Data Storage Systems Commons^™

Dataset To Analyzing Energy Use In 2 & 3d Imaging Systems And Workflows, Michael J. Bennett

Published Works

Analyzing Energy Use in 2D & 3D Imaging Systems and Workflows Dataset

CONTENTS: Z-WaveReportingProfiles; SessionInput; DroneFlights; SessionsComputed; Types; ByType; GrossSummaryUnweighted; WeightingSummary; Raw Sampling History Data

Powering The Machine, Draining The Planet: Whether U.S. Environmental Law Is Equipped To Regulate The Energy And Water Demands Of Ai Data Centers, Michael Marcu

Journal of Earth and Life Science

Artificial intelligence (AI) data centers have become one of the United States' fastest-growing and least-regulated sources of environmental stress. In 2024 alone, U.S. data centers consumed 183 terawatt-hours (TWh) of electricity more than the entire nation of Pakistan and consumed an estimated 17 billion gallons of water (IEA, 2025; Berkeley Lab, 2024). By 2030, electricity demand from these facilities is projected to reach 426 TWh, a 133% increase in six years (Pew Research Center, 2025). This paper examines whether the existing U.S. environmental regulatory framework put by the National Environmental Policy Act (NEPA), the Clean Water Act (CWA), and the …

Clear Skies, Avery C. Munn

Williams Honors College, Honors Research Projects

Air quality impacts public health, environmental sustainability, and quality of life. However, accurate and easily accessible short-term air quality forecasting is challenging to find. This project, Clear Skies, presents a machine learning–based system for forecasting next-day Air Quality Index (AQI) levels across regions in Ohio. By using historical pollutant data with variables such as temperature, humidity, wind speed, and atmospheric pressure, the system finds relationships that traditional statistical models often don’t show.

Machine learning models are evaluated alongside AI techniques to find the environmental factors that influence AQI predictions. This helps reduce the “black box” nature of many AI systems …

Do Grant Funding And Pro-Environmental Spillovers Influence Household Hazardous Waste Collection?, Kustini Lim-Wavde, Robert J Kauffman, Tin Seong Kam, Gregory S. Dawsond

Research Collection School Of Computing and Information Systems

Agency and state grant funding should be disseminated in ways so it will result in better management of household hazardous waste (HHW) and environmental sustainability. Since location seems to matter in HHW collection activities, it is important to consider pro-environmental spatial spillovers that occur, based on agency actions and waste collection behavior taking place in other locations. These may influence HHW-related practices in close-by regions. Using a county-level spatio-temporal dataset that consists of economic, demographic, and HHW data in California from 2004 to 2015, we evaluate the impact of HHW grants on HHW collection activities while considering pro-environmental spillovers. We …

A Data-Driven Approach For Benchmarking Energy Efficiency Of Warehouse Buildings, Wee Leong Lee, Kar Way Tan, Zui Young Lim

Research Collection School Of Computing and Information Systems

This study proposes adata-driven approach for benchmarking energy efficiency of warehouse buildings.Our proposed approach provides an alternative to the limitation of existingbenchmarking approaches where a theoretical energy-efficient warehouse was usedas a reference. Our approach starts by defining the questions needed to capturethe characteristics of warehouses relating to energy consumption. Using an existingdata set of warehouse building containing various attributes, we first cluster theminto groups by their characteristics. The warehouses characteristics derivedfrom the cluster assignments along with their past annual energy consumptionare subsequently used to train a decision tree model. The decision tree providesa classification of what factors contribute to different …

Systems Approach To Link Big Socio-Ecological Geo-Data To Food Systems Sustainability, Quang Bao Le, Chandrashekhar Biradar, Enrico Bonaiuti, Richard Thomas

International Congress on Environmental Modelling and Software

Rapid development of multi-dimensionally, multi-scale, timely updated socio-ecological geo-data presents an opportunity as potential information resource for supporting effective decision- making of stakeholders involved with food systems, from daily routines of individuals to strategic decisions of manager and policy-makers. However, the use of this type of big data toward supporting the sustainability of food systems at different scales still fall short of (i) what information commonly needed by food system actors to response and adapt to socio-ecological change and enhance the system performance, (ii) interoperability between different types of data across scales, and (iii) sufficient guidance to utilize big data …

Methodological Abilities Of Integrated Models To Support Agricultural Landscape Resilience: Current Status And Research Perspectives, Quang Bao Le

International Congress on Environmental Modelling and Software

It is important to increase the resilience of rural landscapes in the face of global changes. It is widely recognized that integrated modeling is often a methodological choice to study landscape resilience because the task is often beyond the ability of direct, empirical studies. However, so far there has not yet been a systemized, critical review on methodological abilities current modeling approaches can have for supporting management for agricultural landscape resilience. This review study (i) highlighted the methodological abilities of integrated system modeling ideally needed for agricultural landscape management for resilience, (ii) reviewed strengths and weakness of common integrated modeling …

The Role Of Social Institutions In The Resolution Of International Conflicts Over Shared Fishing Resources, Cezara Păstrăv, Frank Dignum

International Congress on Environmental Modelling and Software

International conflicts over shared fishing resources may rise in numbers in the context of climate change, which has lead, and will continue to lead, to changes in behavior patterns and geographic distribution of fish and other marine resources of interest to the fishing industry. Under these circumstances, being able to quickly adapt to unexpected changes becomes a very desirable trait for the fishing industry. Unfortunately, the current conflict resolution processes are often difficult, time consuming and sometimes not maintained.

We are interested in whether more sustainable mechanisms, that act from the bottom up and are easier to enforce by the …

Exploration Of The Long Term Sustainability Of The French Risk Management, Frédéric Grelot, Bruno Bonté, Zhongyang Fang

International Congress on Environmental Modelling and Software

Public flood risk management (FRM) in France, as in other countries like USA, Great Britain, relies on a combination of tools dealing with the negative consequences of flood. Spatial scale of those tools differs: insurance is defined and managed at national scale, land use regulation is defined at national scale but implemented at local scale, protection against flood may be implemented at local or even individual scales. The objective of this communication is to build a model for the analysis of the sustainability of the French FRM. For this, we used a simple but contextualized agent-based model (Cat-Nat ABM).

In …

Experiences With A Serious Online Game For Exploring Complex Relationships Of Sustainable Land Management And Human Well-Being: Landyous, Ralf Seppelt, Romina Martin, Alexander Finger, Christin Henzen, Martin Linder, Katrin Pietzsch, Andreas Werntze, Ute Zander, Jule Schulze

International Congress on Environmental Modelling and Software

Land is a limited resource. Its use for one purpose excludes other uses. Addressing the issue of human appropriation of natural resources thus requires understanding of a variety of complex feedbacks between decisions on land use and ecosystem services. The complexity is caused by a large number of mostly nonlinear feedbacks between management strategies, productivity, environmental quality, human well-being, consumption and many other aspects of land use. Here, we present LandYOUs: an educational online game, which aims at explaining and illustrating various options and feedbacks of sustainable land management (SLM) to the interested public, students and stakeholders. The game gives …