http://yetl.yabesh.ir/yetl1/handle/yetl/4273116 Wed, 26 Aug 2026 16:17:52 GMT 2026-08-26T16:17:52Z https://localhost:443/yetl1/bitstream/id/422678/ http://yetl.yabesh.ir/yetl1/handle/yetl/4273116 http://yetl.yabesh.ir/yetl1/handle/yetl/4315949 Enhancing Climate Resilience in Malaysian Cities: Barriers and Strategies for Sustainable Urban Development in Malaysia Mustaffa, Nur Kamaliah; Ekundayo, Damilola; Mustaffa, Aminuddin; Nor Shahrudin, Nur Shuhada; Mukhtar, Nurul Atiqah; Abdul Aziz, Mohd Feisal Hafiz; Jamil, Zadariana Abstract. As climate change intensifies, Malaysian cities face increasing risks from floods, extreme rainfall, heatwaves, and droughts, threatening communities, infrastructure, and economic development. This study examines the barriers and strategies for enhancing urban climate resilience using a mixed-methods approach, including a survey of 101 city stakeholders and ten expert interviews. Findings reveal major institutional, financial, and technical challenges, including fragmented governance, policy gaps, limited public awareness, insufficient investment, and inadequate technical capacity. Experts advocate integrated strategies: operationalizing the National Adaptation Plan (NAP), enforcing climate policies, scaling up investments, strengthening infrastructure, promoting public–private partnerships, and building technical and community capacity. These measures aim to shift adaptation from reactive and fragmented to proactive and systemic, supporting the 13th Malaysia Plan (2026–2030), and SDGs 9, 11, and 13. The study provides actionable insights for policymakers and urban planners, enhancing understanding of key drivers of climate resilience and guiding sustainable urban development in Malaysia. Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4315949 2026-01-01T00:00:00Z http://yetl.yabesh.ir/yetl1/handle/yetl/4315948 Thermal Performance and Energy Benefits of Dynamic Insulation–Phase Change Material Wall Systems Applied to Residential Buildings Dahal, Utsav; Dehwah, Ammar H. A.; Krarti, Moncef Abstract. This study uses a validated Resistance Capacitance (RC) Network modeling framework for analyzing the energy-efficiency benefits of integrating dynamic insulation systems (DIS) with phase change materials (PCMs) in building energy simulations. DIS offers variable thermal resistance capability, while PCM provides enhanced energy-storage capacity for building envelope systems. Specifically, four-wall constructions, including only static insulation, only DIS, PCM with static insulation (i.e., PCM), and PCM with dynamic insulation (i.e., PCM-DIS), are considered. The analysis results indicate that coupling DIS with PCM in wall assemblies (i.e., PCM-DIS) can achieve reductions in the annual heating and cooling energy needs reaching 42.7% in San Francisco, CA, 29.2% in Golden, CO, 12.6% in Phoenix, AZ, and 24.4% in Minneapolis, MN, relative to statically insulated residential buildings. Sensitivity analyses show that lower PCM fusion temperatures consistently produced the greatest annual HVAC reductions across all climates, while higher switching ratios amplify the benefits of the PCM-DIS configuration. Although increased internal loads and building orientation reduced their relative savings, PCM-DIS configurations still maintained meaningful reductions in total HVAC use, demonstrating robust performance even under less favorable operating conditions. Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4315948 2026-01-01T00:00:00Z http://yetl.yabesh.ir/yetl1/handle/yetl/4315947 The Peak Energy Load Management System: A Case Study in Montreal Sookdar, Kaiden P.; Montoya-Rincon, Juan P.; Gamarro, Harold; Gonzalez-Cruz, Jorge E.; Rousseau-Rizzi, Raphaël; Zinflou, Arnaud; Dione, Mouhamadou Makhtar Abstract. Extreme warm temperature events cause energy consumption and resultant electrical power demand spikes in large metropolitan areas and pose challenges to energy service providers, while enhancing operational blackout risk. This results in the disruption of essential services and impacts on public health. These events are projected to increase in frequency, especially in further northern latitudes historically less used to them. Current methods to forecast short-term electricity demands lack the complexity required for dense urban environments, in addition to the insufficient resolution and physics of current numerical weather prediction models. The peak energy load management system, or PELMS, is a novel approach to forecasting energy consumption at sufficient lead times for its information to be employed by utilities. Using the weather research and forecasting (WRF) model, PELMS downscales Numerical Weather Prediction Models to a resolution of 1 km and integrates multilayer urban parameterization and integrated building energy models. With this framework, fine-scale peak load forecasts are possible in advance of extreme events, adjusting forecasts dynamically to minimize grid disruption. Results for PELMS's pilot from the heatwave of June 24–25, 2025, in Montreal, Quebec, Canada, are shown. The model was able to accurately predict the magnitude of the heatwave across the city well in advance and precisely depict building air conditioning demand across the Island of Montreal for operational purposes. The viability of PELMS as a forecast tool is discussed, as well as the initiative's next steps. Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4315947 2026-01-01T00:00:00Z http://yetl.yabesh.ir/yetl1/handle/yetl/4315946 Unified Modeling Architecture for Load Management in Extreme Heat: The New York City Case Elgalad, N. W.; Madhusmita, S.; Gamarro, H.; Montoya-Rincon, J. P.; Sookdar, K.; Jensen, M. P.; Yue, M.; González-Cruz, J. E. Abstract. Integration of renewable resources to meet growing energy demand is becoming a global priority under decarbonization mandates. This study contributes to ongoing efforts on this key subject by assessing the feasibility of using coastal-urban renewable energy resources, namely, offshore wind and rooftop photovoltaic systems, to meet electricity demand of New York City during the intense recent heat wave period of June 2025. A unified modeling framework, based on the urbanized weather research and forecasting model, is used to simulate climate, renewable resources, and energy demand variables. Findings show significant energy load mismatch of approximately 1150 GWh over the month, between the demand and the combined renewable generation outcome. Three storage integration scenarios are analyzed to mitigate the deficits, reducing said deficits by a minimum of approximately 9% over the duration of the month. This study provides a transferable modeling framework tool for evaluating renewable integration in dense urban environments that can be used by grid operators to support grid resilience during extreme heat events. Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4315946 2026-01-01T00:00:00Z