Minimisation of life cycle cost of a detached house using combined simulation and optimisation

Hasan, Ala; Vuolle, Mika; Sirén, Kai

doi:10.1016/j.buildenv.2007.12.003

Cited by 169 publications

(105 citation statements)

References 3 publications

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“…According to Hasan et al [31], "the life-cycle cost LCC is the sum of the present value of investment and operating costs for the building and service systems, including those related to maintenance and replacement, over a specified lifespan".…”

Section: Economic Analysismentioning

confidence: 99%

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Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Ferdyn-Grygierek

Grygierek

2017

Energies

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Abstract:The building sector is one of the largest energy consumers in the world, comprising about 40% of the total energy consumption in numerous countries. Early design decisions have a significant impact on the energy performance of buildings. The paper presents the multi-variable optimization of the selected design parameters in a single-family building in temperate climate conditions. The influence of four types of windows, their size, building orientation, insulation of external wall, roof and ground floor and infiltration on the life cycle costs (LCC) is analyzed. Optimal selection of the design parameters is carried out using genetic algorithms by coupling the building performance simulation program EnergyPlus with optimization environment. The simulations were conducted for seven optimization cases. The analysis is performed for two variants of a building with heating and cooling systems and with a heating system only. Depending on the analyzed case, the life cycle costs decreased from 7% to 34% LCC value of the reference building. In the case of temperate climate, the building optimization (in terms of heat demand only) substantially reduces the heating costs, yet the summer thermal comfort conditions deteriorate significantly.

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Section: Economic Analysismentioning

confidence: 99%

“…For calculating the operational energy, the energy prices and its escalation rates were obtained. The discount factor was calculated from Equation (3) [31,32,60]:…”

Section: Economic Analysismentioning

confidence: 99%

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Ferdyn-Grygierek

Grygierek

2017

Energies

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“…The IDA ICE and GenOpt combination has already been used by Ala Hasan, Mika Vuolle and Kai Siren [21]. Our paper describes the dynamic of window area, solar factor versus cooling, heating energy consumption in different cardinal directions.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Office Building Façades in a Warm Summer Continental Climate

Hani¹,

Koiv²

2012

SGRE

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A typical office building model with conventional use and contemporary building systems was developed for façade optimization in continental climate. Wall, glazing area and window parameters were taken as the main variables. The objective function of optimization task described in this article is the minimization of cooling and heating energy consumption. The office building façades optimization was carried out using a combination of IDA Indoor Climate and Energy 4.5 and GenOpt. The process is described in detail so that the approach may be emulated. A hybrid multidimensional optimization algorithm GPSPSOCCHJ was used in calculation process. The optimization results are presented in four quick selection charts to assist architects, designers and real estate developers make suitable early stage façade selection decisions.

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“… Managing of energy storage [78,79] and automated model calibration [80,81]  Simultaneous optimisation of building envelope and HVAC elements [7,15,16,65,[82][83][84][85][86][87][88][89][90].…”

mentioning

confidence: 99%

“…a single zone model is used for representing one floor single family house [85], a two zones model for a two-story house [17], a simplified model for representing a 200 m 2 house [110], and two representative zones are used to evaluate the thermal performance of one floor in office building [111].…”

mentioning

confidence: 99%

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

Attia

Hamdy

O’Brien³

et al. 2013

Energy and Buildings

368

192

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This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimisation tools in Net Zero Energy Buildings (NZEB) Design. The paper reviews current trends in simulationbased Building Performance Optimisation (BPO) and outlines major criteria for optimisation tools selection and evaluation. This is based on analyzing user's needs for tools capabilities and requirement specifications. The review is carried out by means of a literature review of 165 publications and interviews with 28 optimisation experts. The findings are based on an inter-group comparison between experts. The aim is to assess the gaps and needs for integrating BPO tools in NZEB Design. The findings indicate existing limitations including model uncertainty, computation time, difficulty of use and steep learning curve. Some future directions anticipated or needed for improvement of current tools are presented.

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Minimisation of life cycle cost of a detached house using combined simulation and optimisation

Cited by 169 publications

References 3 publications

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Optimization of Office Building Façades in a Warm Summer Continental Climate

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

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Minimisation of life cycle cost of a detached house using combined simulation and optimisation

Cited by 169 publications

References 3 publications

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Optimization of Office Building Fa&#231;ades in a Warm Summer Continental Climate

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

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Product

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Optimization of Office Building Façades in a Warm Summer Continental Climate