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CMUThink Seattle: Fueling Communities with the Power of Data: Home
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How demand for electricity evolves in communities that gain access to a rural mini-grid, with the goal of supporting decision-making for sustainable energy development and consumption
Paulina Jaramillo is an associate professor of engineering and public policy and co-director of the Green Design Institute at Carnegie Mellon University. She is involved in key multi-disciplinary research projects to better understand the social, economic and environmental implications of energy consumption and the public policy tools that can be used to support sustainable energy development and consumption.
Reid Frazier. The Allegheny Front. April 29, 2016.
Integration of Demand Response into the Electricity Chain by Arturo Losi; Pierluigi Mancarella; Antonio Vicino
Publication Date: 2015-12-07
The concept of Demand Response (DR) generally concerns methodologies, technologies and commercial arrangements that could allow active participation of consumers in the power system operation. The primary aim of DR is thus to overcome the "traditional" inflexibility of electrical demand and, amongst others, create a new powerful tool to maximize deployment of renewable energy sources as well as provide active network management solutions to help reducing the impact of limited grid capabilities. DR allows consumers to actively participate in power system operation, thus bringing new opportunities in emerging energy markets as well as tangible system benefits. In this sense, DR is considered one of the key enablers of the Smart Grid concept. However, DR also poses a number of challenges, particularly when "active demand" is connected to the Low Voltage network, thus affecting all the actors involved in the electricity chain. This book presents for the first time a comprehensive view on technical methodologies and architectures, commercial arrangements, and socio-economic and regulatory factors that could facilitate the uptake of DR. The work is developed in a systematic way so as to create a comprehensive picture of challenges, benefits and opportunities involved with DR. The reader will thus be provided with a clear understanding of the complexity deriving from a demand becoming active, as well as with a quantitative assessment of the techno-economic value of the proposed solutions in a Smart Grid context.
The Future of Electricity Demand by Tooraj Jamasb (Editor); Michael G. Pollitt (Editor)
Publication Date: 2015-07-02
What will electricity and heat demand look like in a low-carbon world? Ambitious environmental targets will modify the shape of the electricity sector in the twenty-first century. 'Smart' technologies and demand-side management will be some of the key features of the future of electricity systems in a low-carbon world. Meanwhile, the social and behavioral dimensions will complement and interact with new technologies and policies. Electricity demand in the future will increasingly be tied up with the demand for heat and for transport. The Future of Electricity Demand looks into the features of the future electricity demand in light of the challenges posed by climate change. Written by a team of leading academics and industry experts, the book investigates the economics, technology, social aspects, and policies and regulations which are likely to characterize energy demand in a low-carbon world. It provides a comprehensive and analytical perspective on the future of electricity demand.
The ClIMA research group, housed in the Department of Engineering and Public Policy at Carnegie Mellon University, brings together an interdisciplinary group of researchers to answer critical questions on issues related to Climate Impacts, Mitigation and Adaptation in the Energy System.
FarmView: CMU Researchers Working to Increase Crop Yield With Fewer Resources. FarmView uses a four-wheeled robot, drones, stationary sensors, and artificial intelligence techniques.
“These technologies are helping grain sorghum breeders develop a variety that will result in optimum yield,” Kantor said. “By precisely measuring all the parameters, breeders and plant geneticists can better select for traits such as high yield, disease resistance and drought tolerance.” -- SCS MoonshotsThe Link (Winter 2016), page 6.
In 20 years there will be 9.6 billion people to feed and not enough food. Carnegie Mellon University’s FarmView is tackling this problem through a team effort of researchers and robots that will increase crop yields with fewer resources by controlling and measuring the environment then analyzing the data to provide solutions to farmers across the globe.
The aim of the book is to introduce the state-of-the-art technologies in the field of robotics, mechatronics and automation in agriculture in order to summarize and review the improvements in the methodologies in agricultural robotics. Advances made in the past decades are described, including robotics for agriculture, mechatronics for agriculture, kinematics, dynamics and control analysis of agricultural robotics, and a wide range of topics in the field of robotics, mechatronics and automation for agricultural applications.
Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective.
This book covers three main types of agricultural systems: the use of robotics, drones (unmanned aerial vehicles), and satellite-guided precision farming methods. Some of these are well refined and are currently in use, while others are in need of refinement and are yet to become popular. The book provides a valuable source of information on this developing field for those involved with agriculture and farming and agricultural engineering. The book is also applicable as a textbook for students and a reference for faculty.
The Robotics Institute at Carnegie Mellon University was established in 1979 to conduct basic and applied research in robotics technologies relevant to industrial and societal tasks. Seeking to combine the practical and the theoretical, the Robotics Institute has diversified its efforts and approaches to robotics science while retaining its original goal of realizing the potential of the robotics field.
The facility includes approximately 100,000 square feet at the main Pittsburgh campus, another 100,000 square feet at the National Robotics Engineering Center in Lawrenceville and 7,000 square feet and 40 acres of testing fields at Robot City, the Field Robotics test site in Hazelwood.