Article

Synthesis of regional networks for the supply of energy and bioproducts

Clean Technologies and Environmental Policy (Impact Factor: 1.93). 12/2010; 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

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    • "The relatively low energy density (energy per unit volume) of most raw biomass feedstocks tends to increase the cost, emissions and complexity of supply chain. Therefore, the developments of complete procedure for regional energy supply optimization become an important task [4] "
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    ABSTRACT: Continuous multi-product 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 increases the flexibility of multi-product 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 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 [1]. For demonstration purposes, we present an illustrative example. The results show that multi-product multi-site 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.
    Full-text · Article · Jan 2016 · Journal of Cleaner Production
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    • "There is a need for establishing a renewable network for obtaining maximal benefits from LIES implementation based on renewables. The optimal functioning of renewables' supply networks has already been analysed elsewhere, e.g. in [29], and for large systems in [30]. The organisation of a renewable network comprising the supply, technology and demand sections is required and it was presented by Kostevšek et al. [19]. "
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    ABSTRACT: The decarbonisation of energy systems is one of the important issues of the present energy policies. One of the ways of achieving this is to focus on local energy systems, thus ensuring as much as possible their heat and power self-sufficiency by applying local renewable resource integration and transformation of the renewable energy. Increasing the share of renewables within the local energy balance could be accomplished by using a variety of approaches. One possibility is combining the Locally Integrated Energy Sectors’ concept with the novel management and organisation of a renewables-based network. As a first priority, the proposed comprehensive approach focuses on increasing the energy efficiency of municipal heat and power systems using the Locally Integrated Energy Sectors’ concept, which is followed by the integration of renewable energy sources with the establishment of a renewable-based network. The proposed approach is illustrated by a case study of district heating based on wood biomass for the municipality Ormož, Slovenia by integrating various end-users from different sectors.
    Full-text · Article · Jan 2015 · Applied Thermal Engineering
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    • "Therefore, the developments of complete procedure for regional energy supply optimisation become important task. (Čuček et al., 2010) The goal of this paper is the development production planning and scheduling algorithm for parallel (multisite ) continuous processes in the presence of sequence-dependent switchover times. A similar problem is already studied in (Kopanos et al., 2011). "
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    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
    Full-text · Article · Sep 2014 · Chemical Engineering Transactions
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