Research Papers: Energy Conversion/Systems

Upper Level of a Sustainability Assessment Framework for Power System Planning

[+] Author and Article Information
Sergio Cano-Andrade

Department of Mechanical Engineering,
Virginia Tech,
Blacksburg, VA 24061;
Department of Mechanical Engineering,
Universidad de Guanajuato,
Salamanca, Guanajuato 36885, Mexico
e-mails: sergioca@vt.edu;

Michael R. von Spakovsky

Department of Mechanical Engineering,
Virginia Tech,
Blacksburg, VA 24061
e-mail: vonspako@vt.edu

Alejandro Fuentes

Department of Mechanical Engineering,
Virginia Tech,
Blacksburg, VA 24061

Chiara Lo Prete

John and Willie Leone Family Department
of Energy and Mineral Engineering,
The Pennsylvania State University,
University Park, PA 16802

Lamine Mili

Bradley Department of Electrical
and Computer Engineering,
Northern Virginia Center,
Virginia Tech,
Falls Church, VA 22043

A “superstructure” or “superconfiguration” is a system configuration that contains all the possible components and interconnections from which the optimal system configuration is found [21]. The optimal system configuration is obtained by synthesizing, i.e., extracting a subset from, this superstructure or superconfiguration.

Synthesis refers to the reduction of a superstructure or superconfiguration by means of optimization in order to obtain the optimum configuration of a system defined by its components and their interconnections [21]. Design refers to finding the optimum component characteristics of the synthesized system at the most constrained point [21].

By “detailed” it is meant that the design of every component within each producer or storage technology is optimized as that technology competes within the MG network and the optimal capacity for each technology is determined.

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received March 6, 2015; final manuscript received March 11, 2015; published online April 8, 2015. Editor: Hameed Metghalchi.

J. Energy Resour. Technol 137(4), 041601 (Jul 01, 2015) (11 pages) Paper No: JERT-15-1104; doi: 10.1115/1.4030154 History: Received March 06, 2015; Revised March 11, 2015; Online April 08, 2015

This paper describes the upper level of a two-tiered sustainability assessment framework (SAF) for determining the optimal synthesis/design and operation of a power network and its associated energy production and storage technologies. The upper-level framework is described, and results for its application to a test bed scenario given by the Northwest European electricity power network presented. A brief description of the lower level of the SAF is given as well. In order to analyze the impact of microgrids (MGs) in the main network, two different scenarios are considered in the analysis, i.e., a network without MGs and a network with MGs. The optimization is carried out in a multi-objective, quasi-stationary manner with producer partial-load behavior taken into account via nonlinear functions for efficiency, cost, and emissions that depend on the electricity generated by each nonrenewable or renewable producer technology. Results indicate for the particular problem posed and for the optimal configurations found that including MGs improves the network relative to reductions in capital and operating costs and to increases in network resiliency. On the other hand, total daily SO2 emissions and network exergetic efficiency are not improved for the case when MGs are included.

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World Commission on Environment and Development, 1987, Our Common Future, Oxford University Press, Oxford, UK, Vol. 383.
Hammond, G. P., 2004, “Engineering Sustainability: Thermodynamics, Energy Systems, and the Environment,” Int. J. Energy Res., 28(7), pp. 613–639. [CrossRef]
Wang, J. J., Jing, Y. Y., Zhang, C. F., and Zhao, J. H., 2009, “Review on Multi-Criteria Decision Analysis Aid in Sustainable Energy Decision-Making,” Renewable Sustainable Energy Rev., 13(9), pp. 2263–2278. [CrossRef]
Verda, V., Serra, L., and Valero, A., 2005, “Thermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems. Part 1: Detection and Localization of Anomalies,” ASME J. Energy Res. Technol., 127(1), pp. 42–49. [CrossRef]
Verda, V., Serra, L., and Valero, A., 2005, “Thermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems. Part 2: On the Choice of the Productive Structure,” ASME J. Energy Res. Technol., 127(1), pp. 50–58. [CrossRef]
Lazzaretto, A., and Tsatsaronis, G., 2006, “SPECO: A Systematic and General Methodology for Calculating Efficiencies and Costs in Thermal Systems,” Energy, 31(8), pp. 1257–1289. [CrossRef]
Morosuk, T., and Tsatsaronis, G., 2008, “A New Approach to the Exergy Analysis of Absorption Refrigeration Machines,” Energy, 33(6), pp. 890–907 (2008). [CrossRef]
von Spakovsky, M. R., and Frangopoulos, C. A., 2009, “Analysis and Optimization of Energy Systems With Sustainability Considerations,” Encyclopedia of Life Support Systems (Exergy, Energy System Analysis and Optimization), C.Frangopoulos, ed., Vol. 3, Developed under the Auspices of UNESCO, EOLSS Publishers, Paris, France.
Curti, V., von Spakovsky, M. R., and Favrat, D., 2000, “An Environomic Approach for the Modeling and Optimization of a District Heating Network Based on Centralized and Decentralized Heat Pumps, Cogeneration and/or Gas Furnace. Part I: Methodology,” Int. J. Therm. Sci., 39(7), pp. 731–741. [CrossRef]
Pelster, S., von Spakovsky, M. R., and Favrat, D., 2001, “The Thermoeconomic and Environomic Modeling and Optimization of the Synthesis, Design and Operation of Combined Cycles With Advanced Options,” ASME J. Eng. Gas Turbines Power, 123(4), pp. 717–726. [CrossRef]
Meyer, L., Tsatsaronis, G., Buchgeister, J., and Schebek, L., 2009, “Exergoenvironmental Analysis for Evaluation of the Environmental Impact of Energy Conversion Systems,” Energy, 34(1), pp. 75–89. [CrossRef]
Petrakopoulou, F., Boyano, A., Cabrera, M., and Tsatsaronis, G., 2011, “Exergoeconomic and Exergoenvironmental Analyses of a Combined Cycle Power Plant With Chemical Looping Technology,” Int. J. Greenhouse Gas Control, 5(3), pp. 475–482. [CrossRef]
Wood, A. J., and Wollenberg, B. F., 1984, Power Generation, Operation and Control, Wiley, New York.
Nanda, J., Hari, L., and Kothari, M. L., 1994, “Economic Emission Load Dispatch With Line Flow Constraints Using a Classical Technique,” IEE Proc. Gener. Transm. Distrib., 141(1), pp. 1–10. [CrossRef]
Streiffert, D., 1995, “Multi-Area Economic Dispatch With Tie Line Constraints,” IEEE Trans. Power Syst., 10(4), pp. 1946–1951. [CrossRef]
Hobbs, B. F., Drayton, G., Bartholomew, E., and Lise, W., 2008, “Improved Transmission Representations in Oligopolistic Market Models: Quadratic Losses, Phase Shifters, and DC Lines,” IEEE Trans. Power Syst., 23(3), pp. 1018–1029. [CrossRef]
Lo Prete, C., Hobbs, B. F., Norman, C. S., Cano-Andrade, S., Fuentes, A., von Spakovsky, M. R., and Mili, L., 2012, “Sustainability and Reliability Assessment of Microgrids in a Regional Electricity Market,” Energy, 41(1), pp. 192–202. [CrossRef]
Pipattanasomporn, M., Willingham, M., and Rahman, S., 2005, “Implications of On-Site Distributed Generation for Commercial/Industrial Facilities,” IEEE Trans. Power Syst., 20(1), pp. 206–212. [CrossRef]
Costa, P. M., and Matos, M. A., 2009, “Assessing the Contribution of Microgrids to the Reliability of Distribution Networks,” Electr. Power Syst. Res., 79(2), pp. 382–389. [CrossRef]
Chen, Q., and Mili, L., 2013, “Composite Power System Vulnerability Evaluation to Cascading Failures Using Importance Sampling and Antithetic Variates,” IEEE Trans. Power Syst., 28(3), pp. 2321–2330. [CrossRef]
Frangopoulos, C., von Spakovsky, M. R., and Sciubba, E., 2002, “A Brief Review of Methods for the Design and Synthesis Optimization of Energy Systems,” Int. J. Appl. Thermodyn., 5, pp. 151–160.
Hobbs, B. F., and Meier, P., 2000, Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods, Kluwer Academic Publishers, Boston, MA.
Flury, K., and Frischknecht, R., 2012, “Life Cycle Inventories of Hydroelectric Power Generation,” ESU-Services, Fair Consulting in Sustainability, commissioned by Öko-Institute e.V., pp. 1–51.
Chiarelli, A., 2014, “Exergy Life Cycle Assessment of Renewable and Non-Renewable Energy Production and Storage Systems,” M.S. thesis, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, and the Politecnico di Torino, Torino, Italy.
Tsatsaronis, G., and Pisa, J., 1994, “Exergoeconomic Evaluation and Optimization of Energy Systems—Application to the CGAM Problem,” Energy, 19(3), pp. 287–321. [CrossRef]
Frangopoulos, C., and von Spakovsky, M., 1993, “A Global Environomic Approach for Energy Systems Analysis and Optimization—Part I,” International Conference ENSEC’93: Energy Systems and Ecology, J.Szargut, ed., Cracow, Poland, Jul. 5–9, pp. 123–132.
von Spakovsky, M., and Frangopoulos, C., 1993, “A Global Environomic Approach for Energy Systems Analysis and Optimization—Part II,” International Conference ENSEC’93: Energy Systems and Ecology, J.Szargut, ed., Cracow, Poland, Jul. 5–9, pp. 133–144.
King, R. T. A., and Rughooputh, H. C., 2003, “Elitist Multiobjective Evolutionary Algorithm for Environmental/Economic Dispatch,” IEEE 2003 Congress on Evolutionary Computation (CEC’03), Vol. 2, pp. 1108–1114.
Bejan, A., Tsatsaronis, G., and Moran, M., 1996, Thermal Design and Optimization, Wiley, New York.
Mili, L., 2011, “Taxonomy of the Characteristics of Power System Operating States,” 2nd NSF-VT Resilient and Sustainable Critical Infrastructures (RESIN) Workshop, Tucson, AZ, Jan. 13–15, pp. 1–13.
Chen, Q., and Mili, L., 2011, “Resiliency Metrics for Electric Power Systems,” Electric and Computer Engineering Department, Virginia Tech, Northern Virginia Center, Falls Church, VA.
Billinton, R., and Allan, R. N., 1996, Reliability Evaluation of Power Systems, 2nd ed., Plenum, New York. [CrossRef]
Gross, G., Garapic, N. V., and McNutt, B., 1988, “The Mixture of Normals Approximation Technique for Equivalent Load Duration Curves,” IEEE Trans. Power Syst., 3(2), pp. 368–374. [CrossRef]
Hobbs, B. F., and Rijkers, F. A. M., 2004, “Modeling Strategic Generator Behavior With Conjectured Transmission Price Responses in a Mixed Transmission Pricing System. Part I: Formulation,” IEEE Trans. Power Syst., 19(2), pp. 707–717. [CrossRef]
Energy Research Centre of the Netherlands, “COMPETES Input Data,” accessed May 3, 2015, www.ecn.nl/fileadmin/ecn/units/bs/COMPETES/cost-functions.xls
European Network of Transmission System Operators for Electricity, “Hourly Load Values for a Specific Country for a Specific Month,” accessed May 3, 2015, www.entsoe.eu/index.php?id=137
Sumio, Y., Masuto, S., and Fumihiro, M., 2004, “Thermoselect Waste Gasification and Reforming Process,” JFE Technical Report No. 3, pp. 21–26.
Kehlhofer, R., Rukes, B., Hannemann, F., and Stirnimann, F., 2009, Combined Cycle Gas and Steam Turbine Power Plants, 3rd ed., PennWell Corporation, Tulsa, OK.
Smeers, Y., Bolle, L., and Squilbin, O., 2001, “Coal Options, Evaluation of Coal-Based Power Generation in an Uncertain Context,” Federal Office for Scientific, Technical and Cultural Affairs, Report No. CG/DD/231-G/DD/232.
Lako, P., 2004, “Coal-Fired Power Technologies,” ECN Project on Clean Coal Technologies, Report No. ECN-C-04-076, pp. 1–36.
King, D. E., 2006, “Electric Power Micro-Grids: Opportunities and Challenges for an Emerging Distributed Energy Architecture,” Ph.D. thesis, Carnegie Mellon University, Pittsburgh, PA.
Erdmann, G., 2003, “Future Economics of the Fuel Cell Housing Market,” Int. J. Hydrogen Energy, 28(7), pp. 685–694. [CrossRef]
Goldstein, R., Hedman, B., Knowles, D., Freedman, S. I., Woods, R., and Schweizer, T., 2003, “Gas-Fired Distributed Energy Resource Technology Characterizations,” National Renewable Energy Laboratory, Report No. NREL/TP-620-34783.
U.S. EPA, 2003, “Combined Heat and Power at Commercial Supermarket: Capstone 60 kW Microturbine CHP System,” Environmental Technology Verification Report No. SRI/USEPA-GHG-VR-27.
Kuprianov, V. I., Kaewboonsong, W., and Douglas, P. L., 2008, “Minimizing Fuel and Environmental Costs for a Variable-Load Power Plant (Co-) Firing Fuel Oil and Natural Gas—Part 2. Optimization of Load Dispatch,” Fuel Process. Technol., 89(1), pp. 55–61. [CrossRef]
Goldstein, R., Hedman, B., Knowles, D., Freedman, S. I., Woods, R., and Schweizer, T., 2003, “Gas-Fired Distributed Energy Resource Technology Characterizations,” National Renewable Energy Laboratory, Report No. NREL/TP-620-34783.
U.S. EPA CHP Partnership, 2007, “Biomass Combined Heat and Power Catalog of Technologies,” Biomass CHP Catalog, pp. 1–113.
X-RatesTM, accessed May 3, 2015, www.x-rates.com/d/USD/EUR/hist2010.html
Cano-Andrade, S., von Spakovsky, M. R., Fuentes, A., Lo Prete, C., Hobbs, B. F., and Mili, L., 2012, “Multiobjective Optimization for the Sustainable-Resilient Synthesis/Design/Operation of a Power Network Coupled to Distributed Power Producers Via Microgrids,” Proceedings of ASME International Mechanical Engineering Congress and Exposition (IMECE’2012), Vol. 6, pp. 1393–1408.
World Nuclear Association, “Nuclear Power Reactors,” accessed May 3, 2015, http://world-nuclear.org/info/Nuclear-Fuel-Cycle/Power-Reactors/Nuclear-PowerReactors/#.Uijdhj_N3zs
European Nuclear Society, 2012, “Capacity Operating Hours,” accessed May 3, 2015, www.euronuclear.org/info/encyclopedia/capacityoperationhours.htm
Tits, A. L., Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, accessed May 3, 2015, http://www.ece.umd.edu/∼andre/
Zhou, J. L., and Tits, A. L., 1996, “An SQP Algorithm for Finely Discretized Continuous Minimax Problems and Other Minimax Problems With Many Objective Functions,” SIAM J. Optim., 6(2), pp. 461–487. [CrossRef]
Lawrence, C. T., and Tits, A. L., 1998, “Feasible Sequential Quadratic Programming for Finely Discretized Problems From SIP,” Semi-Infinite Programming, Vol. 25 (Nonconvex Optimization and Its Application), Springer, pp. 159–193. [CrossRef]
Cohon, J. L., 1978, Multiobjective Programming and Planning, Academic, New York.
Zhang, W., and Gaggioli, R. A., 1992, “Multiobjective Optimization With Aid of Fuzzy-Set Concepts,” ASME Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems Conference (ECOS'92), Zaragoza, Spain, Jun. 15–18, pp. 255–267.
Frangopoulos, C. A., and Keramioti, D. E., 2010, “Multi-Criteria Evaluation of Energy Systems With Sustainability Considerations,” Entropy, 12(5), pp. 1006–1020. [CrossRef]


Grahic Jump Location
Fig. 1

Schematic representation of the SAF

Grahic Jump Location
Fig. 2

Schematic representation of the Northwest European electricity network [34,35]

Grahic Jump Location
Fig. 3

Sizes of the optimum network configurations in the Pareto set for scenario 1

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Fig. 4

Sizes of the optimum network configurations in the Pareto set for scenario 2: (a) main grid configurations and (b) MG configurations (residential, commercial, and industrial)

Grahic Jump Location
Fig. 5

Optimal daily SO2 emissions versus optimal total daily costs (capital and O&M)

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Fig. 6

Optimal daily exergy use versus optimal total daily costs (capital and O&M)

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Fig. 7

Optimal resiliency (penetration of MGs) versus optimal total daily costs (capital and O&M)




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