investigated a heating mill’s ability to generate electricity from forest fuels. ► The electricity-generation, -purchase, and -sales decisions are made based on a comprehensive technical and economic analysis. ► The optimal product and fuel mixtures were selected by minimizing procurement costs, maximizing production revenues, and minimizing energy losses.
Bibliography:http://dx.doi.org/10.1016/j.energy.2011.07.014
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ISSN:0360-5442
DOI:10.1016/j.energy.2011.07.014