Numerical optimisation through dynamic simulation of the position of trees around a stand-alone building to reduce cooling energy consumption

Calcerano, Filippo; Martinelli, Letizia

doi:10.1016/j.enbuild.2015.12.023

Cited by 69 publications

(28 citation statements)

References 40 publications

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“…Other possible future research themes include: -an overall view of several passive systems performance and their combination; -the extension of simulation model characteristics, taking into account different orientation and building technical, functional and spatial systems and layouts, such as facade types or the internal apartments subdivision, and considering apartments in "critical" positions, such as rooftop or ground floor or angle position; -the broadening of climatic and microclimatic factor considered and their influence on ventilation [54]; -the annual simulation of natural ventilation systems, to verify their performance under climatic conditions where summer and winter comfort are both significant; -the evaluation and monitoring of case studies, to verify the systems performances in an actual contest and to assess the simulation capacity of giving a reliable representation of real conditions. …”

Section: Resultsmentioning

confidence: 99%

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Numerical analysis of passive strategies for energy retrofit of existing buildings in Mediterranean climate: thermal mass and natural ventilation combination

2017

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Abstract. The study investigates the potential of coupling natural ventilation and thermal storage systems to improve hygrothermal comfort and reduce energy consumption during summer season in an existing building in the Mediterranean. It aims at bridging the knowledge gap between designers, researchers and building scientists, fostering a multidisciplinary approach and promoting numerical simulation of the energy performance of buildings within architectural professional practice. The study analyses the interaction between six natural ventilation systems (single sided ventilation through facade openings; cross ventilation through facade openings, inlet wind tower, thermal chimney, evaporative cool tower, earth pipes) and with two thermal storage typology (heavy and medium-light) within four strategic Italian location (Rome, Naples, Messina and Catania). For each interaction we perform a numerical dynamic simulation of indoor comfort, indoor air quality and energy consumption during the summer period, on a reference building model corresponding to the most common Italian typology. Results show that the use of the chosen systems ensures significant reductions of discomfort hours and energy consumption in all configurations. The study also highlights the high efficiency of non invasive systems (single-sided and cross ventilation with automatic control present discomfort hours reduction and energy consumption reduction above 68% for all combinations) and the significant influence of the daily thermal range value on the performance of systems without air pre-treatment.

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Section: Resultsmentioning

confidence: 99%

“…Ground floor has an outside boundary condition of 21°C. Internal gains (lights, people and electric equipment) are set according to a hypothetical residential occupancy pattern as in [10,48,54]. Occupation schedules are modelled according to a typical residential profile of use.…”

Section: Reference Simulation Building Modelmentioning

confidence: 99%

Numerical analysis of passive strategies for energy retrofit of existing buildings in Mediterranean climate: thermal mass and natural ventilation combination

2017

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“…Majority of the design optimization papers in the literature utilized Galapagos tool in dealing with energy [17][18][19], daylight [20,21], both energy and daylight [22,23] and structure [24][25][26].…”

Section: Galapagosmentioning

confidence: 99%

OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling

et al. 2019

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Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using optimization methods within the computer aided design (CAD) programs. In this paper, we present Optimus, which is a new optimization tool for grasshopper algorithmic modeling in Rhinoceros CAD software. Optimus implements self-adaptive differential evolution algorithm with ensemble of mutation strategies (jEDE). We made an experiment using standard test problems in the literature and some of the test problems proposed in IEEE CEC 2005. We reported minimum, maximum, average, standard deviations and number of function evaluations of five replications for each function. Experimental results on the benchmark suite showed that Optimus (jEDE) outperforms other optimization tools, namely Galapagos (genetic algorithm), SilverEye (particle swarm optimization), and Opossum (RbfOpt) by finding better results for 19 out of 20 problems. For only one function, Galapagos presented slightly better result than Optimus. Ultimately, we presented an architectural design problem and compared the tools for testing Optimus in the design domain. We reported minimum, maximum, average and number of function evaluations of one replication for each tool. Galapagos and Silvereye presented infeasible results, whereas Optimus and Opossum found feasible solutions. However, Optimus discovered a much better fitness result than Opossum. As a conclusion, we discuss advantages and limitations of Optimus in comparison to other tools. The target audience of this paper is frequent users of parametric design modelling e.g., architects, engineers, designers. The main contribution of this paper is summarized as follows. Optimus showed that near-optimal solutions of architectural design problems can be improved by testing different types of algorithms with respect to no-free lunch theorem. Moreover, Optimus facilitates implementing different type of algorithms due to its modular system.

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“…Figure 3 reports the possible configurations of the position of trees with respect to the buildings studied in this paper. Table 2 shows the relative energy savings (in %) according to those configurations as modelled by [35], for the configurations 1, 4, 6 and 7. Configurations 2, 3 and 5 were not taken into account as they were not assessed by [35].…”

Section: Economic Feasibility Assessment Tool (Third Phase)mentioning

confidence: 99%

Reducing Seismic Vulnerability and Energy Demand of Cities through Green Infrastructure

Privitera

Rosa

2018

Sustainability

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Historically, urbanization processes in Italy resulted in built environments with high levels of seismic vulnerability, low energy efficiency and a lack of green spaces. The latter represent the main providers of ecosystem services in cities and play a relevant role in reducing the effects of climate change by the regulation of microclimate and urban heat islands that are responsible for building energy consumption. Despite their importance in providing ecosystem services, the implementation of green infrastructure challenges limited financial resources for the public acquisition of private plots. This paper proposes a strategy to implement an urban green infrastructure aimed at generating a double positive effect on cities by triggering seismic retrofitting and the reduction of cooling energy demand of the existing urban fabric. This is proposed through a transfer of development rights program where landowners gain economic incentives to adopt seismic retrofitting interventions and, at the same time, public administrations implement the green infrastructure in the portion of areas transferred to the municipality. The energy efficiency of buildings closer to the green infrastructure, therefore, benefits from the cooling effects of this new greenery. The strategy is tested under different scenarios of acquisition of private land by public administrations in the metropolitan area of Catania (Italy).

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Numerical optimisation through dynamic simulation of the position of trees around a stand-alone building to reduce cooling energy consumption

Cited by 69 publications

References 40 publications

Numerical analysis of passive strategies for energy retrofit of existing buildings in Mediterranean climate: thermal mass and natural ventilation combination

Numerical analysis of passive strategies for energy retrofit of existing buildings in Mediterranean climate: thermal mass and natural ventilation combination

OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling

Reducing Seismic Vulnerability and Energy Demand of Cities through Green Infrastructure

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