Article
Multidisciplinary Sciences
Wan Yun Hong, Bibi Nurmuslihah Ni'matullah Nura'l Rahmat
Summary: A new method is proposed to estimate lighting energy consumption and decarbonisation pathway in commercial buildings in Southeast Asia, and it is applied to a library in Brunei Darussalam. The results show that retrofitting existing lamps with LED lamps can significantly reduce energy consumption, CO2 emissions, and electricity costs.
SCIENTIFIC REPORTS
(2022)
Article
Construction & Building Technology
Farinaz Falaki, Abdelatif Merabtine, Denis Martouzet
Summary: The main variables determining electricity consumption in residential buildings include dwelling size, financial status, age of the reference person in the household, and household size and composition. Understanding these variables is crucial for forecasting electricity demand, making Demand Response and Demand-Side Management decisions.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Environmental Sciences
Naja Aqilah, Sheikh Ahmad Zaki, Aya Hagishima, Hom Bahadur Rijal, Fitri Yakub
Summary: Accurate forecasting of time-varying electricity demands is crucial in residential buildings, as it impacts the load curve in the utility grid. This study in Kuala Lumpur, Malaysia, conducted field measurements in 19 dwellings to analyze electricity usage and indoor thermal environment. Variations in total electricity consumption were observed among different income groups, while AC electricity consumption remained consistent, possibly due to usage patterns during sleeping hours.
Article
Energy & Fuels
Louis-Gabriel Maltais, Louis Gosselin
Summary: This study compares data-driven forecasting models for predicting lighting and plug load electricity demand in residential units, with gradient boosted regression trees model performing the best. The research found that the prediction technique resulted in root-mean square error percentages typically ranging from 20% to 100%, depending on the horizon of prediction.
Article
Construction & Building Technology
Alan Meier, Dan Cautley
Summary: Non-intrusive load monitoring system (NILM) in commercial buildings faces challenges in load disaggregation due to the number and complexity of loads, difficulty in interpreting small changes in power consumption, and inability to identify continuously operating loads. Obtaining data sets for evaluation of NILM technologies in actual buildings is hindered by disruptions to occupants, misidentification errors, measurement errors, and expense. Enhancements to basic NILM approaches include tagging key devices, hybrid or supplemental metering, and applying insights from engineering knowledge and audits.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Michelangelo Scorpio, Giovanni Ciampi, Niko Gentile, Sergio Sibilio
Summary: This article discusses a field study on the use of non-invasive manual lighting and shading control to save energy in listed buildings. The results show that energy for lighting could be reduced between 15% and 71%.
ENERGY AND BUILDINGS
(2022)
Article
Environmental Studies
Do-Hyeon Ryu, Kwang-Jae Kim
Summary: As electricity consumption in residential buildings has increased, AMIs have been widely installed and used for developing services and policies. This research finds a difference between actual and perceived electricity consumption and identifies household characteristics that influence this difference.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Energy & Fuels
Sebastian Zainali, Johan Lindahl, Johan Linden, Bengt Stridh
Summary: The installations of solar photovoltaic systems in Sweden are growing rapidly, especially in the small-scale distributed systems market segment. This study provides an up-to-date assessment of the levelized cost of electricity for long-term scenario work and investment estimation, based on the turnkey system cost of over 6,000 single-family dwelling photovoltaic systems commissioned in Sweden. The analysis reveals that the levelized cost of electricity for these systems is generally lower than assumed in long-term scenario studies, explaining the unexpected fast deployment of distributed photovoltaic systems in Sweden.
Article
Energy & Fuels
Pavol Belany, Peter Hrabovsky, Zuzana Kolkova
Summary: This article discusses the possibilities of lighting retrofit and life cycle cost analysis in increasing the energy efficiency of buildings. The accuracy of life cycle cost analysis was verified on three lighting systems, and its suitability for various applications was determined through data comparison.
Article
Construction & Building Technology
Paula Bastida-Molina, Juan Torres-Navarro, Andres Honrubia-Escribano, Inmaculada Gallego-Giner, Emilio Gomez-Lazaro
Summary: The current energy crisis has affected the electricity plans and budgets for European university campuses. This necessitates the analysis of electrical consumption with the aim of identifying consumption patterns and promoting renewable installations. This study presents a novel methodology to analyze electricity consumption in universities and provides valuable results for other educational buildings.
ENERGY AND BUILDINGS
(2023)
Article
Green & Sustainable Science & Technology
Boni Sena, Sheikh Ahmad Zaki, Hom Bahadur Rijal, Jorge Alfredo Ardila-Rey, Nelidya Md Yusoff, Fitri Yakub, Mohammad Kholid Ridwan, Firdaus Muhammad-Sukki
Summary: Electricity-saving strategies are crucial for addressing global CO2 emissions and electricity consumption issues. A study conducted in Malaysian households found that appliance characteristics were the main variables affecting electricity consumption, while house characteristics were the least significant. Policymakers can use these findings to develop effective electricity-saving strategies.
Article
Construction & Building Technology
Bo Wang, Ziyue Yuan, Xiangxiang Liu, Yefei Sun, Bin Zhang, Zhaohua Wang
Summary: This research analyzes the effects of electricity prices and habits on electricity consumption behavior and finds that habits are a more important factor affecting residents' electricity consumption, while the effect of electricity prices is not significant. Residents without electricity-saving habits consume an average of 15.54 kWh more electricity each month compared to those with such habits.
ENERGY AND BUILDINGS
(2021)
Article
Economics
F. M. Andersen, P. A. Gunkel, H. K. Jacobsen, L. Kitzing
Summary: Household electricity consumption levels and timing are significantly influenced by household characteristics such as dwelling type, heating technology, use of electric vehicles, and the number and age of household members. Flat rate pricing in Denmark currently shows limited cross-subsidies between residential customer groups, indicating that introducing real-time pricing for Danish residential customers could improve economic efficiency without significant redistribution concerns.
Article
Economics
Benard M. Wabukala, Nicholas Mukisa, Susan Watundu, Olvar Bergland, Nichodemus Rudaheranwa, Muyiwa S. Adaramola
Summary: Renewable energy sources (RES) in Uganda face challenges in terms of affordability and theft. A study conducted a probabilistic assessment to categorize households based on electricity affordability in urban and rural areas. The study proposed alternative billing schemes to enhance legal connection and consumption of electricity. Results showed higher theft losses in rural households and a significant difference in revenue collected between urban and rural areas due to the number of legally connected households and their consumption levels. The study also highlighted the high initial connection fee and the below-average affordability of electricity for both rural and urban households in Uganda.
Article
Thermodynamics
Jiaxin Wang, Feng Lu
Summary: This study optimized the EC-NTL model by introducing land use types and landscape patterns, constructing 12 indicators and applying a multi-scale geographically weighted regression (MGWR) model. Experiment results showed that the MGWR model had a higher adjusted R-2 of 0.92 compared to simple and multiple linear regression models, while identifying five indicators correlated with EC.
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)