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        <identifier>oai:drops-oai.dagstuhl.de:7628</identifier>
        <datestamp>2024-03-06T10:39:46Z</datestamp>
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          <dc:title>Designing Energy-Efficient Heat Recovery Networks using Mixed-Integer Nonlinear Optimisation</dc:title>
          <dc:creator>Baltean-Lugojan, Radu</dc:creator>
          <dc:creator>Floudas, Christodoulos A.</dc:creator>
          <dc:creator>Misener, Ruth</dc:creator>
          <dc:creator>Mistry, Miten</dc:creator>
          <dc:subject>Heat exchanger network</dc:subject>
          <dc:subject>Mixed-integer nonlinear optimisation</dc:subject>
          <dc:subject>Log mean temperature difference</dc:subject>
          <dc:subject>Deterministic global optimisation</dc:subject>
          <dc:description>Many industrial processes involve heating and cooling liquids: a quarter of the EU 2012 energy consumption came from industry and industry uses 73% of this energy on heating and cooling. We discuss mixed-integer nonlinear optimisation and its applications to energy efficiency. Our particular emphasis is on algorithms and solution techniques enabling optimisation for large-scale industrial networks. 

As a first application, optimising heat exchangers networks may increase efficiency in industrial plants. We develop deterministic global optimisation algorithms for a mixed-integer nonlinear optimisation model that simultaneously incorporates utility cost, equipment area, and hot/cold stream matches. We automatically recognise and exploit special mathematical structures common in heat recovery. We also computationally demonstrate the impact on the global optimisation solver ANTIGONE and benchmark large-scale test cases against heuristic approaches. 

As a second application, we discuss special structure in nonconvex quadratically-constrained optimisation problems, particularly through the lens of stream mixing and intermediate blending on process systems engineering networks. We take a parametric approach to uncovering topological structure and sparsity of the standard pooling problem in its p-formulation. We show that the sparse patterns of active topological structure are associated with a piecewise objective function. Finally, the presentation explains the conditions under which sparsity vanishes and where the combinatorial complexity emerges to cross over the P/NP boundary. We formally present the results obtained and their derivations for various specialised instances.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Radu Baltean-Lugojan and Christodoulos A. Floudas and Ruth Misener and Miten Mistry</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 75, 16th International Symposium on Experimental Algorithms (SEA 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SEA.2017.1</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-76288</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2017.1</dc:identifier>
          <dc:language>eng</dc:language>
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