Multi-criteria optimization for the design and operation of distributed energy systems considering sustainability dimensions

Abstract The growing concerns about climate change and energy security have led to a shift in the paradigm of the energy framework. In this regard, distributed generation offers the possibility to deal with inefficiencies in energy delivering, and the fossil fuel dependence of conventional and centralized power plants. This work presents a modeling and multi-criteria optimization strategy for designing and operating decentralized power plants including different energy vectors. The modeling approach considers the time-varying operation of the energy conversion units for responding to electricity and hydrogen demands, along with the seasonal behavior of the storage system. A multi-criteria evaluation addressing economic, environmental and social aspects was implemented. The objective functions are the total annualized cost, the CO2 emissions and the grid dependence. According to optimization results, it is highlighted the influence of the assessed criteria upon the structure and the operating policy of the power plant. Additionally, by comparing the performance of the distributed energy system with respect to a centralized scenario, it is noted the significant potential of the decentralized generation. Indeed, depending on the optimization goal, CO2 emission reduction up to 89%, and self-sufficiency up to 81% can be achieved.

[1]  Efstratios N. Pistikopoulos,et al.  An energy systems engineering approach for the design and operation of microgrids in residential applications , 2013 .

[2]  Christos A. Frangopoulos,et al.  Recent developments and trends in optimization of energy systems , 2018, Energy.

[3]  Maria Madalena Teixeira de Araújo,et al.  The inclusion of social aspects in power planning , 2011 .

[4]  A. Azapagic,et al.  Sustainability assessment of energy systems: Integrating environmental, economic and social aspects , 2014 .

[5]  Chandima Gomes,et al.  Hydrogen as an energy carrier: Prospects and challenges , 2012 .

[6]  Diana Gallego Carrera,et al.  Sustainability assessment of energy technologies via social indicators: Results of a survey among European energy experts , 2010 .

[7]  Adisa Azapagic,et al.  Sustainability indicators for the assessment of nuclear power , 2011 .

[8]  Xavier Pelet,et al.  Multiobjective optimisation of integrated energy systems for remote communities considering economics and CO2 emissions , 2005 .

[9]  Andreas Rieder,et al.  Multi criteria dynamic design optimization of a small scale distributed energy system , 2014 .

[10]  Yuping Lu,et al.  Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices , 2019, Applied Energy.

[11]  Meihong Wang,et al.  Energy storage technologies and real life applications – A state of the art review , 2016 .

[12]  Fatihah Suja,et al.  The anaerobic digestion process of biogas production from food waste: Prospects and constraints , 2019 .

[13]  François Maréchal,et al.  Multi-objective, multi-period optimization of district energy systems: IV – A case study , 2015 .

[14]  Juan García-Serna,et al.  New trends for design towards sustainability in chemical engineering: Green engineering , 2007 .

[15]  Lazaros G. Papageorgiou,et al.  A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level , 2012 .

[16]  Peter B. Luh,et al.  Design optimization of a distributed energy system through cost and exergy assessments , 2017 .

[17]  S Gatehouse,et al.  Test‐Retest Reliability of Loudness Scaling , 1996, Ear and hearing.

[18]  Miao Li,et al.  Economic and environmental optimization for distributed energy resource systems coupled with district energy networks , 2016 .

[19]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[20]  Juan D. Fonseca,et al.  Trends in design of distributed energy systems using hydrogen as energy vector: A systematic literature review , 2019, International Journal of Hydrogen Energy.

[21]  Santanu Bandyopadhyay,et al.  Design and optimization of isolated energy systems through pinch analysis , 2011 .

[22]  Albert Hiesl,et al.  On the role of storage for electricity in smart energy systems , 2020, Energy.

[23]  José L. Bernal-Agustín,et al.  Multi-objective design of PV–wind–diesel–hydrogen–battery systems , 2008 .

[24]  Dirk Müller,et al.  Optimal design of decentralized energy conversion systems for smart microgrids using decomposition methods , 2018, Energy.

[25]  Ibrahim Dincer,et al.  Smart energy solutions with hydrogen options , 2018 .

[26]  Pierluigi Siano,et al.  Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects , 2018 .

[27]  Paulien M. Herder,et al.  Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems , 2016 .

[28]  E. MacA. Gray,et al.  Optimization of renewable hybrid energy systems – A multi-objective approach , 2019, Renewable Energy.

[29]  Kari Alanne,et al.  Distributed energy generation and sustainable development , 2006 .

[30]  François Maréchal,et al.  Methods for multi-objective investment and operating optimization of complex energy systems , 2012 .

[31]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[32]  Jan Carmeliet,et al.  Ten questions concerning modeling of distributed multi-energy systems , 2019, Building and Environment.

[33]  Gianluigi Lo Basso,et al.  Hydrogen to link heat and electricity in the transition towards future Smart Energy Systems , 2016 .

[34]  Neven Duić,et al.  Economical, environmental and exergetic multi-objective optimization of district heating systems on hourly level for a whole year , 2019, Applied Energy.

[35]  Daniel S. Kirschen,et al.  Centralised and distributed electricity systems , 2008 .

[36]  Yun Yang,et al.  An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems , 2015 .

[37]  Yekang Ko,et al.  Socio-technical evolution of Decentralized Energy Systems: A critical review and implications for urban planning and policy , 2016 .

[38]  Peter B. Luh,et al.  Multi-objective operation optimization of a Distributed Energy System for a large-scale utility customer , 2016 .

[39]  D. Parra,et al.  A review on the role, cost and value of hydrogen energy systems for deep decarbonisation , 2019, Renewable and Sustainable Energy Reviews.

[40]  D. Himmelblau,et al.  Optimization of chemical process , 2001 .

[41]  Qiong Wu,et al.  Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects , 2010 .

[42]  C. Floudas.  Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications , 1995 .

[43]  Persson Tobias,et al.  Biomethane: Status and Factors Affecting Market Development and Trade , 2014 .

[44]  Adisa Azapagic,et al.  Design and environmental sustainability assessment of small-scale off-grid energy systems for remote rural communities , 2020 .

[45]  Ali Elkamel,et al.  Multi-objective Optimization for Design and Operation of Distributed Energy Systems through the Multi-energy Hub Network Approach , 2016 .

[46]  N. Duić,et al.  Multi-objective optimization of district heating and cooling systems for a one-year time horizon , 2019, Energy.

[47]  Marco Mazzotti,et al.  Optimal design of multi-energy systems with seasonal storage , 2017, Applied Energy.

[48]  Armin Schnettler,et al.  Multi-objective optimization and simulation model for the design of distributed energy systems , 2016 .

[49]  Patrick Lichtner,et al.  Indicator system for the sustainability assessment of the German energy system and its transition , 2017 .

[50]  E. Skoplaki,et al.  ON THE TEMPERATURE DEPENDENCE OF PHOTOVOLTAIC MODULE ELECTRICAL PERFORMANCE: A REVIEW OF EFFICIENCY/ POWER CORRELATIONS , 2009 .

[51]  K. Sathish Kumar,et al.  A review on hybrid renewable energy systems , 2015 .