Identification and Evaluation of Cases for Excess Heat Utilisation Using GIS

Fabian Bühler, Stefan Petrović, Torben Ommen, Fridolin Müller Holm, Henrik Pieper and Brian Elmegaard
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Fabian Bühler: Department of Mechanical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Stefan Petrović: Department of Management Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Torben Ommen: Department of Mechanical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Fridolin Müller Holm: Viegand Maagøe A/S, 1364 København, Denmark
Henrik Pieper: Department of Mechanical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Brian Elmegaard: Department of Mechanical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark

Energies, 2018, vol. 11, issue 4, 1-24

Abstract: Excess heat is present in many sectors, and its utilization could reduce the primary energy use and emission of greenhouse gases. This work presents a geographical mapping of excess heat, in which excess heat from the industry and utility sector was distributed to specific geographical locations in Denmark. Based on this mapping, a systematic approach for identifying cases for the utilization of excess heat is proposed, considering the production of district heat and process heat, as well as power generation. The technical and economic feasibility of this approach was evaluated for six cases. Special focus was placed on the challenges for the connection of excess heat sources to heat users. To account for uncertainties in the model input, different methods were applied to determine the uncertainty of the results and the most important model parameters. The results show how the spatial mapping of excess heat sources can be used to identify their utilization potentials. The identified case studies show that it can be economically feasible to connect the heat sources to the public energy network or to use the heat to generate electricity. The uncertainty analysis suggests that the results are indicative and are particularly useful for a fast evaluation, comparison and prioritization of possible matches. The excess heat temperature and obtainable energy price were identified as the most important input parameters.

Keywords: heat recovery; industry; utility; district heating; power generation; excess heat; energy efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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