Optimal Management of the Energy Flows of Interconnected Residential Users

In recent years, residential users have begun to be equipped with micro-CHP (combined heat and power) generation technologies with the aim of decreasing primary energy consumption and reducing environmental impact. In these systems, the prime mover supplies both thermal and electrical energy, and an auxiliary boiler and the national electrical grid are employed as supplementary systems. In this paper, a simulation model, which accounts for component efficiency and energy balance, was developed to replicate the interaction between the users and the energy systems in order to minimize primary energy consumption. The simulation model identified the optimal operation strategy of two residential users by investigating different energy system configurations by means of a dynamic programming algorithm. The reference scenario was compared to three different scenarios by considering independent energy systems, shared thermal and electrical energy storage and also the shared prime mover. Such a comparison allowed the identification of the most suitable energy system configuration and optimized operation strategy. The results demonstrate that the optimized operation strategy smoothes the influence of the size of thermal and electrical energy storage. Moreover, the saving of primary energy consumption can be as high as 5.1%. The analysis of the economic feasibility reveals that the investment cost of the prime mover can be as high as 4000 €/kW.

[1]  Javier Echanobe,et al.  Modeling and multi-objective optimization of a complex CHP process , 2016 .

[2]  Mohamed Benbouzid,et al.  Microgrids energy management systems: A critical review on methods, solutions, and prospects , 2018, Applied Energy.

[3]  Yacine Rezgui,et al.  Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm , 2019, Applied Energy.

[4]  François Maréchal,et al.  Predictive optimal management method for the control of polygeneration systems , 2009, Comput. Chem. Eng..

[5]  Jonas Allegrini,et al.  A review of modelling approaches and tools for the simulation of district-scale energy systems , 2015 .

[6]  Michele Pinelli,et al.  Dynamic programming based methodology for the optimization of the sizing and operation of hybrid energy plants , 2019, Applied Thermal Engineering.

[7]  Mauro Venturini,et al.  Advances and challenges in ORC systems modeling for low grade thermal energy recovery , 2014 .

[8]  Kaveh Dehghanpour,et al.  A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids , 2017 .

[9]  E. Telaretti,et al.  A Simple Operating Strategy of Small-Scale Battery Energy Storages for Energy Arbitrage under Dynamic Pricing Tariffs , 2015 .

[10]  P. R. Spina,et al.  Analysis of innovative micro-CHP systems to meet household energy demands , 2012 .

[11]  Stefano Squartini,et al.  Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies , 2015 .

[12]  Kallol Roy,et al.  Analysis of energy management in micro grid – A hybrid BFOA and ANN approach , 2018 .

[13]  Shiwei Yu,et al.  A dynamic programming model for environmental investment decision-making in coal mining , 2016 .

[14]  Zita Vale,et al.  A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads , 2016 .

[15]  Anders N. Andersen,et al.  A method for assessing support schemes promoting flexibility at district energy plants , 2018, Applied Energy.

[16]  Christof Wittwer,et al.  Decentralised optimisation of cogeneration in virtual power plants , 2010 .

[17]  Un Desa Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .

[18]  Gianfranco Rizzo,et al.  Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage , 2012 .

[19]  Marco Pritoni,et al.  Categories and functionality of smart home technology for energy management , 2017 .

[20]  Vida N. Sharifi,et al.  Optimisation of combined heat and power production for buildings using heat storage , 2014 .

[21]  Chul-Hwan Kim,et al.  Optimal Scheduling of Hybrid Energy Resources for a Smart Home , 2018 .

[22]  Mirko Morini,et al.  Optimization of Load Allocation Strategy of a Multi-source Energy System by Means of Dynamic Programming , 2015 .

[23]  D. Brett,et al.  A modelling study for the integration of a PEMFC micro-CHP in domestic building services design , 2018, Applied Energy.

[24]  Yi Jiang,et al.  Characteristics Analysis of the Heat-to-Power Ratio from the Supply and Demand Sides of Cities in Northern China , 2020, Energies.

[25]  Pavlos S. Georgilakis Review of Computational Intelligence Methods for Local Energy Markets at the Power Distribution Level to Facilitate the Integration of Distributed Energy Resources: State-of-the-art and Future Research , 2020 .

[26]  Eric S. Fraga,et al.  Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration , 2015 .

[27]  Sami Kara,et al.  The optimal selection of on-site CHP systems through integrated sizing and operational strategy , 2014 .

[28]  M. Lehtonen,et al.  Analyzing the optimal coordination of a residential micro-CHP system with a power sink , 2015 .

[29]  Rebecca Ford,et al.  What’s energy management got to do with it? Exploring the role of energy management in the smart home adoption process , 2018, Energy Efficiency.

[30]  Kristina Orehounig,et al.  Integration of decentralized energy systems in neighbourhoods using the energy hub approach , 2015 .

[31]  Carlo Roselli,et al.  Integration between electric vehicle charging and micro-cogeneration system , 2015 .

[32]  Yuehong Su,et al.  A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization , 2019, Energies.

[33]  Evgueniy Entchev,et al.  Exploring the potential synergy between micro-cogeneration and electric vehicle charging , 2014 .

[34]  Nicola Bianco,et al.  Economic optimization of a residential micro-CHP system considering different operation strategies , 2016 .

[35]  Bohumil Horák,et al.  A review of micro combined heat and power systems for residential applications , 2016 .

[36]  Tony Roskilly,et al.  Dynamic programming for optimal operation of a biofuel micro CHP-HES system , 2017 .

[37]  D Mertens,et al.  Micro-CHP systems for residential applications , 2006 .

[38]  Beni Cukurel,et al.  Economic Dispatch of a Single Micro-Gas Turbine Under CHP Operation with Uncertain Demands , 2017, ArXiv.

[39]  Francesco Melino,et al.  Influence of the thermal energy storage on the profitability of micro-CHP systems for residential building applications , 2012 .

[40]  Lisa Branchini,et al.  Application of environmental performance assessment of CHP systems with local and global approaches , 2014 .

[41]  Pierluigi Siano,et al.  A Survey on Microgrid Energy Management Considering Flexible Energy Sources , 2019, Energies.

[42]  Mauro Venturini,et al.  Development of a Simulation Model of Transient Operation of Micro-Combined Heat and Power Systems in a Microgrid , 2018 .

[43]  Hui Wang,et al.  Optimal Capacity Configuration of a Hybrid Energy Storage System for an Isolated Microgrid Using Quantum-Behaved Particle Swarm Optimization , 2018 .

[44]  Alessandro Bellissima,et al.  Development of an optimization algorithm for the energy management of an industrial Smart User , 2017 .

[45]  P. R. Spina,et al.  Minimization of the primary energy consumption of residential users connected by means of an energy grid , 2019, SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019.

[46]  Y. Yoon,et al.  Application of Artificial Neural Network for the Optimum Control of HVAC Systems in Double-Skinned Office Buildings , 2019, Energies.

[47]  Paolo De Pascali,et al.  Energy Transition and Urban Planning for Local Development. A Critical Review of the Evolution of Integrated Spatial and Energy Planning , 2018, Energies.

[48]  Eric S. Fraga,et al.  An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study , 2015 .

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

[50]  Inmaculada Zamora,et al.  Plug-in electric vehicles in electric distribution networks: A review of smart charging approaches , 2014 .

[51]  Andrea Luigi Facci,et al.  Analysis of a fuel cell combined heat and power plant under realistic smart management scenarios , 2018 .

[52]  I. Sârbu,et al.  A Comprehensive Review of Thermal Energy Storage , 2018 .

[53]  Mutasim Nour,et al.  Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network , 2019, Energies.

[54]  Hongbo Ren,et al.  A MILP model for integrated plan and evaluation of distributed energy systems , 2010 .

[55]  Chris Marnay,et al.  Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models , 2015 .

[56]  Wolf Fichtner,et al.  Energy autonomy in residential buildings: a techno-economic model-based analysis of the scale effects , 2017 .

[57]  Fariborz Haghighat,et al.  Optimization approaches in district heating and cooling thermal network , 2017 .

[58]  Antonio Rosato,et al.  Energy, economic and environmental performance simulation of a hybrid renewable microgeneration system with neural network predictive control , 2016 .

[59]  Elizabeth Chang,et al.  Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions , 2018, Energies.

[60]  Alberto Berrueta,et al.  Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants , 2018, Applied Energy.

[61]  Louay M. Chamra,et al.  Cost-optimized real-time operation of CHP systems , 2009 .