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 language | English |
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| Title of host publication | World Renewable Energy Congress XIII, WREC, 3-8 August 2014, London, United Kingdom |
| Publisher | WREC |
| Number of pages | 7 |
| Publication status | Published - 2014 |
| Event | World Renewable Energy Congress 13 (WREC XIII), August 3-8, 2014, London, United Kingdom - London, United Kingdom Duration: 3 Aug 2014 → 8 Aug 2014 Conference number: WREC XIII |
Conference
| Conference | World Renewable Energy Congress 13 (WREC XIII), August 3-8, 2014, London, United Kingdom |
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| Country/Territory | United Kingdom |
| City | London |
| Period | 3/08/14 → 8/08/14 |
| Other | World Renewable Energy Congress XIII, WREC |