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An open spatial optimisation model to assess economically sustainable national district heating potential

Fattori, Fabrizio (författare)
Energy Department, Politecnico di Milano, Italy
Dénarié, Alice (författare)
Energy Department, Politecnico di Milano, Italy
Spirito, Giulia (författare)
Energy Department, Politecnico di Milano, Italy
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Macchi, Samuel (författare)
Energy Department, Politecnico di Milano, Italy
Pozzi, Marianna (författare)
Energy Department, Politecnico di Milano, Italy
Motta, Mario (författare)
Energy Department, Politecnico di Milano, Italy
Persson, Urban, Dr. 1961- (författare)
Högskolan i Halmstad,Akademin för företagande, innovation och hållbarhet
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 (creator_code:org_t)
2021
2021
Engelska.
Ingår i: Book of Abstracts : 7th International Conference on Smart Energy Systems.
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • The economical sustainability of DH compared to individual heating systems depends on the cost of producing heat, transporting and distributing it. Assessing economically sustainable potential of district heating DH thus requires the ability to combine this costs, detecting the relative distance of sources and demands and the density of demand, comparing it to the alternative solution. In this work we present an open model, based on the Oemof modelling framework, which is able to take into account the possibility of connecting sources and demands on national scale level with a high spatial resolution. The model considers the investment and operating costs of production and distribution of heat in competition with the individual heating systems costs specific to each area. The end result is the most economically viable heat supply configuration, identifying the demand shares where the most cost-effective solutions are individual systems or DH and its composition in terms of energy sources. The model is part of the method used for the assessment of district heating potential in Italy. The latter is based on GIS maps of both energy demand, waste and renewable heat sources. Of the 114 TWh of potential demand for DH, 38 TWh are those that the optimisation suggests could be economically served by DH. The composition is mostly waste heat, 22 TWh, geothermal heat, 11 TWh and a minority of solar thermal, 2 TWh with 3 TWH of natural gas CHP back up.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Infrastrukturteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Infrastructure Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)

Nyckelord

DH potential
Oemof
allocation
GIS
energy system optimisation
Smart Cities and Communities
Smarta städer och samhällen

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