8,541 research outputs found
Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments
The increased penetration of uncertain and variable renewable energy presents
various resource and operational electric grid challenges. Micro-level
(household and small commercial) demand-side grid flexibility could be a
cost-effective strategy to integrate high penetrations of wind and solar
energy, but literature and field deployments exploring the necessary
information and communication technologies (ICTs) are scant. This paper
presents an exploratory framework for enabling information driven grid
flexibility through the Internet of Things (IoT), and a proof-of-concept
wireless sensor gateway (FlexBox) to collect the necessary parameters for
adequately monitoring and actuating the micro-level demand-side. In the summer
of 2015, thirty sensor gateways were deployed in the city of Managua
(Nicaragua) to develop a baseline for a near future small-scale demand response
pilot implementation. FlexBox field data has begun shedding light on
relationships between ambient temperature and load energy consumption, load and
building envelope energy efficiency challenges, latency communication network
challenges, and opportunities to engage existing demand-side user behavioral
patterns. Information driven grid flexibility strategies present great
opportunity to develop new technologies, system architectures, and
implementation approaches that can easily scale across regions, incomes, and
levels of development
Deriving Digital Energy Platform Archetypes for Manufacturing – A Data-Driven Clustering Approach
External factors such as climate change and the current energy crisis due to global conflicts are leading to the increasing relevance of energy consumption and energy procurement in the manufacturing industry. In addition to the growing call for sustainability, companies are increasingly struggling with rising energy costs and the reliability of the power grid, which endangers the competitiveness of companies and regions affected by high energy prices. Appropriate measures for energy-efficient and, not least, energy-flexible production are necessary. In addition to innovations and optimizations of plants and processes, digital energy platforms for the visualization, analysis, optimization, and control of energy flows are becoming essential. Over time, several digital energy platforms emerged on the market. The number and the different functionalities of the platforms make it challenging for classic manufacturing companies to keep track and select the right digital energy platform. In literature, the characteristics and functionalities of digital energy platforms have already been identified and structured. However, a classification of existing platforms into archetypes makes it easier for companies to select the platforms providing the missing functionality. To tackle this issue, we conducted an explorative and data-driven cluster analysis based on 49 existing digital energy platforms to identify digital energy platform archetypes and derive implications for research and practice. The results show five different archetypes that differ primarily in terms of functionalities on energy market integration. The identified archetypes provide a well-founded overview of the similarities and differences of digital energy platforms. Decision makers in manufacturing companies will benefit from the archetypes in future analyses as decision support in procurement processes and modifications of digital energy platforms
Designing Parametric Constraint Based Power Aware Scheduling System in a Virtualized Cloud Environment
The increasing rate of the demand for computational resources has led to the production of largescale data centers. They consume huge amounts of electrical power resulting in high operational costs and carbon dioxide emissions. Power-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power aware resource management strategies, also known as 201C;Green IT201D;. Here we propose a framework for autonomic scheduling of tasks based upon some parametric constraints. In this paper we propose an analysis of the critical factors affecting the energy consumption of cloud servers in cloud computing and consideration to make performance very fast by using Sigar API to solve speed problems. In PCBPAS we impose some parametric constraints during task allocation to the server that can be adjusted dynamically to balance the server2019;s workloads in an efficient way so that CPU consumption can be improved and energy saving be achieved
GreenMail: Reducing Email Service's Carbon Emission with Minimum Cost
Internet services contribute a large fraction of worldwide carbon emission
nowadays, in a context of increasing number of companies tending to provide and
more and more developers use Internet services. Noticeably, a trend is those
service providers are trying to reduce their carbon emissions by utilizing
on-site or off-site renewable energy in their datacenters in order to attract
more customers. With such efforts have been paid, there are still some users
who are aggressively calling for even cleaner Internet services. For example,
over 500,000 Facebook users petitioned the social networking site to use
renewable energy to power its datacenter. However, it seems impossible for such
demand to be satisfied merely from the inside of those production datacenters,
considering the transition cost and stability. Outside the existing Internet
services, on the other hand, may easily set up a proxy service to attract those
renewable-energy-sensitive users, by 1) using carbon neutral or even
over-offsetting cloud instances to bridge the end user and traditional Internet
services; and 2) estimating and offsetting the carbon emissions from the
traditional Internet services. In our paper, we proposed GreenMail, which is a
general IMAP proxy caching system that connects email users and traditional
email services. GreenMail runs on green web hosts to cache users' emails on
green cloud instances. Besides, it offsets the carbon emitted by traditional
backend email services. With GreenMail, users could set a carbon emission
constraint and use traditional email service without breaking any code
modification of user side and email server side.Comment: Master's Thesi
Towards Sustainable Urban Futures: Exploring Environmental Initiatives in Smart Cities
Environmentally sustainable smart cities have emerged as a promising approach to address the challenges of urbanization while promoting sustainable development and enhancing residents' quality of life. This research article presents the key findings of a comprehensive study that explores the various aspects and initiatives found in environmentally sustainable smart cities.Renewable energy plays a pivotal role in these cities, with a strong emphasis on harnessing solar, wind, and geothermal power. Investments in clean energy infrastructure, such as solar panels, wind farms, and geothermal plants, significantly reduce reliance on fossil fuels and contribute to lower carbon emissions.Energy efficiency is another critical aspect of sustainable smart cities. These cities prioritize the use of smart grids for optimized energy distribution, smart meters for real-time energy monitoring and control, and energy-efficient buildings equipped with insulation, lighting, and HVAC systems that minimize energy consumption.Smart transportation is a key initiative in environmentally sustainable smart cities, focusing on reducing traffic congestion and air pollution. Electric vehicles (EVs) are promoted, accompanied by the development of charging infrastructure. Intelligent transportation systems aid in effective traffic management, while active transportation modes such as cycling, walking, and public transportation are encouraged.Efficient waste management systems are implemented to minimize landfill waste and promote recycling and composting. Smart waste bins equipped with sensors optimize waste collection routes, reduce littering, and provide real-time data on fill levels, aiding in effective waste management.Water management strategies are prioritized to conserve this precious resource. Smart water meters monitor consumption patterns, rainwater harvesting systems are implemented, water-efficient practices are promoted in buildings, and advanced leak detection technologies minimize water loss.Green spaces and biodiversity conservation are fundamental in environmentally sustainable smart cities. By integrating parks, gardens, rooftop greenery, and urban forests, these cities enhance residents' well-being, improve air quality, and provide habitats for wildlife, thus promoting biodiversity.Data analytics and the Internet of Things (IoT) play a crucial role in monitoring and optimizing various city systems. Real-time data collection and analysis enable effective management of energy usage, traffic flow, waste management, and other infrastructure, facilitating informed decision-making and resource allocation.Citizen engagement is fostered in environmentally sustainable smart cities. Platforms for citizen participation enable residents to provide feedback, report issues, and actively contribute to decision-making processes related to urban planning, energy conservation, waste management, and other sustainability initiatives.The implementation of these strategies in environmentally sustainable smart cities aims to reduce carbon footprints, enhance resource efficiency, improve air and water quality, and create healthier and more livable urban environments. By embracing technology, innovation, and citizen engagement, these cities pave the way for a sustainable and resilient future
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