PapersFlow Research Brief
Energy and Environmental Systems
Research Guide
What is Energy and Environmental Systems?
Energy and Environmental Systems is a research cluster examining disaster management, urban resilience, energy consumption in buildings, smart city development, and technological solutions like IoT and predictive modeling to enhance environmental sustainability and emergency response.
The field encompasses 28,980 works focused on topics such as mobile computing for firefighters, intelligent disaster prediction models, and decision support systems for typhoon and flood management. Key areas include energy consumption surveys for commercial and residential buildings, with "Commercial Buildings Energy Consumption Survey" (2017) analyzing U.S. commercial building stock and energy expenditures (441 citations), and "Residential Energy Consumption Survey (2016)" (2019) addressing household energy use (419 citations). Research also covers energy management systems, as reviewed in "Energy savings by energy management systems: A review" (2015), which documented potential savings (374 citations).
Topic Hierarchy
Research Sub-Topics
Disaster Predictive Modeling
This sub-topic develops machine learning and statistical models for forecasting natural disasters like floods and typhoons using IoT sensor data and satellite imagery. Researchers focus on accuracy improvement, uncertainty quantification, and real-time prediction frameworks.
Urban Resilience Assessment
Researchers create frameworks and metrics to evaluate cities' ability to withstand and recover from disasters, incorporating infrastructure, social, and economic dimensions. Studies emphasize multi-hazard scenarios and resilience enhancement strategies.
IoT in Emergency Response
This area investigates IoT networks for real-time monitoring, sensor fusion, and communication in disaster scenarios supporting first responders. Key research includes edge computing, low-power protocols, and integration with mobile computing.
Building Energy Consumption Modeling
Studies develop simulation models and data-driven approaches to analyze and optimize energy use in commercial and residential buildings during normal and crisis conditions. Focus includes occupant behavior integration and demand-side management.
Smart City Decision Support Systems
This sub-topic explores AI-driven decision systems for urban disaster management, integrating multi-source data for evacuation planning and resource distribution. Research covers optimization algorithms and human-in-the-loop interfaces.
Why It Matters
Energy and Environmental Systems research supports practical improvements in urban infrastructure and emergency preparedness. For instance, "Commercial Buildings Energy Consumption Survey" (2017) provides data on U.S. commercial buildings' energy-related characteristics and expenditures, enabling targeted efficiency measures across 5.9 million buildings. "Energy savings by energy management systems: A review" (Lee and Cheng, 2015) quantifies reductions achievable through these systems, applied in buildings to lower consumption. "Korean ubiquitous-eco-city: A smart-sustainable urban form or a branding hoax?" (Yiğitcanlar and Lee, 2013) evaluates smart city initiatives for sustainability, informing urban planning in projects like South Korea's eco-city developments. These studies guide policymakers in disaster response and energy policy, such as flood management systems and IoT for cattle health monitoring.
Reading Guide
Where to Start
"Commercial Buildings Energy Consumption Survey" (2017) serves as the starting point because it offers foundational data on energy use in buildings, central to the cluster's focus on consumption and sustainability, with clear survey methodology suitable for newcomers.
Key Papers Explained
"Commercial Buildings Energy Consumption Survey" (2017) establishes baseline data on commercial energy use (441 citations), complemented by "Residential Energy Consumption Survey (2016)" (Liao, 2019; 419 citations) for household patterns. "Energy savings by energy management systems: A review" (Lee and Cheng, 2015; 374 citations) builds on these by reviewing management techniques to reduce consumption. "Korean ubiquitous-eco-city: A smart-sustainable urban form or a branding hoax?" (Yiğitcanlar and Lee, 2013; 307 citations) extends to smart city applications integrating energy systems.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Current work emphasizes predictive modeling for disasters and IoT in urban resilience, as described in the cluster overview, with no recent preprints available to indicate specific ongoing frontiers.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | Development and Validation of a Smartphone Addiction Scale (SAS) | 2013 | PLoS ONE | 1.6K | ✓ |
| 2 | An investigation of the accuracy of virtual population analysi... | 1972 | Medical Entomology and... | 467 | ✕ |
| 3 | Commercial Buildings Energy Consumption Survey | 2017 | — | 441 | ✕ |
| 4 | Prevalence of Internet addiction and correlations with family ... | 2008 | PubMed | 428 | ✕ |
| 5 | Residential Energy Consumption Survey (2016) | 2019 | — | 419 | ✓ |
| 6 | Modeling the Risk From Giardia and Viruses in Drinking Water | 1991 | American Water Works A... | 387 | ✕ |
| 7 | Energy savings by energy management systems: A review | 2015 | Renewable and Sustaina... | 374 | ✕ |
| 8 | A Content Analysis of Popular Smartphone Apps for Smoking Cess... | 2013 | American Journal of Pr... | 364 | ✓ |
| 9 | Modeling the Risk from <i>Giardia</i> and Viruses in Drinking ... | 2018 | American Water Works A... | 323 | ✕ |
| 10 | Korean ubiquitous-eco-city: A smart-sustainable urban form or ... | 2013 | Technological Forecast... | 307 | ✕ |
Frequently Asked Questions
What does the Commercial Buildings Energy Consumption Survey cover?
"Commercial Buildings Energy Consumption Survey" (2017) is a national sample survey collecting data on the U.S. stock of commercial buildings, their energy-related characteristics, and energy consumption and expenditures. It includes all buildings used for commercial purposes. The survey has 441 citations.
How do energy management systems achieve savings?
"Energy savings by energy management systems: A review" (Lee and Cheng, 2015) examines systems that reduce energy use in buildings. These systems monitor and control consumption to achieve measurable savings. The review has 374 citations.
What is analyzed in Residential Energy Consumption Survey?
"Residential Energy Consumption Survey (2016)" (Liao, 2019) focuses on household energy consumption patterns. It provides data for understanding residential energy use. The work has 419 citations.
What are smart-sustainable urban forms in this field?
"Korean ubiquitous-eco-city: A smart-sustainable urban form or a branding hoax?" (Yiğitcanlar and Lee, 2013) assesses eco-city projects using ubiquitous computing for sustainability. It questions whether these represent genuine urban forms or branding efforts. The paper has 307 citations.
How is risk modeled from microorganisms in drinking water?
"Modeling the Risk From Giardia and Viruses in Drinking Water" (Regli et al., 1991) assesses risks from specific pathogens, outlines monitoring needs, and proposes risk level demonstrations. The approach applies to water treatment decisions. It has 387 citations.
Open Research Questions
- ? How can IoT and mobile computing be optimized for real-time firefighter support in disaster management?
- ? What predictive modeling techniques most accurately forecast typhoon and flood impacts on urban areas?
- ? In what ways do energy management systems integrate with smart city infrastructure for maximum environmental sustainability?
- ? How effective are decision support systems in improving cattle health monitoring under disaster conditions?
- ? What metrics best evaluate urban resilience against energy consumption spikes during emergencies?
Recent Trends
The field maintains 28,980 works with no specified 5-year growth rate; high-citation papers like "Commercial Buildings Energy Consumption Survey" (2017, 441 citations) and "Residential Energy Consumption Survey " (2019, 419 citations) reflect sustained focus on energy consumption data, while no recent preprints or news coverage indicates steady rather than accelerating activity.
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