Design and Operation of a Multicarrier Energy System Based On Multi Objective Optimization Approach
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Design and Operation of a Multicarrier Energy System Based On Multi Objective Optimization Approach

Authors: Azadeh Maroufmashat, Sourena Sattari Khavas, Halle Bakhteeyar

Abstract:

Multi-energy systems will enhance the system reliability and power quality. This paper presents an integrated approach for the design and operation of distributed energy resources (DER) systems, based on energy hub modeling. A multi-objective optimization model is developed by considering an integrated view of electricity and natural gas network to analyze the optimal design and operating condition of DER systems, by considering two conflicting objectives, namely, minimization of total cost and the minimization of environmental impact which is assessed in terms of CO2 emissions. The mathematical model considers energy demands of the site, local climate data, and utility tariff structure, as well as technical and financial characteristics of the candidate DER technologies. To provide energy demands, energy systems including photovoltaic, and co-generation systems, boiler, central power grid are considered. As an illustrative example, a hotel in Iran demonstrates potential applications of the proposed method. The results prove that increasing the satisfaction degree of environmental objective leads to increased total cost.

Keywords: Multi objective optimization, DER systems, Energy hub, Cost, CO2 emission.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1095955

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[1] Miah, M.S., N.U. Ahmed, and M. Chowdhury, Optimum policy for integration of renewable energy sources into the power generation system. Energy Economics, 2012. 34(2): p. 558-567.
[2] Moss, D.L., Kwoka, J.E. Competition policy and the transition to a lowcarbon, efficient electricity industry. The Electricity Journal. 2010 23 (7)
[3] Iran's Energy Balance, 2010, Institute for International Energy Studies Affiliated to Ministry of Petroleum, I.R. Iran
[4] CO2 Emissions from Fuel Combustion 2012, International Energy Agency
[5] Mehleri, E.D., et al., Optimal design and operation of distributed energy systems: Application to Greek residential sector. Renewable Energy, 2013. 51(0): p. 331-342
[6] Akorede MF, Hizam H, Rouresmaeil E. Distributed energy resources and benefits to the environment. Renewable and Sustainable Energy Reviews 2010; 14:724e34.
[7] Alanne, K. and A. Saari, Distributed energy generation and sustainable development. enewable and Sustainable Energy Reviews, 2006. 10(6): p. 539-558
[8] Carley S. Distributed generation: an empirical analysis of primary motivators. Energy Policy 2009; 37:1648e59.
[9] Hiremath RB, Shikha S, Ravindranath NH. Decentralised energy planning: Modeling and application-a review. Renewable and Sustainable Energy Reviews 2007; 11:729e52.
[10] Siddiqui AS, Firestone R, Ghosh S, Stadler M, Edwards JL, Marnay C. Distributed energy resources customer adoption modeling with combined heat and power applications. LBNL-52718; 2003.
[11] Heatmap manual. Washington State University; 2002.
[12] Georgilakis, P.S., State-of-the-Art of Decision Support Systems for the Choice of Renewable Energy Sources for Energy Supply in Isolated Regions. International Journal of Distributed Energy Resources, 2006. Volume 2 (Number 2): p. Pages 129-150.
[13] Hafez, O. and K. Bhattacharya, Optimal planning and design of a renewable energy based supply system for microgrids. Renewable Energy. 45(0): p. 7-15.
[14] Moghaddas-Tafreshi, S.M., H.A. Zamani, and S.M. Hakimi, Optimal sizing of distributed resources in micro grid with loss of power supply probability technology by using breeding particle swarm optimization. Journal of Renewable and Sustainable Energy, 2011. 3(4): p. 043105-17.
[15] Handschin E, Neise F, Neumann H, Schultz R. Optimal operation of dispersed generation under uncertainty using mathematical programming. International Journal of Electrical Power and Energy Systems 2006; 28:618e26.
[16] Ren H, Gao W. A MILP model for integrated plan and evaluation of distributed energy systems. Applied Energy 2010; 87:1001e14.
[17] Giannakoudis G, Papadopoulos AI, Seferlis P, Voutetakis S. "Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage." International Journal of Hydrogen Energy 2010; 35:872–891.
[18] Geidl, Martin, et al. "The Energy Hub–A powerful concept for future energy systems." Third annual Carnegie Mellon Conference on the Electricity Industry, Pittsburgh. 2007.
[19] Geidl, Martin, and GöranAndersson. "Optimal power flow of multiple energy carriers." Power Systems, IEEE Transactions on 22.1 (2007): 145-155.
[20] Geidl, Martin, et al. "Energy hubs for the future." IEEE Power and Energy Magazine 5.1 (2007): 24-30.
[21] Geidl, Martin, and Göran Andersson. "A modeling and optimization approach for multiple energy carrier power flow." Power Tech, 2005 IEEE Russia. IEEE, 2005.
[22] Nazar, MehrdadSetayesh, and Mahmood R. Haghifam. "Multiobjective electric distribution system expansion planning using hybrid energy hub concept." Electric Power Systems Research 79.6 (2009): 899-911.
[23] Schulze, M., L. Friedrich, and M. Gautschi. "Modeling and optimization of renewables: applying the energy hub approach." Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on. IEEE, 2008.
[24] Marler, R. T. and J. S. Arora. "Survey of multi-objective optimization methods for engineering." Structural and multidisciplinary optimization 2004, 26(6): 369-395
[25] D&R, Buildings Energy Data Book, D&R International, Ltd., 2009
[26] R. Graham, W. Chow, Technical and Economic Assessment of Combined Heat and Power Technologiesfor Commercial Customer Applications, EPRI Project Manager, 2003.
[27] Weber C, Shah N. Optimisation based design of a district energy system for an eco-town in the United Kingdom. Energy 2011; 36:1292e308.
[28] Farid Seyyedeyn, Azadeh MaroufMashat, Ramin Roshandel, Sourena Sattrai, Optimal design and operation of Photovoltaic-electrolyzer system using particle swarm optimization, the International journal of Sustainable energy, published online , April 2014