Smart municipal energy grid within electricity market

A smart municipal energy grid including electricity and heat production infrastructure and electricity demand response has been modeled in HOMER case study with the aim of decreasing total yearly community energy costs. The optimal configurations of used technologies (photovoltaic plants, combined heat and power plants, wind power plants) and sizing, with minimal costs, are presented and compared using three scenarios of average electricity market price 3.5 c€/kWh, 5 c€/kWh and 10 c€/kWh. Smart municipal energy grids will have an important role in future electricity markets, due to their flexibility to utilize excess electricity production from CHP and variable renewable energy sources through heat storage. This flexibility enables the levelized costs of energy within smart municipal energy grids to decrease below electricity market prices even in case of fuel price disturbances. With initial costs in the range 0–3,931,882 €, it has been shown that economical and environmental benefits of smart municipal energy grids are: the internal rate of return in the range 6.87–15.3%, and CO2 emissions in the range from −4,885,203 to 5,165,780 kg/year. The resulting realistic number of hours of operation of combined heat and power plants obtained by simulations is in the range 2410- 7849 h/year.

[1]  Morten Boje Blarke,et al.  Towards an intermittency-friendly energy system: Comparing electric boilers and heat pumps in distributed cogeneration , 2012 .

[2]  Brian Vad Mathiesen,et al.  A review of computer tools for analysing the integration of renewable energy into various energy systems , 2010 .

[3]  M. Kijevčanin,et al.  Electricity production from biogas in Serbia: Assessment of emissions reduction , 2016 .

[4]  Carlos Silva,et al.  Demand response modeling: A comparison between tools , 2015 .

[5]  Neven Duić,et al.  Increasing wind power penetration into the existing Serbian energy system , 2013 .

[6]  Ufuk Topcu,et al.  Optimal design of hybrid energy system with PV/wind turbine/storage: A case study , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[7]  F. Ludwig,et al.  Projections of future floods and hydrological droughts in Europe under a +2°C global warming , 2016, Climatic Change.

[8]  Sharifah Azwa Shaaya,et al.  Optimal combination of solar, wind, micro-hydro and diesel systems based on actual seasonal load profiles for a resort island in the South China Sea , 2015 .

[9]  Dimitri N. Mavris,et al.  Incorporating Electrical Distribution Network Structure into Energy Portfolio Optimization for an Isolated Grid , 2013, CSER.

[10]  R. M. Ciric,et al.  Optimal distributed generation planning at a local level – A review of Serbian renewable energy development , 2014 .

[11]  Anders Malmquist,et al.  Feasibility study of using a biogas engine as backup in a decentralized hybrid (PV/wind/battery) power generation system : Case study Kenya , 2015 .

[12]  Rubin Taleski,et al.  Microgrids: The agria test location , 2010 .

[13]  C. Mitchell Momentum is increasing towards a flexible electricity system based on renewables , 2016, Nature Energy.

[14]  Neven Duić,et al.  Economic viability and geographic distribution of centralized biogas plants: case study Croatia , 2012, Clean Technologies and Environmental Policy.

[15]  Bratislav D. Blagojević,et al.  Effects of implementation of co-generation in the district heating system of the Faculty of Mechanical Engineering in Niš , 2010 .

[16]  Kankar Bhattacharya,et al.  Optimal planning and design of a renewable energy based supply system for microgrids , 2012 .

[17]  Goran Krajačić,et al.  Integrating the flexibility of the average Serbian consumer as a virtual storage option into the planning of energy systems , 2014 .

[18]  Nikola Rajaković,et al.  Cost-saving potential of customer-driven distributed generation , 2012 .

[19]  Tong Seop Kim,et al.  Comparative economic analysis of gas turbine-based power generation and combined heat and power systems using biogas fuel , 2014 .

[20]  Neven Duić,et al.  A hybrid optimization model of biomass trigeneration system combined with pit thermal energy storage. , 2015 .

[21]  Goran Krajačić,et al.  Optimal hybrid renewable energy design in autonomous system using Modified Electric System Cascade Analysis and Homer software , 2016 .

[22]  Pierluigi Mancarella,et al.  Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options , 2014 .

[23]  Manuel Alcázar-Ortega,et al.  Integration of renewable energy in microgrids coordinated with demand response resources: Economic evaluation of a biomass gasification plant by Homer Simulator , 2014 .

[24]  Nikola Rajaković,et al.  Planning of the optimal energy mix for smart cities , 2017, 2017 IEEE Manchester PowerTech.

[25]  Fausto A. Canales,et al.  Modeling pumped hydro storage with the micropower optimization model (HOMER) , 2014 .

[26]  L. Kazmerski,et al.  Optimization and life-cycle cost of health clinic PV system for a rural area in southern Iraq using HOMER software , 2010 .

[27]  Jianhui Wang,et al.  Resilient Distribution System by Microgrids Formation After Natural Disasters , 2016, IEEE Transactions on Smart Grid.

[28]  M. Meuwissen,et al.  Economic analysis of anaerobic digestion—A case of Green power biogas plant in The Netherlands , 2010 .

[29]  Yongyun Cho,et al.  Optimization of a Hybrid Renewable Energy System with HOMER , 2015, CSA/CUTE.

[30]  Paras Mandal,et al.  Demand response for sustainable energy systems: A review, application and implementation strategy , 2015 .

[31]  Baxter David,et al.  The biogas handbook: Science, production and applications , 2013 .

[32]  R. Ciric,et al.  Techno-Economic Analysis of Biogas Powered Cogeneration , 2014 .

[33]  G. Göttlicher,et al.  REGIONAL ENERGY CONCEPTS – BASED ON ALTERNATIVE BIOMASS CULTIVATION FOR RURAL AREAS AND ITS EFFICIENT ENERGY USAGE , 2013 .

[34]  Timothy M. Weis,et al.  The utility of energy storage to improve the economics of wind–diesel power plants in Canada , 2008 .

[35]  Koraljka Kovacevic Markov,et al.  Investment decisions in the photovoltaic power plant in terms of the market bearing in mind the physical limitations of the transmission network , 2016, 2016 International Symposium on Industrial Electronics (INDEL).

[36]  Slobodan Cvetković,et al.  Potentials and status of biogas as energy source in the Republic of Serbia , 2014 .

[37]  Milan Martinov,et al.  New method for assessing the performance of agricultural biogas plants , 2012 .

[38]  Dias Haralambopoulos,et al.  Distributed Generation in an isolated grid: Methodology of case study for Lesvos – Greece , 2011 .

[39]  Martin Dotzauer,et al.  Flexible bioenergy supply for balancing fluctuating renewables in the heat and power sector—a review of technologies and concepts , 2015, Energy, Sustainability and Society.