Simulation-based optimization for energy and buildings

Ala Hasan, Matti Palonen, Mohamed Hamdy

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

This paper presents implementations of simulation-based optimization by giving two examples for finding optimum values of design/decision parameters in the building envelope, building heating/cooling systems, and energy systems. In addition, the features of the Multi-Objective Building performance Optimization program MOBO® are presented. MOBO is a new generic freeware able to handle single and multi-objective optimization problems including continuous and/or discrete variables. It can be coupled to many simulation programs and has a library of different types of algorithms (evolutionary, deterministic, hybrid, exhaustive and random). It is concluded that simulation-based optimization is an efficient method for finding optimum values of design/decision variables in the building envelope, heating/cooling systems and energy generation systems. While an exhaustive search method will need a huge number of simulations to find optimal solutions, the optimization algorithm will need reasonable time and number of simulations to find comparable solutions. It can be used in finding optimal solutions for the fulfilment of zero, net- or nearly- zero energy/emission buildings, where minimization of energy emissions, and cost and maximization of indoor air quality are the targets.
Original languageEnglish
Title of host publicationRenewable Energy in the Service of Mankind
Subtitle of host publicationSelected Topics from the World Renewable Energy Congress WREC 2014
PublisherSpringer
Pages503-513
Volume1
ISBN (Print)978-3-319-17776-2, 978-3-319-17777-9
DOIs
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
EventWorld Renewable Energy Congress XIII, WREC 2014 - London, United Kingdom
Duration: 3 Aug 20148 Aug 2014

Conference

ConferenceWorld Renewable Energy Congress XIII, WREC 2014
Abbreviated titleWREC 2014
CountryUnited Kingdom
CityLondon
Period3/08/148/08/14

Fingerprint

Cooling systems
Heating
Multiobjective optimization
Air quality
Evolutionary algorithms
Costs

Keywords

  • building performance simulation
  • optimization
  • MOBO software
  • zero-energy buildings

Cite this

Hasan, A., Palonen, M., & Hamdy, M. (2015). Simulation-based optimization for energy and buildings. In Renewable Energy in the Service of Mankind: Selected Topics from the World Renewable Energy Congress WREC 2014 (Vol. 1, pp. 503-513). Springer. https://doi.org/10.1007/978-3-319-17777-9_45
Hasan, Ala ; Palonen, Matti ; Hamdy, Mohamed. / Simulation-based optimization for energy and buildings. Renewable Energy in the Service of Mankind: Selected Topics from the World Renewable Energy Congress WREC 2014. Vol. 1 Springer, 2015. pp. 503-513
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Hasan, A, Palonen, M & Hamdy, M 2015, Simulation-based optimization for energy and buildings. in Renewable Energy in the Service of Mankind: Selected Topics from the World Renewable Energy Congress WREC 2014. vol. 1, Springer, pp. 503-513, World Renewable Energy Congress XIII, WREC 2014, London, United Kingdom, 3/08/14. https://doi.org/10.1007/978-3-319-17777-9_45

Simulation-based optimization for energy and buildings. / Hasan, Ala; Palonen, Matti; Hamdy, Mohamed.

Renewable Energy in the Service of Mankind: Selected Topics from the World Renewable Energy Congress WREC 2014. Vol. 1 Springer, 2015. p. 503-513.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Hasan A, Palonen M, Hamdy M. Simulation-based optimization for energy and buildings. In Renewable Energy in the Service of Mankind: Selected Topics from the World Renewable Energy Congress WREC 2014. Vol. 1. Springer. 2015. p. 503-513 https://doi.org/10.1007/978-3-319-17777-9_45