Multi-level optimization of building design, energy system sizing and operation

Energy

Volumn 90, Issue , 2015, Pages 1775-1789

  Evins, Ralph ^a,b  

^a ETH ZURICH   (Switzerland)

^b SWISS FEDERAL LABORATORIES FOR MATERIALS SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

Building; Energy hub; Multi level; Multi objective; Operation; Optimisation

Indexed keywords

BUILDINGS; GENETIC ALGORITHMS; INTEGER PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION; OFFICE BUILDINGS;

ENERGY HUBS; MULTI OBJECTIVE; MULTILEVELS; OPERATION; OPTIMISATIONS;

ARCHITECTURAL DESIGN;

ARCHITECTURAL DESIGN; ENERGY EFFICIENCY; GENETIC ALGORITHM; LINEAR PROGRAMING; OPERATIONS TECHNOLOGY; OPTIMIZATION; SIMULATION;

EID: 84954370552     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.07.007     Document Type: Article

References (20)

1. Ashouri A, Fux SS, Benz MJ, Guzzella L. Optimal design and operation of building services using mixed-integer linear programming techniques. Energy 2013;59:365-76.
2. Bollinger LA, Evins R. HUES: a holistic urban energy simulation platform for effective model integration. In: Proceedings of CISBAT. Lausanne: Switzerland; 2015 [forthcoming].
3. Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 2002;6(2):182-97.
4. Deb K, Sinha A. Solving bilevel multi-objective optimization problems using evolutionary algorithms. Evol Multi-criterion Optim 2009:110-24.
5. Department of Energy & Climate Change 2014. Energy trends. June 2014.
6. Evins R. A review of computational optimisation methods applied to sustainable building design. Renew Sustain Energy Rev 2013;22:230-45.
7. Evins R. A bi-level design and operational optimisation process applied to an energy centre. J Build Perform Simul 2015. http://dx.doi.org/10.1080/19401493.2015.1045034.
8. Evins R, Orehounig K. A bi-level design and operation optimisation process applied to an energy centre. In: Proceedings of Building Simulation and Optimisation, UCL. London, UK: IBPSA; 2014.
9. Evins R, Pointer P, Vaidyanathan R. Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings. In: Proceedings: Genetic and Evolutionary Computation (GECCO), GECCO '10. New York, NY, USA: ACM; 2010. p. 1327-8. ACM ID: 1830726.
10. Evins R, Pointer P, Vaidyanathan R. Optimisation for CHP and CCHP decisionmaking. In: Proceedings of the Building Simulation 2011 Conference. Sydney, Australia: IBPSA; 2011. p. 1335-42.
11. Fazlollahi S, Marchal F. Multi-objective, multi-period optimization of biomass conversion technologies using evolutionary algorithms and mixed integer linear programming (MILP). Appl Therm Eng 2013;50(2):1504-13.
12. Fux SF, Benz MJ, Guzzella L. Economic and environmental aspects of the component sizing for a stand-alone building energy system: a case study. Renew Energy 2013;55(0):438-47.
13. Geidl M, Andersson G. A modeling and optimization approach for multiple energy carrier power flow. In: Power Tech, 2005 IEEE Russia; 2005. p. 1-7.
14. Koh A. A metaheuristic framework for bi-level programming problems with multi-disciplinary applications. In: Talbi E-G, editor. Metaheuristics for Bilevel Optimization, number 482 in Studies in Computational Intelligence. Springer Berlin Heidelberg; 2013. p. 153-87.
15. Lund H, Werner S, Wiltshire R, Svendsen S, Thorsen JE, Hvelplund F, et al. 4th generation district heating (4gdh): integrating smart thermal grids into future sustainable energy systems. Energy 2014;68:1-11.
16. Motto A, Arroyo J, Galiana F. A mixed-integer LP procedure for the analysis of electric grid security under disruptive threat. IEEE Trans Power Syst 2005;20(3):1357-65.
17. Ooka R, Komamura K. Optimal design method for building energy systems using genetic algorithms. Build Environ 2009;44(7):1538-44.
18. Sinha A, Deb K. Bilevel multi-objective optimization and decision making. In: Talbi E-G, editor. Metaheuristics for Bi-level Optimization, number 482 in Studies in Computational Intelligence. Springer Berlin Heidelberg; 2013. p. 247-84.
19. The Carbon Trust. Resources e conversion factors. 2011.
20. Weber C, Marchal F, Favrat D, Kraines S. Optimization of an SOFC-based decentralized polygeneration system for providing energy services in an office-building in Tky. Appl Therm Eng 2006;26(13):1409-19.