Article

Synthesis of regional networks for the supply of energy and bioproducts

Clean Technologies and Environmental Policy (Impact Factor: 1.83). 12(6):635-645. DOI: 10.1007/s10098-010-0312-6

ABSTRACT This article presents a method for the synthesis of regional renewable energy supply chains, based on Mixed-Integer Linear
Programming (MILP). This method addresses the challenges presented by biomass resources. The main challenges are the distributive
and varied availabilities regarding both location and time. This work also aims to maximise the economically viable utilisation
of resources, accounting for the competition between energy and food production. A four-layer supply chain superstructure
has been developed, which includes the harvesting, preparation, core processing and distribution of products. This considered
system’s boundaries involve a region, which is then divided into zones for optimising conversion operations and transportation
flows. An MILP model has been formulated with profit maximisation as the optimisation criterion. The environmental impact
is evaluated by the carbon footprint. The sensitivity of the optimal solutions is analysed for different regions’ sizes, transportation
costs, pre-processing alternatives and the co-production of food and energy.

KeywordsBiomass supply chains-Bioenergy generation-Carbon footprint-Regional energy and food networks

0 Bookmarks
 · 
99 Views
  • Source
  • [Show abstract] [Hide abstract]
    ABSTRACT: Universities around Europe are currently adopting the new Bologna three-cycle study system and most of Chemical Engineering departments have already developed new study programs accordingly. In this respect, two main questions have been posed in order to reorganize current chemical engineering study programs: i) which skills and knowledge, common to all chemical engineers, should not be ignored whilst developing new chemical engineer curricula, and ii) which are the other chemical engineering topics, engineering fields, and non-engineering knowledge necessary for engineers to manage those problems of specific current and future (bio)chemical and process related industries. One of the aims of this presentation is to discuss basic learning outcomes, and recommended topics common to all chemical engineers, especially relating to those process systems engineering aspects to be embedded within new study programs requiring the use of computer-aided methods and tools during chemical engineering education. The uses for these methods and tools will be discussed shortly, among them the development of new computer-aided methods and tools, multimedia internet-based teaching and learning programs, and cyberinfrastrucure-based virtual libraries.
    Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on; 01/2011
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Continuous multiproduct plants allow the production of several products (product grades). During grade transitions off-spec products are produced. The economic losses and the environmental impact of these transitions are sequence dependent, so the amount of off-grade products can be minimized by scheduling the sequence of the production of different products. Applying parallel production sites (m) increases the flexibility of multiproduct plants. Since market demands are changing, the production cycles of these sites should be re-scheduled in certain intervals. Therefore, our task is to design m production cycles that contains all required products by minimizing the total length of grade transitions. Most production scheduling problems such as the one considered in this paper are NP-hard. Our goal is to solve realistic problem instances in no more than a couple of minutes. We show that this problem can be considered as a multiple traveling salesmen problem (mTSP), where the distances between the products are based on the time or costs of the grade transitions. The resulted mTSP has been solved by multi-chromosome based genetic algorithm. The proposed algorithm was implemented in MATLAB and is available at the website of the authors (www.abonyilab.com). For demonstration purposes, we present an illustrative example. The results show that multiproduct multisite scheduling problems can be effectively handled as mTSPs, and the proposed problem-specific representation based genetic algorithm can be used in wide range of optimization problems
    Chemical Engineering Transactions 09/2014; 39:1825-1830. · 1.03 Impact Factor