Paper presented at the 5th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, South Africa, 1-4 July, 2007.
The collected district heating (DH) rehabilitation
experiences in economies in transition (ET) in Europe, financed
by international financing institutions (IFI), were analyzed.
Linear regression analysis was used when assuming the
benefits gained by investments in new pipelines, pumps, heat
exchanger stations (substations), heat metering, temperature
controllers, thermostatic radiators valves and heat cost
allocators. Based on the outcome, a computerized dynamic
model over time span was created by means of linear (LP) and
non-linear (NLP) programming under the GAMS1
programming environment that, based on the analyzed
experience, can optimize the DH rehabilitation strategy for a
given number of years in other DH systems being candidates
for comprehensive rehabilitation. The model was successfully
tested in a Russian type system.