Forthcoming and Online First Articles

International Journal of Global Warming

International Journal of Global Warming (IJGW)

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International Journal of Global Warming (17 papers in press)

Regular Issues

  • Recent Developments on Open Thermochemical Energy Storage towards Decarbonized Building Space Heating and Cooling   Order a copy of this article
    by Asli Akyol Inada, Marzieh Rezaei, Devrim Aydin 
    Abstract: Thermal energy storage (TES) is one of the key technologies to achieve sustainability and mitigate the global warming impact. Among the all TES methods, thermochemical energy storage (TCES) presents promising features including relatively high energy density and long term heat storage potential. Accordingly, this study presents an overview with a focus on reaction and sorption-based open TCES systems. Within the study, material, reactor and process integration aspects of open TCES systems both for heating and cooling applications are evaluated. This study could provide important insights on future development of TCES materials and technologies.
    Keywords: thermochemical energy storage; heating; cooling; salt; solar energy; sorption; dissolution; reactor; process.
    DOI: 10.1504/IJGW.2024.10060563
     
  • Transforming Blackwater from Multi-Storey Residential Buildings: A Sustainable and Novel Closed-Loop Approach to Reusable Water and Biogas   Order a copy of this article
    by Venkata Sai Policherla, K. Srinivas Reddy 
    Abstract: One of the most challenging issues in underdeveloped nations is the treatment of domestic blackwater. This study adopts environmentally conscious solar ETC powered MED technology to treat wastewater and biogas digester for handling human waste. This study proposes an integrated solution for a 100-family neighbourhood, processing 3,900 litres of wastewater and 160 kg of faeces each day. In April, the MED unit achieves a 49.25% recovery rate during 5 hours/day operation, yielding 13.22 tonnes of distillate annually. It also generates 1,875.37 kg methane and 55.27 tonnes of organic fertiliser each year. System performance is analysed using a MATLAB R2020a-based mathematical model.
    Keywords: domestic waste; multi-effect distillation; MED; reusable water; biogas digester; fertiliser; decentralised unit.
    DOI: 10.1504/IJGW.2024.10060569
     
  • Climate Change Risk Assessment of Rainfall and Temperature in the West Bank, Palestine   Order a copy of this article
    by Sameer Shadeed, Sandy Alawna 
    Abstract: Risk assessment of climate change in the West Bank was evaluated at various return periods given the available rainfall and temperature data for 1997 to 2020 from six weather stations. Results show that the West Bank rainfall and temperatures will be increased due to climate change’s potential impacts. The rainfall in Jenin and Nablus will be highly affected by climate change whereas Jericho and Jerusalem temperatures will be highly increased due to climate change impact. The obtained results are of high value and could be used by decision makers to develop proper climate change adaptation strategies in Palestine.
    Keywords: climate change; risk; West Bank; rainfall; temperature.
    DOI: 10.1504/IJGW.2024.10060637
     
  • Is it trustworthy to use GCMs data for future climatic predictions?   Order a copy of this article
    by Jatinder Kaur, Prabhjyot Kaur, S.S. Sandhu, Shivani Kothiyal 
    Abstract: The temperature and rainfall output from general circulation models (GCMs) is being widely used in climate change studies. But, is it correct to assume that the outputs from these GCMs, even after appropriate bias removal are giving a true picture of the climate change projections? So, a study was conducted to compare the simulated temperature and rainfall of four models (CSIRO-Mk3-6-0, FIO-ESM, GISS-E2-R and IPSL-CM5A-MR) with actual observed data during five years (20172021) period. The comparison was conducted during the summer (MarchMay), monsoon (JuneSeptember), post monsoon (OctoberNovember) and winter (DecemberFebruary) season under two representative concentration pathway scenarios (RCP 4.5 and 6.0) at agroclimatic zone (AZ) I (Gurdaspur), II (Ballowal Saunkhri), III (Ludhiana), IV (Bathinda) and V (Faridkot). The analysis revealed that both overestimation and underestimation was observed for simulated temperature (maximum: Tmax and minimum: Tmin) and rainfall (RF) over monthly, annual and seasonal time scale.
    Keywords: agroclimatic zones; AZ; general circulation models; GCMs; historical data; temperature; rainfall; RCPs.
    DOI: 10.1504/IJGW.2024.10060746
     
  • Big data-based mitigations for climate disasters by energy-mix strategy incorporated with artificial intelligence (AI)   Order a copy of this article
    by T.A.E. H.O. WOO 
    Abstract: Artificial intelligence (AI) has played an important role in the data analysis for climate disasters. A climate change data analysis is performed by a complex algorithm where there is data orchestration with cloud workflow and management, big data with volume, velocity and variety, and future gateway. The climate consequence is nearly oscillated during the designed period until the 100th month. The assessment values have zero in the 48th and 87th months when the simulations have the highest value. The algorithm in the AI-big data should be studied much more to apply to many areas including the climate matter.
    Keywords: climate; mitigation; disasters; energy; complex.
    DOI: 10.1504/IJGW.2024.10061428
     
  • Enhancing Sustainability in Aviation: AHP Analysis and Smart Energy Concept   Order a copy of this article
    by Omar Alharasees, Utku Kale, Jozsef Rohacs, Dániel Rohács 
    Abstract: Achieving sustainable energy integration in aviation facilities is critical amid rising energy consumption and environmental concerns. This study employs the analytic hierarchy process (AHP) to evaluate energy sources for airfield facilities, emphasising feasibility, sustainability, and practicality. The assessment encompasses solar, wind, water, geothermal, waste-to-energy, biomass, co-/tri-generation, and hydrogen technologies. biomass, co-/tri-generation, and hydrogen technologies. A multidisciplinary smart energy map for Hungary is introduced, aligning local sustainable energy potential with specific location attributes, energy demand profiles, and regulatory considerations. Real-world instances of solar energy integration at airfields underscore feasibility. This research aims to optimise energy use within airfield structures, enhancing efficiency, reducing emissions, and advancing sustainable aviation.
    Keywords: sustainable energy; airfield; aerodrome; analytic hierarchy process; AHP; solar power.
    DOI: 10.1504/IJGW.2024.10062135
     
  • Analytical Hierarchy Process and Data Envelopment Analysis for Assessment of Renewable Energy Sources   Order a copy of this article
    by Müjgan Bilge Eriş, Kemal Tepret, Hande Çavuş Arslan, Çağrı Özgün Kibiroğlu 
    Abstract: Most of the energy resources consumed today come from fossil fuels which are non-renewable and cause harmful effects on the environment. Technological improvements and increasing energy deficit have made countries to prioritize the exploration of alternative options and place greater emphasis on renewable energy resources. In this research, the analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques are used to assess the relative efficiency and generate priority rankings for a set of renewable energy resources in T
    Keywords: analytic hierarchy process; AHP; data envelopment analysis; DEA; energy efficiency; renewable energy resources; multi-criteria decision making.
    DOI: 10.1504/IJGW.2024.10062237
     
  • Empirical analysis on corporate governance impact on carbon footprint reduction towards performance of firm: An empirical investigation   Order a copy of this article
    by Cheng-Jui Tseng  
    Abstract: To enable this study, data on questionnaire responses were collected from 300 employees. The study examines factors, like increasing board size, board gender diversity, board independence, sustainability committees, CEO duality, and ownership concentration. Further analysis is done utilising the statistical package for social sciences (SPSS) on the obtained details. Moreover, to statistically identify the relationship among independent variables, ANOVA assessment is carried out. Finally, the analysis evident that the ownership concentration serves as the most significant contributor to lowering the carbon emissions, as it has shown the biggest impact on the issue.
    Keywords: corporate governance; carbon footprint; greenhouse gases; GHG; carbon emission; carbon emission reduction; CER.
    DOI: 10.1504/IJGW.2024.10062270
     
  • A Smart Crop, Irrigation System, and Fertilizer Prediction Using IoT and Machine Learning   Order a copy of this article
    by Prince Rajpoot, Ram Avtar, Amit Kumar Pandey, Shivendu Mishra, Vikas Patel, Amrendra Yadav, Shikha Choudhary, Kumkum Dubey, Digvijay Pandey 
    Abstract: Agriculture plays a crucial role in building a nation's economy. Environmental change due to global warming affects groundwater levels and crop production. Other problems also affect crop productivity, like workforce availability, changing soil nature, etc. These circumstances lead to an update of the traditional agriculture model. To enhance productivity, we have proposed a machine learning (ML) and IoT-based model that may overcome these problems with some intent. The proposed ML-based model is trained by the datasets of crops and irrigation models with efficient conditions to predict the best crop type according to the environmental conditions and suitable fertiliser with the optimised irrigation system for the area.
    Keywords: agriculture; artificial intelligence; irrigation; IoT; sensor.
    DOI: 10.1504/IJGW.2024.10062459
     
  • Research on impact factors of Chinese urban residents' voluntary carbon-reducing behaviour based on the moderating role of flexible nudging   Order a copy of this article
    by Ting Yue, Yingkai Zhang, Jing Zhou, Ruyin Long, Hong Chen, Lan Zhang 
    Abstract: Urban residents' behaviour is the primary cause of carbon emissions; flexible nudge encourages individuals to voluntarily adopt a certain behaviour to cut that down. This study proposed a definition, dimensions, and a theoretical model of voluntary carbon-reducing behaviour. Results from testing 902 valid questionnaires showed that: 1) private voluntary carbon-reducing behaviour is better implemented than public behaviour; 2) significant differences exist in age, marital status, and educational level; 3) psychological variables indirectly affect voluntary carbon-reducing behaviour through intention; 4) flexible nudging has significant moderating roles. Guiding strategies are suggested to encourage urban residents to voluntarily reduce carbon emissions.
    Keywords: carbon emission; voluntary carbon-reducing behaviour; flexible nudging; behavioural nudge.
    DOI: 10.1504/IJGW.2024.10062504
     
  • Long-term variations and synoptic features of heat waves in Turkiye   Order a copy of this article
    by Hakki Baltaci, Yunus öztürk, Bulent Oktay Akkoyunlu 
    Abstract: This study investigates the frequency distribution and magnitude changes of heat waves (HWs) together with their controlling synoptic mechanisms for Turkiye. Daily maximum temperature (Tmax) records of 94 meteorological stations are used for the period 19602019. Tmax above the 90th percentile and at least three consecutive days are used to define heat wave (TmaxHW) for the warm period (MaySeptember) of a year. Total numbers of HWs are in increasing mode in Turkiye, especially in the last decade. Maximum increase in the number of HWs (NHWs) is shown in the coastal areas (Marmara, Aegean and Black Sea regions with 0.54, 0.46, and 0.44 NHWs/decade, respectively). For Aegean, extension of Asiatic summer monsoon low to the central Anatolia and associated easterly terrestrial surface winds, high temperature gradients at 850-hPa level, extension of mid-level ridge and associated abnormal decreases in cloud cover are the main reasons causing heat wave events.
    Keywords: heat waves; global warming; synoptic conditions; Turkiye.
    DOI: 10.1504/IJGW.2024.10062599
     
  • Economic analysis of grid-side electrochemical energy storage station considering environmental benefits: A case study   Order a copy of this article
    by Caiqing Zhang, Yuanzi Xu 
    Abstract: Electrochemical energy storage stations (EESS) can integrate renewable energy and contribute to grid stabilisation. However, high costs and uncertain benefits impede widespread EESS adoption. This study develops an economic model for grid-side EESS projects, incorporating environmental and social factors through life cycle cost assessment. Economic indicators, including net present value (NPV), are analysed with sensitivity assessment. Using a South China case study, environmental and social benefits substantially elevate NPV to 1,482,189.62 USD, highlighting the model’s ability to comprehensively capture project value. The findings offer policy recommendations to enhance economic viability and promote the large-scale deployment of EESS for effective grid management.
    Keywords: economic analysis; electrochemical energy storage; grid-side energy storage; life cycle cost; environmental benefits; renewable energy integration; load shifting; net present value; NPV.
    DOI: 10.1504/IJGW.2024.10062797
     
  • Revisited the nexus between renewable energy consumption and economic growth: A smooth transition regression approach   Order a copy of this article
    by Khang Yi Sim, Siok Kun Sek 
    Abstract: The global demand for energy resources is increasing significantly. Since several decades ago, the gross domestic product (GDP) has risen with increased energy consumption. Fossil fuel consumption that emits greenhouse gases causes several environmental issues, such as climate change and air pollution, besides affecting agriculture and livestock. Hence, the awareness to promote environmental quality through green energy and the transition to renewable energy consumption (REC) is becoming more prevalent worldwide. This study applies a nonlinear technique, specifically the smooth transition regression (STR) method, to explore the two-way REC-GDP nexus using the world's quarterly data from 1970 to 2021. The logistic and exponential functions of the STR are compared to capture the smooth transition of the GDP and REC growth rates across regimes. The findings revealed nonlinearities. The REC and GDP growths are reactive to their historical movements. Therefore, proactive actions are necessary to mitigate the adverse effects of historical growth.
    Keywords: renewable energy consumption; REC; economic growth; sustainability; smooth transition regression; STR; nonlinear approach.
    DOI: 10.1504/IJGW.2024.10062798
     
  • Investigation of the effect of solar energy use in buildings on reducing carbon dioxide emissions   Order a copy of this article
    by Ebru Hancioğlu 
    Abstract: The aim of this study was to examine the reduction in CO2 emissions by using solar modules. In the article, the energy analysis of Narldere Nursing Home and Rehabilitation Centre (NNHRM) an exemplary public building in Izmir, was discussed. In this study, it was determined that if 1,500 kWp PV Panels were used, approximately 63.58% of the facilitys electricity needs would be met by PV panels. It was revealed that by using the use of PV panels, an improvement of 6.98% in primary energy, 12.27% in CO2 emissions and 7.51% in PER would be achieved. The repayment period is calculated as 7.1 years.
    Keywords: energy analysis; solar energy; energy consumption; CO2 emission.
    DOI: 10.1504/IJGW.2024.10062931
     
  • Spatio-temporal patterns of rainfall variability in Bangladesh   Order a copy of this article
    by Lipon Chandra Das, Zhihua Zhang, M. James C. Crabbe, Anxin Liu 
    Abstract: Bangladesh is experiencing a more rapid warming trend compared to the global average, facing significant climate-related risks. This study gave a comprehensive assessment of rainfall variability across the whole Bangladesh during 19892022. Annual rainfall in Bangladesh exhibited significant decreasing trends and high oscillation patterns. The multi-scale SPI and SPEI analysis revealed that Bangladesh experienced severe droughts in 1995, 1999, 2018, 2021 and 2022. The DFA revealed that rainfall evolution exhibited significant long-term positive correlation in almost Bangladesh. These results will support policymakers in Bangladesh to develop suitable strategies in mitigating climate change impacts.
    Keywords: rainfall variability; pattern analysis; inter-annual oscillations; drought evolution; long-range correlation; Bangladesh.
    DOI: 10.1504/IJGW.2024.10063123
     
  • High-resolution Precipitation Prediction in Bangladesh via Ensemble Learning   Order a copy of this article
    by Yichen Wu, Jiaxin Yang, Lipon Chandra Das, Zhihua Zhang, M. James C. Crabbe 
    Abstract: As a developing agricultural country, Bangladesh is vulnerable to the effects of climate change, so accurate precipitation prediction is of great value to Bangladesh in achieving sustainable development. Traditional climate simulation models and prediction tools find it challenging to meet the growing needs on high spatial resolution. In this paper, we developed a XGBoost-based spatio-temporal precipitation prediction model and then generated high-resolution precipitation distribution maps in Bangladesh from 2025 to 2035, where the spatial resolution can reach 0.1
    Keywords: XGBoost model; precipitation prediction; Bangladesh.
    DOI: 10.1504/IJGW.2024.10063129
     
  • Estimation of the carbon footprint from road transportation: a case study   Order a copy of this article
    by Samed Aksoy, Ebru Koçak 
    Abstract: This research aims to estimate the carbon footprint of road transport in Aksaray, Turkey. The study used the Intergovernmental Panel on Climate Change tier 1 and tier 2 methodologies and found alarming increases in CO2 emissions from benzene and diesel, indicating a significant environmental impact. The results also highlight the need for ongoing monitoring and regulation of benzene and LPG emissions due to methodological differences. However, diesel emissions showed consistent assessment approaches between tier 1 and tier 2 methodologies. These findings provide valuable insights into the region's evolving carbon footprint, emphasising the need for precise methodologies for effective environmental management.
    Keywords: road transportation; carbon footprint; IPCC; tier 1; tier 2; ANOVA; global warming; emissions; air pollution.
    DOI: 10.1504/IJGW.2024.10063186