AS Narva Elektrijaamad owns two the world’s largest oil shale-fired power plants – Balti Elektrijaam (Balti Power Plant) and Eesti Elektrijaam (Eesti Power Plant). The new fluidized-bed energy block No. 11 of Balti Power Plant is operated in cogeneration mode to provide the district-heating system of Narva. The energy market prices of heat for all consumer groups have increased significantly. High heat losses and poor technical condition of the old district-heating networks decrease the future of centralized heating, and consumers make choice in favor of local heating. High heat losses of Narva district heating are caused by poor thermal insulation and over-dimensioning of pipes. Objective estimation of actual conditions of district-heating networks and technical-economical argumentation for renovation and expansion of networks should be carried out to increase the share of heat production based on CHP and to decrease fuel consumption. For minimization of heat distribution expenses DH network should be optimized. The opportunities of building heat supply alternatives in Narva are also investigated. Four scenarios of heat supply alternatives were analyzed using energy planning models.
1. Fredriksen, S., Werner, S.Fjärrvärme. District Heating. Theory, Technology and Functioning. – Lund, 1993 [in Swedish].
2. Bøhm, B. Energy-economy of Danish District Heating Systems. A Technical and Economic Analysis. – Technical University of Denmark. Copenhagen, 1988.
3. Frederiksen, S. A Thermodynamic Analysis of District Heating. – Lund Institute of Technology. Lund, 1982.
4. Koskelainen, L. A Model for Optimal Design of District Heating Networks. – Lappeenranta University of Technology. Lappeenranta, 1978.
5. Phetteplace, G. Optimal Design of Piping Systems for District Heating. CRREL Report 95-17. – U.S. Army Corps of Engineers. Cold Regions Research and Engineering Laboratory. Hanover, 1995.
6. Benonysson, A. Dynamic Modelling and Operational Optimization of District Heating Systems. PhD Thesis. – Laboratory of Heating and Air Conditioning. Technical University of Denmark. September 1991.
7. Larsen, H., Pallson, H., Bøhm, B., Ravn, H. Aggregated dynamic simulation model of district heating networks // Energy Convers. Manage. 2002. Vol. 43, No. 8. P. 995–1019.
doi:10.1016/S0196-8904(01)00093-0
8. Kozin, V. E. et al. Heat Supply. – Moscow, Vysshaya shkola. 1980 [in Russian].
9. Van Beeck, N. Classification of Energy Models. – Tilburg University & Eindhoven University of Technology, 1999. P. 7.
10. Lund, H. EnergyPlan Advanced Energy Systems Analysis Computer Model. – Denmark, 2008. P. 8. http://www.energyplan.eu/
11. Clean Energy Decision Support Centre. Clean Energy Project Analysis RETScreen® Engineering & Cases Textbook. Third Edition. – Canada, 2005. P. 32, 63–64. www.retscreen.net
