Hourly optimization and sizing of district heating systems considering building refurbishment – Case study for the city of Zagreb

District heating plays a crucial role in future energy systems due to its beneficial impacts on the overall flexibility and efficiency of the energy system as a whole. In order to fully utilize its benefits, the sizing and operation of said systems needs to be optimized. This is a computationally difficult task due to a large number of parameters that need to be considered and calculated. Another issue is a need for long optimization horizons of at least one year, in order to capture seasonal, and a small time step of 1 h or less, to capture intraday variations. The goal of this work has been the development and demonstration of an optimization model capable of handling both the sizing and the operation of a district heating system based on a heat only boiler, solar thermal collectors, electric heaters, heat pumps and thermal energy storage units while considering building refurbishment. The model has been implemented on nine scenarios. The results of the analysis have demonstrated the economic and environmental benefits of the utilization of highly efficient and renewable energy sources in the proposed system.

[1]  H. Ravn,et al.  The role of district heating in the future Danish energy system , 2012 .

[2]  Jonathan Currie,et al.  Opti: Lowering the Barrier Between Open Source Optimizers and the Industrial MATLAB User , 2012 .

[3]  Goran Krajačić,et al.  Planning for a 100% independent energy system based on smart energy storage for integration of renewables and CO2 emissions reduction , 2011 .

[4]  Geoffrey P. Hammond,et al.  Potential for use of heat rejected from industry in district heating networks, GB perspective , 2014 .

[5]  Mauro Reini,et al.  Optimization of a Distributed Cogeneration System with solar district heating , 2014 .

[6]  Goran Krajačić,et al.  Evaluation of integration of solar energy into the district heating system of the City of Velika Gorica , 2015 .

[7]  Goran Krajačić,et al.  Role of District Heating in Systems with a High Share of Renewables: Case Study for the City of Osijek , 2016 .

[8]  Christoph Koch,et al.  The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets , 2012 .

[9]  Neven Duić,et al.  Performance Analysis of a Hybrid District Heating System: A Case Study of a Small Town in Croatia , 2015 .

[10]  F. L. Lansing,et al.  High performance flat plate solar collector , 1976 .

[11]  Anders N. Andersen,et al.  Booster heat pumps and central heat pumps in district heating , 2016 .

[12]  Ruzhu Wang,et al.  A review of available technologies for seasonal thermal energy storage , 2014 .

[13]  Goran Krajačić,et al.  Possibility of Heat Pump Use in Hot Water Supply Systems , 2016 .

[14]  Communication from the European commission to the council, the European parliament, the economic and social committee and committee of the regions , 2002 .

[15]  Pauline Gabillet,et al.  Energy supply and urban planning projects: Analysing tensions around district heating provision in a French eco-district , 2015 .

[16]  Gonzalo Guillén-Gosálbez,et al.  Enhanced thermal energy supply via central solar heating plants with seasonal storage: A multi-objective optimization approach , 2016 .

[17]  D. Trier,et al.  Solar District Heating Guidelines , 2011 .

[18]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[19]  Henrik Lund,et al.  A renewable energy system in Frederikshavn using low-temperature geothermal energy for district heating , 2011 .

[20]  Brian Vad Mathiesen,et al.  Heat roadmap China: New heat strategy to reduce energy consumption towards 2030 , 2015 .

[21]  Dagnija Blumberga,et al.  Analysis of the Impact of Decreasing District Heating Supply Temperature on Combined Heat and Power Plant Operation , 2014 .

[22]  Karin Ericsson,et al.  Low-carbon district heating in Sweden – Examining a successful energy transition , 2014 .

[23]  Niccolò Aste,et al.  District heating in Lombardy Region (Italy): Effects of supporting mechanisms , 2015 .

[24]  B. Möller,et al.  Comparison of district heating expansion potential based on consumer-economy or socio-economy , 2016 .

[25]  Goran Krajačić,et al.  Comparative analysis of the district heating systems of two towns in Croatia and Denmark , 2015 .

[26]  Thomas F. Edgar,et al.  Optimal scheduling of combined heat and power plants using mixed-integer nonlinear programming , 2014 .

[27]  Alemayehu Gebremedhin Optimal utilisation of heat demand in district heating system—A case study , 2014 .

[28]  D. F. Dominkovi A hybrid optimization model of biomass trigeneration system combined with pit thermal energy storage , 2016 .

[29]  Lisa Branchini,et al.  Smart District Heating: Distributed Generation Systems’ Effects on the Network , 2015 .

[30]  Ricardo Chacartegui,et al.  Evaluation of the potential of natural gas district heating cogeneration in Spain as a tool for decarbonisation of the economy , 2016 .

[31]  Nikolaos E. Koltsaklis,et al.  A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints , 2015 .

[32]  Gianfranco Rizzo,et al.  The interaction between intermittent renewable energy and the electricity, heating and transport sectors. , 2012 .

[33]  Goran Krajačić,et al.  Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles , 2016 .

[34]  Neven Duić,et al.  Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia , 2014 .