Article
Environmental Sciences
Yuanzheng Li, Tian He, Yuchan Wang, Linan Sun, Yi Yan, Guosong Zhao
Summary: This study analyzed the spatial-temporal characteristics of global cooling degree days (CDDs) and explored their determinants and future trends. The results showed that CDDs were generally higher at lower latitudes and altitudes. Most CDDs were projected to have sustainable trends in the future. The study also found correlations between CDDs and factors such as latitude, altitude, vegetation index, PM2.5 concentration, and distance to large waterbodies. The values and variation rates of CDDs could be deduced using a generalized regression neural network method.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Nicole D. Miranda, Jesus Lizana, Sarah N. Sparrow, Miriam Zachau-Walker, Peter A. G. Watson, David C. H. Wallom, Radhika Khosla, Malcolm McCulloch
Summary: Failing to limit the global mean temperature increase below 1.5 degrees Celsius will result in various negative consequences. A study reveals the countries most affected by warming through mapping annual changes in cooling demand. It is becoming increasingly difficult to keep the global mean temperature rise within the 1.5 degrees Celsius target. Moving from 1.5 to 2.0 degrees Celsius of global warming will significantly impact global cooling demand, with African countries experiencing the highest increase in cooling requirements, while countries like Switzerland, the United Kingdom, and Norway will face the largest relative surges in cooling demand as they are traditionally unprepared for heat.
NATURE SUSTAINABILITY
(2023)
Article
Energy & Fuels
Mahmood Mehregan, Alireza Naminezhad, Sajjad Vakili, Mostafa Delpisheh
Summary: This study aims to establish an energy consumption model and energy benchmarks for a commercial building in Shiraz, Iran, using both forward and inverse methods. The results show a 30% reduction in annual cooling and heating energy consumption compared to the base year, while maintaining an acceptable thermal comfort zone.
ENERGY SCIENCE & ENGINEERING
(2022)
Article
Thermodynamics
Bekarys Omarov, Shazim Ali Memon, Jong Kim
Summary: The study proposes a novel approach for climate zoning based on cooling degree days (CDD), heating degree days (HDD), and building energy performance. Analysis was conducted on 90 cities in 18 climate zones, comparing different degree day calculation methods and evaluating the relationship between degree days and building energy performance. A new climate classification approach was presented based on the patterns of degree days and energy consumption.
Article
Environmental Sciences
Jingfu Cao, Jun Shi, Mingcai Li, Zhihong Zhai, Ruixue Zhang, Min Wang
Summary: In previous studies, the concept of degree days has been widely used to indicate heating or cooling energy requirements, but it does not consider the dehumidification effect. In the present study, the concept of dehumidification degree days based on moisture content is used, and the degree days over the past 57 years for temperature decreasing and dehumidification in 4 cities belonging to major climate zones of China are analyzed. The results showed that the number of cooling degree days showed a significant increase (1.2-4.6 days/10 years) in all the selected cities, corresponding to the warming climate. In contrast, the degree days of dehumidification accounted for 19%-45% of the total days in summer and showed significant decreases (2.0-3.7 days/10 years) in specific climate zones.
Article
Construction & Building Technology
Rahul Ukey, Aakash C. Rai
Summary: Global warming is projected to significantly increase the space heating and cooling energy requirements in major Indian cities in the coming decades. Rising temperatures will lead to higher cooling demands while reducing the need for heating, with temperature increases ranging from 0.1-4.6 degrees Celsius depending on the city and emission scenario.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Ferdinando Salata, Serena Falasca, Virgilio Ciancio, Gabriele Curci, Stefano Grignaffini, Pieter de Wilde
Summary: The increasingly hot and long summers due to climate change will significantly increase the energy demand for cooling systems, especially in highly-densely populated regions. This study investigates the evolution of cooling energy needs in Italy by analyzing gridded temperatures and finds that by 2080, about 70% of the country will experience higher levels of cooling degree hours compared to the past.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
H. Kennard, T. Oreszczyn, M. Mistry, I Hamilton
Summary: Anthropogenic greenhouse gas emissions are causing global temperature increases, leading to a higher demand for cooling. However, population growth in warmer regions of the world is identified as the main driver behind the increasing cooling demand. The research highlights the significant difference between population-weighted and area-weighted degree-days and emphasizes the importance of selecting an appropriate base temperature for accurately predicting future heating and cooling energy demand.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Ziyang Hao, Xiaojing Zhang, Jingchao Xie, Kaili Yin, Jiaping Liu
Summary: This research provides a clarification of the calculation process for building balance point temperature and heating degree-days (HDD) and offers experimental validation. The study investigates the impacts of local climate and building properties on balance point temperature and HDD in 31 representative cities along the Chinese coastline. The results demonstrate that the balance point temperature has decreased over the past four decades due to stricter insulation regulations, and the increase in outdoor monthly average temperature affects the calculated balance point temperature. Furthermore, the deviation of HDD values in the Cold Zone is wider compared to the Hot Summer and Cold Winter Zone. HDD calculated from monthly temperature data can be considered a reliable indication for predicting heating demand and determining building energy efficiency climate zoning.
BUILDING AND ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Mehmet Bilgili
Summary: Cooling Degree Days (CDD) is a technique that sums up the air temperature differences to quantify the deviation required for human comfort in summer. It is a useful tool for predicting cooling energy requirements in buildings. Accurate estimation of CDD trends is crucial for energy management and policy-making, and methods like SARIMA models can be used to forecast future values based on historical data. In this study, SARIMA models were used to forecast CDD values in high cooling demand regions in Turkey, indicating a slight increase in CDD values by 2031 due to global warming, which will impact building energy consumption policies.
Article
Environmental Sciences
Cristina Andrade, Sandra Mourato, Joao Ramos
Summary: This study analyzed the impact of climate change on cooling and heating energy demand of residential buildings in Portugal using high-resolution bias-corrected simulations. Results indicate that in the coming decades, Portugal will experience an increase in cooling demand and a decrease in heating demand due to warming temperatures.
Article
Thermodynamics
Gauhar Nurlybekova, Shazim Ali Memon, Indira Adilkhanova
Summary: The study evaluated the impact of PCM on the thermal and energy performance of buildings in six cities in the subtropical climate zone, and assessed the effects of future climate change using a hybrid downscaling approach. Different PCMs showed advantages in different seasons, with PCM 28-PCM 30 recommended for use in most cities. The energy performance of buildings is projected to see an increase in cooling energy demand and a decrease in heating energy demand under future climate scenarios.
Article
Green & Sustainable Science & Technology
Somin Park, Jisoo Shim, Doosam Song
Summary: This paper examines the importance of balance-point temperatures in developing building-energy policies, and proposes a method of calculating these temperatures based on building thermal performance and climate conditions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Debaditya Chakraborty, Arafat Alam, Saptarshi Chaudhuri, Hakan Basagaoglu, Tulio Sulbaran, Sandeep Langar
Summary: This paper introduces a newly developed XAI model to analyze the impacts of climate change on cooling energy consumption in buildings, predict future scenarios, and explain the predictions. The XAI model shows high accuracy in predicting future Ec and reveals critical inflection points, demonstrating positive and persistent incremental changes in Ec under different SSP scenarios.
Article
Construction & Building Technology
Xiaoxiong Xie, Zhiwen Luo, Sue Grimmond, Ting Sun
Summary: This study combines SUEWS and EnergyPlus to predict natural ventilation potential (NVP) and cooling energy saving in urban neighborhoods in five Chinese cities. The findings show that the differences in NVP and cooling energy saving between urban and rural areas are climate- and season-dependent, with single-sided ventilation being as effective as cross ventilation in dense urban areas. Considering local or neighborhood-scale climate is important when evaluating NVP.
BUILDING AND ENVIRONMENT
(2023)
Article
Ecology
Rajashree Kotharkar, Anurag Bagade, Aparna Ramesh
LANDSCAPE AND URBAN PLANNING
(2019)
Article
Engineering, Civil
Rajashree Kotharkar, Anusha Vaddiraj Pallapu, Pankaj Bahadure
JOURNAL OF URBAN PLANNING AND DEVELOPMENT
(2019)
Article
Engineering, Civil
Rajashree Kotharkar, Pankaj Bahadure
JOURNAL OF URBAN PLANNING AND DEVELOPMENT
(2020)
Article
Environmental Sciences
Rajashree Kotharkar, Anurag Bagade, Pranjal Raj Singh
Review
Environmental Sciences
Rajashree Kotharkar, Aveek Ghosh
Summary: The IPCC predicts an increase in heat waves frequency over most land areas in the twenty-first century, posing environmental and health concerns, particularly for rapidly growing South Asia. Research shows that South Asia is consistently experiencing warmest temperatures. Current policies and frameworks in the region need improvement to address issues related to urban planning and heat wave adaptation.
Article
Environmental Sciences
Rajashree Kotharkar, Aveek Ghosh, Varun Kotharkar
Summary: The study analyzed the heat stress levels in the Indian city of Nagpur by mapping LCZs and found significant differences in temperature regimes and heat stress levels across different zones. This information can be crucial for targeted heat response planning and heat stress mitigation strategies in heat-prone areas.
Review
Construction & Building Technology
Rajashree Kotharkar, Aveek Ghosh
Summary: This study critically assesses the advent and development of heat-health action plans (HHAPs) and highlights the variations in implementation of core elements in long-term urban planning, real-time surveillance, and evaluation. The study emphasizes the urgent need to address spatial heat vulnerability and build urban heat resilience into implementable action plans.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Geography
Rajashree Kotharkar, Anurag Bagade, Abhay Agrawal
GEOGRAPHICA PANNONICA
(2019)
Article
Environmental Sciences
Rajashree Kotharkar, Anurag Bagade
Review
Environmental Sciences
Rajashree Kotharkar, Aparna Ramesh, Anurag Bagade
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)