Calibrated simulation of a public library HVAC system with a ground-source heat pump and a radiant floor using TRNSYS and GenOpt

Vallejo, Javier P.; Eguía, P.; Mı́guez, J.L.; Granada, Enrique; Arce, Elena

doi:10.1016/j.enbuild.2015.09.006

Cited by 63 publications

(24 citation statements)

References 24 publications

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“…This tool can be easily integrated into existing simulation tools as it can control float parameters of simulation models until optimized values are found. Some recent works coupled GenOpt with TRNSYS [14] for renewable energy sizing optimization [15,16].…”

Section: Why Is a Simplified Sizing Methods Required At The Early Desimentioning

confidence: 99%

Simplified Method of Optimal Sizing of a Renewable Energy Hybrid System for Schools

Kim

2016

Sustainability

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Schools are a suitable public building for renewable energy systems. Renewable energy hybrid systems (REHSs) have recently been introduced in schools following a new national regulation that mandates renewable energy utilization. An REHS combines the common renewable-energy sources such as geothermal heat pumps, solar collectors for water heating, and photovoltaic systems with conventional energy systems (i.e., boilers and air-source heat pumps). Optimal design of an REHS by adequate sizing is not a trivial task because it usually requires intensive work including detailed simulation and demand/supply analysis. This type of simulation-based approach for optimization is difficult to implement in practice. To address this, this paper proposes simplified sizing equations for renewable-energy systems of REHSs. A conventional optimization process is used to calculate the optimal combinations of an REHS for cases of different numbers of classrooms and budgets. On the basis of the results, simplified sizing equations that use only the number of classrooms as the input are proposed by regression analysis. A verification test was carried out using an initial conventional optimization process. The results show that the simplified sizing equations predict similar sizing results to the initial process, consequently showing similar capital costs within a 2% error.

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Section: Why Is a Simplified Sizing Methods Required At The Early Desimentioning

confidence: 99%

Simplified Method of Optimal Sizing of a Renewable Energy Hybrid System for Schools

Kim

2016

Sustainability

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“…The reliability of these simulation tools has been tested and proved by various studies [7][8][9][10][11][12][13][14][15][16]. Huanget et al focused on the simulation-based optimization of building envelope design, and they find the facts that single-objective optimization is still dominant in this area [17].…”

Section: Introductionmentioning

confidence: 99%

Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China

Tang

et al. 2017

Sustainability

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Abstract:The aim of this paper is to optimize the building shape parameters and envelope parameters influencing the rural building energy consumption in cold winter and hot summer climate. Several typical models are established and optimized by integrated TRNSYS and GenOpt. Single-objective optimization has provided guidance to the multi-dimensional optimization. Building shape and envelope parameters are considered simultaneously by multi-dimensional optimization. Results of the optimization showed significant reduction in terms of EC (energy consumption). When O (building orientation) was SW (south by west) 10 • , LWR (length-width ratio) was 1.1, WWRS (window-wall ratio in south) with the range of 0.6-0.8, ITE (insulation thickness of exterior wall) and ITR (insulation thickness of roof) was 0.05 m and 0.08 m respectively, the building had minimal energy consumption. The results also indicated that the optimal EWT (exterior window type) was plastic single-frame Low-E insulating glazing filled with inert gas, and the optimal shape of building is Re (rectangle). An effective method was provided to optimize the design of the rural building for the purpose of reducing building energy consumption in cold winter and hot summer climate.

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“…The ground temperature was defined using the Kusuda and Archenbach model [40]. A more detailed description of the internal gains for the building can be found in a previous study [41].…”

Section: Model Definitionmentioning

confidence: 99%

Weather datasets generated using kriging techniques to calibrate building thermal simulations with TRNSYS

Eguía

Granada

Alonso

et al. 2016

Journal of Building Engineering

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Calibrated simulation of a public library HVAC system with a ground-source heat pump and a radiant floor using TRNSYS and GenOpt

Cited by 63 publications

References 24 publications

Simplified Method of Optimal Sizing of a Renewable Energy Hybrid System for Schools

Simplified Method of Optimal Sizing of a Renewable Energy Hybrid System for Schools

Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China

Weather datasets generated using kriging techniques to calibrate building thermal simulations with TRNSYS

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