Energy quality management for building clusters and districts (BCDs) through multi-objective optimization

Energy Conversion and Management

Volumn 79, Issue , 2014, Pages 525-533

  Lu, Hai ^a   Alanne, Kari ^b   Martinac, Ivo ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b AALTO UNIVERSITY   (Finland)

Author keywords

Building clusters and districts; Exergy efficiency; Genetic algorithm; Life cycle CO2 equivalent; LPSP; Renewable energy system

Indexed keywords

EXERGY EFFICIENCIES; GLOBAL WARMING POTENTIAL; LIFE CYCLE CO; LOSS OF POWER SUPPLY PROBABILITY; LPSP; MULTI-OBJECTIVE DESIGN OPTIMIZATION; REDUCING ENERGY CONSUMPTION; RENEWABLE ENERGY SYSTEMS;

CARBON DIOXIDE; ECONOMICS; ENERGY EFFICIENCY; EXERGY; GLOBAL WARMING; LIFE CYCLE; MULTIOBJECTIVE OPTIMIZATION; QUALITY MANAGEMENT; RENEWABLE ENERGY RESOURCES;

GENETIC ALGORITHMS;

EID: 84893061812     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2013.12.051     Document Type: Article

References (30)

1. R. Yao, B. Li, and K. Steemers Energy policy and standard for built environment in China Renew Energy 30 2005 1973 1988
2. G.K. Alison, and B.R. Nicholas Addressing climate change in comfort standards Build Environ 45 1 2010 18 22
3. A. Hepbasli A review on exnergic, energic and exergoecnomic aspects of geothermal district heating system (GDHSs) Energy Convers Manage 51 2010 2041 2061
4. L. Fryda Integrated CHP with auto thermal biomass gasification and SOFC-MGT Energy Convers Manage 49 2008 281 290 (Pubitemid 350137555)
5. C. Koroneos, T. Spachos, and N. Moussiopoulos Exergy analysis of renewable energy sources Renew Energy 28 2003 295 310 (Pubitemid 35151328)
6. A. Abusoglu, and M. Kanoglu First and second law analysis of diesel engine powered cogeneration systems Energy Convers Manage 49 2008 2026 2031
7. P. Gonçalves, G. Angrisani, and C. Roselli et al. Comparative energy and exergy performance assessments of a microcogenerator unit in different electricity mix scenarios Energy Convers Manage 73 2013 195 206
8. Björk F, Kilkiş Ş, Molinari M. Energy quality management and low energy architecture. In: ASES National Solar Conference. North Carolina, USA; 2011.
9. 2 emission ASHRAE 113 2 2005 113 123
10. M. Molinari Exergy and parametric analysis: methods and concepts for a sustainable built environment 2012 Royal Institute of Technology Stockholm, Sweden
11. ECBCS-Annex 49 - Low exergy systems for high performance buildings and communities. Available: < http://www.ecbcs.org/annexes/annex49.htm >. [accessed 31.10.2012].
12. H. Lu Energy quality management for new building clusters and districts 2013 Royal Institute of Technolgoy
13. H. Björk, and A. Rasmuson A method for life cycle assessment environmental optimisation of a dynamic process exemplified by an analysis of an energy system with a superheated steam dryer integrated in a local district heat and power plant Chem Eng J 87 2002 381 394 (Pubitemid 35016224)
14. R.H. Crawford Life cycle energy and greenhouse emissions analysis of wind turbines and the effect of size on energy yield Renew Sustain Energy Rev 13 2009 2653 2660
15. A.F. Sherwani, J.A. Usmani, and Varun Life cycle assessment of solar PV based electricity generation systems: a review Renew and Sustain Energy Rev 14 2010 540 544
16. H. Yang, W. Zhou, and L. Liu Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm Sol Energy 82 2008 354 367 (Pubitemid 351417646)
17. B. Ould Bilal, V. Sambou, and P.A. Ndiaye et al. Optimal design of a hybrid solar-wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probalility (LPSP) Renew Energy 35 2010 2388 2390
18. J.H. Holland Adaptation in natural and artificial systems 1975 The University of Michigan Press
19. H.Z. Stanislav Systems and control 2003 Oxford University Press New York, USA
20. 2 concentration control using genetic algorithms Energy Build. 41 2009 571 577
21. M. Hamdy, A. Hasan, and K. Siren Impact of adaptive thermal comfort criteria on building energy use and cooling equipment size using a multi-objective optimization scheme Energy Build. 43 2011 2055 2067
22. W. Wang, R. Zmeureanu, and H. Rivard Applying multi-objective algorithm in green building design optimization Build Environ 40 2005 1512 1525 (Pubitemid 40959584)
23. M. Hamdy, A. Hasan, and K. Siren Applying a multi-objective optimization approach for design of low-emission cost-effective dwellings Build Environ 46 2011 109 123
24. H.-J. Husmann, and H.-J. Tantau Integrated optimization of energy supply systems in horticulture using genetic algorithms Comput Electron Agric 31 2001 47 59 (Pubitemid 32200588)
25. G. Kayo, and R. Ooka Building energy system optimizations with utilization of waste heat from cogenerations by means of genetic algorithm Energy Build. 42 2010 985 991
26. NASA Langley Research Center Atmospheric Science Data Center. The monthly average wind speed for a given month, averaged for that month over the 10-year period; 2002.
27. V.H. Mendez, J. Rivier, and J.I. Fuente et al. Impact of distributed generation on distribution investment deferral Int J Electr Power Energy Syst 28 2006 244 252
28. NASA Langley Research Center Atmospheric Science Data Center. The monthly average amount of the total solar radiation incident on a horizontal surface at the surface of the earth for a given month; 2005.
29. International Energy Agency (IEA). International energy outlook - highlights. IEA, Washington, DC, USA; 2010.
30. R. Gross, P. Heptonstall, D. Anderson, et al. The costs and impacts of intermittency. Technical report. Imperial College London; 2006.