Optimization of energy consumption based on orientation and location of the building

Renuka, S.M.; Maharani, C.M.; Nagasudha, S.; Priya, R. Raveena

doi:10.1016/j.matpr.2022.03.081

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…To do this, we compare the energy requirements obtained from the simulation with those required by the RTCM. To do this, the root mean square error (RMSE) is used to measure the accuracy of the simulated model, as formulated in equation (9).…”

Section: Results: Base Casementioning

confidence: 99%

“…In the same vein, it is worth highlighting the role of integrating passive strategies in improving the energy efficiency of the building, as well as in improving the comfort of its interior environment. At this stage, several studies have been carried out on the orientation and location of the building [9], shading [10,11], stores [12], natural ventilation [13], etc.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation study of the effect of integrating hemp concrete and passive strategies on the energy consumption of a residential building in Al-Hoceima

Kaddouri,

ABIDOUCHE,

SAIDI HASSANI ALAOUI

et al. 2024

Stat., optim. inf. comput.

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In this work, we present an energy efficiency study for a residential building located in the city of Al-Hoceima, Morocco. The aim is to bring the building into compliance with the technical requirements of the Moroccan Thermal Building Regulations (RTCM). To achieve this, several modifications and interventions were carried out, such as the use of hemp concrete for insulation and the integration of passive strategies to minimize energy loads. Similarly, this energy study is carried out as a simulation using TRNSYS software, so that the building is modeled as a multizone entity with an occupancy schedule. The simulation results show that the technical requirements of the RTCM are achieved using a construction containing hemp concrete with an optimum thickness of around 10cm, this thickness can be reduced to 4cm using double glazing, or to 1cm using controlled natural ventilation in summer and winter.

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Section: Results: Base Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical simulation study of the effect of integrating hemp concrete and passive strategies on the energy consumption of a residential building in Al-Hoceima

Kaddouri,

ABIDOUCHE,

SAIDI HASSANI ALAOUI

et al. 2024

Stat., optim. inf. comput.

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“…It is advisable to analyze building energy implementation in heating load (HL) and cooling load (CL). Building energy use is affected by climate location (Renuka et al, 2022). Various climates are hot, cold, moist and arid conditions (Phan and Lin, 2014).…”

Section: Introductionmentioning

confidence: 99%

Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter

Alharbi,

Khafaga,

Zaki

et al. 2024

Front. Energy Res.

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Energy consumption in buildings is gradually increasing and accounts for around forty percent of the total energy consumption. Forecasting the heating and cooling loads of a building during the initial phase of the design process in order to identify optimal solutions among various designs is of utmost importance. This is also true during the operation phase of the structure after it has been completed in order to ensure that energy efficiency is maintained. The aim of this paper is to create and develop a Multilayer Perceptron Regressor (MLPRegressor) model for the purpose of forecasting the heating and cooling loads of a building. The proposed model is based on automated hyperparameter optimization using Waterwheel Plant Algorithm The model was based on a dataset that described the energy performance of the structure. There are a number of important characteristics that are considered to be input variables. These include relative compactness, roof area, overall height, surface area, glazing area, wall area, glazing area distribution of a structure, and orientation. On the other hand, the variables that are considered to be output variables are the heating and cooling loads of the building. A total of 768 residential buildings were included in the dataset that was utilized for training purposes. Following the training and regression of the model, the most significant parameters that influence heating load and cooling load have been identified, and the WWPA-MLPRegressor performed well in terms of different metrices variables and fitted time.

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“…To curb the existing trend of the unsustainable surge in energy demand, energyefficient techniques for the residential sector need to be continuously developed as the energy consumption from residential structures is expected to increase by more than eight times by 2050 [8]. Over the past few decades, myriad studies have tackled the optimization of building performance, with energy consumption being considered the most common optimization objective.…”

Section: Introductionmentioning

confidence: 99%

“…The analysis indicated that taking building orientation into account when designing allows for the lowest energy consumption needed to reach thermal comfort [16]. Renuka et al [8] investigated the impact of building location and orientation on energy efficiency. The analysis was conducted on house models in Mumbai, Shillong, Delhi, and Chennai.…”

Section: Introductionmentioning

confidence: 99%

Identifying Façade Orientations with Closely Similar Thermal Performance for Unifying Façade Design Features in Hot Arid Climate

Sherif,

Tarabieh,

Mashaly

et al. 2023

Buildings

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Large-scale residential projects require architects to balance energy efficiency, thermal comfort, and cost-effectiveness in designing building units distributed in different orientations. Applying a single design to all orientations may not result in comfort conditions and energy efficiency; meanwhile, creating a unique design solution for each orientation can be time-consuming and costly to implement. Despite numerous studies recommending design alternatives for particular orientations, the ranges where orientation changes do not demand a change in the façade design still need to be determined. This research aims to identify ranges for which changes in building orientation do not necessitate changes in the façade design. It involves conducting parametric energy and thermal comfort simulations in a test room and testing the findings using real-life datasets from a large-scale residential project. Glass type, window-to-wall ratio (WWR), and utilization of shading devices were among the design parameters investigated. Results show that for all-year-round occupancy projects, a common solution can be applied for orientation changes between 0° to 10° from the north, −10° from the south, and ±5° from east and west for WWR of less than 50% in hot arid climates. These ranges can increase for small WWRs and when reflective glazing or shading devices are applied. This helps streamline design and construction processes, lower costs, and save energy in large-scale residential projects.

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Optimization of energy consumption based on orientation and location of the building

Cited by 10 publications

References 12 publications

Numerical simulation study of the effect of integrating hemp concrete and passive strategies on the energy consumption of a residential building in Al-Hoceima

Numerical simulation study of the effect of integrating hemp concrete and passive strategies on the energy consumption of a residential building in Al-Hoceima

Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter

Identifying Façade Orientations with Closely Similar Thermal Performance for Unifying Façade Design Features in Hot Arid Climate

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