|
|
|
|
|
Amany Khalil, Anas M. Hosney Lila and Nouran Ashraf
The climate change crisis has resulted in the need to use sustainable methods in architectural design, including building form and orientation decisions that can save a significant amount of energy consumed by a building. Several previous studies have op...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nabil Nassif, Mostafa Tahmasebi, Iffat Ridwana and Pejman Ebrahimi
Buildings account for a large portion of the total energy use in the US; therefore, improving the operation of typical variable-air-volume (VAV) systems in buildings can provide a tremendous economic opportunity. ASHRAE Guideline 36 recommends a resettin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullah A. AlZahrani, Abdulrahman A. Alghamdi and Ahmad A. Basalah
Three-dimensional printing technologies are transforming various sectors with promising technological abilities and economic outcomes. For instance, 3D-printed concrete (3DPC) is revolutionizing the construction sector with a promise to cut projects? cos...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziyi Zhou, Ghazanfar Ali Anwar and You Dong
It is essential to assess the performance of a community under probable hazard scenarios and to provide possible performance enhancements. This requires establishing performance indicators, an assessment method, and an optimization technique to provide m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cemre Cubukcuoglu, Berk Ekici, Mehmet Fatih Tasgetiren and Sevil Sariyildiz
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 compu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yerim Han and Woohyun Kim
In this paper, a building control algorithm is proposed to reduce the electricity consumption of a building with a variable refrigerant flow (VRF) system. The algorithm uses sequence-to-sequence long short-term memory (seq2seq LSTM) to set target electri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fabrizio Ascione, Nicola Bianco, Gerardo Maria Mauro, Davide Ferdinando Napolitano and Giuseppe Peter Vanoli
About 40% of global energy consumption is due to buildings. For this reason, many countries have established strict limits with regard to building energy performance. In fact, the minimization of energy consumption and related polluting emissions is unde...
ver más
|
|
|
|
|
|
|
|
|
|
|
Le Thi Le, Hoang Nguyen, Jian Zhou, Jie Dou and Hossein Moayedi
In this study, a novel technique to support smart city planning in estimating and controlling the heating load (HL) of buildings, was proposed, namely PSO-XGBoost. Accordingly, the extreme gradient boosting machine (XGBoost) was developed to estimate HL ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming Tang, Jonathon Anderson, Ajla Aksamija, Michael Hodge
Pág. 62 - 67
This article discusses a collaborative research and teaching project between the University of Cincinnati, Perkins+Will?s Tech Lab, and the University of North Carolina Greensboro. The primary investigation focuses on the simulation, optimization, and ge...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zebiao Shao, Bo Wang, Yao Xu, Liang Sun, Xichen Ge, Lvpei Cai and Cheng Chang
Building skin can provide comprehensive functions of energy production, daylighting, and shading with an integrated transmissive solar-concentrating panel. In this study, Rhino Grasshopper parametric modeling, Ladybug tool performance simulation, and Oct...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sigrid Adriaenssens, Hao Liu, Mariam Wahed and Qianchuan Zhao
Increasingly strict energy policies, rising energy prices, and a desire for a positive corporate image currently serve as incentives for multinational corporations to reduce their plants? energy consumption. This paper quantitatively investigates and dis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming Chen, Kai Huang, Jian Wang, Wenzhi Liu and Yuanyuan Shi
The reliability of urban transportation systems is crucial for ensuring smooth traffic flow and minimizing disruptions caused by external factors. This study focuses on improving the stability and efficiency of transportation systems through the calibrat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Evangelos Bellos, Panagiotis Lykas, Dimitrios Tsimpoukis, Dimitrios N. Korres, Angeliki Kitsopoulou, Michail Gr. Vrachopoulos and Christos Tzivanidis
The goal of this investigation is the thorough analysis and optimization of a solar-assisted heat pump heating unit for covering the space heating demand for a building in Athens, Greece. The novelty of the studied system is the use of a high-temperature...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bader Alaifan and Elie Azar
A net-zero energy community (NZEC) is a promising paradigm that can directly contribute to a sustainable building sector and infrastructure. This research presents a unique empirical techno-economic optimization and evaluation approach for NZEC potential...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chun-Liang Lu, Tsun-Chen Lin
Pág. 53 - 57
In recent years, support vector machine (SVM) based on empirical risk minimization is supervised learning model which has been successfully used in the classification and regression. The standard soft-margin SVM trains a classifier by solving an optimiza...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shobhit Chaturvedi, Elangovan Rajasekar and Sukumar Natarajan
Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint in the Global South. This paper presents the application of a non-dominated sorting genetic (NSGA II) algorithm for multi-objective b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jin Luo, Joachim Rohn, Manfred Bayer and Anna Priess
Thermal efficiency of borehole heat exchangers (BHE) is of crucial importance for the design and optimization of ground source heat pump (GSHP) system. This paper investigates thermal efficiency of a BHE with three drillhole diameters: 121 mm, 165 mm and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
ver más
|
|
|
|
|
|
|
|
|
|
|
Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexey Lastovetsky and Ravi Reddy Manumachu
The energy consumption of Information and Communications Technology (ICT) presents a new grand technological challenge. The two main approaches to tackle the challenge include the development of energy-efficient hardware and software. The development of ...
ver más
|
|
|
|
|
|